From aramdas at berkeley.edu  Wed Mar  1 01:05:55 2017
From: aramdas at berkeley.edu (Aaditya Ramdas)
Date: Tue, 28 Feb 2017 22:05:55 -0800
Subject: Connectionists: AISTATS 2017: Accepted Papers and Early Registration
Message-ID: <CAN5dWfOUsf=RD3htv3wnWuiKbTRGHA4gkf0s3GRtpOqqhauLJA@mail.gmail.com>

The final list of accepted papers can now be accessed online
<http://www.aistats.org/accepted.html>, with camera-ready versions of
papers to be uploaded to the website next month.


Please register early for cheaper rates (before Mar 7).


For more information regarding AISTATS 2017, please see the email below
(call for papers), or visit the AISTATS website.





On Sun, Aug 21, 2016 at 3:12 PM, Aaditya Ramdas <aramdas at berkeley.edu>
wrote:

>
> AISTATS <http://aistats.org/> is an interdisciplinary gathering of
> researchers at the intersection of artificial intelligence, machine
> learning, statistics, and related areas. The 20th International Conference
> on Artificial Intelligence and Statistics (AISTATS
> <http://www.aistats.org/>) will take place in Fort Lauderdale, Florida,
> USA from *April 20-22, 2017*.
>
> The deadline for paper submission is *Oct 13, 2016*, with final decisions
> made on Jan 24, 2017.
>
> New this year:
>
>    1. *Fast-track for Electronic Journal of Statistics*: Authors of a
>    small number of accepted papers will be invited to submit an extended
>    version for fast-track publication in a special issue of the Electronic
>    Journal of Statistics (EJS) after the AISTATS decisions are out. Details on
>    how to prepare such extended journal paper submission will be announced
>    after the AISTATS decisions.
>
>    2. *Review-sharing with NIPS*: Papers previously submitted to NIPS
>    2016 are required to declare their previous NIPS paper ID, and optionally
>    supply a one-page letter of revision (similar to a revision letter to
>    journal editors; anonymized) in supplemental materials. AISTATS reviewers
>    will have access to the previous anonymous NIPS reviews. Other than this,
>    all submissions will be treated equally.
>
>
> *Paper Submission:* Electronic submission of PDF papers is required. The
> main part of the paper (single PDF up to 5Mb) may be up to 8 double-column
> pages in length including tables/figures. References only can exceed the 8
> page limit. The main part should have enough information so that reviewers
> are able to judge the correctness and merit of the paper. Authors may
> optionally submit supplementary material (up to 10Mb) as a single zip file,
> containing additional proofs, audio, images, video, data or source code.
> Reviewing any supplementary material is up to the discretion of the
> reviewers.
>
> *Dual Submissions Policy:* Submissions that are identical (or
> substantially similar) to versions that have been previously published, or
> accepted for publication, or that have been submitted in parallel to other
> conferences or journals are not appropriate for AISTATS and violate our
> dual submission policy. Exceptions to this rule are the following: (a) it
> is acceptable to submit work that has been made available as a technical
> report or similar, e.g., on arXiv, without citing it (to preserve
> anonymity). (b) Submission is permitted for papers presented or to be
> presented at conferences or workshops without proceedings (e.g., ICML or
> NIPS workshops), or with only abstracts published. The dual-submission
> rules apply during the whole AISTATS review period until the authors have
> been notified about the decision on their paper.
>
> *Double-blind review:* Papers will be selected via a rigorous
> double-blind peer-review process (the reviewers will not know the
> identities of the authors, and vice versa). It will be up to the authors to
> ensure the proper anonymization of their paper and supplemental materials.
> Violation of the above rules may lead to rejection without review. One
> round of author rebuttal will occur with the initial reviews available to
> the authors.
>
> *Evaluation Criteria:* Submissions will be judged on the basis of
> technical quality, novelty, potential impact, and clarity. Typical papers
> often (but not always) consist of a mix of algorithmic, theoretical and
> experimental results, in varying proportions. Results will be judged on the
> degree to which they have been objectively established and/or their
> potential for scientific and technological impact.
>
> *Publication and presentation:* All accepted papers will be presented at
> the conference as posters, with a few selected for additional oral
> presentation. All accepted papers will be treated equally when published in
> the AISTATS Conference Proceedings (Journal of Machine Learning Research
> Workshop and Conference Proceedings series). At least one author of each
> accepted paper must register and attend AISTATS. A small number of accepted
> papers will be invited to submit an extended version for fast-track
> publication in a special issue of the Electronic Journal of Statistics
> (EJS) journal after the AISTATS decisions are out.
>
> *Topics:* Since its inception in 1985, the primary goal of AISTATS has
> been to promote the exchange of ideas from artificial intelligence, machine
> learning, and statistics. We encourage the submission of all papers in
> keeping of this objective. Solicited topics include, but are not limited to:
>
>    - Supervised, unsupervised and semi-supervised learning, kernel and
>    Bayesian methods
>    - Stochastic processes, hypothesis testing, causality, time-series,
>    nonparametrics, asymptotic theory
>    - Graphical models and inference, manifold learning and embedding,
>    network analysis, statistical analysis of deep learning
>    - Sparse models and compressed sensing, information theory
>    - Reinforcement learning, planning, control, multi-agent systems,
>    logic and probability, relational learning
>    - Learning theory, game theoretic learning, online learning, bandits,
>    learning for mechanism design
>    - Convex and non-convex optimization, discrete optimization, Bayesian
>    optimization
>    - Algorithms and architectures for high-performance computing
>    - Applications in biology, cognition, computer vision, natural
>    language, neuroscience, robotics, etc.
>    - Topological data analysis, selective inference, experimental design,
>    interactive learning, optimal teaching, and other emerging topics
>
>
> ---
> Aaditya Ramdas
> www.cs.berkeley.edu/~aramdas
>
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From k.g.a.vervaeke at medisin.uio.no  Wed Mar  1 04:30:02 2017
From: k.g.a.vervaeke at medisin.uio.no (Koen Gerard Alois Vervaeke)
Date: Wed, 1 Mar 2017 09:30:02 +0000
Subject: Connectionists: PhD and Postdoc positions in Systems Neuroscience
	in Oslo
Message-ID: <70504CBF-BCA8-4008-9A81-CC8AB2B2C200@ibv.uio.no>

A PhD and postdoc fellow position in Neuroscience is available in the group of Associate Professor Koen Vervaeke: http://vervaeke-lab.org/. The lab is located at the Division of Physiology, Institute of Basic Medical Sciences (IMB), at the University of Oslo. The project is funded by a Starting Grant from the European Research Council (ERC). The position is funded initially for a period of 3 years and available from April 1, 2017. The starting date is flexible.

See links on Nature Jobs:

http://www.nature.com/naturejobs/science/jobs/607287-post-doctoral-fellow-in-neuroscience

http://www.nature.com/naturejobs/science/jobs/607279-phd-position-in-neuroscience


Description of the project and the job

We are searching for highly motivated candidates with a strong interest in cortical circuits. We aim at determining cortical circuit functions in behaving animals and study the contribution of specific neuron types. The candidate will use in-vivo two-photon imaging and electrophysiology techniques to record neuronal activity, and use optogenetics to identify cell-specific contributions to cortex function.

Qualifications
Highly motivated students with a degree in neuroscience, biology, medicine, computer science, physics or engineering are encouraged to apply. Ideally, the applicants have basic experience with some of the following disciplines; Electrophysiology, microscopy, optogenetics or computational neuroscience. The candidates should be handy and be comfortable to work with rodents. Good programming skills (eg. Matlab/LabVIEW), being critical, and being a team player, are all a big plus. The candidate should be able to work independently and structured, while at the same time engage in close collaborations. Applicants must hold an MSc or M.D. degree.

Koen Vervaeke

www.vervaeke-lab.org<http://www.vervaeke-lab.org>

Domus Medica, University of Oslo
Sogsvannsveien 9,
0372 Oslo,
Norway
Koen Vervaeke


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From j.eppler at fz-juelich.de  Wed Mar  1 05:55:17 2017
From: j.eppler at fz-juelich.de (Jochen Martin Eppler)
Date: Wed, 1 Mar 2017 11:55:17 +0100
Subject: Connectionists: Release of NEST 2.12.0
Message-ID: <da3f9fbd-ab38-61ba-3845-cdef1d9e1088@fz-juelich.de>

Dear NEST users,

we're extremely happy to bring you NEST 2.12.0, which concludes the NEST
2 series. This release is the result of 1763 repository commits from 169
pull requests by 40 developers since v2.10.0.

The release brings numerous refinements, bug fixes and improvements in
all areas of NEST. For a full list of changes and download links, see

    https://github.com/nest/nest-simulator/releases/tag/v2.12.0

All users are encouraged to upgrade and adapt their simulation scripts
to the changes in the user interface at this point in time to benefit
from the improvements in the new version.

Best regards,
Jochen Eppler & Dennis Terhorst!


--
Dr. Jochen Martin Eppler
Phone: +49 2461 61-9471
----------------------------------
Simulation Laboratory Neuroscience
J?lich Supercomputing Centre
Institute for Advanced Simulation


------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------



From zrinka at nld.ds.mpg.de  Wed Mar  1 10:31:01 2017
From: zrinka at nld.ds.mpg.de (Zrinka Gattin)
Date: Wed, 1 Mar 2017 16:31:01 +0100
Subject: Connectionists: Call for Workshops - Bernstein Conference 2017,
 extended deadline: 15.03.2017
In-Reply-To: <58B6E902.8050000@nld.ds.mpg.de>
References: <58B6E902.8050000@nld.ds.mpg.de>
Message-ID: <58B6E935.4010002@nld.ds.mpg.de>


The Bernstein Network Computational Neuroscience and the Bernstein 
Center G?ttingen
invite proposals for Satellite Workshops.
Satellite Workshops will directly precede the Bernstein Conference 2017 
in G?ttingen.

**************************************************************
*Important Dates:*
_Workshops:_ September 12 - 13, 2017
_Main Bernstein Conference:_ September 13 - 15, 2017
_Deadline for proposal submission:_ *March 15, 2017*
_Notification of workshop acceptance:_ April 10, 2017

**************************************************************

Since 2013, the Bernstein Conference hosts pre-conference workshops. 
They provide a stage to discuss topical
research questions, novel scientific approaches and challenges in 
Computational Neuroscience and related fields.
Workshops addressing controversial issues, open problems, and 
comparisons of competing approaches are
encouraged. Workshop formats should be designed to foster debate beyond 
a mere series of talks.
The Bernstein Conference started out as the annual meeting of the 
Bernstein Network Computational Neuroscience
and has become the largest annual single-track Computational 
Neuroscience conference in Europe in recent years.

_Workshop time frame:_
September 12, 2017, 13:00 - 18:00
September 13, 2017,   9:00 - 12:30

Workshop proposals are welcome for either half-day or full-day workshops.

Workshop costs: NEW THIS YEAR ? FINANCIAL SUPPORT:
For all accepted workshops the registration is free of charge for 
organizers and speakers. Organizers will also receive
a waiver for the main conference fee. New this year: From the accepted 
workshops a maximum of ten workshops
will be selected to each receive financial support of up to 1.500,00 ?.

For further information about the conference, please visit the 
conference website http://www.bernstein-conference.de.

INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION
Workshop proposals must contain:
1) Workshop Title
2) Concise description of workshop topic
3) List of potential speakers indicating speaker commitment

Please use the Workshop Proposal Form that can be downloaded here:
http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops

*Deadline for submission of Workshop proposals:**March 15, 2017*

Accommodation and Hotel Reservation:
We strongly recommend early room booking.  The number of available 
accommodation is limited due to several
concurrent events. We arranged for room contingents in a variety of 
hotels that you may book by yourself by email or
phone. Please follow the instructions at our Accommodations Web-site
(http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation).
We would like to emphasize that these room contingents will be held open 
up to different expiration dates depending
on the hotel (or until they are filled). The earliest expiration date is 
already end of May 2017 whereas the majority of
offers expire at the 12th of July 2017. We strongly encourage 
participants to share rooms and to book rooms as a group.
Groups of three or four are possible if you book a suite.  The room 
contingent contains a set of suits and apartments.
We emphasize that it will be very difficult to book accommodation beyond 
the expiration dates.
Please find a list of the hotels  at our Accommodations Web-site.

CONTACT: contact at bccn-goettingen.de

We are looking forward to seeing you in G?ttingen!
WORKSHOP SELECTION COMMITTEE:
Florentin W?rg?tter (Chair)
Marion Silies (co-Chair)
Christian Tetzlaff (co-Chair)
Matthias Bethge
Laura Busse
Claudia Clopath
Julia Fischer
Alexander Gail
Richard Hahnloser
Claus Hilgetag
Peter Jonas
Siegrid L?wel
Michael Platt
Viola Priesemann
Nicole Rust
Fred Wolf (Conference Chair)


-- 
Dr Zrinka Gattin
Bernstein Center for Computational Neuroscience (BCCN) Goettingen
Bernstein Focus Neurotechnology (BFNT) Goettingen
PhD Program in Theoretical and Computational Neuroscience
Am Fassberg 17
D-37077 Goettingen

Phone:    +49 (0)551 5176 418
Fax:      +49 (0)551 5176 14418
E-Mail:zrinka at nld.ds.mpg.de






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From philippe.lucas at inra.fr  Wed Mar  1 10:52:37 2017
From: philippe.lucas at inra.fr (Philippe LUCAS)
Date: Wed, 1 Mar 2017 16:52:37 +0100
Subject: Connectionists: Postdoc position in Computational Neuroscience
In-Reply-To: <270ffeb8-d6cf-f052-666e-a0ff0de98d7a@inra.fr>
References: <270ffeb8-d6cf-f052-666e-a0ff0de98d7a@inra.fr>
Message-ID: <08c8661e-d01f-0223-1b65-a9f488606669@inra.fr>

Dear Colleagues,
Please find attached a postdoc position in computational neuroscience on 
insect olfaction.
Many thanks for contributing to its wide diffusion.
Best regards,
Philippe

*--*
**

*Dr Philippe LUCAS*

UMR 1392 iEES-Paris (http://ieesparis.ufr918.upmc.fr/)

Institute of Ecology and Environmental Sciences

INRA, Route de St Cyr, 78026 Versailles Cedex, France

Tel   +33 (0)1 30 83 37 37


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From jonrubin at pitt.edu  Wed Mar  1 16:24:14 2017
From: jonrubin at pitt.edu (Jonathan Rubin)
Date: Wed, 1 Mar 2017 16:24:14 -0500
Subject: Connectionists: MATH NEURO postdoc position
Message-ID: <9d4c7f88-2cce-ff66-d8f5-6d63c5dbf2f5@pitt.edu>

*Postdoctoral Position in Mathematical Neuroscience:  Basal Ganglia Dynamics

*Applications are invited for a postdoctoral position in the Department 
of Mathematics at the University of Pittsburgh, funded in part by the 
U.S. National Science Foundation.  The successful candidate will work 
with Professor Jonathan Rubin and other collaborators on the 
mathematical and computational analysis of issues relating to activity 
patterns in the basal ganglia, particularly under parkinsonian 
conditions, will teach one course per year, and will interact with other 
members of the Mathematical Biology Group and the Center for 
Neuroscience at the University of Pittsburgh.  There will be 
opportunities to consider other areas of mathematical neuroscience and 
to engage in some direct neural data analysis as well.  The position is 
funded for at least 2.5 years, with an initial one-year appointment and 
an expectation of extension, given satisfactory performance.  Applicants 
with a PhD in Mathematics, Applied Mathematics, Computational 
Neuroscience, or a related discipline that includes training in 
dynamical systems should send a CV including a list of publications, a 
research statement, and reference contact information to 
jonrubin at pitt.edu.  The start date is flexible and applications will be 
considered on a rolling basis until the position is filled.  The 
University of Pittsburgh is an Affirmative Action, Equal Opportunity 
Employer, and women and members of minority groups under-represented in 
academia are especially encouraged to apply.

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From Vittorio.Murino at iit.it  Thu Mar  2 05:24:56 2017
From: Vittorio.Murino at iit.it (Vittorio Murino)
Date: Thu, 2 Mar 2017 11:24:56 +0100
Subject: Connectionists: Computer Vision and Image Understanding,
 Special Issue on Image and Video Understanding in Big Data
Message-ID: <d093cbb2-2388-ef16-7da1-40b69e1bc9e6@iit.it>

_Please, note the publication of the following CVIU special issue:_

*Image and Video Understanding in Big Data **
***Volume 156, Pages 1-186, March 2017
*Edited by:
*Vittorio Murino, Shaogang Gong, Chen Change Loy and Loris Bazzani

More info, the Editorial (link 
<http://personal.ie.cuhk.edu.hk/%7Eccloy/cviu_si/files/cviu_si_editorial.pdf>) 
and the list of papers are provided in the following.

==========================================================


  Computer Vision and Image Understanding
  Special Issue on Image and Video Understanding in Big Data


      About This Special Issue

The big data era has brought with it new challenges to computer vision 
and image understanding. More scalable and robust methods are required 
to efficiently index, retrieve, organize and interact with big visual 
data. One can only think to the amount of image/video data downloaded 
every minute in social media or to the number of surveillance cameras 
installed in our cities nowadays. Both cases are not manageable without 
automatic or semi-automatic (e.g., human-in-the-loop) approaches capable 
of distill useful information from a large quantity of raw data. This 
special issue covers a wide range of topics, with a common denominator 
devoted to the analysis for understanding of images and videos. Some of 
these papers are extended versions of the best works presented at the 
International Conference on Image Analysis and Processing ICIAP 2015 
<http://www.iciap2015.eu/>, held in Genova in September 2015.


      Access

The issue is available electronically on Science Direct at the following 
link: http://www.sciencedirect.com/science/journal/10773142/156


      Table of Contents

 1. *Image and Video Understanding in Big Data *
    Vittorio Murino, Shaogang Gong, Chen Change Loy, Loris Bazzani
    PDF
    <http://personal.ie.cuhk.edu.hk/%7Eccloy/cviu_si/files/cviu_si_editorial.pdf>


 2. *MEG: Texture Operators for Multi-Expert Gender Classification *
    Modesto Castrillo?n Santana, Maria De Marsico, Michele Nappi, Daniel
    Riccio

 3. *Boosting Hankel Matrices for Face Emotion Recognition and Pain
    Detection *
    Liliana Lo Presti, Marco La Cascia

 4. *Social Profiling through Image Understanding: Personality Inference
    using Convolutional Neural Networks *
    Cristina Segalin, Dong Seon Cheng, Marco Cristani

 5. *Structured Learning of Metric Ensembles with Application to Person
    Re-Identification *
    Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel

 6. *Continuous Adaptation of Multi-Camera Person Identification Models
    through Sparse Non-redundant Representative Selection *
    Abir Das, Rameswar Panda, Amit K Roy-Chowdhury

 7. *A Bag-of-Words Equivalent Recurrent Neural Network for Action
    Recognition *
    Alexander Richard, Juergen Gall

 8. *Improved Scene Identification and Object Detection on Egocentric
    Vision of Daily Activities *
    Gonzalo Vaca-Castano, Samarjit Das, Joao P Sousa, Niels D. Lobo,
    Mubarak Shah

 9. *Fast Action Retrieval from Videos via Feature Disaggregation *
    Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao

10. *Detecting Anomalous Events in Videos by Learning Deep
    Representations of Appearance and Motion *
    Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe

11. *Deep Active Object Recognition by Joint Label and Action Prediction *
    Mohsen Malmir, Karan Sikka, Deborah Forster, Ian Fasel, Javier R
    Movellan, Garrison W Cottrell

12. *Weak Supervision for Detecting Object Classes from Activities *
    Abhilash Srikantha, Juergen Gall

13. *Efficient Large-Scale Multi-Class Image Classification By Learning
    Balanced Trees *
    Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le, Duc Anh Duong, Kiem
    Hoang, Shin'ichi Satoh

14. *Online Supervised Hashing *
    Fatih Cakir, Sarah A Bargal, Stan Sclaroff

15. *Scalable Greedy Algorithms for Transfer Learning *
    Ilja Kuzborskij, Francesco Orabona, Barbara Caputo


      Guest Editors

Vittorio Murino <http://profs.sci.univr.it/%7Eswan/>, Istituto Italiano 
di Tecnologia, Genova/University of Verona, Verona, Italy
Shaogang Gong <http://www.eecs.qmul.ac.uk/%7Esgg/>, Queen Mary 
University of London, UK
Chen Change Loy <http://personal.ie.cuhk.edu.hk/%7Eccloy/>, The Chinese 
University of Hong Kong, China
Loris Bazzani <http://www.lorisbazzani.info/>

==========================================================

-- 
Vittorio Murino

*******************************************
Prof. Vittorio Murino, Ph.D.
Director
PAVIS - Pattern Analysis & Computer Vision

IIT Istituto Italiano di Tecnologia
Via Morego 30
16163 Genova, Italy

Phone:	+39 010 71781 504
Mobile: +39 329 6508554
Fax: +39 010 71781 236
E-mail:vittorio.murino at iit.it

Secretary: Sara Curreli
email:	sara.curreli at iit.it
Phone: 	+39 010 71781 917

http://www.iit.it/pavis
********************************************

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From levink at unimelb.edu.au  Thu Mar  2 08:45:38 2017
From: levink at unimelb.edu.au (Levin Kuhlmann)
Date: Thu, 2 Mar 2017 13:45:38 +0000
Subject: Connectionists: RESEARCH FELLOW IN DEEP BRAIN STIMULATION FOR
 EPILEPSY AND SEIZURE PREDICTION (2 POSITIONS)
In-Reply-To: <SYXPR01MB10216917AEB8516FC8F4C552FD280@SYXPR01MB1021.ausprd01.prod.outlook.com>
References: <SYXPR01MB10216917AEB8516FC8F4C552FD280@SYXPR01MB1021.ausprd01.prod.outlook.com>
Message-ID: <SYXPR01MB102141FA1B3F79BDA104AFBBFD280@SYXPR01MB1021.ausprd01.prod.outlook.com>

Exciting med-tech opportunity at the interface between academia and industry. We are seeking talented research scientists to join a team conducting a clinical trial of a fully implantable system for seizure forecasting and control with epilepsy patients. Requires experience in electrophysiology and neural signal analysis.


There are two Research Fellow positions available in our epilepsy research group for a new NHMRC research project titled Critical Slowing in Epilepsy. The research will quantify how the brain changes around times where it is susceptible to seizures. Seizure susceptibility will be studied using a new deep brain stimulation and recording system in a first in man clinical trial in partnership with the medical device company, Medtronic. There are also opportunities to study seizure susceptibility using the one-of-a-kind long-term continuous intracranial electroencephalography database obtained from the clinical trial of the Neurovista Seizure Advisory System.



At least one of the Research Fellows will be involved in all aspects of the Medtronic trial, from testing with patients to data analysis and reporting. Testing will involve measuring the interaction between the brain's response to very small electrical stimuli and epilepsy-related changes.

Close date:  12 Mar 2017

Contact both Dr Levin Kuhlmann (levink at unimelb.edu.au) and Dr Dean Freestone (deanrf at unimelb.edu.au) for details. For a position description, selection criteria and to apply visit:

http://jobs.unimelb.edu.au/caw/en/job/890173/research-fellow-in-deep-brain-stimulation-for-epilepsy-and-seizure-prediction-2-positions
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From cchrist at cs.ucy.ac.cy  Thu Mar  2 12:23:12 2017
From: cchrist at cs.ucy.ac.cy (Chris Christodoulou)
Date: Thu, 2 Mar 2017 19:23:12 +0200
Subject: Connectionists: M.Sc. programme in Cognitive Systems - Open
 University of Cyprus and University of Cyprus
Message-ID: <0b3600f6-f01f-1a95-4f26-038ba11ab681@cs.ucy.ac.cy>

Dear Colleagues,

Our distance learning M.Sc. Program on Cognitive Systems is taking 
student applications for the academic year 2017 - 2018. The program is 
offered jointly by two state universities of Cyprus: the Open University 
of Cyprus, School of Pure and Applied Sciences, and the University of 
Cyprus, Departments of Psychology and Computer Science.

Courses will be taught in English via live online weekly meetings, exams 
will be taken in-class at a student?s country of residence, and an 
optional summer camp will be held in Cyprus.

Information about the curriculum structure and modules, application 
deadlines and fees, and financial support opportunities  can be found 
online at: http://cogsys.ouc.ac.cy

Applications for the academic year 2016-2017 are accepted online till 29 
March 2017.

We appreciate your help in circulating this announcement to interested 
students.

Best wishes,

Chris Christodoulou

* * *
Dr Chris Christodoulou
Department of Computer Science, University of Cyprus
P. O. Box 20537, 1678 Nicosia, Cyprus
Tel. (+357) 22 892752, Fax (+357) 22 892701
Email: cchrist at cs.ucy.ac.cy

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From thylton at eng.ucsd.edu  Thu Mar  2 12:38:45 2017
From: thylton at eng.ucsd.edu (Todd Hylton)
Date: Thu, 2 Mar 2017 09:38:45 -0800
Subject: Connectionists: Postdoctoral Position at UC San Diego - Physically
	Inspired Machine Learning
Message-ID: <CAFz-GGkcc=qBysb3AXeePLa_tWvSE9vD-bfNmg9sxQZmHWF+6w@mail.gmail.com>

Because real-world environments are too complex to be effectively
understood and captured by present day engineering models, current
technologies are largely incapable of interacting with the real-world
without substantial human assistance.  Preferably, technologies would
evolve solutions to high-level tasks that are easily communicated by
humans, but the concept of generic ?machine evolution? is largely
unexplored.  In this post-doctoral position, the researcher will develop
physically-inspired machine learning algorithms for systems (e.g. robots)
interacting with a physical environment.  Such algorithms should, for
example, incorporate online, unsupervised learning of multiscale
spatio-temporal structure and emphasize ?learning the physics of / physical
interaction with? real world environments.  The goals are developing a
unified conceptual understanding grounded in physics and demonstrating key
concepts in simulation.  Applicants should have a strong background in
statistical physics, thermodynamics and dynamical systems as well as
expertise in computing and machine learning.  The position reports to
Prof. Todd
Hylton <https://www.linkedin.com/in/todd-hylton-3841b81>, is located within
the Contextual Robotics Institute
<http://jacobsschool.ucsd.edu/contextualrobotics/> at UC San Diego, and
will interact with other researchers and faculty working in robotics,
machine learning and neuromorphic computing.  Please send your CV and a
short statement of interest to thylton at eng.ucsd.edu <thylton at ucsd.edu>.

-- 
Regards,

Todd Hylton <https://www.linkedin.com/in/todd-hylton-3841b81>
Executive Director, Contextual Robotics Institute
<http://jacobsschool.ucsd.edu/contextualrobotics/>
Professor of Practice, Department of Electrical and Computer Engineering
<http://ece.ucsd.edu/>
Jacobs School of Engineering <http://jacobsschool.ucsd.edu/>
UC San Diego
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From Sharon.Crook at asu.edu  Fri Mar  3 17:16:19 2017
From: Sharon.Crook at asu.edu (Sharon Crook)
Date: Fri, 3 Mar 2017 22:16:19 +0000
Subject: Connectionists: CNS*2017 Abstract Deadline Extension
In-Reply-To: <e7f86c4c-9bcd-48c5-9f54-88385cbc5438.10024625791.4128.1488573666677@memberclicks-mail.net>
References: <e7f86c4c-9bcd-48c5-9f54-88385cbc5438.10024625791.4128.1488573666677@memberclicks-mail.net>
Message-ID: <CY1PR0601MB111666CC443D372C651DB9A09A2B0@CY1PR0601MB1116.namprd06.prod.outlook.com>

Abstract Deadline Extended to March 12

CNS*2017 Call for Abstracts
Organization for Computational Neurosciences (OCNS)
26th Annual Meeting

Antwerp, Belgium
July 15-20, 2017

The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20).

Invited Keynote Speakers:

Erik De Schutter, Okinawa Institute of Science and Technology, Japan
Panayiota Poirazi, IMBB-Forth, Greece
Karl Friston, University College London, UK
Sue Denham, University of Plymouth, UK

A preliminary program for the workshops is available at:
http://www.cnsorg.org/cns-2017-workshops

Registration and abstract submission are open.
Abstract submission deadline: Extended to March 12, 2017

Travel Award Application deadline: Extended to March 12, 2017

Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded.

Latest safe date for Member applications before abstract submission extended to March 8.

For up-to-date conference information, please visit:
http://www.cnsorg.org/meetings



From rossia at mail.nih.gov  Fri Mar  3 15:50:36 2017
From: rossia at mail.nih.gov (Rossi, Andrew (NIH/NIMH) [E])
Date: Fri, 3 Mar 2017 20:50:36 +0000
Subject: Connectionists: NIMH funding opportunities for Convergent
	Neuroscience
Message-ID: <3316D5381B2B3D42BF3EF6CDD4FACFA53D455C34@msgb08.nih.gov>

To whom it may concern,

  I wanted to let you know about exciting new Physical Sciences and Computational Methods Funding Opportunity Announcements from NIMH that haven just been published at the following urls:


*         From Genomic Association to Causation: A Convergent Neuroscience Approach for Integrating Levels of Analysis to Delineate Brain Function in Neuropsychiatry (U01)<https://grants.nih.gov/grants/guide/pa-files/PAR-17-179.html>

*         From Genomic Association to Causation: A Convergent Neuroscience Approach for Integrating Levels of Analysis to Delineate Brain Function in Neuropsychiatry (Collaborative U01)<https://grants.nih.gov/grants/guide/pa-files/PAR-17-176.html>
The deadline for submitting application is May 1st, 2017.

These FOAs seek to bring a physical sciences perspective (e.g., data/computational science, physics, engineering, mathematics, and environmental sciences) to neuropsychiatric research questions. Project under this FOA would develop, test, and validate explanatory computational models, artificial intelligence conceptual frameworks and theoretical approaches that connect contiguous levels of analysis to elucidate biological underpinnings of complex behavioral (including cognitive and affective) outcomes in psychopathology.

If you have any questions related to these announcements please contact us at Geetha.Senthil at nih.gov<mailto:Geetha.Senthil at nih.gov> and Andrew.Rossi at nih.gov<mailto:Andrew.Rossi at nih.gov> to discuss further.  Please feel free to share these with other groups who would be interested in applying.


Andrew F. Rossi, Ph.D.
Chief, Executive Functions Program<http://www.nimh.nih.gov/about/organization/dnbbs/behavioral-science-and-integrative-neuroscience-research-branch/executive-functions-program.shtml>
Division of Neuroscience and Basic Behavioral Science, NIMH
ph 301-443-1576

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From samuel.kaski at aalto.fi  Sun Mar  5 06:39:59 2017
From: samuel.kaski at aalto.fi (Kaski Samuel)
Date: Sun, 5 Mar 2017 11:39:59 +0000
Subject: Connectionists: Postdoc and research fellow positions in machine
 learning in Helsinki, DL Mach 19
Message-ID: <B45575F5-0372-4965-AC69-9BECCF18CAA7@aalto.fi>

We are recruiting postdocs and research fellows in probabilistic machine learning, and computational inference more generally, with and without applications in user interaction, precision medicine, and data-driven healthcare. DL is already March 19.

More details below and in the broader call at http://www.hiit.fi/several-postdoctoral-researcher-and-research-fellow-positions-ict-helsinki-finland

Best wishes,
Samuel Kaski


Several Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland)

Aalto University and University of Helsinki, the two leading universities in Finland within computer science and information technology, are looking for excellent researchers in several areas of ICT.Positions are available in the following areas:

1. HIIT Research Programme on Computational Inference programme (COIN), Professors Samuel Kaski, Jukka Corander, Petri Myllyma?ki, Antti Oulasvirta, Matti Pirinen, Aki Vehtari
2. Foundations of Computational Health, Juho Rousu, Aristides Gionis, Keijo Heljanko, Jari Saram?ki (Aalto University), Tero Aittokallio, Ville Mustonen (University of Helsinki). NB! Up to 4 positions available.
3. HIIT Research Programme on Building Trust in Secure Computing Systems (BURST), Professors Tuomas Aura, N. Asokan, Valtteri Niemi, Stavros Tripakis,  Sasu Tarkoma
4. HIIT Research Programme on Augmented Research (AR), Professors Giulio Jacucci, Samuel Kaski, Petri Myllym?ki, Aristides Gionis, Sasu Tarkoma, Niklas Ravaja
5. High-throughput bioinformatics and epigenomics, Prof. Harri L?hdesm?ki
6. Solver Technology for Answer-set Programming, Professor Ilkka Niemel? and Dr. Tomi Janhunen Department of Computer Science, Aalto University
7. Machine Learning and Adaptive User Interfaces, Professor Antti Oulasvirta, Department of Communications and Networking, Aalto University; Professor Jukka Corander, Department of Mathematics and Statistics, University of Helsinki; Professor Samuel Kaski, Department of Computer Science & Helsinki Institute of Information Technology HIIT, Aalto University
8. Probabilistic Machine Learning, Professor Samuel Kaski, Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki
9. Probabilistic machine learning for precision medicine and data-driven healthcare, Professor Samuel Kaski, Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki
10. Internet of Things, Mario Di Francesco, Department of Computer Science, Aalto University
11. New language modeling methods for video subtitling and foreign language learning, Mikko Kurimo, Aalto University, Department of Signal Processing and Acoustics

For the full call text and information about the application process, please visit http://www.hiit.fi/several-postdoctoral-researcher-and-research-fellow-positions-ict-helsinki-finland.

The deadline for the call is March 19, 2017 Finnish time. 



From pkordjam at tulane.edu  Sat Mar  4 11:54:56 2017
From: pkordjam at tulane.edu (Kordjamshidi, Parisa)
Date: Sat, 4 Mar 2017 16:54:56 +0000
Subject: Connectionists: CFP: IJCAI-2017 Workshop on Declarative Learning
	Based Programming
Message-ID: <8B86D9DB-5797-47D5-B548-3EDB49F29171@tulane.edu>

----------------------------------------------------------------
CALL FOR PAPERS and PARTICIPANTS
----------------------------------------------------------------
2nd International Workshop on Declarative Learning Based Programming (DeLBP 2017)
In conjunction withTwenty- sixth International Joint Conference on Artificial Intelligence (IJCAI-17), August 19?20, 2017, Melbourne, Australia.
Website: http://delbp.github.io<http://delbp.github.io/>

---------------------------------------------------------------
AIM AND SCOPE
?????????????????????

The main goal of Declarative Learning Based Programming (DeLBP) workshop is to investigate the issues that arise when designing and using programming languages that support learning from data and knowledge.
DeLBP aims at facilitating and simplifying the design and development of intelligent real world applications that use machine learning and reasoning by addressing the following commonly observed challenges: Interaction with messy, naturally occurring data; Specifying the requirements of the application at a high abstraction level; Dealing with uncertainty in data and knowledge in various layers of the application program; Using representations that support flexible relational feature engineering; Using representations that support flexible reasoning and structure learning; Integrating a range of learning and inference algorithms; and finally addressing the above mentioned issues in one unified programming environment.

Conventional programming languages offer no help to application programmers that attempt to design and develop applications that make use of real world data, and reason about it in a way that involves learning interdependent concepts from data, incorporating and composing existing models, and reasoning about existing and trained models and their parametrization. Over the last few years the research community has tried to address these problems from multiple perspectives, most notably various approaches based on Probabilistic programming, Logical Programming and the integrated paradigms. The goal of this workshop is to present and discuss the current related research and the way various challenges have been addressed.

We aim at motivating the need for further research toward a unified framework in this area based on the key existing paradigms: Probabilistic Programming (PP), Logic Programming (LP), Probabilistic Logical Programming (PLP), First-order query languages and database management systems (DBMS) and deductive databases (DDB), Statistical relational learning and related languages (SRL), and connect these to the ideas of Learning Based Programming. We aim to discuss and investigate the required type of languages and representations that facilitate modeling probabilistic or non-probabilistic complex learning models,  deep architectures, and provide the ability to combine, chain and perform flexible inference with existing models and by exploiting domain knowledge. (Website: http://delbp.github.io<http://delbp.github.io/>)

----------------------------------------------------------------
TOPICS OF INTEREST
?????????????????????
? New abstractions and modularity levels towards a unified framework for learning and reasoning,
      ? Frameworks/Computational models to combine learning and reasoning paradigms and exploit accomplishments in AI from various perspectives.
?  Flexible use of structured and relational data from heterogeneous resources in learning.
      ? Data modeling (relational/graph-based ) issues in such a new integrated framework for learning based on data and knowledge.
? Exploiting knowledge such as expert knowledge and common sense knowledge expressed via multiple formalisms, in learning.
? The ability of closing the loop to acquire knowledge from data and data from knowledge towards life-long learning, and reasoning.
? Using declarative domain knowledge to guide the design of learning models,
      ? Including feature extraction, model selection, dependency structure and deep learning architecture.
? Structure Learning and automation of hyper-parameter tuning.
? Design and representation of complex learning and inference models.
? The interface for learning-based programming,
      ?  Either in the form of programming languages, declarations, frameworks, libraries or graphical user interfaces.
? Storage and retrieval of trained learning models in a flexible way to facilitate incremental learning.
? Related applications in Natural language processing, Computer vision, Bioinformatics, Computational biology, etc.

----------------------------------------------------------------
IMPORTANT DATES
----------------------------------------------------------------



? Submission Deadline: May 8th, 2017
? Notification: June 5th, 2017
? Workshop Days: August 19th-20th, 2017

----------------------------------------------------------------
SUBMISSION AND SELECTION PROCESS
----------------------------------------------------------------

We encourage contributions with either a technical paper (IJCAI style, 6 pages without references), a position statement (IJCAI style, 2 pages maximum) or an abstract of a published work. IJCAI Style files available here<http://ijcai-17.org/FormattingGuidelinesIJCAI-17.zip> [http://ijcai-17.org/FormattingGuidelinesIJCAI-17.zip]. Please make submissions via EasyChair, here<https://easychair.org/conferences/?conf=delbp2017> [https://easychair.org/conferences/?conf=delbp2017].

----------------------------------------------------------------
PROGRAM COMMITTEE
----------------------------------------------------------------

 Guy Van den Broeck<http://people.cs.kuleuven.be/%7Eguy.vandenbroeck/>, University of California, Los Angeles
 Sameer Singh<http://sameersingh.org/>, University of California, Irvine
 Avi Pfeffer<http://www.gelberpfeffer.net/avi>, Charles River Analytics
 Rodrigo de Salvo Braz<http://www.ai.sri.com/%7Ebraz/>, SRI International
 Tias Guns<https://people.cs.kuleuven.be/~tias.guns/>, Vrije University of Brussels
 Christos Christodoulopoulos<http://christos-c.com>, Amazon Cambridge, UK
 William Wang<https://www.cs.ucsb.edu/~william/>, University of California, Santa Barbara
 Kai-Wei Chang<http://www.cs.virginia.edu/~kc2wc/>, University of Virginia
----------------------------------------------------------------
ORGANIZING COMMITTEE
----------------------------------------------------------------

Parisa Kordjamshidi<http://people.cs.kuleuven.be/%7Eparisa.kordjamshidi/>,  Tulane University, IHMC
Dan Roth<http://l2r.cs.uiuc.edu/>,  University of Illinois at Urbana-Champaign
Jan-Willem Van den Meent<http://www.ccs.neu.edu/home/jwvdm/>,   Northeastern University
Dan Goldwasser<https://www.cs.purdue.edu/homes/dgoldwas/>,  Purdue University
Vibhav Gogate<http://www.hlt.utdallas.edu/~vgogate/>,  University of Texas at Dallas
Kristian Kersting<http://www-ai.cs.uni-dortmund.de/PERSONAL/kersting.html>,  TU Dortmund University

----------------------------------------------------------------
CONTACT
----------------------------------------------------------------

delbp-2 at googlegroups.com<mailto:delbp-2 at googlegroups.com> (Organization Committee)
pkordjam at tulane.edu<mailto:pkordjam at tulane.edu>

Please circulate this CFP among your colleagues and students.

-------------------------------------------
Kordjamshidi, Parisa
Assistant Professor
CS Department at Tulane University
Research Scientist at IHMC<https://www.ihmc.us/>
Homepage<http://www.cs.tulane.edu/~pkordjam/>



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From mhb0 at lehigh.edu  Sun Mar  5 17:11:40 2017
From: mhb0 at lehigh.edu (Bickhard Mark)
Date: Sun, 5 Mar 2017 17:11:40 -0500
Subject: Connectionists: Interactivist Summer Institute 2017 3rd announcement
Message-ID: <D7008466-51AE-4337-AE19-D50C55B4D38F@lehigh.edu>

You are invited to the Ingeractivist Summer Institue in Ohrid, Macedonia:

GENERAL INFORMATION

Interactivist Summer Institute 2017
July 21 - 24, 2017
Ohrid, Macedonia



The Interactivist Summer Institute is dedicated to exploring the frontiers of understanding of life, mind, and cognition. There is a growing recognition - across many disciplines - that phenomena of life and mind, including cognition and representation, are emergents of far-from-equilibrium, interactive, autonomous systems. In such a view, mind and biology, mind and agent, are re-united. The classical treatment of cognition and representation within a formalist framework of encodingist assumptions is increasingly recognized as a fruitless maze of blind alleys. From neurobiology to robotics, from cognitive science to philosophy of mind and language, dynamic and interactive alternatives are being explored. Dynamic systems approaches, enactivist and autonomous agent research join in the effort.

The interactivist model offers a theoretical approach to matters of life and mind, ranging from evolutionary- and neuro-biology (including the emergence of biological function) through representation, perception, motivation, memory, learning and development, emotions, consciousness, language, action theory, rationality, sociality, personality and psychopathology, and ethics. This work has developed interfaces with studies of central nervous system functioning, the ontology of process, autonomous agents, philosophy of science, and all areas of psychology, philosophy, and cognitive science that address the person.



http://www.lehigh.edu/~interact/index.html <http://www.lehigh.edu/~interact/index.html>


Mark H. Bickhard
Lehigh University
17 Memorial Drive East
Bethlehem, PA 18015
mark at bickhard.name
http://bickhard.ws/






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From lpulina at uniss.it  Mon Mar  6 05:02:32 2017
From: lpulina at uniss.it (Luca Pulina)
Date: Mon, 6 Mar 2017 11:02:32 +0100
Subject: Connectionists: QBFEVAL'17 - First Call for Participation
Message-ID: <adfef7a9-2d1f-9a81-b36a-41224ffe9abc@uniss.it>

[apologies for any cross-posting]

******************************************************************
QBFEVAL'17 - Competitive Evaluation of QBF Solvers
First Call for Participation

A joint event with SAT 2017 - The 20th International Conference on
Theory and Applications of Satisfiability Testing,
28 August - 1 September, Melbourne, Australia (2017)

******************************************************************


QBFEVAL'17 will be the 2017 competitive evaluation of QBF solvers, and
the twelfth evaluation of QBF solvers and instances ever. QBFEVAL'17
will award solvers that stand out as being particularly effective on
specific categories of QBF instances. The evaluation will run using
the computing infrastructure made available by StarExec.

We warmly encourage developers of QBF solvers to submit their work,
even at early stages of development, as long as it fulfills some very
simple requirements. We also welcome the submission of QBF formulas to
be used for the evaluation. Researchers thinking about using QBF-based
techniques in their area (e.g., formal verification, planning,
knowledge reasoning) are invited to contribute to the evaluation by
submitting QBF instances of their research problems (see the
requirements for instances). The results of the evaluation will be a
good indicator of the current feasibility of QBF-based approaches and
a stimulus for people working on QBF solvers to further enhance their
tools.

Details about solvers and benchmarks submission, tracks, and related
rules, are available at http://www.qbflib.org/qbfeval17.php

For questions, comments and any other issue regarding QBFEVAL'17,
please get in touch with qbf17 at qbflib.org.



Important Dates

Registration open: April 1st 2017
Registration close: May 22nd 2017
Solvers and Benchmarks due: May 30th 2017
Final results: presented at SAT'17


Organizing committee

Organization
Luca Pulina, University of Sassari
Martina Seidl, Johannes Kepler Universit?t Linz

Judges
Olaf Beyersdorff, University of Leeds
Daniel Le Berre, Universit? d'Artois
Martin Suda, Technische Universit?t Wien
Christoph Wintersteiger, Microsoft Research Limited


-- 
Luca Pulina, Ph.D.
Assistant Professor of Computer Science

POLCOMING - Department of Political Science, Communication, Engineering and Information Technologies
University of Sassari
e-mail lpulina at uniss.it
http://sites.google.com/site/lpulina


From dhallabhinav at gmail.com  Mon Mar  6 08:31:57 2017
From: dhallabhinav at gmail.com (abhinav dhall)
Date: Mon, 6 Mar 2017 19:01:57 +0530
Subject: Connectionists: [CFP] Fifth Emotion Recognition in the Wild
	challenge 2017
Message-ID: <CAAnBe=z6sWyRV46S+xF0yxWVOvyA=GFhyNqy7CpvDJ9fzL_VJQ@mail.gmail.com>

Apologies for cross-postings

Call for challenge participation

Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017
https://sites.google.com/site/emotiwchallenge

@ ACM International Conference on Multimodal Interaction 2017, Glasgow
---------------------------------------------------------------------

The Fifth Emotion Recognition in the Wild 2017 Challenge consists of
multimodal classification challenges, which mimics real-world conditions.
Traditionally, emotion recognition has been performed on laboratory
controlled data. While undoubtedly worthwhile at the time, such lab
controlled data poorly represents the environment and conditions faced in
real-world situations. With the increase in the number of video clips
online, it is worthwhile to explore the performance of emotion recognition
methods that work ?in the wild?. There are two sub-challenges: audio-video
based emotion recognition in videos and group-level emotion recognition in
the images (new).

Timeline:

Challenge Website Up: early March 2017
Train and validate data available: April 2017
Test data available: 8 July 2017
Last date for uploading the results: 23 July 2017
Paper submission deadline:  10 August 2017
Notification: 1 September 2017
Camera-ready papers: 21 September 2017

Organisers
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Jesse Hoey and Tom Gedeon

Contact
emotiw2014 at gmail.com


-- 
Abhinav Dhall, PhD (ANU)
Assistant Professor,
Indian Institute of Technology Ropar
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From arokem at gmail.com  Mon Mar  6 12:21:58 2017
From: arokem at gmail.com (Ariel Rokem)
Date: Mon, 6 Mar 2017 09:21:58 -0800
Subject: Connectionists: Call for papers: Neuroscience in Python --
 mini-symposium at the Scientific Computing in Python conference,
 2017 (Scipy), July 10th-16th, UT Austin
Message-ID: <CA+X4w0wkCpBruCNftxq1=snG84wJKa0aUDdTQDugTDUk2c84SQ@mail.gmail.com>

SciPy 2017, the sixteenth annual Scientific Computing with Python
conference, will be held this July 10th-16th in Austin, Texas. SciPy is a
community dedicated to the advancement of scientific computing through open
source Python software for mathematics, science, and engineering. The
annual SciPy Conference allows participants from all types of organizations
to showcase their latest projects, learn from skilled users and developers,
and collaborate on code development.

This year?s conference will feature a mini-symposium on Neuroscience in
Python. Developers and scientists using Python to answer questions about
the brain at any scale, and using any experimental/computational method,
are invited to submit their proposals to participate and present their work
at the conference

For details and submission: http://scipy2017.scipy.org/ehome/220975/493425/

Important dates:

Abstract submission deadline: March 27th

Notification of acceptance: May 2nd


Chairs:

Olivia Guest, University College London

Ariel Rokem, The University of Washington eScience Institute
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From pstone at cs.utexas.edu  Mon Mar  6 19:15:16 2017
From: pstone at cs.utexas.edu (Peter Stone)
Date: Mon, 06 Mar 2017 18:15:16 -0600
Subject: Connectionists: [Jobs] Cogitai,
	Inc. -- Well-funded AI startup looking to hire
Message-ID: <86661.1488845716@skipper.cs.utexas.edu>



Cogitai, Inc., a new AI-based startup focusing on continual learning, is
seeking highly skilled and motivated individuals for immediate hire.


About Cogitai
=============
Cogitai, Inc. is dedicated to building artificial intelligences (AIs)
that learn continually from interactive experience with the real world.
Our goal is to build the brains, i.e., the continual-learning AI
software, that will let everyday things that sense and act get smarter,
more skilled, and more knowledgeable over time with experience.  This
experience will be shared across things and across domains to allow the
rapid scaling-up of experience-based learning.  In short, we aim to
become the world leader in continual learning.


Positions
=========
We seek ambitious and dedicated individuals at all levels of experience,
ranging from Bachelors to post-Ph.D.  The ideal candidate will

  1) have extensive AI expertise, especially in reinforcement
     learning, vision, and/or robotics;

  2) have strong system-building skills; and

  3) be passionate about helping us make continual learning practical in
     a broad range of applications.

For candidates at the Ph.D. level, 1) is more important.  For candidates
vat the Bachelors and Masters level, 2) is more important.  3) is
essential for everyone!

Our most active searches at the moment are for:

Software Engineer - AI
and
Software Engineer - Platform

For details, see: http://www.cogitai.com/hiring/


Our Team
========
Our team consists of many of the leading minds in reinforcement
learning (RL), which is one of the core component technologies of
continual learning.  The three founders have a combined total of over
60 years of active research and development in AI, and many of our
full-time employees have extensive hands-on research experience in
RL. We also have assembled a "Brain Trust" of ten of the world's best
academics in this area, who will be actively engaged in technology
development for the company.

Founders:  Mark Ring, Peter Stone, and Satinder Singh

VP of Engineering:  Peter Wurman (co-founder of Kiva Systems)

Brain Trust:  Andy Barto, Michael Bowling, Peter Dayan, Charles Isbell,
Michael Littman, David Parkes, Doina Precup, Ben Van Roy, Richard
Sutton, Jianwei Zhang


Timeline
========
Thanks to a substantial strategic investment from Sony (see
www.cogitai.com for details), as well as various other sources of
funding, Cogitai is prepared to hire qualified individuals for immediate
start.  Individuals who prefer to start later (but still within the next
several months), are also encouraged to apply.


Location and Working Hours
==========================
We are a fully distributed company, so location is flexible.  Employees
are expected to be generally available at least during the core hours of
8am-2pm PT / 11am-5pm ET on weekdays.


Contact
=======
Webpage: http://www.cogitai.com/
If interested, contact us at hiring at cogitai.com


-----
Peter Stone
President and COO
Cogitai, Inc.
[[www.cogitai.com]]

From alessandro at idsia.ch  Tue Mar  7 06:23:39 2017
From: alessandro at idsia.ch (Alessandro Antonucci)
Date: Tue, 7 Mar 2017 12:23:39 +0100
Subject: Connectionists: [ECSQARU 2017] Last Call for Papers (deadline
	extended to March 20)
Message-ID: <CAOvRwnZXKFfSVEssosbHscQeo1O=nkd_fnT3HR53y3P-WDYOmw@mail.gmail.com>

http://ecsqaru.idsia.ch

The 14th European Conference on Symbolic and Quantitative Approaches
to Reasoning with Uncertainty (ECSQARU 2017) will be held in Lugano
(Switzerland), on July 10-14, 2017, jointly with the 10th
International Symposium on Imprecise Probability: Theories and
Applications (ISIPTA ?17).

Possible topics include, but are not limited to: algorithms for
uncertain inference, argumentation systems, automated planning and
acting, Bayesian networks and causal networks, belief functions,
belief revision and merging, classification and clustering, decision
theory and graphs, default reasoning, description logics with
uncertainty, empirical studies of algorithms, foundations of
reasoning, fuzzy sets and fuzzy logic, game theoretic agents,
implementation and applications of uncertain systems, imprecise
probabilities, inconsistency handling, information fusion, learning
for uncertainty formalisms, logics for reasoning under uncertainty,
Markov decision processes, probabilistic logics, possibility theory
and possibilistic logic, preferences, rough sets, semantic web and
uncertainty, uncertainty in databases, uncertainty & data integration,
uncertainty and data mining, decision making under uncertainty.

We invite submissions for long (up to 10 pages) and short papers (up
to 6 pages).

All accepted papers (long or short) will be published electronically
in the Springer Lecture Notes in Artificial Intelligence subseries
(LNCS series). Each submission will be reviewed by peers using a
single-blind process. All accepted papers will be presented at the
conference. At least one of the paper?s authors should register and
attend the conference to present the work.

After the conference, a special issue with a selection of the accepted
papers will be published in an expanded version in the International
Journal of Approximate Reasoning.

We also invite applications for the Springer Young Researcher Award.
The prize, granted by Springer, will be awarded to one young
researcher for excellent research in fields related to the ECSQARU
scope. The award is open to Master students, PhD students and young
post-doc researchers who have received their PhD in 2016 (or 2017).
Applicants should have submitted a paper (short or long, not
necessarily as first authors) to ECSQARU 2017. Applications should be
received by the paper submission deadline.

Invited speakers will be: Leila Amgoud, Alessio Benavoli, Jim Berger,
Didier Dubois, and Eyke H?llermeier.

Important Dates
- March 13th, 2017: Abstract submission deadline
- March 20th, 2017: Paper submission deadline (last extension)
- April 18th 2017: Author notification
- May 2nd 207: Camera-ready copy due
_________________________________

Alessandro Antonucci
IDSIA
Dalle Molle Institute
for Artificial Intelligence
Via Cantonale (Galleria 2)
CH-6928, Manno-Lugano, CH

mail: alessandro at idsia.ch
skype: alessandro.antonucci
tel: +41 916108515
web: www.idsia.ch/~alessandro
_________________________________


From dvazquez at cvc.uab.es  Tue Mar  7 04:35:22 2017
From: dvazquez at cvc.uab.es (David Vazquez)
Date: Tue, 07 Mar 2017 10:35:22 +0100 (CET)
Subject: Connectionists: =?utf-8?q?CVVT_2017_=E2=80=93_8th_international_W?=
 =?utf-8?q?orkshop_on_Computer_Vision_in_Vehicle_Technology?=
Message-ID: <33291386.922.1488879322917.open-xchange@srvopenx.cvc.uab.es>

********************************************************

CfP - Apologies for multiple copies

********************************************************

CVVT 2017 ? 8th international Workshop on Computer Vision in Vehicle Technology

Honolulu, Hawaii, 21th July 2017

In conjunction with CVPR 2017

Web: http://adas.cvc.uab.es/cvvt2017

********************************************************

_________________

IMPORTANT DATES
_________________

Submission deadline: 18th March 2017

Author notification: 18th April 2017

Camera-ready: 15th May 2017

Workshop: 21th July 2017

________________

CALL FOR PAPERS
________________

The 8th international Workshop on Computer Vision in Vehicle Technology aims to
get together researchers in computer vision to promote discussion and debate on
its application to assisted driving, exploration rovers, aerial vehicles and
underwater vehicles.

We invite the submission of original research contributions in computer vision
addressed to:

- Autonomous navigation and exploration

- Vision-based advanced driver assistance systems

- Vision-based underwater and unmanned aerial vehicles

- Visual driver monitoring and driver-vehicle interfaces

- On-board camera calibration

- Performance evaluation of vehicular applications

- Machine learning techniques for vehicle technology

- Vision based geo-localization

The workshop will also host invited talks on assisted driving, exploratory
rovers, aerial vehicles and underwater vehicles.

____________

SUBMISSION
____________

Authors should take into account the following:

- The submission site is https://cmt.research.microsoft.com/CVVT2017/.

- The maximum paper length is 8 pages (plus references). The format of the
papers is the same as the CVPR main conference.

- We accept dual submissions to CVPR 2017 and CVVT 2017, but the manuscript must
contain substantial original contents not submitted to another conference,
workshop or journal.

- Submissions will be rejected without review if they: contain more than 8 pages
(excluding references), violate the double-blind policy or violate the
dual-submission policy.

- Manuscript templates can be found at the main conference
website:<http://cvpr2017.thecvf.com/>

_____________________

BEST PAPER
_____________________

The CVVT will award the best student paper of the workshop, voted by the program
committee. More details will be provided in the workshop web page.

_________

Contact
_________

cvvtconference at gmail.com

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From sheikh at tk.tu-darmstadt.de  Tue Mar  7 12:39:59 2017
From: sheikh at tk.tu-darmstadt.de (Sheikh Mahbub Habib)
Date: Tue, 7 Mar 2017 17:39:59 +0000
Subject: Connectionists: IFIP TM 2017: Call for Graduate Symposium Paper
	(Gothenburg, Sweden)
Message-ID: <0EFBD807BC4DE04286BB540DC72ADDA8EF839B3A@exchange01.tk.informatik.tu-darmstadt.de>

Apologies for cross-postings
****************************************************************
The 11th IFIP International Conference on Trust Management Gothenburg, 12-16 June 2017

http://s.ifiptm.org/conf2017 

Call for Graduate Symposium
****************************************************************

The 2017 IFIPTM Graduate Symposium on Trust and Trust Management carries on a series of successful Summer Schools in Denmark, India and Spain and the Graduate Symposiums in Singapore and Germany. The aim of the 2017 two day Symposium is to provide graduate students at any stages of their graduate career a view of the research, open issues, and state of the art in the field of Computational Trust and Trust Management. Topics of interest also include security, privacy, economic, and psychological aspects of trust as well as all topics mentioned in the Call for Papers. The Symposium features lectures by experts in the field, exploring the theory, philosophy and practice of Trust and Trust Management and its application to society and science. There will be ample opportunity to network with presenters and other students. Participants will work on small projects together to apply skills and knowledge and learn from each other. A special conference session is planned for selected students to present their work in the main IFIPTM conference, followed by a poster session. Accepted abstracts will appear in the proceedings of the IFIPTM conference.

We are happy to announce that the symposium will be accessible at a heavily discounted price of 500 SEK when registering to the main conference at the student registration price of 3000 SEK. A preliminary program of both the symposium and the conference can be found at <http://wp.portal.chalmers.se/ifiptm2017/program/>.

For more details of the Graduate Symposium visit Graduate Symposium page or contact the Graduate Symposium Organizers, Stephen Marsh (stephen.marsh at uoit.ca) and Musard Balliu (musard at chalmers.se).

Important Dates

Abstract submission due: March 21, 2017
Notification of acceptance: March 24, 2017 
Revised abstract due: March 30, 2017 
Symposium dates: June 12-13, 2017

Submission Instructions

To apply for the symposium, please prepare an extended abstract (maximum of 2 pages) describing your research. This extended abstract should include an overview of your work related to trust (computational or 'actual'), and a short justification of why trust is important to the work you do as a graduate student. Please send this extended abstract to the symposium organizers (stephen.marsh at uoit.ca and musard at chalmers.se). Please refer to the Call for Papers for formatting instructions. Accepted abstracts will be included in the printed conference proceedings published by Springer in the IFIP AICT series.

Best,

----
Dr. Sheikh M. Habib 
Area Head, Smart Protection in Infrastructures and Networks (SPIN)
Telecooperation Division
Department of Computer Science
Technische Universit?t Darmstadt
Germany
Tel.:+4961511623199
Web: https://www.tk.informatik.tu-darmstadt.de/de/people/sheikh-mahbub-habib 




From gaute.einevoll at nmbu.no  Tue Mar  7 14:05:43 2017
From: gaute.einevoll at nmbu.no (Gaute Einevoll)
Date: Tue, 7 Mar 2017 19:05:43 +0000
Subject: Connectionists: postdoc position in computational
 neuroscience/brain physics in Oslo Norway
Message-ID: <D4E4C312.C300E%Gaute.Einevoll@nmbu.no>

Postdoctoral Research Fellowship in Computational Neuroscience/Brain Physics in Oslo, Norway

Applications are invited for a post-doctoral position in computational neuroscience/brain physics at the Department of Physics at the University of Oslo. The position is funded by the Research Council of Norway as part of the FRINATEK project "COmputing BRAin signals (COBRA): Biophysical computations of electrical and magnetic brain signals". The position is for 2 years and expected start date is in the Spring/Summer of 2017.

Job/project description:

The successful candidate will develop and apply physics-based computational methods to model electrical and magnetic brain signals measured inside (local field potential; LFP) and outside (EEG, MEG) cortex. For a review of this biophysical modeling approach, see Einevoll et al., Nature Reviews Neuroscience, 2013. In COBRA this modeling work will be compared with corresponding in-house experimental recordings from mouse visual cortex done in the laboratory of Marianne Fyhn at Department of Biosciences at UiO. The project thus also involves the development of a network model for mouse visual cortex.

The candidate will work in the cross-disciplinary environment CINPLA (cinpla.org), a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources.

Requirements:

Applicants must hold a master's degree in physics and have a PhD in either computational neuroscience or theoretical physics with a significant computational component. The candidate must have demonstrated strong skills in developing codes for scientific computing. Previous experience in neuroscience is considered advantageous, but not required.

For more information, including on how to apply, see:

https://www.jobbnorge.no/en/available-jobs/job/135223/postdoctoral-research-fellowship-in-computational-neuroscience-brain-physics

Deadline for application: April 2nd 2017

For questions,  please contact professor Gaute T. Einevoll, gaute.einevoll at fys.uio.no.

**********************************************
Gaute T. Einevoll
Faculty of Science and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway;
Department of Physics, University of Oslo, Oslo, Norway
Ph. +47-64965433, Mobile: +47-95124536
email: Gaute.Einevoll at nmbu.no, web: compneuro.nmbu.no, cinpla.org

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From zoe at kourtzi.com  Tue Mar  7 17:21:11 2017
From: zoe at kourtzi.com (Zoe Kourtzi)
Date: Tue, 7 Mar 2017 22:21:11 +0000
Subject: Connectionists: Postdocs in Cognitive and Computational Neuroscience
Message-ID: <C595964F-22D8-4C5D-BCAC-B8A818110F33@kourtzi.com>

Two Post-doctoral positions are available to work at the Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk).

Research in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviors. We address this challenge using an interdisciplinary approach that combines behavioral paradigms, computational modeling and multimodal brain imaging (MRI, EEG, MEG, TMS). The successful applicants will join a team working at the interface between neuroscience, computer science, engineering and clinical applications.

 The first position will focus on behavioral and brain imaging studies that will combine ultra high-field (7T) imaging and MEG to investigate the neural mechanisms that mediate learning and brain plasticity. Further interventional approaches (TMS, neuropharmacology) will be employed to test brain connectivity and circuits that support flexible behavior.

The second position will focus on advanced computational modeling of behavioral and multimodal brain imaging data including convolutional networks, and machine learning approaches. The goal of this work is to model the healthy brain and develop applications for earlier diagnosis and intervention in cases of disease and dysfunction.

Applicants should have or be close to obtaining a PhD, and have a strong academic track record, in a relevant area (e.g., Neuroscience, Psychology, Mathematics, Engineering, Computer Science, Physics). Programming skills are essential and experience with computational modeling and/or brain imaging preferable.

Closing date for applications is March 29th, 2017

Please apply online: http://www.jobs.cam.ac.uk/job/12792/

Informal enquiries should be directed to Prof. Zoe Kourtzi (zk240 at cam.ac.uk)



Zoe Kourtzi, PhD
Professor of Experimental Psychology
Department of Psychology
University of Cambridge
Downing Street
Cambridge
CB2 3EB

emal: zk240 at cam.ac.uk
tel: 0044 1223 766558


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From marcus.hutter at gmx.net  Wed Mar  8 03:35:55 2017
From: marcus.hutter at gmx.net (Marcus Hutter)
Date: Wed, 8 Mar 2017 19:35:55 +1100
Subject: Connectionists: Call for papers: 10th Conference on Artificial
 General Intelligence: AGI-17
Message-ID: <58BFC26B.1060804@gmx.net>

It is our tremendous pleasure to invite you to participate in the 10th 
Annual Conference on Artificial General Intelligence, AGI-17,

http://agi-conf.org/2017

which will be held in Melbourne, Australia (August 15-18, 2017), 
immediately preceding the IJCAI-17 conference.

This is an unprecedentedly exciting time to be working in the AGI field. 
Today, in 2017, the quest to create AI systems with general intelligence 
at the human level and beyond is taken more seriously by a broader 
community than ever before.  There has been no better time in history to 
gather together with other AGI researchers and learn and discuss and 
share together, regarding how best to take the next steps toward 
advanced artificial general intelligence.

And if you?ve been waiting for an excuse to visit amazing Australia, 
this is it!

The paper submission deadline will be April 25; please see

http://agi-conf.org/2017/call-for-papers/

for further relevant dates.

Peter Cheeseman is confirmed as keynote speakers.
Additional keynote speakers, workshops and tutorials will be determined 
during the coming weeks.

We are also seeking proposals for workshops, tutorials and demos.

We look forward to seeing you in Melbourne!

Yours,

AGI-17 Conference Chair:
? Ben Goertzel, OpenCog Foundation

Program Committee Chairs
? Alexey Potapov, St. Petersburg University
? Tom Everitt, Australian National University

Organizing Committee
? Adam Ford, OpenCog Foundation (local co-chair)
? Kevin Korb, Monash University (local co-chair)
? Matt Ikle?, Adams State University

AGI Conference Series Chairs:
? Ben Goertzel, OpenCog Foundation
? Marcus Hutter, Australian National University

From nicosia at dmi.unict.it  Wed Mar  8 05:20:41 2017
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Wed, 8 Mar 2017 11:20:41 +0100
Subject: Connectionists: Submit an Abstract for SSBSS 2017 Call by March 31
Message-ID: <435DE571-C9DF-4D1C-B50D-1D96C36EAB12@dmi.unict.it>

4th INT. SYNTHETIC and SYSTEMS BIOLOGY SUMMER SCHOOL & WORKSHOP
         University of Cambridge, UK, July 17 to 21, 2017
		     http://www.taosciences.it/ssbss/
                           ssbss.school at gmail.com
 
Call for Abstracts Deadline: March 31, 2017
 
Submission instructions here: http://www.taosciences.it/ssbss/#application-form

Submit an abstract today for the Synthetic and Systems Biology Summer School & Workshop (SSBSS 2017):

https://easychair.org/conferences/?conf=ssbss2017

The Synthetic and Systems Biology Summer School  is the leading Summer School for sharing the state-of-the-art developments and achievements made in the fields of synthetic and systems biology. 

The School and Workshop will take place July 17-21 at the Robinson College, University of Cambridge, England, UK. 
The  School and the Workshop is chaired by Massimo Gulisano and Giuseppe Nicosia, University of Catania - Italy, and Steve Oliver, University of Cambridge, England, UK. 
Submissions not accepted for talks will also be considered in the poster sessions.
 
SSBSS 2017 will focus on advances in the science and technology emerging from the fields of synthetic biology, systems biology, genome synthesis and genetic engineering. 
The School and the Workshop will highlight new tool development, as well as the application of these tools to diverse problems in biotechnology, computational medicine, molecular biology including therapeutics, industrial chemicals and biofuels, natural products, and agriculture.
 
If you are engaged in above cited topics that you believe can impact the state of the science and technology you must consider submitting.

GOAL
Given the rapidity with which this field moves, it is challenging for both newcomers and experts alike to stay updated with all of the latest advances. 
The goal of this summer school and workshop is to bring together scientists from academia and industry with diverse but relevant expertise in a setting 
conducive to discussion of new results and potential collaborative efforts. 
Invited talks will cover a wide range of topics ranging from fundamental basic science through to applications. 
Attendees of this workshop will have the opportunity to hear about the latest findings in this fast-paced field and to establish collaborations with scientists who have complementary expertise.

TOPICS
Sessions integrate the recent achievements made in the fields of synthetic biology, systems biology, biochemical engineering, synthetic enzyme, evolutionary engineering, 
integrated omics, tools and methods, and emerging techniques, healthcare, biofuels, chemicals and materials, biologics, microbial and mammalian systems, and other disciplines and applications.
 
Submissions should be related to the following areas of synthetic biology, systems biology, genome and genetic engineering:
 
Applications of Synthetic & Systems Biology
Biological Design Automation
Computational/Mathematical Modeling and Design 
Computer Aided Design 
Directed Evolution 
Designing and Writing Genomes
DNA Synthesis, Assembly, and Sequencing  
High Throughput Design Space Exploration 
Industrial Applications of Synthetic & Systems Biology 
Mammalian Synthetic Biology	
Metabolic Engineering 
Microbial Synthetic Biology / Microbiome Engineering 
Molecular Programming 
Omics Science and Synthetic & Systems Biology 
Pedagogical/Educational Tools 
Plant Synthetic Biology 
Protein Engineering 
Synthetic & Systems Biology for Cell Culture and Medical Applications
Synthetic & Systems Biology of Industrial Microorganisms

CONFIRMED KEYNOTE SPEAKERS
* Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy
* Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK
* Carole Goble, University of Manchester, UK
* Jim Haseloff, University of Cambridge, UK
* Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA
* Edda Klipp, Humboldt University, Germany
* Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK
* Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK
* Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
* Eriko Takano, Manchester Synthetic Biology Research Centre, University of Manchester, UK
* Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK

Industrial Panel 
* Jonathan Chesnut, Thermo Fisher Scientific Inc., USA

Other speakers will be announced soon.

COMMITTEE
Yaakov (Kobi) Benenson,  ETH Zurich, Basel, Switzerland
Leonidas Bleris,  The University of Texas at Dallas, USA
Domitilla Del Vecchio,  MIT, USA
Diego Di Bernardo, Telethon Institute  & University of Napoli "Federico II", Italy
Barbara Di Camillo, University of Padova, Italy
Barbara Di Ventura, BioQuant/DKFZ, Heidelberg, Germany
Simone Furini, University of Siena, Italy
Emanuele Domenico Giordano, University of Bologna, Italy
J. Gootenberg,  Harvard Medical School, Harvard University, USA
Markus Herrgard, Technical University of Denmark, Denmark
Paolo Magni, University of Pavia, Italy
Vincenzo Manca, University of Verona, Italy
Giancarlo Mauri, University of Milano Bicocca and SYSBIO - Center of Systems Biology, Italy
Giuseppe Narzisi, New York Genome Center, USA
Danilo Porro, University of Milano Bicocca, Italy
Francesco Ricci, University of Rome "Tor Vergata", Italy
Gianna Maria Toffolo, University of Padova, Italy
Renato Umeton, Dana-Farber Cancer Institute, USA
Luca Zammataro, Yale University, USA

SSBSS 2017 solicits talks, posters and tool presentations on 
synthetic biology, systems biology, metabolic engineering, computational biology and
genome engineering. The event brings together biologists, physicians, 
computer scientists, mathematicians, engineers, and physicists interested
in a synthetic and/or system-level understanding of biological processes.


Contributions should be submitted to one of the following categories:
I) Talks,
II) Posters,
III) Tool presentations.

Hosted by University of Cambridge

For more information about the SSBSS 2017 visit us here: http://www.taosciences.it/ssbss/






From malin.sandstrom at incf.org  Wed Mar  8 03:15:14 2017
From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=)
Date: Wed, 8 Mar 2017 09:15:14 +0100
Subject: Connectionists: INCF Nodes Workshop in Oslo,
 May 29-30: 1 week left to early registration deadline
Message-ID: <CAOAt7bbGmiTXK=7munrog32oW-_phCwQby+6qcN6KjMVByrqAQ@mail.gmail.com>

Dear all,

INCF is arranging its yearly Nodes Workshop in Oslo on May 29-30, in
collaboration with Prof Jan Bjaalie and the INCF Norwegian Node. The
workshop is open to the wider scientific community and will be attended by
representatives from INCF Nodes and governing bodies.
Session themes include *Tools for teaching & training
neuroinformatics* and *Brain
atlasing workflows and analytics*. Attendees are welcome to present a
poster and/or demo.

Registration is free, including lunch and coffee breaks. We have a limited
number of blocked hotel rooms, which will be released after the early
registration deadline *March 15* (late registration deadline is May 15).

More info & registration:
https://www.incf.org/collaborate/nodes-workshops/incf-nodes-workshop-in-may-2017

Best regards,
Malin Sandstr?m

-- 
Malin Sandstr?m, PhD
Community Engagement Officer
malin.sandstrom at incf.org

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels v?g 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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From florian at coneural.org  Wed Mar  8 07:44:46 2017
From: florian at coneural.org (=?UTF-8?Q?R=c4=83zvan_Florian?=)
Date: Wed, 8 Mar 2017 14:44:46 +0200
Subject: Connectionists: Postdoctoral research associate in machine learning
 (curiosity-based learning, probabilistic theories of deep learning)
Message-ID: <47cc001b-aa52-ecc9-2d9a-f5b60afe6474@coneural.org>

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From graduateprograms at bccn-berlin.de  Wed Mar  8 09:00:23 2017
From: graduateprograms at bccn-berlin.de (Robert Martin)
Date: Wed, 8 Mar 2017 15:00:23 +0100
Subject: Connectionists: *Graduate Programs in Computational Neuroscience*
 in Berlin; MSc and PhD; deadline March 15, 2017
Message-ID: <e40098fe-3902-2bea-ca92-72bada1e2ae7@bccn-berlin.de>


[Apologies for cross-posting]

*Doctoral* and *Master Program* "Computational Neuroscience"
at the Bernstein Center for Computational Neuroscience Berlin
in Berlin, Germany

Application deadline: *March 15, 2017*
Begin of courses: Sept/Oct 2017
Internet: www.computational-neuroscience-berlin.de



_Doctoral Program_

The Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin, 
https://www.bccn-berlin.de/) and the Research Training Group "Sensory 
Computation in Neural Systems" (GRK 1589/2, 
https://www.eecs.tu-berlin.de/grk_15891/) invite applications for their 
PhD program.

The BCCN Berlin is a leading research center dedicated to the 
theoretical study of neural processing and the *scientific program* of 
the research training group combines techniques and concepts from 
machine learning, computational neuroscience, and systems neurobiology 
in order to specifically address sensory computation. Doctoral 
candidates will work on interdisciplinary projects investigating the 
mechanisms of neural computation, address the processes underlying 
perception on different scales and different levels of abstraction, and 
develop new theories of computation hand in hand with well-controlled 
experiments in order to put functional hypotheses to the test.

The training group offers structured supervision complemented by a 
teaching and training program. Each student will be supervised by two 
investigators with complementary expertise and will be associated with 
the Bernstein Center for Computational Neuroscience Berlin.

The BCCN and the Training Group comprise a wide range of PIs to 
supervise PhDs. See
https://www.bccn-berlin.de/People/Principal+Investigators/
and
http://www.eecs.tu-berlin.de/grk_15891/menue/principal_investigators/
for a list of members.

Labs currently looking to fill positions include (but are not restricted 
to)

  - Elisa Filevich, http://metamotorlab.filevich.com/
  - Achim Kramer, www.achim-kramer-lab.de,
    on molecular analyses of circadian clocks
  - Susanne Schreiber, http://www.neuron-science.de/

Candidates are expected to hold a Masters degree (or equivalent) in a 
relevant subject (e.g., neuroscience, cognitive science, computer 
science, physics, mathematics, etc.) and have the required advanced 
mathematical background.



_Master's Program_

The tuition-free Master program in Computational Neuroscience offers *15 
places* per year, has a duration of 2 years and is fully taught in English.

The *curriculum* is subdivided into ten modules, whose content includes 
theoretical neuroscience, programming, machine learning, cognitive 
neuroscience, acquisition, modelling, and computational analysis of 
neural data, with a strong focus on a complementary theoretical and 
experimental training. Three lab rotations and a Master's thesis are 
accomplished in the second year. The aim of the program is to provide 
the students with an interdisciplinary education and an early contact to 
the neurocomputational research environment.

*Requirements* BSc or equivalent degree in a relevant subject (typically 
in the natural sciences, in an engineering discipline, in cognitive 
science, or in mathematics), certificate of English proficiency, proof 
of sufficient mathematical knowledge (at least 24 ECTS credit points).



~~~

_For more information_ ...

... come and visit us at the BCCN Berlin:
https://www.bccn-berlin.de/Home/Contact/How_to_reach/

... or browse:
www.computational-neuroscience-berlin.de

... or e-mail:
graduateprograms at bccn-berlin.de .


Best regards,

Robert Martin


-- 

Robert Martin, PhD
Teaching Coordinator

Bernstein Center for Computational Neuroscience
Humboldt-Universitaet zu Berlin
Philippstr. 13 House 6; 10115 Berlin; Germany
Phone/Fax +49 (0)30 2093 6773/6771
http://www.computational-neuroscience-berlin.de

GRK 1589/1, Sensory Computation in Neural Systems
Technische Universitaet Berlin
Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin
Phone/Fax +49 (0)30 314 72006/73121
http://www.eecs.tu-berlin.de/grk_15891/

From gangluo at cs.wisc.edu  Wed Mar  8 10:31:01 2017
From: gangluo at cs.wisc.edu (Gang Luo)
Date: Wed, 8 Mar 2017 07:31:01 -0800
Subject: Connectionists: VLDB Workshop on Data Management and Analytics for
 Medicine and Healthcare (DMAH 2017)
In-Reply-To: <5abfd369-d365-f9d6-a2e6-93095646033a@cs.wisc.edu>
References: <5abfd369-d365-f9d6-a2e6-93095646033a@cs.wisc.edu>
Message-ID: <98fb5f8c-40cd-e157-e67b-b582971d3e57@cs.wisc.edu>

                                                 -- Call for Papers --

    The Third International Workshop on Data Management and Analytics
                     for Medicine and Healthcare (DMAH 2017)
                    In Conjunction with VLDB 2017
                  Munich, Germany, September 1, 2017
                         http://dmah.info/


Healthcare enterprises are producing large amounts of data through
electronic
medical records, medical imaging, health insurance claims, surveillance,
and
others. Such data have high potential to transform current healthcare to
improve healthcare quality and prevent diseases, and advance biomedical
research. Medical Informatics is an interdisciplinary field that studies
and pursues the effective use of medical data, information, and knowledge
for scientific inquiry, problem solving and decision making, driven by
efforts
to improve human health and well being.

The goal of the workshop is to bring people in the field cross-cutting
information management and medical informatics to discuss innovative data
management and analytics technologies highlighting end-to-end applications,
systems, and methods to address problems in healthcare, public health, and
everyday wellness, with clinical, physiological, imaging, behavioral,
environmental, and omic- data, and data from social media and the Web. It
will provide a unique opportunity for interaction between information
management researchers and biomedical researchers for the interdisciplinary
field.


This workshop welcomes papers that address fundamental research issues
for complex medical data environments, data management and analytical
methods, systems and applications.

Topics of interest include, but not limited to:

Big data integration for medical data;
Data cleansing for noisy and missing data;
Medical data and knowledge management and decision support;
Data management technologies for medical data;
Semantic Web and ontologies for clinical and biomedical applications;
Medical natural language processing and text mining;
Data mining and knowledge discovery from medical data;
Algorithms to speed up the analysis of big medical data;
Innovative visualization techniques for query and analysis of medical data;
Medical image mining;
Medical information retrieval;
Data privacy and security for healthcare data;
Hospital readmission analytics;
Medical fraud detection;
Social media and Web data analytics for public health;
Data analytics for pervasive computing for medical care.

DMAH 2017 accept two types of papers:
1) Regular research papers reporting original research results or
significant
    case studies (18 pages).
2) Extended abstracts presenting novel research directions or challenging
    problems (4 pages).


Important Dates:

Individual Workshop Papers: May 7, 2017
Notification of Acceptance: June 18, 2017
Camera Ready: July 2, 2017
Workshop date: September 1, 2017


All submitted papers will be rigorously reviewed. All accepted papers will
be made available as a workshop proceedings to be published by Springer
LNCS.

Workshop Chairs:
    Fusheng Wang, Stony Brook University, USA
    Gang Luo, University of Washington, USA
    Edmon Begoli, Oak Ridge National Laboratory, USA

Program Committee:

Jes?s B. Alonso-Hern?ndez, Universidad de Las Palmas de Gran Canaria
Thomas Brettin, Argonne National Laboratory
J. Blair Christian, Oak Ridge National Laboratory
Kerstin Denecke, Bern Univ. of Applied Sciences
Dejing Dou, University of Oregon
Alevtina Dubovitskaya, EPFL
Peter Elkin, University at Buffalo
Vijay Gadapally, Massachusetts Institute of Technology
Zhe He, Florida State University
Guoqian Jiang, Mayo Clinic
Jun Kong, Emory University
Tahsin Kurc, Stony Brook University
Ulf Leser, Humboldt University of Berlin
Yanhui Liang, Stony Brook University
Fernando Martin-Sanchez, Weill Cornell Medicine
Casey Overby, John Hopkins University
Wolfgang Mueller, Heidelberg Institute for Theoretical Studies
Hua Xu, UT Health Science Center


From stephan.busemann at dfki.de  Wed Mar  8 14:26:46 2017
From: stephan.busemann at dfki.de (Stephan Busemann)
Date: Wed, 8 Mar 2017 20:26:46 +0100
Subject: Connectionists: Job Ad - Researcher in Machine Learning and Natural
 Language Processing
Message-ID: <269535bc-23cd-1d5e-2c38-568d792f382b@dfki.de>

(Sorry for crossposting)

Researcher in Machine Learning and Natural Language Processing, DFKI,
German Research Center for Artificial Intelligence, Germany

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand
its expertise in Machine Learning with a focus on Deep Learning,
Machine Translation and possibly other areas of NLP. Depending on
experience, the position is available at the
Junior/Researcher/Senior/Principal Researcher level.

Key research responsibilities include:
- machine and deep learning for natural language processing/machine
   translation
- software development and integration
- publication in top-tier conferences and journals

General responsibilities include:
- engagement with industry partners and contract research
- identification of funding opportunities and engagement
   in proposal writing
- contribution to teaching and supervision in accordance with
   University and DFKI rules and regulations
- administrative work associated with programmes of research

Requirements:
- MSc/PhD in computer science, machine learning, natural language
   processing, computational linguistics or similar
- Strong background and track record in machine learning, neural nets
   and deep learning
- Strong background and track record in NLP and MT - Excellent
   programming skills
- Excellent problem solving skills, independent and creative thinking
- Excellent team working and communication skills
- Excellent command of written and oral English
- Command of German and other  languages not a requirement but
   helpful

The successful applicant will work in the DFKI MLT lab led by Prof.
Josef van Genabith (Scientific Director MLT, DFKI, and Chair of
Translation-Oriented Language Technologies, Saarland University).

Working environment:
DFKI is one of the largest AI research institutes worldwide, with
several sites in Germany, covering basic research and applications.
DFKI is a not-for-profit company with more than 500 researchers from
60+ countries across the globe. DFKI is based on a shareholder model
including globally operating companies such as Intel, Google,
Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several
SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international,
national and industry funded research projects in all areas of
Language Technologies (including machine translation, question
answering, information extraction, human-robot communication, speech
and the multi-lingual web). The MLT lab currently leads the H2020
European Research project QT21 (http://www.qt21.eu/ ) on MT, the EU
CEF funded ELRC project (http://lr-coordination.eu/ ) and the EU
funded TRADR project on human-robot collaboration in disaster
scenarios (http://www.tradr-project.eu/ ).

The MLT lab is part of the DFKI site at the Saarland University
campus in Saarbr?cken, Germany. Saarland University has exceptionally
strong Computer Science and Computational Linguistics departments,
two Max Plank Institutes in Computer Science, an Excellence Cluster
in Multimodal Computing and Interaction
(http://www.mmci.uni-saarland.de/en/start) and several International
Doctoral and Master programmes in Computer Science and Computational
Linguistics. DFKI staff regularly engage in teaching and supervision
at Saarland University.

Geographical environment:
Saarbr?cken (http://www.saarbruecken.de/en) is the capital of
Saarland with approximately 190,000 inhabitants. It is located right
in the heart of Europe and is the cultural center of this border
region of Germany, France and Luxembourg. Some of the closest larger
cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can
be reached by train in just under 2 hours. Living costs are modest in
comparison with other large cities in Germany and elsewhere in
Europe.

Starting date, duration, salary:
Preferred starting date is May/June 2017. The position is available
until June 30, 2020, with opportunities for extension depending on
performance and future funding. Compensation is competitive and
reflects individual competence, seniority and special skills.

Application:
Applications are required to include a short cover letter, a CV, list
of publications, a brief summary of research interests, and contact
information for three references. Please send your electronic
application (preferably in PDF format) to mlt-sek at dfki.de referring
to job opening no. "22/17-JvG". Deadline for applications is March
31st, 2017. The position remains open until filled. Please contact
josef.van_genabith at dfki.de for informal inquiries.

-- 
Prof.Dr. Stephan Busemann, Principal Researcher
Associate Head of Language Technology Department
DFKI GmbH, Stuhlsatzenhausweg 3, D-66123 Saarbruecken
phone: (+49 681) 85775-5286, fax: (+49 681) 85775-5338
http://www.dfki.de/~busemann

-------------------------------------------------------------
Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany

Geschaeftsfuehrung:
Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster (Vorsitzender)
Dr. Walter Olthoff

Vorsitzender des Aufsichtsrats:
Prof. Dr. h.c. Hans A. Aukes

Amtsgericht Kaiserslautern, HRB 2313
-------------------------------------------------------------


From sophon at sugano.mech.waseda.ac.jp  Thu Mar  9 01:22:55 2017
From: sophon at sugano.mech.waseda.ac.jp (Sophon SOMLOR)
Date: Thu, 9 Mar 2017 15:22:55 +0900
Subject: Connectionists: =?utf-8?q?=5Bmeetings=5D_Call_for_Contributions?=
	=?utf-8?q?=3A_ICRA=2717_Full-Day_Workshop_on_The_Robotic_Sense_of_?=
	=?utf-8?q?Touch=3A_From_Sensing_to_Understanding=E2=80=9D?=
Message-ID: <CALv5Vg8T7Vc4f9cTcrB1pA8_h06_-37YLOmUo27puXaHQPqDcg@mail.gmail.com>

Dear Colleagues,


We are calling for contributions on our ICRA 2017 workshop on "The Robotic
Sense of Touch: From Sensing to Understanding"

https://roboticsenseoftouchws.wordpress.com



This workshop aims to bring together experts in the fields of tactile
sensor design, tactile data analysis, machine learning and cognitive
modeling to share their knowledge, through a mix of oral presentations,
round-table discussions, poster sessions and live demonstrations.



***Call for contributions***

We are soliciting the submission of extended abstracts **(1-3 pages PDF,
IEEE template, optional videos)* to *rsot.icra2017 at gmail.com*
<rsot.icra2017 at gmail.com>*. **The submission deadline is 20 April 2017**.
Furthermore, we particularly call for live demonstrations to be presented
on the workshop day. We encourage researchers as well as companies (both
hardware and software companies) to contribute to the workshop.



Accepted submissions will be presented during the ?Demonstrations and
poster session? of the workshop. Selected submissions will be given time
for oral presentations (15 minutes including Q&A). Please indicate in your
email if you want to present as a poster, oral, and/or live demonstration.



****Important Dates****:

Paper submission deadline: 20 April 2017

Notification of acceptance: 25 April 2017

Workshop day: 29 May 2017



Abstract:

This workshop (https://roboticsenseoftouchws.wordpress.com) focuses on the
development of novel tactile sensors (i.e. the bodyware) and how they can
contribute to robot intelligence (i.e. the mindware). Robots need touch to
interact with the surroundings (humans and/or objects) safely and
effectively, to learn about the outside world and to develop
self-awareness. To achieve these goals, the artificial skin of the next
generation should measure temperature, vibration, proximity and the
complete force vectors on multiple contact points; also, it should be both
soft and robust to facilitate long-term interactions. Still, major
challenges are posed by the need to analyze and interpret massive amounts
of data in a fast and accurate way, and to combine such sensing information
with other cognitive and perceptual processes to achieve real
understanding. While advanced computational techniques (e.g. deep learning,
Bayesian inference) can critically improve data representations,
bio-inspired strategies for multimodal integration, prediction and
reasoning seem to be necessary as well to revolutionize the robotic sense
of touch. Therefore, the goal of this workshop is to discuss if and how the
recent advancements in tactile technology and data analysis have been
accompanied by an increased understanding of the ways in which tactile
perception can support robot autonomy and cognition.



Content:

Part of human intelligence comes from using the sense of touch to explore
the own-body and learn about the world. Similarly, a humanoid robot can use
tactile sensing to learn about itself and its surroundings, and to improve
its ability in interacting with humans and objects. Indeed, there has been
a remarkable progress in tactile sensors for robotics. Several robotic
platforms and hands are equipped with sensors which allow measuring
pressure, proximity and temperature; also, novel technologies (soft, small,
distributed, stretchable sensors) can be used to cover the entire body of a
humanoid. These sensors can allow robots to actively explore objects and
extract information which is hidden or difficult to extract from vision,
like texture, material and weight; however, this requires the development
of appropriate learning strategies which incorporate explorative behaviors,
signal processing and machine learning.



Topics of interest include, but are not limited to:

- Multimodal distributed skin sensors;

- Modular skin sensors;

- Force sensing;

- Soft/flexible/stretchable sensors;

- Large-scale data processing of tactile information;

- Use of tactile data for interaction control, tactile servoing, tactile
feature recognition, object handling;

- Integration of touch with other sensing modalities (e.g. vision, inertial
sensing);

- Whole-body multiple contact behaviors of humanoid robots;

- Predictive models for touch perception;

- Slip prediction, detection and control;

- Tactile sensing for self-contact, self-perception and self-calibration in
humanoid robots;

- Haptic representations of objects and their affordances.



Organizers:

Sophon Somlor (contact person), Waseda University

Alexander Schmitz, Waseda University

Lorenzo Jamone, The Queen Mary University of London

Lorenzo Natale, Istituto Italiano di Tecnologia

Gordon Cheng, Technical University of Munich



***URL***

https://roboticsenseoftouchws.wordpress.com/

Best regards,
Sophon SOMLOR

Research Associate
Top Global University (TGU), Frontier of Embodiment Informatics: ICT and
Robotics
Member of Sugano Shigeki Laboratory
Department of Modern Mechanical Engineering, School of Creative Science and
Engineering
Waseda University

???????? ???????? ????????
???????
??????????????? (SGU)?ICT?????????????
???? ????
================================================
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From education at humanbrainproject.eu  Thu Mar  9 05:03:59 2017
From: education at humanbrainproject.eu (HBP Education)
Date: Thu, 9 Mar 2017 11:03:59 +0100
Subject: Connectionists: Event Announcement: 4th HBP School - Future
	Computing: Brain Science and Artificial Intelligence
Message-ID: <8B6A3A91-0745-4225-B306-815F9C33EF41@humanbrainproject.eu>

Dear all, 

From 12-18 June 2017, the Education Programme Office of the Human Brain Project will organise the 4th HBP School - Future Computing in Obergurgl, Austria under the title ?Brain Science and Artificial Intelligence?.

Please find some general information about the summer school below and in the attached PDF files.

Best regards, 

The Education Programme Office










Medical University Innsbruck (MUI)   
Center of Psychiatry and Psychotherapy
Experimental Psychiatry Unit
M?llerstra?e 59, 6020 Innsbruck, Austria
Phone Office: +43 512 9003 71245
Email: education at humanbrainproject.eu <mailto:education at humanbrainproject.eu>

4th?HBP School Future Computing ? Brain Science and Artificial Intelligence <>
Obergurgl, Austria, 12-18 June 2017

https://education.humanbrainproject.eu/web/fourth-school <https://education.humanbrainproject.eu/web/fourth-school>
 
Description

 
The 4th HBP School offers a comprehensive programme covering all aspects of software, hardware, simulation, databasing, robotics, machine learning and theory relevant to the HBP research programme.

Lectures, hands-on tutorials and practical exercises on software tools and neuromorphic hardware systems provide a high level view of the project, computing and ethical aspects of artificial neural systems.

The school offers ample opportunities for scientific exchange between students and faculty during dedicated discussion sessions, tutorials and various social events.

 

Programme structure

Lectures

Discussion sessions

Hands-on tutorials

Student lightning talks

Poster presentations

Social events 

 
Application for this school is open to the whole student community and early post-docs. Up to 40 applicants will be selected based on an academic decision by the Scientific Director. Participants are required to submit an abstract on their current research with their application. Applications from young female investigators are highly encouraged.

 

Scientific Director

Karlheinz Meier | UHEI

 
Organised by

HBP Education Programme Office

 
Upcoming deadlines

Application deadline: 22 March 2017

 
There is no registration fee. Accommodation will be provided.

Seven travel grants will be available upon request (European students only).

 
 

Contact

HBP Education Programme Office

Medical University Innsbruck

M?llerstra?e 59, 6020 Innsbruck, Austria

Phone: +43 512 9003 71240

E-mail: education at humanbrainproject.eu <mailto:education at humanbrainproject.eu>
Website: https://education.humanbrainproject.eu/de/web/fourth-school <https://education.humanbrainproject.eu/de/web/fourth-school>
 
Lectures

Gordon Cheng | TUM

Giacomo Indiveri | ETHZ

Karlheinz Meier | UHEI

Dan Nilsson | LU

More TBC

 
 
The venue

The 4th HBP School will take place at the Obergurgl University Center, which is located right next to the ski slopes and hiking trails and only five minutes? walk from the village centre. It was founded in 1951 by the Obergurgl federal Sports Centre in cooperation with the Alpine Research Centre of the University of Innsbruck. Over the past decades, numerous renowned mountain guides, ski instructors, researchers and scientists gathered here to collaborate on major contributions to sports and science in the Alps. 

 
Obergurgl is located in the ?tztal Alps in Tyrol, Austria, and part of the municipality of S?lden. The village is located 1,907 m (6,257 ft.) above sea level and is primarily a tourist resort with only about 400 permanent residents. Due to its remote location, it is very popular not only for tourists but also among scientists and researchers.

 
Keywords

Computing, Brain Science, Artificial Intelligence, Robotics, Machine Learning, Neuromorphic Computing, Databases, High Performance Computing
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From malin.sandstrom at incf.org  Thu Mar  9 04:27:02 2017
From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=)
Date: Thu, 9 Mar 2017 10:27:02 +0100
Subject: Connectionists: One week left to apply for INCF seed funding
Message-ID: <CAOAt7bbG35e-xnN810PRGqD3kAM_ddhxApEHP8Y3b1twnfY-Ew@mail.gmail.com>

Dear all,

INCF* invites applications for seed funding of collaborative brain research
projects. The deadline for submission is no later than *March 16, 2017*.
Projects and travels must be completed within 2017, and the project leader
must be based in one of the six *INCF governing member* countries
(Australia, Canada, Japan, Malaysia, Norway, Sweden).

Seed funding grants should facilitate community work in collaborative brain
research, promote the use of neuroinformatics solutions, and accelerate
advances in understanding the brain and treating its illnesses, with a
strong potential for community support and uptake. There are three types of
funding available: project funding, workshop funding and travel grants.

*Travel grants* will be used to support collaborative work. One of the
collaborators (traveller or host) must be based in one of the six INCF
governing member countries. The proposed travel should support one or more
of the following:

   - exchange of information relevant to neuroinformatics between parties
   based in different countries
   - progression of work relevant to neuroinformatics requiring the
   participant to travel to another location, usually another country, for
   collaboration
   - participation in training or education as a lecturer or participant
   (but not general attendance at scientific meetings)

*Workshop funding* supports organisation and hosting of scientific meetings
and workgroup meetings. The leader of a funded proposal must be based in
one of the six INCF governing member countries.

*Project funding* supports projects that will deliver tools, data,
research, education, training or community development, for example:

   - driving forward delivery of a product that addresses a neuroscience use
   case
   - enable a project to develop to the stage of attracting larger-scale
   external funding, for example initial consortium meetings or pilot data
   collection
   - development of training or educational content

The funding could facilitate, for example: initial consortia formation for
the creation of a competitive funding proposal; work to demonstrate a proof
of concept; tool development or integration; or development of education
and training content. The leader of a funded proposal must be based in one
of the six INCF governing member countries.

*Requirements*

All participants of a funded proposal must commit to sharing all reports,
data, code, and training/education materials from the final project,
subject to any limitations imposed by any subsequent funder. Projects,
workshops and travels must be completed during 2017.

More information and FAQ: https://www.incf.org/resources/funding-support

Abstracts from 2016 funded grants are available on our webpage:
 https://www.incf.org/resources/funding-support/funded-grants-in-2016
<https://www.incf.org/resources/funding-support/funded-grants-in-2016>

*INCF is an international organization launched in 2005, following a
proposal from the Global ScienceForum of the OECD to establish
international coordination and collaborative informatics infrastructure for
neuroscience. The INCF international network currently spans North America,
Europe, Australia and Asia. INCF fosters the global digital
interconnectivity of data, methods and people engaged in brain research to
catalyze insights into brain function in health and disease.


-- 
Malin Sandstr?m, PhD
Community Engagement Officer
malin.sandstrom at incf.org

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels v?g 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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From mcallester at ttic.edu  Thu Mar  9 11:49:23 2017
From: mcallester at ttic.edu (David McAllester)
Date: Thu, 9 Mar 2017 10:49:23 -0600
Subject: Connectionists: Workshop on Symbolic-Neural Learning (SNL) in
 Nagoya, submission deadline March 22.
Message-ID: <CAJGUbyTR741FF1stiE1E2VWK3jeuFh+6BbfDMQDiEB6A6HGj6g@mail.gmail.com>

This is a reminder for the Workshop on Symbolic-Neural Learning (SNL)
<http://www.ttic.edu/SNL2017/> to be held July 7-8, 2017 in Nagoya Japan.
Submissions are open with deadline (extended to) March 22, 2017.

Symbolic-neural learning involves deep learning methods in combination with
symbolic structures. A "deep learning method" is taken to
?be any method for

?non-convex optimization of a large number of real-valued model parameters.
?
See the web site for more discussion.?


?K
eynote speakers
? will include?

Yoshua Bengio (invited) Universit? de Montr?al, Montr?al, Canada
William Cohen (invited) Carnegie Mellon University, Pittsburgh, USA
Masashi Sugiyama RIKEN and University of Tokyo, Tokyo, Japan
Jun'ichi Tsujii AI Center, AIST, Tokyo, Japan

Other details can be found at the web site.

David McAllester,  Yutaka Sasaki

Program co-chairs
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From gershman at fas.harvard.edu  Thu Mar  9 12:09:20 2017
From: gershman at fas.harvard.edu (Sam Gershman)
Date: Thu, 9 Mar 2017 12:09:20 -0500
Subject: Connectionists: postdoc in reinforcement learning and decision
	making at Harvard
Message-ID: <CAFJkT3BQEHZgi-ycioYXkAeZ5sKX=+Zk8OP0ybQaGFBmy33oaA@mail.gmail.com>

The Computational Cognitive Neuroscience Lab at Harvard University (PI: Sam
Gershman) is seeking a postdoctoral fellow to work in the area of
reinforcement learning and decision making. The start date is flexible. The
position is for three years.

Requirements for this position are:
(1) Experience with fMRI and human behavioral experiments.
(2) A strong technical background in Bayesian and reinforcement learning
models.

Interested applicants should e-mail gershman at fas.harvard.edu with a CV,
statement of interest (not to exceed 2 pages), and any relevant
publications.

For more information on the lab's research, please visit
http://gershmanlab.webfactional.com/

Harvard is an equal opportunity employer and all qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, national origin, disability status, protected veteran
status, or any other characteristic protected by law.
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From zoltan.szabo.list at gmail.com  Thu Mar  9 14:19:38 2017
From: zoltan.szabo.list at gmail.com (Zoltan Szabo)
Date: Thu, 9 Mar 2017 20:19:38 +0100
Subject: Connectionists: Data Science Summer School, Aug. 28 - Sept. 1
Message-ID: <fd500a6a-d413-a786-89cf-bb875355f349@gmail.com>

Dear All,

We are happy to announce the start of the Data Science Summer School 
(DS^3) at Ecole Polytechnique.

The primary focus of the event is to provide a series of courses and 
talks covering the latest advances in the field presented by leading 
experts of the area, with a special session on Data Science for Smart 
Grids, and several networking facilities.

The event is targeted for MSc2 and PhD students, postdocs, academics, 
members of public institutions, and professionals.

Web: http://www.ds3-datascience-polytechnique.fr/

Key Dates:
-Application deadline: Apr. 20, 2017.
-Notification of acceptance by May 7, 2017.
-Event: Monday, Aug. 28 - Friday, Sept. 1, 2017

Best,

DS^3 Organizers

From morgado.uma at gmail.com  Fri Mar 10 07:49:20 2017
From: morgado.uma at gmail.com (Morgado Dias)
Date: Fri, 10 Mar 2017 12:49:20 +0000
Subject: Connectionists: Last Call for Papers to IWOBI, IoTGC,
	and ES2DE (Funchal, Portugal)
Message-ID: <74D3D8F7-3F77-4438-ABE8-60CF8D436B50@gmail.com>


Dear colleague,

Due to the many requests received, the deadline for paper submission has been extended to March 19th. 
We also included a deadline for submission of short papers (March 26th) for ongoing work and we have more journals for publishing the best papers and we are expecting the final agreement with an ISI indexed journal in the Energy area.

Best regards,

Morgado Dias
General Chair

Call for Papers (Apologies for cross-posting)

5th International Work Conference on Bioinspired Intelligence (IWOBI 17)

http://iwobi.ulpgc.es/2017/ <http://engconf.uma.pt/es2de/>
IEEE International Conference in Energy and Sustainability in Small Developing Economies

http://engconf.uma.pt/es2de/ <http://engconf.uma.pt/es2de/>

IEEE International Conference in Internet of Things for the Global Community

http://engconf.uma.pt/iotgc/ <http://engconf.uma.pt/iotgc/>

Funchal, Portugal - July 10-13, 2017

Venue

Universidade da Madeira, Funchal, Portugal

Special Issues

Authors of the best papers will be invited to submit an extended version to highly reputed international journals, to be announced.

Proceedings

Proceedings will be published by IEEE on Xplore IEEE

Important Dates

Full Paper Submission: MARCH 19, 2017
Short Paper/On going Work Submission: March 26, 2017

Notifications: April 15, 2017

Final Paper Submission: May 01, 2017

Conference dates: July 10-13 2017



Morgado Dias
Universidade da Madeira
Assistant Professor in Electronics and Telecommunications
Automation and Instrumentation PhD Director 
 
morgado at uma.pt
Tel.: 291-705307





Researcher 
Polo Cient?fico e Tecnol?gico da Madeira 
9020-105 FUNCHAL 
Tel (351) 291 721 006
www.m-iti.org | admin at m-iti.org


July 2017 conferences:
IoTGC http://engconf.uma.pt/iotgc/
ES2DE http://engconf.uma.pt/es2de/
IWOBI http://iwobi.ulpgc.es/2017/

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From nsmattei at gmail.com  Fri Mar 10 10:47:32 2017
From: nsmattei at gmail.com (Nicholas Mattei)
Date: Fri, 10 Mar 2017 10:47:32 -0500
Subject: Connectionists: Deadline Extension -- Call for Submissions: ACM
 SIGAI Student Essay Contest on the Responsible Use of Artificial
 Intelligence (AI) Technologies!
Message-ID: <CAKa3QmBLWLqBV9fDQ=Gw_JL4ufNrTE3zJyO83uoTu0v9jkcwew@mail.gmail.com>

[Apologies for Multiple Postings -- please pass on to contacts who may have
interested students]

Deadline Extension -- We have extended the deadline to March 31st, 2017.
Please encourage all students, high school, undergrad, and grad, to
submit.  Winning entries will be published in the ACM SIGAI Matters
Newsletter!

Do you have an opinion on the responsible use of AI technologies?

Do you want to win one of several $500 cash prizes?

Do you want to talk one-on-one (via skype) to one of the following AI
researchers:

 * Murray Campbell (Senior Manager, IBM Thomas J. Watson Research Center)

 * Eric Horvitz (Managing Director, Microsoft Research)

 * Peter Norvig (Director of Research, Google)

 * Stuart Russell (Professor, University of California at Berkeley) or

 * Michael Wooldridge (Head of the CS Department, University of Oxford)?

Read on!

We are happy to announce the ACM SIGAI Student Essay Contest on the
Responsible Use of Artificial Intelligence (AI) Technologies.

An increasing number of AI technologies now affect our lives (or soon
will), from intelligent assistants to self-driving cars. As a result, AI
technologies are often in the news and a number of organizations (including
the U.S. government) are trying  to ensure that AI technologies are being
used for the maximum benefit of society. As with all potentially
transformative technologies (such as the automobile and the transistor),
there is some uncertainty about exactly how the future will look like and
how it should best be shaped to harness the power of AI technologies while
avoiding any drawbacks or misuses. ACM SIGAI is in a unique position to
shape the conversation around these issues.

ACM SIGAI is interested in obtaining input from students worldwide to help
shape this debate. We therefore invite all student members to enter an
essay in the ACM SIGAI Student Essay Contest, to be published in the ACM
SIGAI newsletter ?AI Matters,? answering the following questions while
providing supporting evidence:

What do you see as the 1-2 most pressing ethical, social or regulatory
issues with respect to AI technologies? What position or steps can
governments, industries or organizations (including ACM SIGAI) take to
address these issues or shape the discussions on them?

The ACM SIGAI Student Essay Contest is open to all ACM SIGAI student
members at the time of submission. (If you are a student but not an ACM
SIGAI member, you can join ACM SIGAI before submission for just USD 11,
even if you are not an ACM member.) The deadline for submissions is March
31, 2017.

The submission site for essays is
https://easychair.org/conferences/?conf=sigaiethics2017

Please find all details in the ACM SIGAI AI Matters blog
<https://sigai.acm.org/aimatters/blog/2016/12/04/essaycontest/> (https://
sigai.acm.org/aimatters/blog/2016/12/04/essaycontest/).

Please also help us out by distributing this email to students who might be
interested in participating.

-- 
Nicholas Mattei
Research Staff Member | Cognitive Computing
*IBM T.J. Watson Research Center*
1101 Kitchawan Road, Office 30-110, Yorktown Heights, NY 10598
E: n.mattei at ibm.com | T: +1 914 945 3305
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From shuaili.sli at gmail.com  Fri Mar 10 15:08:12 2017
From: shuaili.sli at gmail.com (Shuai Li)
Date: Fri, 10 Mar 2017 20:08:12 +0000
Subject: Connectionists: 2nd CFP: STRICT Deadline Mar 22, SMMA 2017@England
Message-ID: <CAENVYZPeirVSvmZJiSNZ+dup51e6YRj-ys7BDsW33zAhNLw9Bg@mail.gmail.com>

Dear All,

We are pleased to announce the availability of Call for Exceptional
Papers for Social Media Mining and Analysis (SMMA'17), and we
invite submissions of papers on all topics related to computer
science theories, algorithms, and applications, etc. Accepted
papers must contain novel results. Contributions can be either
theoretical or empirical. Results will be judged on the degree
to which they have been objectively established and/or their
potential for scientific and technological impact.

=================================================
The 3rd International Workshop on Social Media Mining and Analysis
(SMMA'17)
in Conjunction with the 10th IEEE International Conference on
Cyber, Physical and Social Computing (CPSCom 2017)?

               21-23 June 2017, Exeter, England, Great Britain

http://smma2017.weebly.com

Submission Deadline: March 22, 2017     Author Notification: April 22, 2017
Camera-Ready Due: May 15, 2017
=================================================

Introduction:
The emergence of social network led to the boost of user generated content
which consequently gave rise to fields such as data mining and web mining.
The social network also gave rise to the new phenomena called social media
which empowered the users towards citizen journalism where users can
choose to act as content providers instead of more content consumers.
The social networking websites such as Facebook, Twitter, LinkedIn, Flickr,
and Weibo etc, are a few examples of such empowerment. Furthermore,
these social media platforms provide new opportunities to explore the user
behaviour which could benefit for various applications related to economy,
marketing, education, business, medicine, etc. Social Media Mining is the
process of representing, analysing, and extracting actionable patterns
from large-scale social media data.

SMMA-2017 is the next edition of SMMA-2016 (Toulouse, France),
SMMA-2015 (Liverpool, UK) and aims to discuss the theories and
methodologies from different disciplines such as computer science,
data mining, machine learning, social network analysis, network science,
sociology, and statistics in order to provide conceptual insights on
mining social media data.

We invite researchers and practitioners namely from communities of machine
learning (or artificial intelligence), information retrieval, data mining,
reinforcement learning, big data, data science, deep learning, large-scale
database, smart robotics and social network analysis to share their ideas,
innovations, research achievements and solutions in fostering the
advancement of intelligent data analytics and management of social media
data. We solicit original, unpublished, and innovative research work on
applying
any intelligent technologies and methods to all aspects around the theme of
this workshop. The workshop is co-located with CPSCom-2017, the 10th IEEE
International Conference on Cyber, Physical and Social Computing.
Topics of interest include, but are not limited to:

+Fundamental theories of big data analysis and machine learning

+Statistical modelling of large computer networks

+Social media for citizen journalism

+Communities discovery and analysis in large-scale social networks

+Large-scale graph algorithms for social network analysis

+Reputation, trust, privacy and security in social networks

+Expert systems and decision-making for social media data

+Recommendation systems and marketing

+Methods for tie strength or link prediction

+Methods for extracting and understanding user and group behaviour

+Crowdsourcing and collective intelligence

+Human-computer interaction systems and applications

+Other related issues to various applications and case studies

General Chairs:
Shuai Li, University of Cambridge, UK
Fei Hao, Shaanxi Normal University, China
Yu Wu, Zhongnan University of Economics and Law, China

Program Chairs:
Geyong Min, University of Exeter, UK
Daqiang Zhang, Tongji University, China
Bowen Sun, Beijing Institute of Technology, China

Program Committee Members:
Qingcheng Zhang, St. Francis Xavier University, Canada
Zheng Pei, Xihua University, China
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

All papers need to be submitted electronically through Email:
fhao at snnu.edu.cn with PDF manuscript, Email subject:
"SMMA 2017 + paper title". The materials presented in the
papers should not be published or under submission elsewhere.
Each paper is limited to 6 pages including figures and references
using IEEE Computer Society Proceedings Manuscripts style
(two columns, single-spaced, 10 fonts). You can confirm the IEEE
Computer Society Proceedings Author Guidelines at the following web page:
https://www.ieee.org/conferences_events/conferences/publishi
ng/templates.html

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press. At least one
of the authors of any accepted paper is requested to register the
paper at the conference.

Should you have any other concern feel free to contact:
shuai.li at eng.cam.ac.uk
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From yue.xu at qut.edu.au  Sun Mar 12 00:45:03 2017
From: yue.xu at qut.edu.au (Yue Xu)
Date: Sun, 12 Mar 2017 05:45:03 +0000
Subject: Connectionists: CFP - IEEE/WIC/ACM International Conference on Web
 Intelligence 2017 (WI'17)
Message-ID: <SN1PR01MB1950B340D220C8FAF6FF6A46A0220@SN1PR01MB1950.prod.exchangelabs.com>

              [Apologies if you receive this more than once]
        Please forward this CFP to anyone who might be interested. 

#######################################################################
                            CALL FOR PAPERS 
IEEE/WIC/ACM International Conference on Web Intelligence 2017 (WI'17)
                   August 23-26, 2017, Leipzig, Germany
            Conference Website: http://webintelligence2017.com/
             (Extended FULL PAPER SUBMISSION DEADLINE: Apr. 02, 2017)

                  *** CONFIRMED KEYNOTE SPEAKERS ***
   Raj Reddy (Turing Award Winner 1994): The Ultimate Web Intelligence: Computational Social Science
   Amit Sheth: Semantic, Cognitive, and Perceptual Computing ? three intertwined strands of a golden braid of intelligent computing
   Cristiano Castelfranchi: Cognition & Self-Organization in a Hybrid Society & Coupled Reality: The role of AI
   Frank Leymann: Loose Coupling and Architectural Implications

#######################################################################
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
SPONSORS
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
  Association for Computing Machinery (ACM)
  IEEE Computer Society
  Web Intelligence Consortium (WIC)

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
AIMS AND SCOPE
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

The topics of Web Intelligence (WI) have received increasing interest in the past years. They comprise many fields, such as collective intelligence, data science, human-centric computing, knowledge management, and network science. WI'17 aims to cover leading research that both deepens the understanding of computational, logical, cognitive, physical as well as business and social foundations of the future Web, and enables the development and application of intelligent technologies. 
The research track of WI'17 invites original high-quality papers. WI'17 is methodologically open, i.e. conceptual, empirical as well as theoretical and technical papers are welcome. 

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
TOPICS AND AREAS RESEARCH PAPERS
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  Track-1: Collective Intelligence
  Track-2: Data Science
  Track-3: Human-Centric Computing
  Track-4: Knowledge Management
  Track-5: Network Science 

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
CALL FOR Proposals for TUTORIALS/WORKSHOPS/SPECIAL-SESSIONS
Call for Industry and PhD symposium Papers 
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

In addition to the research track, WI'17 comprises special sessions and workshops as well as tutorials and a PhD mentoring session. Moreover, industry papers and demo proposals can be submitted to WI'17 and will be dealt with by a special PC for industrial papers which will apply industry-compliant assessment criteria.  In all cases please refer to the individual call for papers on 
  webintelligence2017.com

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
PAPER SUBMISSION AND PUBLICATION
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

WI'17 solicits original work limited to 6-8 pages in ACM 2-column format. Each paper will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. Accepted papers will be published in the conference proceedings by ACM and indexed by EI. Furthermore, selected WI'17 papers will be invited to submit extended versions for publication in Web Intelligence journal and other international journals.  Papers have to be submitted via the Cyberchair submission page and according to the rules specified on this page:
..https://wi-lab.com/cyberchair/2017/wi17/scripts/submit.php?subarea=Wr

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
AWARDS
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Best Paper awards will be conferred at the conference on the authors of (1) the best research paper, (2) the best student paper. Application-oriented submissions will be considered for the best application paper award. 

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
IMPORTANT DATES
+++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Submission of regular papers:                              Apr. 02, 2017
Notification of regular paper acceptance:                  May  15, 2017
Camera-Ready regular papers (Main Conference)              Jun  05, 2017
Submission of Industry track papers:                       Apr. 23, 2017
Notification of Industry track paper acceptance:           May  15, 2017
Camera-Ready Papers (Industry Track)                       Jun  05, 2017
Workshop and Special session proposal submission:          Mar. 12, 2017
Notification of Workshop/Special session acceptance:       Mar. 19, 2017
Submission of Workshop/Special session papers:             May. 01, 2017
Notification of Workshop/Special session paper acceptance: May  22, 2017
Camera-Ready Papers (Workshops and Special sessions)       Jun  12, 2017
Tutorial proposal submission:                              May  01, 2017
Notification of Tutorial acceptance:                       May  15, 2017
Submission of PhD Mentoring Papers:                        May  14, 2017
Notification of PhD Mentoring Papers acceptance:           Jun. 02, 2017
Camera-Ready Papers (PhD Mentoring):                       Jun. 18, 2017
Author Registration (Main Conference)                      May  29, 2017
Main conference:                                         Aug. 23-26, 2017

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
ORGANIZING COMMITTEE
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

General Chairs (Regions):
-------------------------
  Axel Ngonga, currently Leipzig University, Germany (Africa)
  Amit Sheth, Wright State University, US (North-America)
  Guoyin Wang, Chongqing Univ. of Posts and Telecommunications, China (Asia)
  Elizabeth Chang, The University of New South Wales, Australia (Australia)
  Dominik Slezak, Infobright Inc. & Univ. of Warsaw, Poland (East Europe)
  Bogdan Franczyk, Leipzig University, Germany (West Europe)

PC Co-Chairs:
-------------
  Rainer Alt (Leipzig University, Germany)
  Xiaohui Tao (University of Southern Queensland, Australia)

Organizing Chairs:
------------------
  Bjoern Schwarzbach, Leipzig University, Germany
  Rainer Unland, University of Duisburg-Essen, Germany

Steering Committee Co-chairs:
-----------------------------
  Ning Zhong (Maebashi Institute of Technology, Japan)
  Jiming Liu (Hong Kong Baptist University, HK SAR, China)

Organizing Committee
--------------------
  Wilfried R?der, Leipzig University, Germany
  Sandra Bartsch, Institute of Applied Informatics, Germany

Publicity Chairs:
----------------
  Guadalupe Ortiz Bellot, University of C?diz, Spain
  Haoran Xie, The Education University of Hong Kong, China
  Yue Xu, Queensland University of Technology, Australia
  Roland Fassauer, Institute of Applied Informatics, Germany

Workshop and Special Session Chairs: 
------------------------------------
  Agata Filipowska, Poznan University of Economics, Poland
  Omar Hussain, UNSW Canberra, Australia
  Juan D. Velasquez, University of Chile, Chile
  Yiqiang Chen, Chinese Academy of Sciences, China
  Olaf Reinhold, Leipzig University, Germany

Doctoral Consortium Chairs:
---------------------------
  Alexander Pokahr, University of Hamburg, Germany
  Ren? Schumann, University of Applied Sciences, Switzerland

Tutorial Chairs:
---------------
  Christian Derksen, University of Duisburg-Essen, Germany
  Jacek Kucharski, Lodz University of Technology, Poland

Industry Track Chairs:
----------------------
  Hanno Hildmann, UC3M Robotics Lab, Spain & NEC Research Europe, Germany
  Fabrice Saffre, British Telecom & EBTIC, UK & UAE

Webmaster:
-----------
  Christian Franck, Leipzig University, Germany

Registrations, enquiries & special requests:
--------------------------------------------
  Sandra Bartsch, Institute of Applied Informatics, Germany

Finance Chair and CyberChair-Master:
------------------------------------
  Sebastian Fu?, Institute of Applied Informatics, Germany

Industry and Sponsorship Chairs:
--------------------------------
  Wilfried R?der, Leipzig University, Germany
  Roland Fassauer, Institute of Applied Informatics, Germany

+++++++++++++++++++++++++
Contact Information:
rainer.alt at uni-leipzig.de
xtao at usq.edu.au
+++++++++++++++++++++++++




From mbethge at tuebingen.mpg.de  Sun Mar 12 03:09:04 2017
From: mbethge at tuebingen.mpg.de (Matthias Bethge)
Date: Sun, 12 Mar 2017 08:09:04 +0100
Subject: Connectionists: Funded Ph.D. Positions at the New International Max
 Planck Research School for Intelligent Systems
Message-ID: <2C806579-CB55-4C93-99A0-EB229B36992A@tuebingen.mpg.de>

Dear all,

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen are collaborating to offer a new interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems. This new doctoral program is starting in fall 2017 and will enroll about 100 Ph.D. students over the next six years.

This school is a key element of Baden-W?rttemberg?s ?Cyber Valley? initiative to accelerate basic research and commercial development in artificial intelligence. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as

- Computer Vision
- Machine Learning
- Robotics
- Haptics
- Control Systems
- Perceptual Inference
- Computer Graphics
- Micro- and Nano-Robotics

The participating faculty are Frank Allg?wer, Matthias Bethge, Michael J. Black, Andr?s Bruhn, Peer Fischer, Andreas Geiger, Philipp Hennig, Katherine J. Kuchenbecker, Hendrik Lensch, Georg Martius, Ludovic Righetti, Stefan Schaal, Bernhard Sch?lkopf, Metin Sitti, Alexander Spr?witz, Ingo Steinwart, Marc Toussaint, Ulrike von Luxburg, and Felix Wichmann. 

Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school.  Learn more at http://imprs.is.mpg.de <http://imprs.is.mpg.de/>

- All aspects of the program are in English.
- You may join our program in late summer or early fall 2017.
- You will be mentored by our internationally renowned faculty.
- You will register as a university graduate student and conduct research for approximately three years.
- You can take part in a wide variety of scientific seminars, advanced training workshops, and social activities.
- Your doctoral degree will be conferred when you successfully complete your Ph.D. project.
- Our dedicated coordinator will assist you throughout your time as a doctoral student.

People with a strong academic background and a master?s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply.

We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions.

Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities.

You can apply at http://imprs.is.mpg.de <http://imprs.is.mpg.de/> before midnight PST on April 17, 2017.



_______________________________________________
Prof. Dr. Matthias Bethge | http://bethgelab.org <http://bethgelab.org/>  

Werner-Reichardt Centre for Integrative Neuroscience
:: University of T?bingen, Inst. for Theoretical Physics
:: Max Planck Institute for Biological Cybernetics
:: Bernstein Center for Computational Neuroscience
-------------------------------------------------------------------------------
TURN YOUR PHOTOS INTO ART ? http://DeepArt.io <http://deepart.io/>
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From boris.gutkin at gmail.com  Sun Mar 12 04:30:17 2017
From: boris.gutkin at gmail.com (Boris Gutkin)
Date: Sun, 12 Mar 2017 09:30:17 +0100
Subject: Connectionists: Deadline Approaching: ESLP2017 Call for Abstracts
Message-ID: <CAPnhZg6BSJUmUCChZ89Ss7gh=O5RYdDV1SiR_A4q=rTdA1U7+Q@mail.gmail.com>

*Deadline approaching: 15th March!*

Dear colleagues,

We are glad to invite you to submit your research to the 10th Embodied and
Situated Language Processing Conference (ESLP), which will take place in
the great city of Moscow 10, 11, and 12 of September 2017

We will be really grateful if you* share this information* with the
colleagues/mailing lists of your universities, within and abroad Russia!

We will also appreciate if you *kindly print* any of the two versions of
the poster we have (see attached) and *place them in your universities or
research centers*.

The main goal of ESLP-2017 is to bring together researchers using embodied
approaches in their study of language in its interaction with visual and
motor processing. Researchers from different disciplines (Neuroscience,
Linguistics, Cognitive Sciences) are welcome to apply.

ESLP-2017 Keynote Speakers are:

*Michael Arbib* <https://ngp.usc.edu/browse-faculty-a-z/?faculty-profile=16>,
University of Southern California, USA
*Lawrence Barsalou*
<http://www.gla.ac.uk/schools/psychology/staff/lawrencebarsalou/>,
University of Glasgow, UK
*Lera Boroditsky* <http://lera.ucsd.edu/>, UC San Diego, USA
*Luciano Fadiga* <https://www.iit.it/people/luciano-fadiga>, University of
Ferrara, Italy
*Pia Knoeferle*
<https://amor.cms.hu-berlin.de/%7Eknoeferp/Homepage__Psycholinguistics/Home.html>,
Humboldt University of Berlin, Germany

Submission info and important dates are available at the conference website:
https://www.hse.ru/cdm-centre/eslp/

*ABSTRACT DEADLINE TO ESLP2017*: *MARCH* *15th*.
You might submit your abstract through:
http://linguistlist.org/easyabs/eslp2017

Join us in Facebook: @eslp2017

Thank you very much in advance and very best regards,


On behalf of the organizing committee,


Beatriz Mart?n-Luengo
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From tarek.besold at googlemail.com  Sat Mar 11 10:38:54 2017
From: tarek.besold at googlemail.com (Tarek R. Besold)
Date: Sat, 11 Mar 2017 16:38:54 +0100
Subject: Connectionists: 1st CfP: COMPUTATIONAL ANALOGY 2017 - Workshop at
	the International Conference on Case-Based Reasoning (ICCBR 2017)
Message-ID: <002801d29a7d$97b9c750$c72d55f0$@gmail.com>

=== COMPUTATIONAL ANALOGY 2017: Workshop at the International Conference on Case-Based Reasoning (ICCBR 2017) ===


Place & Date: Trondheim, Norway, June 26-28, 2017
Workshop Website: https://iccbr-ca2017.limsi.fr


== Workshop Description ==

Computational Analogy and Case-Based Reasoning (CBR) are closely related research areas. Both employ prior cases to reason in complex situations with incomplete information. Analogy research often focuses on modeling human cognitive processes, the structural alignment between a case/source and target, and adaptation/abstraction of the analogical source content. While CBR research also deals with alignment and adaptation, the field tends to focus more on retrieval, case-base maintenance, and pragmatic solutions to real-world problems. However, despite their obvious overlap in research goals and approaches, cross communication and collaboration between these areas has been progressively diminishing. CBR and Analogy researchers stand to benefit greatly from increased exposure to each other?s work and greater cross-pollination of ideas. The objective of this workshop is to promote such communication by bringing together researchers from the two areas, to foster new collaborative endeavors, to stimulate new ideas and avoid reinventing old ones.


== Topics of interest== 

Topics of interest include, but are not limited to:

? General analogical reasoning techniques
? Adaptation
? Alignment-based explanation/evaluation
? Analogical distance
? Analogical proportions in formal concept analysis
? Analogical proportions in mathematical structures
? Analogy in numerical settings
? Compound analogy
? Constructing alignments and mappings
? Feature-based models of analogy and analogical reasoning
? Logic-based models of analogy and analogical reasoning
? Modality of representation of case/analogical source         
? The role of expertise in analogical reasoning
? Segmenting and constructing cases for alignment
? Solution-based vs. Problem-based approaches         
? Structural models of analogy and analogical reasoning
? Types of analogical transfer/mapping
? Analogical retrieval

? Analogical retrieval
? Data mining techniques
? Data sources for cases/analogies
? Feature-based vs. structural retrieval
? Indexing
? Repository-based approaches

? Analogical generalization
? Analogical abstraction
? CBR and Analogy using generalizations or schemas
? Constructing generalizations
? Cross-discipline translation of concepts/vocabulary

? Applications: Computational Analogy for?
? Cognitive Modeling
? Computational Creativity
? Computational Design
? Decision-making for robotics or virtual agents
? Knowledge capture

? Frontiers in Computational Analogy
? Assessing models of Computational Analogy
? Connections to Professional Practice in Engineering and Design
? Hybrid models
? Theoretical foundations of Computational Analogy


== Organizing Committee ==

Fadi Badra (badra at univ-paris13.fr), Universit? Paris 13, Paris (France) (Co-chair)
Tarek Besold (Tarek.Besold at uni-bremen.de), University of Bremen (Germany) (Co-chair)
Joseph Blass (joeblass at u.northwestern.edu), Northwestern University (USA)
Tesca Fitzgerald (tesca.fitzgerald at cc.gatech.edu), Georgia Institute of Technology (USA)
Vincent Letard (vincent.letard at limsi.fr), LIMSI (France)


== Program Committee ==

Emmanuel Sander (Universit? Paris 8, Paris, France)
Steven Schockaert (Cardiff University, UK)
Antoine Cornu?jols (LRI, Orsay, France)
Kenneth Forbus (Northwestern University, Chicago, USA)
Christian Schunn (University of Pittsburg, USA)
Mark Burstein    (SIFT, USA)
Hernan Casakin (Ariel University, Israel)
Amaresh Chakrabarti     (Indian Institute of Science, India)
Mark Finlayson (FIU, USA)
Scott Friedman (SIFT, USA)
Bipin Indurkhya (Jagiellonian University, Poland)
Mark Keane (UC Dublin, Ireland)
Philippe Langlais (Universit? de Montreal, Canada)
Yves Lepage (Waseda University, Tokyo, Japan)
Abhijit Mahabal (Google, USA)
Katherine Fu (Georgia Institute of Technology, Atlanta, USA)
Myriam Bounhas (LARODEC, Tunisia)
Ute Schmid (Universit?t Bamberg, Germany)
Santiago Ontanon (Drexel University, USA)


== Participation ==

The workshop will be held on one day between June 26-28th, 2017, as part of the ICCBR 2017 workshop series in Trondheim, Norway. The workshop is open to all interested conference participants. We welcome longer submissions (up to 10 pages), as well as shorter submissions for work in progress or position papers. Papers will be reviewed by qualified reviewers drawn from the workshop?s Program Committee, and the Program Committee will select amongst the submitted papers for oral presentation. We also encourage those who do not want to submit a paper to attend, as one of the primary goals of the workshop is to foster greater communication and cross-pollination of ideas amongst Computational Analogy and CBR researchers.


== Submissions ==

Paper submissions should be formatted using the ICCBR Conference format, but with a maximum of 10 pages in length (including references). Shorter submissions (max 5 pages), such as work in progress or position papers, are also welcome. Authors will be required to submit their papers through the workshop submission website.

Workshop submission website : https://easychair.org/conferences/?conf=cawiccbr17


== Important dates ==

Submission deadline : April 24th, 2017
Notification of acceptance : May 8th, 2017
Camera-ready paper : May 29th, 2017





From k.wong-lin at ulster.ac.uk  Sun Mar 12 10:22:52 2017
From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt)
Date: Sun, 12 Mar 2017 14:22:52 +0000
Subject: Connectionists: Frontiers in Serotonin Research Symposium
Message-ID: <DB4PR06MB07514732287492D8719AD711FD220@DB4PR06MB0751.eurprd06.prod.outlook.com>

We are very pleased to announce an upcoming neuroscience symposium titled Frontiers in Serotonin Research ? Crossing Scales and Boundaries. The symposium will be held in Beijing Normal University, Beijing, China, on the 28th and 29th June this year.

Serotonin is an important chemical in the brain. It modulates neuronal and neuronal circuit activities and regulates mood, cognition and behavior. Dysfunctions of the serotonergic system are associated with various brain disorders. Recent research using advanced technologies have revealed additional levels of heterogeneity and complexity in the serotonergic system, hence presenting new challenges to research and therapy. This symposium aims to bring together experimental and computational researchers that work across different scales of the serotonergic system to address these challenges.

Confirmed speakers include Trevor Sharp (University of Oxford,UK), Minmin Luo (NIBS, China), Francesc Aartigas (IDIBAPS, Spain), Kae Nakamura (Kansai Medical University,Japan), Yousheng Shu (BNU, China), Katsuhiko Miyazaki (OIST, Japan), Xuechu Zhen (Soochow University,China), Giuseppe Di Giovanni (University of Malta; University of Cardiff), and Albert Compte (IDIBAPS, Spain).

If you are interested in attending the symposium or have any enquiry, please contact Prof. Da-Hui Wang (wangdh at bnu.edu.cn<mailto:wangdh at bnu.edu.cn>).

Best,
Prof. Da-Hui Wang (Beijing Normal University, China) and Dr. KongFatt Wong-Lin (Ulster University, UK)

------------------

Further information:

Beijing is the capital of China, and has a long history with many attractions. The latter include the Forbidden City, Summer Palace, Great Wall, etc. (e.g. see http://www.china.org.cn/travel/beijingguide/node_7044548.htm). The weather in Beijing toward the end of June can be warm and has an average high temperature of about 30 ?C. Beijing Normal University (BNU) is one of the top universities in China (http://english.bnu.edu.cn/about_bnu/general_information/index.htm). Its faculty and staff conduct highly competitive research in the humanities, social sciences, and natural sciences. The State Key Laboratory of Cognitive Neuroscience and Learning (http://brain.bnu.edu.cn/en/Home/) at BNU consists of leading laboratories on cognitive neuroscience research in China. The School of Systems Science at BNU is another prominent research institute which focuses on the science and applications of complexity, which includes neural systems, complex networks, socioeconomic system and multi agent systems. The most convenient way to travel from Beijing Capital International Airport to Beijing Normal University campus is by taxi. The taxi fare is about 100 RMB one way, and the journey takes about 40 minutes. There is a hotel named Jing Shi Da Sha located on campus (http://www.ciae.bnu.edu.cn/english/index.html).





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From zrinka at nld.ds.mpg.de  Mon Mar 13 03:28:24 2017
From: zrinka at nld.ds.mpg.de (Zrinka Gattin)
Date: Mon, 13 Mar 2017 08:28:24 +0100
Subject: Connectionists: REMINDER: Call for Workshops - Bernstein Conference
 2017, extended deadline: 15.03.2017
Message-ID: <58C64A18.1050201@nld.ds.mpg.de>

The Bernstein Network Computational Neuroscience and the Bernstein 
Center G?ttingen
invite proposals for Satellite Workshops.
Satellite Workshops will directly precede the Bernstein Conference 2017 
in G?ttingen.

**************************************************************
*Important Dates:*
_Workshops:_ September 12 - 13, 2017
_Main Bernstein Conference:_ September 13 - 15, 2017
_Deadline for proposal submission:_ *March 15, 2017*
_Notification of workshop acceptance:_ April 10, 2017

**************************************************************

Since 2013, the Bernstein Conference hosts pre-conference workshops. 
They provide a stage to discuss topical
research questions, novel scientific approaches and challenges in 
Computational Neuroscience and related fields.
Workshops addressing controversial issues, open problems, and 
comparisons of competing approaches are
encouraged. Workshop formats should be designed to foster debate beyond 
a mere series of talks.
The Bernstein Conference started out as the annual meeting of the 
Bernstein Network Computational Neuroscience
and has become the largest annual single-track Computational 
Neuroscience conference in Europe in recent years.

_Workshop time frame:_
September 12, 2017, 13:00 - 18:00
September 13, 2017,   9:00 - 12:30

Workshop proposals are welcome for either half-day or full-day workshops.

Workshop costs: NEW THIS YEAR ? FINANCIAL SUPPORT:
For all accepted workshops the registration is free of charge for 
organizers and speakers. Organizers will also receive
a waiver for the main conference fee. New this year: From the accepted 
workshops a maximum of ten workshops
will be selected to each receive financial support of up to 1.500,00 ?.

For further information about the conference, please visit the 
conference website http://www.bernstein-conference.de.

INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION
Workshop proposals must contain:
1) Workshop Title
2) Concise description of workshop topic
3) List of potential speakers indicating speaker commitment

Please use the Workshop Proposal Form that can be downloaded here:
http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops

*Deadline for submission of Workshop proposals:**March 15, 2017*

Accommodation and Hotel Reservation:
We strongly recommend early room booking.  The number of available 
accommodation is limited due to several
concurrent events. We arranged for room contingents in a variety of 
hotels that you may book by yourself by email or
phone. Please follow the instructions at our Accommodations Web-site
(http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation).
We would like to emphasize that these room contingents will be held open 
up to different expiration dates depending
on the hotel (or until they are filled). The earliest expiration date is 
already end of May 2017 whereas the majority of
offers expire at the 12th of July 2017. We strongly encourage 
participants to share rooms and to book rooms as a group.
Groups of three or four are possible if you book a suite.  The room 
contingent contains a set of suits and apartments.
We emphasize that it will be very difficult to book accommodation beyond 
the expiration dates.
Please find a list of the hotels  at our Accommodations Web-site.

CONTACT: contact at bccn-goettingen.de

We are looking forward to seeing you in G?ttingen!
WORKSHOP SELECTION COMMITTEE:
Florentin W?rg?tter (Chair)
Marion Silies (co-Chair)
Christian Tetzlaff (co-Chair)
Matthias Bethge
Laura Busse
Claudia Clopath
Julia Fischer
Alexander Gail
Richard Hahnloser
Claus Hilgetag
Peter Jonas
Siegrid L?wel
Michael Platt
Viola Priesemann
Nicole Rust
Fred Wolf (Conference Chair)

-- 
Dr Zrinka Gattin
Bernstein Center for Computational Neuroscience (BCCN) Goettingen
Bernstein Focus Neurotechnology (BFNT) Goettingen
PhD Program in Theoretical and Computational Neuroscience
Am Fassberg 17
D-37077 Goettingen

Phone:    +49 (0)551 5176 418
Fax:      +49 (0)551 5176 14418
E-Mail:   zrinka at nld.ds.mpg.de

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From m.herbster at cs.ucl.ac.uk  Sun Mar 12 11:43:11 2017
From: m.herbster at cs.ucl.ac.uk (Mark Herbster)
Date: Sun, 12 Mar 2017 15:43:11 +0000
Subject: Connectionists: Research Associate Position in Quantum Algorithms
 for Cognitive Healthcare
Message-ID: <829295DF-CC89-4590-925D-B52963E4BB04@cs.ucl.ac.uk>

Research Associate Position in Quantum Algorithms for Cognitive Healthcare
University College London 
Department of Computer Science

The aim of this 1 year Research Assistant position is to design and analyse efficient algorithms for quantum machine learning.  We are interested in both algorithms that may be implemented with currently envisioned quantum computing devices as well as the efficient implementation on classical computers of quantum-inspired algorithms.  The postdoc will be carried out in collaboration with Siemens UK. Two research areas that will be considered for the grant are the following, Quantum Machine Learning for regularised risk minimisation and for Adiabatic Annealing.  The project will be supervised by Mark Herbster (m.herbster at cs.ucl.ac.uk) and Simone Severini (s.severini at ucl.ac.uk) at UCL and Peter Mountney (peter.mountney at siemens.com) at Siemens UK.

To apply see http://bit.ly/2lKKqMq and for details see below.

Quantum Machine Learning for regularised risk minimisation.

Recently a new family of quantum algorithms has emerged, based on the HHL (Quantum algorithm for solving linear systems of equations (2008)). HHL can approximately solve a system of linear equations with potentially exponential speedups over classical approaches. These algorithms are driving a revolution in quantum machine learning by extending HHL or using it as a subroutine. A common framework for machine learning is regularised risk minimisation. Given a dataset we should select a hypothesis which trades off "fit to the data" and "complexity" of the hypothesis. Standard examples of regularisers for linear prediction include the 2-norm, 1-norm and maximum entropy. A number of problems such as object detection can be framed as "matrix learning" or non-negative matrix factorization including object detection and tracking. The aim of this work is to apply and extend the quantum algorithms based on HHL to matrix learning via spectral regularization. In this work we will develop an approach to automatically detect and track surgical tools in medical images. We will investigate the feasibility of this in software.


Quantum Machine Learning via Adiabatic Annealing. 

Early approaches to quantum machine learning, such as QBoost, focused on using the quantum annealer as an optimizer for quadratic unconstrained binary optimization problems with limited success. However, recent work has re-imagined devices for quantum annealing as a quantum sampler and physical implementation of a Restricted Boltzmann Machine. The Boltzmann machine is one of the fundamental techniques powering the deep learning revolution. Initial work on Quantum Boltzmann Machines for training Deep Neural Networks and Deep Belief Networks has shown comparable or superior results with significantly fewer iterations of generative training.  Deep Neural Networks will play a large role in the Cognitive OR of the future by helping to detect, model and track everything form anatomy and tools to people and equipment.  We will also investigate the feasibility of this approach to detect tools in medical images.



From mosb at robots.ox.ac.uk  Sun Mar 12 22:52:18 2017
From: mosb at robots.ox.ac.uk (Michael A Osborne)
Date: Mon, 13 Mar 2017 10:52:18 +0800
Subject: Connectionists: postdoc job in machine learning at the University
 of Oxford, deadline 23 Mar
Message-ID: <8F472AAB-E021-4E97-8115-89578366695F@robots.ox.ac.uk>

Come help understand how machine learning will transform employment in 
healthcare!

Best
Mike

__________________________________
Michael A Osborne
Dyson Associate Professor in Machine Learning, Engineering Science
Co-Director, Oxford Martin Programme on Technology and Employment
Faculty Member, Oxford-Man Institute of Quantitative Finance
Official Fellow, Exeter College
University of Oxford
+44 (0)1865 616622
http://www.robots.ox.ac.uk/~mosb
http://twitter.com/maosbot

## Postdoctoral Research Assistant in Machine Learning

### Department of Engineering Science, Oxford

*Grade 7: ?31,076 - ?38,183 p.a.*

More details and applications here: https://is.gd/i2mA7D. The closing 
date for applications is **12.00 midday on 23rd of March 2017.**

We are seeking a full-time Postdoctoral Research Assistant to join the 
machine learning research group at the Department of Engineering Science 
(central Oxford). The post is fixed-term to 31 May 2018. The post will 
involve work on a project funded by the Health Foundation.

Your role in the project is to develop novel probabilistic machine 
learning algorithms for economic data characterising the future of 
employment. The project examines automation and computerisation in UK 
primary healthcare delivery; the project?s website is here: 
http://healthautomation.oii.ox.ac.uk.

You should possess a good first degree in Engineering, Computer Science, 
Mathematics, Statistics, Economics or similar, with specialisation in 
probabilistic models and have or are about to complete a PhD in a 
relevant area. You will be required to upload a covering 
letter/supporting statement, including a brief statement of research 
interests (describing how past experience and future plans fit with the 
advertised position), CV and the details of two referees as part of your 
online application. Informal enquiries may be addressed to Prof Michael 
Osborne (email: mosb at robots.ox.ac.uk).

The department holds an Athena Swan Bronze award, highlighting its 
commitment to promoting women in Science, Engineering and Technology.

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From daniela.potzinger at igi.tugraz.at  Mon Mar 13 04:49:22 2017
From: daniela.potzinger at igi.tugraz.at (Daniela Potzinger)
Date: Mon, 13 Mar 2017 09:49:22 +0100
Subject: Connectionists: Professorship in Machine Learning at Graz
	University of Technology
In-Reply-To: <748c3e28-5718-758b-9e2f-9e852187012d@igi.tugraz.at>
References: <748c3e28-5718-758b-9e2f-9e852187012d@igi.tugraz.at>
Message-ID: <aa5ba657-f794-2ada-c510-89f7918a83d8@igi.tugraz.at>


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Subject: Professorship in Machine Learning at Graz University of Technology
Date: Fri, 10 Mar 2017 15:38:43 +0100
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URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20170313/295e3ee2/attachment.eml>

From secretary at e-nns.org  Mon Mar 13 07:05:49 2017
From: secretary at e-nns.org (ENNS Secretary)
Date: Mon, 13 Mar 2017 12:05:49 +0100
Subject: Connectionists: [ICANN 2017] DEADLINE EXTENSION -- 26th
	International Conference on Artificial Neural Networks,
	Alghero, Sardinia, Italy
Message-ID: <82EA1365-E7E0-4AEF-B9DE-1A94E36D13CF@e-nns.org>

Second Announcement and Call For Papers // DEADLINE EXTENSION [Apologies for cross-postings] #ICANN2017ENNS

===========================================================


www.icann2017.org

ICANN 2017

26th International Conference on Artificial Neural Networks

Alghero, Sardinia, Italy 

11th - 15th September 2017

===========================================================

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2017, the 26th ICANN will be organised from the 11th to the 15th of September 2017 in Alghero, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series.

 

IMPORTANT DATES

Submission of abstracts and papers: Extended to 3 April 2017

Notification of acceptance: 15 May 2017

Camera-ready paper and registration: 28 May 2017

Conference dates: 11 - 15 September 2017



CONFIRMED PLENARY SPEAKERS

Moshe Abeles (Bar-Ilan University)
Elisabeth Andr? (Universit?t Augsburg)
Michele Giugliano (University of Antwerp)
Marco Gori (Universit? degli Studi di Siena)
David R?os Insua (ICMAT-Institute of Mathematical Sciences, Madrid)


CONFERENCE TOPICS

ICANN 2017 will feature the main tracks Brain Inspired computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference.

A non-exhaustive list of topics includes:

?    Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning.

?    Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models.

?    Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks.

 

CONFERENCE OBJECTIVES

- To bring together researchers from two worlds: Information Sciences and Neurosciences

- To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems

- To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.

- To help researchers to meet, mingle and network with colleagues from all over the world.

- To be the meeting point between research and business.

- To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation.


- To help young researchers on the job market meet and mingle with potential labs and research groups in an informal setting.

 

BENEFITS OF ATTENDING THE CONFERENCE

- A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks.

- A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion.

- The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series.

- The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN.

- A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend.

- An overly attractive conference location in the beautiful setting of the Sardinian coast, with social events to explore the area. http://www.alghero-turismo.it/en/

 

CONFERENCE REGISTRATION FEES

Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. 

Early registration fees:

Undergraduate students (Bachelor and Master level): 100 EUR

PhD Students: 240 EUR

Regular delegates: 290 EUR

ENNS members have a reduction of 40 EUR

Students can apply for ENNS funded travel grants to attend (see the conference website for details).


CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS

All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications:

- oral communications (15'+5')

- poster communications (on permanent display and 2 hours presentation)

- demonstrations

Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission.

Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index.

In case of program constraints the priority will be given to original contributions accompanied by a full paper submission.

 

CALL FOR WORKSHOPS AND SPECIAL SESSIONS

ICANN 2017 invites proposals for workshops and special sessions to be held as satellite events of the conference. For more information, please refer to the website and/or contact the general chair.

 

BEST PAPER AWARDS

ENNS will sponsor several best paper awards, in the Brain Inspired Computing track and in the Machine Learning research track. All awardees will be presented during the final ceremony.

 

ORGANISATION 

General Chair: Alessandro E.P. Villa

General Co-chairs: Alessandra Lintas, V?ra K?rkov?, Stefano Rovetta, Paul F.M.J. Verschure

Local Co-chairs: Eugenio Lintas, Anna Mura

Program and Workshop Committee: Cesare Alippi, J?r?mie Cabessa, Barbara Hammer, Petia Koprinkova-Hristova, Jaako Peltonen, Antonio J. Pons, Yifat Prut, Stefano Rovetta, Igor V. Tetko, Paul F.M.J. Verschure, Alessandro E.P. Villa, Francisco Zamora-Martin?z

Communications Chair: Paolo Masulli

Organisation

Universit? degli Studi di Sassari, Italy

University of Lausanne, Switzerland

Universitat Pompeu Fabra, Spain

European Neural Network Society, Switzerland


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From ted.carnevale at yale.edu  Mon Mar 13 11:37:20 2017
From: ted.carnevale at yale.edu (Ted Carnevale)
Date: Mon, 13 Mar 2017 11:37:20 -0400
Subject: Connectionists: 2017 NEURON Summer Course
Message-ID: <e67ad7c8-7850-054e-aed1-e44f42653418@yale.edu>

The 2017 NEURON Summer Course will be held at Wright State University
in Fairborn, Ohio, from Monday, June 5, through Saturday, June 10.
The course will present a thorough introduction to computational
modeling of neurons and networks with NEURON, and is suitable for
individuals at all levels of expertise.  This year we have increased
the course duration to 6 days (5 days in previous years) in order to
provide expanded coverage of parallel simulation, and to give
participants more time for active learning exercises.

The registration deadline is Monday, May 15, 2017.  No applications
will be accepted after that date, and there will be no on-site
registration.  Space is limited, and applications will be considered
in the order received.

For more information and the on-line registration form, see
http://www.neuron.yale.edu/neuron/static/courses/summer2017/summer2017.html

--Ted

From pascal.fua at epfl.ch  Mon Mar 13 13:18:18 2017
From: pascal.fua at epfl.ch (Pascal Fua)
Date: Mon, 13 Mar 2017 18:18:18 +0100
Subject: Connectionists: Post-Doctoral Fellowships in Computer Vision at EPFL
Message-ID: <4ed1b1c3-a093-9f96-8883-79f54bd8ce26@epfl.ch>

EPFL's Computer Vision Lab (http://cvlab.epfl.ch/) has openings for two 
post-doctoral fellows. The positions are initially offered for 1 year 
and can be extended for up to 4 years total.



Description:

	1. We are about to begin a joint project with FLARM (http://flarm.com/) 
, a Swiss Company that develops collision avoidance devices for light 
aircrafts, helicopters, and drones. This is important because the skies 
are becoming ever more crowded by both commercial and general aviation, 
to which must now be added Unmanned Aerial Vehicles (UAVs), also known 
as drones, along with paragliders, blimps, and many other flying 
vehicles. To this end, we add to existing devices a wide-angle camera to 
be used to detect aircraft that might be on a collision course. This 
will involve developing robust and energy efficient Deep Learning 
algorithms to detect potential threats that only occupy a small portion 
of the field of view, may move against complex backgrounds, and are 
filmed by a camera that itself moves against the background.

	2. In earlier work, we have developed automated delineation algorithms 
that can be used to trace structures ranging from dentrites and axons in 
microscopy images to roads and rivers in aerial images. We now want to 
turn these algorithms into reliable ones that scale up to much larger 
problems than those we have addressed so far. This will involve 
developing techniques for optimization on large graphs as well for 
Transfer and Active Learning to train the underlying deep networks 
without requiring huge amounts of data.


Position:



The Computer Vision Laboratory offers a creative international 
environment, a possibility to conduct competitive research on a global 
scale and involvement in teaching. There will be ample opportunities to 
cooperate with some of the best groups in Europe and elsewhere.

EPFL is 
located next to Lake Geneva in a beautiful setting 60 kilometers away 
from the city of Geneva. Salaries for post-doctoral fellows start from 
CHF 81,400 per year, the precise amount to be determined by EPFL's 
department of human resources.



Education:



Applicants are expected to have finished, or be about to finish their 
Ph.D. degrees, to have a strong background in Computer Vision and 
Statistical Machine Learning, and to have a track record of publications 
in top conferences and journals. Strong programming skills (C or C++) 
are a plus. French language skills are not required, English is mandatory.



Application:



Applications must be sent by email to Ms. Staudenmann 
(ariane.staudenmann at epfl.ch). They must contain a statement of interest, 
a CV, a list of publications, and the names of three references. Please 
also specify which one of the two positions you are most interested in.
-

From Bastian.Bischoff at de.bosch.com  Mon Mar 13 12:26:48 2017
From: Bastian.Bischoff at de.bosch.com (Bischoff Bastian (CR/PJ-AI-R))
Date: Mon, 13 Mar 2017 16:26:48 +0000
Subject: Connectionists: Open Research Positions at Bosch Center for
	Artificial Intelligence
Message-ID: <bcabf6490c864a35b897545df56c9988@SI-MBX1029.de.bosch.com>

The newly founded Bosch Center for Artificial Intelligence has several open research positions located at our research campus in Renningen, Germany.

Deep Learning Research Engineer
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021ED6BED1B482422F8A80

Deep Learning Research Adversarial Examples and Explainable AI
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE781ADD77855B5C345

Deep Learning Research Network Compression
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE780FD1FEAE334CF42

Deep Learning Research Uncertainty Estimates
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE780FD0C7CD23986F7

Deep Learning Research Autonomous Driving
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE781ADAAB4787883EB

Reinforcement Learning Researcher
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE6BECDA8F1290F0792

Probabilistic Modeling Researcher
https://www.bosch-career.de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE6BECD2480FEC3CBD2



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From k.schwarzwaelder at fz-juelich.de  Tue Mar 14 05:30:43 2017
From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder)
Date: Tue, 14 Mar 2017 10:30:43 +0100
Subject: Connectionists: Call for applications: Brains for Brains Young
 Researchers' Computational Neuroscience Award 2017
In-Reply-To: <ae3d79cf-5138-878e-86c8-071ac5c567ab@fz-juelich.de>
References: <ae3d79cf-5138-878e-86c8-071ac5c567ab@fz-juelich.de>
Message-ID: <0b82ed39-4d08-3172-3d24-1ce6c159cd25@fz-juelich.de>


Dear colleagues,

For the eighth time, the Bernstein Association for Computational Neuroscience<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award".

The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2016 or 2017.

The award is endowed with a travel grant of 2.000 ? to cover a trip to Germany, including participation in the Bernstein Conference 2017 in G?ttingen (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience.

Deadline for application is April 27, 2017 (2:00 p.m. CET).

Detailed information about the application procedure can be found under:
www.nncn.de/en/bernstein-association/brains-for-brains-2017<http://www.nncn.de/en/bernstein-association/brains-for-brains-2017>

For inquiries please contact bernstein.network at fz-juelich.de<mailto:bernstein.network at fz-juelich.de>

Best regards,
Kerstin Schwarzw?lder

--

Dr. Kerstin Schwarzw?lder
Scientific Coordination / Management Officer

Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>

Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS)
Branch Office of the Forschungszentrum J?lich
at the University of Freiburg
Hansastr. 9A | 79104 Freiburg, Germany

phone:  (+49) 0761 203 9589
mail:   k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>
web:    www.nncn.de<http://www.nncn.de>

Twitter:  NNCN_Germany<https://twitter.com/NNCN_Germany>
YouTube:  Bernstein TV<https://www.youtube.com/user/BernsteinNetwork>
Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/>
LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>
<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>





------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------

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From lydia.fischer at honda-ri.de  Tue Mar 14 03:50:06 2017
From: lydia.fischer at honda-ri.de (lydia.fischer at honda-ri.de)
Date: Tue, 14 Mar 2017 08:50:06 +0100
Subject: Connectionists: Deadline Extension SS: Self-assessment in advanced
 machine learning models ICANN 2017
Message-ID: <OF62FD6255.F1C38114-ONC12580E3.002B0A3A-C12580E3.002B0A3C@uk.hrdeu.com>

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From annalisa at informatik.uni-mannheim.de  Tue Mar 14 09:16:48 2017
From: annalisa at informatik.uni-mannheim.de (Anna Lisa Gentile)
Date: Tue, 14 Mar 2017 14:16:48 +0100
Subject: Connectionists: [CfP] ISWC 2017 - workshop and tutorial proposals:
 deadline approaching
Message-ID: <d373b745-bda0-968c-4564-682ebc678d04@informatik.uni-mannheim.de>

*

16th International Semantic Web Conference (ISWC 2017)

Vienna, Austria, October 21-25, 2017


This is a reminder about the ISWC2017 call for Workshop and Tutorial 
proposals.

The deadline for submission is this Friday **17th March**

We are looking forward very much from innovative ideas from the 
subscribers of this list.


Website: http://iswc2017.semanticweb.org

Facebook: https://www.facebook.com/groups/113652365383847

Twitter: @iswc2017 (https://twitter.com/ISWC2017)

Overview calls: http://iswc2017.semanticweb.org/calls/


In this announcement:

Workshop and Tutorial proposals: **deadline reminder**


Call for Workshop and Tutorial proposals

==========================================

In addition to the regular research program, ISWC 2017 will feature a 
workshop and tutorial program addressing the diverse interests of its 
audience.**We hereby invite you to submit a tutorial proposal on a topic 
relevant to the ISWC 2017 audience.


Detailed info: 
http://iswc2017.semanticweb.org/calls/call-for-tutorial-proposals/


Besides tutorials, ISWC will host a number of workshops on topics 
related to the general theme of the conference. The role of the 
workshops is to provide a context for a focused and intensive scientific 
exchange among researchers interested in a particular topic. As such, 
workshops are the primary venues for the exploration of emerging ideas 
as well as for the discussion of novel aspects of established research 
topics.

We invite you to submit a proposal for workshops on a topic of interest 
to ISWC attendees.


Detailed info: 
http://iswc2017.semanticweb.org/calls/call-for-workshop-proposals/


Workshops & Tutorials Chairs

* Aidan Hogan, Universidad de Chile Santiago, Santiago, Chile

* Valentina Presutti, Institute of Cognitive Sciences and Technologies, 
CNR, Rome, Italy


Important Dates for Workshop and Tutorial

==========================================

Workshop & Tutorial proposals dueMarch 17, 2017

Workshop & Tutorial proposals notifications sent**April 7, 2017

Workshop paper submissions dueJuly 21, 2017

Workshop paper notifications sentAugust 24, 2017

Workshops & TutorialsOctober 21 & 22, 2017

ConferenceOctober 23, 24 & 25, 2017


The ISWC Organising Committee (http://iswc2017.semanticweb.org/organization/

*
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From malin.sandstrom at incf.org  Wed Mar 15 07:50:34 2017
From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=)
Date: Wed, 15 Mar 2017 12:50:34 +0100
Subject: Connectionists: Applications open for IBRO-APRC School on
 Neuroinformatics and Brain Network Analysis,
 Aug 2-16 in Kuala Lumpur | Apply latest April 2
Message-ID: <CAOAt7bZRv7i49HpPpz8J+2XK0xCUbZTC7WP-LirM46xv0EAt5Q@mail.gmail.com>

Dear all,

please forward this information to potential students and supervisors in
your networks.

INCF Malaysia Node is arranging a summer course, the IBRO-APRC School on
Neuroinformatics and Brain Network Analysis, in Kuala Lumpur on August
2-16, just before the 2017 INCF Neuroinformatics Congress. It is sponsored
by IBRO and co-sponsored by INCF. The course will teach advanced techniques
in brain functional and structural network/connectivity analysis, including
open source pipelines and workflows in neuroimaging analysis.

Graduate students with a trans-disciplinary background in neuroscience,
clinical brain sciences, computer science or engineering are welcome to
apply. The ideal candidates should possess programming skills (ideally
Python), some knowledge of human brain anatomy and function and rudimentary
familiarity with MRI neuroimaging modalities. For selected applicants, the
costs for return flight, meals, and accommodation in Kuala Lumpur will all
be covered.

http://ibro.info/events/applications-open-for-ibro-aprc-school-on-neuroinformatics-and-brain-network-analysis/

*Application deadline: April 2*

For all enquiries, please contact Dr. Eric Ho at hotattwei at utp.edu.my

Best regards,
Malin
-- 
Malin Sandstr?m, PhD
Community Engagement Officer
malin.sandstrom at incf.org

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels v?g 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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From james.rankin at gmail.com  Wed Mar 15 09:57:52 2017
From: james.rankin at gmail.com (James Rankin)
Date: Wed, 15 Mar 2017 13:57:52 +0000
Subject: Connectionists: PhD in Computational Neuroscience at the University
	of Exeter (fully funded)
Message-ID: <CAJV_uPuSoDcB6eOkdyVBn+UUrh+_0YX7J43TCkCavohK2dUgKg@mail.gmail.com>

3.5 year college funded PhD Studentship in Computational Neuroscience:
*Neural dynamics of perceptual competition *
Ref: 2589

Open to UK, EU and International students with maintenance (?14,296 per
year) and tuition fees fully funded

http://www.exeter.ac.uk/studying/funding/award/?id=2589

This interdisciplinary project will use mathematical modelling, in
conjunction with psychophysics (human perception experiments), to better
understand the neural competition underpinning the dynamics of perception.
Ambiguity in fixed sensory stimuli can lead to spontaneous switches in
perception, both in vision, e.g. binocular rivalry, Necker cube, and
audition, e.g. auditory streaming (switches between grouped or segregated
interpretations of tone sequences). A set of common characteristics
(inevitability of perceptual changes, exclusivity between the competing
percepts, and randomness in the percept durations), generalise across
sensory modalities. The neural competition driving these perceptual
switches has been successfully modelled in small networks of Wilson-Cowan
(firing rate) units, each associated with the different perceptual
interpretations. For certain stimuli, where competition takes place across
a continuous feature space (say, visual orientation, motion direction, or
auditory pitch), a continuum model, such as the neural field equation can
be applied.  This PhD project will involve the derivation of perceptual
competition models in a dynamical systems framework, based on plausible
neural mechanisms commonly found in sensory cortex. Modelling hypotheses
and predictions will be tested against experimental data collected in our
lab or from collaborators. On the modelling side, tools from bifurcation
analysis including numerical continuation will be applied to investigate
dynamics.  The project will be flexible in terms of the balance between
modelling and experiments.  Candidates with quantitative backgrounds
(mathematics, physics, and engineering) and from neuroscience or psychology
programmes are encouraged to apply.  Programming experience and/or
knowledge of dynamical systems theory is a plus.

Contact: j.a.rankin at exeter.ac.uk
Informal enquiries welcome.

Application deadline: 10th April 2017

Please forward to interested parties as appropriate

Thanks,
James
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From k.schwarzwaelder at fz-juelich.de  Wed Mar 15 11:46:53 2017
From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder)
Date: Wed, 15 Mar 2017 16:46:53 +0100
Subject: Connectionists: =?utf-8?q?Bernstein_Network_Information_Booth_at_?=
 =?utf-8?q?12th_G=C3=B6ttingen_Meeting_of_the_German_Neuroscience_Society_?=
 =?utf-8?b?KE5XRyk=?=
Message-ID: <39986a62-1903-f3ae-e643-1527dff5d7f5@fz-juelich.de>

Dear colleagues,

The Bernstein Network Computational Neuroscience will have an exhibition booth at the upcoming NWG Meeting<https://www.nwg-goettingen.de/2017/default.asp> in G?ttingen (March 22 - 25, 2017). Representatives of the Bernstein Network<http://www.nncn.de/en/start_page?set_language=en>, the SMART<http://www.smartstart-compneuro.de/>START training program in Computational Neuroscience<http://www.smartstart-compneuro.de/>, and G-Node<http://www.g-node.org/> will be present at the booth.

The booth will present:

  *   research fields
  *   study and training programs
  *   open positions
  *   research and funding opportunities
  *   infrastructural facilities: G-Node<http://www.g-node.org/> and Simulation Laboratory Neuroscience - Bernstein Facility for Simulation and Database Technology<http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html>

Furthermore, the G-Node will present their new data management service<http://www.g-node.org/gin> for storing, sharing, and publishing research data. Demo presentations will be given during poster session times. Conference participants are invited to come by the booth any time to try out the new service.

We are looking forward to welcoming you at our booth!

Best regards,
Kerstin Schwarzw?lder

--

Dr. Kerstin Schwarzw?lder
Scientific Coordination / Management Officer

Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>

Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS)
Branch Office of the Forschungszentrum J?lich
at the University of Freiburg
Hansastr. 9A | 79104 Freiburg, Germany

phone:  (+49) 0761 203 9589
mail:   k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>
web:    www.nncn.de<http://www.nncn.de>

Twitter:  NNCN_Germany<https://twitter.com/NNCN_Germany>
YouTube:  Bernstein TV<https://www.youtube.com/user/BernsteinNetwork>
Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/>
LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>
<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>





------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------

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From demian.battaglia at univ-amu.fr  Wed Mar 15 14:23:55 2017
From: demian.battaglia at univ-amu.fr (Demian Battaglia)
Date: Wed, 15 Mar 2017 19:23:55 +0100
Subject: Connectionists: PhD opening - Temporal networks: from network
	theory to brain science
Message-ID: <97D841F5-787B-468C-89A5-66EC461A4FB0@univ-amu.fr>

We are seeking for candidates for a PhD fellowship on the topic:

Temporal networks: from network theory to brain science

This project will be co-directed by Alain Barrat (Center for Theoretical Physics) and Demian Battaglia (Institute for Systems Neuroscience) at Aix-Marseille University,
awarded the prestigious status of "Excellence Initiative" (A*MIDEX) by the French Government and considering interdisciplinary studies as one of its main axes of growth.

A temporal network is a mathematical structure used to model time-varying relations between objects organised in networks. The study of temporal networks is an emerging field that embraces several disciplines. 
Indeed, a vast number of systems, from brain networks to socio-communication patterns or social networks, until recently studied as static objects, can ?and should? be represented as temporal networks.
In this project, the student will develop temporal network descriptions of dynamic functional connectivity extracted from brain imaging time-series (including virtual imaging sessions, based on The Virtual Brain software).
Applications will include the study of how dynamic functional connectivity changes along the learning of a cognitive task or through aging, both healthy and pathological. The opportunity will be offered to work in strict contact
with the clinical research department of Prof. Olivier Blin where data are gathered and cognitive challenge models designed and implemented.

IMPORTANT: the applicant must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the reference date (October 1st, 2017).

The program will be funded under the the prestigious Marie Sk?odowska-Curie COFUND action within the H2020 Research and Innovation programme of the European Union and by the Regional Council of Provence-Alpes-C?te d?Azur, with a contribution from A*MIDEX Foundation.

Within this programme, the PhD fellows will sign a three-year work contract.

Some of the advantages
	? PhD fellowship remunerated above that of a standard French PhD contract with a monthly net salary of approximately 1625?/month.
	? Financial support for international research training and conferences participations.
	? International mobility of PhD fellows is financed by the A*MIDEX Foundation. 
	? A 500? travel allowance per year is also provided for the fellows to travel between Marseille and their place of origin.
	? Tailored training and personalised mentoring, financial support for international research training and conferences participations. 

Doctoral fellows will also benefit from:
	? 1 welcoming day.
	? Support in the administrative procedures.
	? Reserved rooms in university housing.
	? Several activities to promote integration in the local student life and cultural activities.
	? French language courses covered by the fellowship.

Potentially interested candidates should contact Alain Barrat (alain.barrat at cpt.univ-mrs.fr) and Demian Battaglia (demian.battaglia at univ-amu.fr), sending a CV and the name of two reference persons.
A formal application should then be filed on the website:

http://doc2amu.univ-amu.fr/en/temporal-networks-from-network-theory-to-brain-science

following the instructions therein.

DEADLINE FOR APPLICATION: April 10th, 2017 at midnight (CET time)
PRELIMINARY CANDIDATE SELECTION: May 2nd, 2017
ORAL INTERVIEWS: June 1st-2nd, 2017
STARTING DATE: October 1st, 2017
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From viviana.haase at ini.ruhr-uni-bochum.de  Thu Mar 16 05:54:24 2017
From: viviana.haase at ini.ruhr-uni-bochum.de (Viviana Haase)
Date: Thu, 16 Mar 2017 10:54:24 +0100
Subject: Connectionists: Research Explorer Ruhr program for early career
	researchers
Message-ID: <00c923c2-30cf-ac23-4f37-42ff823fe1da@ini.ruhr-uni-bochum.de>

Dear all,


if you are considering to do a postdoc in the field of *Computational 
Neuroscience* at the Ruhr University in Bochum, Germany, the following 
program might be of interest for you.

*The program: *Research Explorer Ruhr (RER) is a programme for 
international early career researchers (doctoral or early postdoctoral 
level), who are interested in exploring the research landscape in the 
Ruhr Area and Bochum in particular. If you consider doing a postdoc at 
Ruhr-Universit?t Bochum, but are not sure if it is the right fit for 
you, RER offers you the opportunity to come to Bochum for a 2-week stay 
to explore postdoctoral opportunities at an institute that fits your 
research profile.

*The host:* Prof. Dr. Sen Cheng from the Institute for Neural 
Computation is one of the hosts participating in the RER program. His 
group studies the cognitive and neural mechanisms of episodic memory and 
spatial navigation. Applications for a visit in Prof. Cheng's group via 
the RER program can be send *until 31 March 2017 latest* (extended 
deadline). If you wish to apply, please do so by filling out the form 
under: 
http://www.research-school.rub.de/fileadmin/media%20library/docs/Research_Explorer_Ruhr/Bewerbungsformular_Doktoranden_BLANCO.pdf 
and send it via email to the following adress: rsplus at rub.de

Further information about the program can be found under: 
http://www.research-school.rub.de/rer.0.html

Further information about Prof. Dr. Sen Cheng and his group can be found 
under http://www.research-school.rub.de/2787.0.html


If you have any further questions about the program please contact Mr. 
J?rn Benzinger from the Research School: Joern.Benzinger at uv.rub.de

If you have any further questions about the group for Computational 
Neuroscience please contact me: viviana.haase at rub.de


Yours sincerely,

Viviana Haase

-- 
Viviana Haase, M.A., M.A.
Science Manager

Ruhr-Universit?t Bochum
Institut f?r Neuroinformatik
Universit?tsstr. 150
44801 Bochum
NB 3/26
Phone: +49 (0) 234 -32 27316

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From shimon.whiteson at gmail.com  Thu Mar 16 06:58:01 2017
From: shimon.whiteson at gmail.com (Shimon Whiteson)
Date: Thu, 16 Mar 2017 10:58:01 +0000
Subject: Connectionists: Associate Professorship in Machine Learning at the
 University of Oxford
Message-ID: <CE7C24C0-5DA7-43D1-A929-A8941BD355CA@gmail.com>

Applications are invited for the post of Associate Professor (or Professor) of Machine Learning to be held in the Department of Computer Science with effect from 1 October 2017. The successful candidate will also be appointed as Fellow and Tutor in Computer Science at Christ Church College.

The salary for this post is offered on a scale from ?45,562 p.a. plus substantial additional benefits including free single accommodation in college, if available, or housing allowance of ?13,673 p.a., access to a shared equity scheme, private health insurance and an Official Studentship Allowance of ?1,000 p.a.  An allowance of ?2,655 p.a. would be payable upon award of Full Professor title

The Department of Computer Science is a vibrant and growing academic department, which has a research profile across the entire spectrum of contemporary computing. The Associate Professor?s research will focus on Machine Learning, and they will contribute to teaching on the Department?s highly successful undergraduate and graduate programmes. Oxford has a strong tradition in Machine Learning, with multiple active faculty members in the Computer Science, Information Engineering, and Statistics departments.

The Associate Professor will be a member of both the University and the College community. They will be part of a lively and intellectually stimulating research community which performs to the highest international levels in research and publications and will have access to the excellent research facilities which Oxford offers. They will have a role to play in the running of the College as a member of the Governing Body and a trustee of the College as a charity.

The successful candidate will hold a doctorate in Computer Science, or a related subject, will have the ability to teach across a range of computer science subjects, and will also have a proven research record of high quality at international level in the area of Machine Learning, and experience of research collaborations at both national and international level.  

The closing date for applications is 12.00 noon on 21 April 2017. Interviews will be held on 16 May 2017 ? please allow a full day for these.

For further details and to apply please visit: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=127945 <https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=127945>

-------------------------------------------------------
Shimon Whiteson | Associate Professor
Dept. of Computer Science | U. of Oxford
Room 407 | Wolfson Building
-------------------------------------------------------
Tutorial Fellow | St. Catherine?s College
Room 3 | Alan Bullock Building
-------------------------------------------------------
+44 (0) 1865 283 515 (dept. office)
+44 (0) 1865 281 574 (college office)
+44 (0) 7443 287 697 (mobile)
-------------------------------------------------------
shimon.whiteson at cs.ox.ac.uk 
www.cs.ox.ac.uk/people/shimon.whiteson
-------------------------------------------------------

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From likforman at telecom-paristech.fr  Thu Mar 16 08:06:08 2017
From: likforman at telecom-paristech.fr (Laurence Likforman)
Date: Thu, 16 Mar 2017 13:06:08 +0100
Subject: Connectionists: Open permanent position - Associate Professor in ML
 - Telecom ParisTech
In-Reply-To: <1190605094.41515806.1489495300657.JavaMail.zimbra@enst.fr>
References: <1190605094.41515806.1489495300657.JavaMail.zimbra@enst.fr>
Message-ID: <84159ccf-8bf3-c909-1038-4673c2d89631@telecom-paristech.fr>

Hi,
The group dedicated to Research in Machine Learning, Statistics & Signal
Processing (the research group S2A), within the Image, Data & Signal
department (the IDS Dpt.) and the Laboratoire Traitement et Communication
de l'Information (LTCI) is recruiting an Associate Professor in
Machine-Learning.

*Research:*

The research activities will rely on the team expertise, which covers both
theoretical and methodological works in Machine Learning, at the interface
of computational/mathematical statistics, stochastic modelling, time-series
analysis, signal processing and optimization.

Research results will be published in leading journals and conferences.
Activities in scientific bodies, organization of special sessions,
workshops as well as involvements in committees of scientific conferences
will contribute to the visibility.

The recruit is expected to ontribute to scientific projects with industrial
partners, around very challenging topics such as Predictive Maintenance,
involving the development of novel methods in various domains (i.e.
transfer learning, reinforcement learning, structured learning,
machine-learning with time-series, reliable machine-learning). This may be
possibly done by participating to industrial chair programs, bilateral
contracts, proposals to national and international research project calls
or by co-supervising PhD theses (including CIFRE theses, involving
industrial partners).

*Teaching: *

In the fields of Machine learning, teaching at Telecom ParisTech mainly
occurs at the level of bachelor or master courses (e.g. probability,
statistics, optimization), as well as in specialized training courses (e.g.
machine learning, nonparametric statistics). The master courses also
include courses in masters of the University Paris-Saclay. The members of
the S2A group are also involved in in a professional master of Telecom
ParisTech fully dedicated to Big Data (?Management and Analysis of Big
Data?) and in a novel certificate ? Data Scientist ?: they are in charge
of the statistics and machine-learning courses. The candidate will
participate to these teaching activities.

*Skills: *

? Education : PhD or equivalent
? An international postdoctoral experience is welcome but not
mandatory
? English: fluent; French: good or the candidate should be willing
to improve it

*Knowledge and experience required: *

? Research publications in Machine Learning
? Teaching experience at the university level


*Other Qualities and skills: *

? Capacity to work in a team and develop good relationships with
colleagues and peers
? Excellent writing and pedagogical skills


*Additional information:*

In the context of the Paris Saclay University, activities in stochastic
modeling and statistical data processing at the S2A group are part of the
Labex Hadamard (Mathematics and Applied Mathematics) and of the Labex
DigiCosme (Digital worlds: distributed data, programs and architectures).

*The position: *

? Permanent position
? Place of work: Paris until 2019, and then Palaiseau (Paris outskirt)
? For more info on being an Associate Professor at Telecom ParisTech (in
French)
http://www.telecom-paristech.fr/telecom-paristech/offres-emp
loi-stages-theses/recrute-enseignants-chercheurs.html


*Application:*

Application can be performed electronically by electronic mailing to

stephan.clemencon at telecom-paristech.fr , recrutement at telecom-paristech.fr

Application should include :
? A complete and detailed curriculum vitae
? A letter of motivation,
? A document detailing past activities of the candidate in Teaching
and Research: the two types of activities will be described with the same
level of detail and rigor.
? The text of the main publications,
? The names and addresses of two references,
? A short teaching project and a research project in connection with
some of the research topics of the S2A group (maximum 3 pages)

*Important dates: *

? April 7 , 2017 : application deadline

? May 2017 : interviews (possibly by visio-conference)

? Summer/Fall 2017: beginning

*Contact : *

Stephan Cl?men?on (Head of the S2A group)
stephan.clemencon at telecom-paristech.fr

Zahir Abela (Human Resources Officer)
zahir.abela at telecom-paristech.fr



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From k.schwarzwaelder at fz-juelich.de  Thu Mar 16 08:50:37 2017
From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder)
Date: Thu, 16 Mar 2017 13:50:37 +0100
Subject: Connectionists: Call for Workshops - Bernstein Conference 2017
In-Reply-To: <0cc1b19d-09ee-a46d-3525-e94f1a28ccce@fz-juelich.de>
References: <0cc1b19d-09ee-a46d-3525-e94f1a28ccce@fz-juelich.de>
Message-ID: <32df0549-b6fc-cf91-8b83-682e472f97e8@fz-juelich.de>


Deadline extended until March 29, 2017


The Bernstein Network Computational Neuroscience and the Bernstein Center G?ttingen
invite proposals for Satellite Workshops.
Satellite Workshops will directly precede the Bernstein Conference 2017 in G?ttingen.

**************************************************************
Important Dates:
Workshops: September 12 - 13, 2017
Main Bernstein Conference: September 13 - 15, 2017
Deadline for proposal submission: March 29, 2017
Notification of workshop acceptance: April 10, 2017

**************************************************************

Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical
research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields.
Workshops addressing controversial issues, open problems, and comparisons of competing approaches are
encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks.
The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience
and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years.

Workshop time frame:
September 12, 2017, 13:00 - 18:00
September 13, 2017,   9:00 - 12:30

Workshop proposals are welcome for either half-day or full-day workshops.

Workshop costs: NEW THIS YEAR ? FINANCIAL SUPPORT:
For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive
a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops
will be selected to each receive financial support of up to 1.500,00 ?.

For further information about the conference, please visit the conference website http://www.bernstein-conference.de<http://www.bernstein-conference.de/>.

INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION
Workshop proposals must contain:
1) Workshop Title
2) Concise description of workshop topic
3) List of potential speakers indicating speaker commitment

Please use the Workshop Proposal Form that can be downloaded here:
http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops

Deadline for submission of Workshop proposals: March 29, 2017

Accommodation and Hotel Reservation:
We strongly recommend early room booking.  The number of available accommodation is limited due to several
concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or
phone. Please follow the instructions at our Accommodations Web-site
(http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation).
We would like to emphasize that these room contingents will be held open up to different expiration dates depending
on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of
offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group.
Groups of three or four are possible if you book a suite.  The room contingent contains a set of suits and apartments.
We emphasize that it will be very difficult to book accommodation beyond the expiration dates.
Please find a list of the hotels  at our Accommodations Web-site.

CONTACT: contact at bccn-goettingen.de<mailto:contact at bccn-goettingen.de>

We are looking forward to seeing you in G?ttingen!
WORKSHOP SELECTION COMMITTEE:
Florentin W?rg?tter (Chair)
Marion Silies (co-Chair)
Christian Tetzlaff (co-Chair)
Matthias Bethge
Laura Busse
Claudia Clopath
Julia Fischer
Alexander Gail
Richard Hahnloser
Claus Hilgetag
Peter Jonas
Siegrid L?wel
Michael Platt
Viola Priesemann
Nicole Rust
Fred Wolf (Conference Chair)



--
Dr Zrinka Gattin
Bernstein Center for Computational Neuroscience (BCCN) Goettingen
Bernstein Focus Neurotechnology (BFNT) Goettingen
PhD Program in Theoretical and Computational Neuroscience
Am Fassberg 17
D-37077 Goettingen

Phone:    +49 (0)551 5176 418
Fax:      +49 (0)551 5176 14418
E-Mail:   zrinka at nld.ds.mpg.de<mailto:zrinka at nld.ds.mpg.de>


--

Dr. Kerstin Schwarzw?lder
Scientific Coordination / Management Officer

Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>

Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS)
Branch Office of the Forschungszentrum J?lich
at the University of Freiburg
Hansastr. 9A | 79104 Freiburg, Germany

phone:  (+49) 0761 203 9589
mail:   k.schwarzwaelder at fz-juelich.de<mailto:k.schwarzwaelder at fz-juelich.de>
web:    www.nncn.de<http://www.nncn.de>

Twitter:  NNCN_Germany<https://twitter.com/NNCN_Germany>
YouTube:  Bernstein TV<https://www.youtube.com/user/BernsteinNetwork>
Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/>
LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>
<https://www.linkedin.com/company/bernstein-network-computational-neuroscience-germany>





------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------

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From jhoey at cs.uwaterloo.ca  Fri Mar 17 09:54:14 2017
From: jhoey at cs.uwaterloo.ca (jesse hoey)
Date: Fri, 17 Mar 2017 09:54:14 -0400
Subject: Connectionists: Postdoctoral research fellowship in Artificial
	Intelligence
Message-ID: <CAE+b-0vKShrMhmh-Zd8R4-fSZy71frtn=OZw37V=eYCst7TNmA@mail.gmail.com>

POSTDOCTORAL RESEARCH POSITION IN ARTIFICIAL INTELLIGENCE
=========================================================
The Computational Health Informatics Laboratory (CHIL) in the David R.
Cheriton School of Computer Science at the University of Waterloo seeks
highly qualified postdoctoral researchers with strong background and
interest in building intelligent interactive systems. We are particularly
interested in candidates who have interests and a strong track record in
artificial intelligence and machine learning applied to human interactive
systems, health informatics, affective computing, decision theoretic
planning, or social computing. Candidates across all areas will be
considered.  The positions are fully funded for one year, with expected
renewals up to three years.

The successful candidates must have obtained a recent Ph.D. in computer
science, cognitive science, computer engineering, mathematics, or a related
field. Candidates with a Ph.D. in biomedical engineering, medicine,
psychology, or other clinical sciences will be considered if they have a
demonstrated ability for technical (e.g. mathematical or computational)
research, or if they fit exceptionally well within the scope of the
projects below. Successful candidates will be expected to work closely with
undergraduate, Master's and Ph.D. students.  Publication of significant
research in high quality venues will be a top priority for successful
candidates.  Start dates for the position are immediate.  Successful
candidates will receive a one-year contract, with expected extensions based
on performance to (at least) current funding timelines of three years.

Applicants should email the following to Jesse Hoey (jhoey at cs.uwaterloo.ca):

- a complete CV,
- a research statement (max two pages),
- country of citizenship and date of availability,
- names and contact information of three references.

Applications without all of elements above will not be considered.
Applications will be considered as they are received, and the call will
remain open until the positions are filled.

See http://www.cs.uwaterloo.ca/~jhoey/research/ for details on ongoing
projects. We are particularly interested in candidates whose work aligns
with the ACT at HOME (cs.uwaterloo.ca/~jhoey/research/act at home/), DIY-AIDE (
cs.uwaterloo.ca/~jhoey/research/diysmarthome/, an AGEWELL project, see
agewell-nce.ca), and BayesACT (bayesact.ca) projects.

-- 
--------

Jesse Hoey

Associate Professor (Health Informatics and AI)
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Waterloo, Ontario
N2L 3G1 CANADA
tel: +15198884567x37744
email: jhoey at cs.uwaterloo.ca

Follow AGE-WELL on Twitter: twitter.com/agewell_nce
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From marius.bilasco at univ-lille1.fr  Wed Mar 15 17:43:11 2017
From: marius.bilasco at univ-lille1.fr (Ioan Marius BILASCO)
Date: Wed, 15 Mar 2017 22:43:11 +0100
Subject: Connectionists: PhD opportunity in Lille (North of France) :
	Expression Recognition "in the wild"
Message-ID: <5FD121AC-B3EA-4727-9FDB-7885924F09E1@univ-lille1.fr>

The FOX research group (http://cristal.univ-lille1.fr/FOX <http://cristal.univ-lille1.fr/FOX>) of CRSItAL laboratory (http://www.cristal.univ-lille.fr <http://www.cristal.univ-lille.fr/>) (UMR CNRS 9189), France, is looking for a promising candidate to work on the field of Human Behavior Analysis  from video under unconstrained settings.

The recognition and prediction of people behaviour from videos are major concerns in the field of computer vision. A specific class of behavior analysis concerning facial expression recognition attracts lot of attention from researchers and industry in various fields.

State of the art solutions work fine in controlled environments were expressions are exaggerated and the head of the subject stay still, but as soon as the subject moves freely and expressions are natural, the performances of existing systems drop in an important manner. This observation is confirmed by performance evaluation conducted on new datasets (such as RECOLA, GEMEP) where the acquisitions conditions are similar to natural interaction settings.

We look for a PHD candidate in order to study and propose algorithms that analyze human behavior from video in unconstrained environments. 
http://sujets-these.lille.inria.fr/details.html?id=a1382de1c76647509ef9e25cc1fcf740 <http://sujets-these.lille.inria.fr/details.html?id=a1382de1c76647509ef9e25cc1fcf740>

== Required expertise

Strong preference will be given to candidates with experience in Computer Vision and Pattern Recognition and a good knowledge of written and oral English. Background in motion analysis field would be appreciated.

Applicants are expected to have a strong  background  in Computer  Science. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.


The thesis shall start October 1st in Lille.

Applications must be sent by email to Prof. Ch. Djeraba  (chabane.djeraba at univ-lille1.fr <mailto:chabane.djeraba at univ-lille1.fr>) and IM Bilasco (marius.bilasco at univ-lille1.fr <mailto:marius.bilasco at univ-lille1.fr> <mailto:marius.bilasco at univ-lille1.fr <mailto:marius.bilasco at univ-lille1.fr>>), Subject: [Phd Position].
They must contain a statement of interest, a CV, a list of publications, if any, and the names of two references.

Please contact the Prof. Ch. Djeraba <chabane.djeraba at univ-lille1.fr <mailto:chabane.djeraba at univ-lille1.fr>> and IM Bilasco (marius.bilasco at univ-lille1.fr <mailto:marius.bilasco at univ-lille1.fr> <mailto:marius.bilasco at univ-lille1.fr <mailto:marius.bilasco at univ-lille1.fr>>) for more informations.


?
Ioan Marius BILASCO 
MCF Univ Lille 1                            

Centre de Recherche en Image, Signal et Automatique (CRIStAL)
?quipe FOX - Groupe IMAGE
Bureau 336, B?t M3 Ext 
Cit? Scientifique
59650 Villeneuve d'Ascq Cedex - France   

mailto:2emePrenom.Nom at univ-lille1.fr <mailto:2emePrenom.Nom at lifl.fr>
http://www.cristal.univ-lille.fr/~bilasco <http://www.lifl.fr/~bilasco>
phone: (+33) (0)3 3 20 43 41 88 / 3 62 53 15 84
fax:   (+33) (0)3 28 77 85 37 

Trust in CNRS's certificates: http://igc.services.cnrs.fr/Doc/General/trust.html <http://igc.services.cnrs.fr/Doc/General/trust.html>

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From pierre-yves.oudeyer at inria.fr  Thu Mar 16 17:58:35 2017
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Thu, 16 Mar 2017 22:58:35 +0100
Subject: Connectionists: [journals] CfP: Frontiers Special Issue "Modeling
	Play in Early Infant Development"
Message-ID: <22ED4408-78AD-4082-A8D3-F62ACA0B47CA@inria.fr>


[Apologies for multiple postings of this announcement]

==========================================
Frontiers Special Issue:
Modeling Play in Early Infant Development
Call for Participation
==========================================

Webpage:
http://journal.frontiersin.org/researchtopic/5527/modeling-play-in-early-infant-development

Can we develop computers or robots that play and develop like children
or animals? Approaches to this question involves the elaboration and
study of computational models of infant play with the perspective of two
complementary disciplines. Firstly, developmental psychology benefits
from such models to formulate theories and conjectures of infant play
which can be tested and evaluated through experimental studies.
Secondly, the new field of developmental robotics looks toward infant
development for inspiration, data, and guidance, in order to build
models of learning that may be useful both for better understanding of
human development and for engineering autonomous learning in robots and
other systems.

The aim of this Frontiers Research Topic is to present international
state-of-the-art research from naturalistic or experimental infant
studies and computational/robot modelling, on early infant play
behaviour. The focus will be on the very earliest forms of play, because
this is concurrent with increasing perception and understanding of the
?physics of the world?, e.g. perceptions of objects, causality, and
interactions. Many interesting questions arise: for example:
- How does play emerge and what is its relation to motor babbling?
- How does play relate to object understanding and world knowledge?
- How does intrinsically motived self-generation of goals relate to
future extrinsically motivated goal generation and goal attribution?
- How far can the world be explored through the paradigm of play?
- How can we best understand more about infant cognition from
modelling these concepts on robots?

Within this inter-disciplinary framework, we would like to invite
authors to submit original research for topics including, but not
limited to:
- Computational modelling of relevant psychological experiments
- Experimental or theoretical studies of infant or animal development
- Early infant play behaviour
- Computational models of play behaviour
- Intrinsically motivated self-generation of goals
- Development of object understanding through play

Submission Deadlines:
14 April 2017 Abstract
13 October 2017 Manuscript

Contributing authors will have the following choice of journals to
submit their manuscript to, given the scope of their contribution:
- Frontiers in Neurorobotics
- Frontiers in Developmental Psychology

Editors
- Prof. Mark H. Lee, Aberystwyth University, Wales, UK
- Dr Patricia Shaw, Aberystwyth University, Wales, UK
- Dr Kathy Hirsh-Pasek, Temple University, Philadelphia, USA
- Dr Pierre-Yves Oudeyer, Institut national de recherche en
informatique et en automatique (INRIA), Talence, France
- Prof. Karen E. Adolph, New York University, New York, USA
- Prof. Qiang Shen, Aberystwyth University, Wales, UK
- Dr Jill Popp, Lego Foundation, Denmark

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From Jakob.Macke at caesar.de  Fri Mar 17 06:12:24 2017
From: Jakob.Macke at caesar.de (Jakob Macke)
Date: Fri, 17 Mar 2017 10:12:24 +0000
Subject: Connectionists: Cajal Course Computational Neuroscience: Deadline
	March 27
Message-ID: <1FE3CD7E-E8A1-4DF6-ADDC-7D831958DD4E@caesar.de>

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE
6-26 August 2017, Champalimaud Centre for the Unknown, Lisbon, Portugal

http://www.cccn.pt

We have extended the application deadline to 27 March 2017 (midnight, CET time).

DIRECTORS
? Gilles Laurent (MPI Brain Research, Frankfurt, Germany)
? Jakob Macke (Research Center Caesar, an associate of the Max Planck Society, Bonn, Germany)
? Christian Machens (Champalimaud Centre for the Unknown, Portugal) 

Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements.

This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. 

The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills.  A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available.

More information on the course website, http://www.ccn.pt

Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-Courses-2017/CCCN2017/

Contact address:
Simone Zacarias,  simone.zacarias at research.fchampalimaud.org


Faculty:
Alberto Bernacchia    University of Cambridge, UK
Claudia Clopath    Imperial College London, UK
Anne Collins    Helen Wills Neuroscience Institute, UC Berkeley, USA
Sophie Den?ve    Institut d'Etudes de la Cognition (IEC), France
Rainer Engelken    Max Planck, Goettingen, Germany
David Fitzpatrick    Max-Planck Florida Institute for Neuroscience, USA
Julijana Gjorgjieva    Max Planck Institute for Brain Research, Germany
Pedro J. Gon?alves   Research Center Caesar, Associate of Max Planck Society, Germany
Richard Hahnloser    Institute of Neuroinformatics, ETH Zurich, Switzerland
Michael H?usser    Wolfson Institute for Biomedical Research, University College London, UK
Andreas Herz    Bernstein Center for Computational Neuroscience Munich, Germany
Matthias Kaschube    Frankfurt Institute for Advanced studies, Germany
Simon Laughlin    University of Cambridge, UK
M?t? Lengyel  University of Cambridge, UK
Zhaoping Li    University College London, UK
Jennifer Linden    UCL Ear Institute, UK
Thomas Mrsic-Flogel    Sainsbury Wellcome Centre, University College London, UK
Joe Paton    Champalimaud Centre for the Unknown, Portugal
Astrid Prinz    Emory University, USA
Maneesh Sahani    Gatsby Computational Neuroscience Unit, UCL, UK
Thanos Siapas    Caltech, USA
Tatjana Tchumatchenko    Max Planck Institute for Brain Research, Germany
Andreas Tolias    Baylor College of Medicine, USA
Byron Yu    Carnegie Mellon University, USA









Jakob Macke
Max Planck Research Group Leader
Neural Systems Analysis
phone +49/228/9656170
fax +49/228/96569170
e-mail: jakob at caesar.de
www.mackelab.org

research center caesar
an associate of the Max Planck Society
Ludwig-Erhard-Allee 2
53175 Bonn, Germany
www.caesar.de

Bernstein Center for Computational Neuroscience
72076 T?bingen, Germany
www.bccn-tuebingen.de


From m.hausser at ucl.ac.uk  Thu Mar 16 12:35:13 2017
From: m.hausser at ucl.ac.uk (Hausser, Michael)
Date: Thu, 16 Mar 2017 16:35:13 +0000
Subject: Connectionists: Interacting with Neural Circuits Course (Lisbon,
	2 - 22 July, 2017)
Message-ID: <F620351D-43FF-47E1-A0D4-AE4EA9CD7AF1@ucl.ac.uk>


Dear Colleagues,

We would be grateful if you could draw the attention of your students and postdocs to a new course:

Interacting with Neural Circuits
2 - 22 July, 2017
Champalimaud Centre for the Unknown, Lisbon, Portugal

Course directors:
? Michael H?usser (University College London)
? Leopoldo Petreanu (Champalimaud Centre for the Unknown)
? Menno Witter (Kavli Institute for Systems Neuroscience)

This is a 3-week course which combines a lecture series featuring top speakers in the field with a practical ?hands-on? introduction to the latest optical, electrophysiological, molecular and anatomical methods for probing neural circuits. The aim is to first teach students the theoretical foundation of the techniques (weeks 1 and 2), and then provide them with sufficient practical experience (weeks 2 and 3) so that they will be able to establish these approaches when they return to their labs.

More information on the course website: https://sites.google.com/site/interactingneuralcircuits/

Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-Courses-2017/Interacting-with-neural-circuits/

Application deadline: 20 March 2017

Stipends are available.

Please forward this announcement to anybody who you think might be interested (with apologies for any duplication).

Best regards,

Michael




----------------------------------------------------------
Michael Hausser
Wolfson Institute for Biomedical Research
University College London
Gower Street
London WC1E 6BT
UK

tel +44-20-7679-6756
email m.hausser at ucl.ac.uk<mailto:m.hausser at ucl.ac.uk>
http://www.dendrites.org/

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From yang at maebashi-it.org  Fri Mar 17 07:19:23 2017
From: yang at maebashi-it.org (Yang)
Date: Fri, 17 Mar 2017 20:19:23 +0900
Subject: Connectionists: [Deadline Approaching] Brain Informatics 2017 -
	Call for Papers
Message-ID: <FAD3D2375C854444B2C9AB4B07553AC5@yangPC>

[Apologies if you receive this more than once]

CALL FOR PAPERS

The 2017 International Conference on Brain Informatics (BI'17)

THE 10TH ANNIVERSARY OF BRAIN INFORMATICS

November 16-18, 2017, Beijing, China

Homepage: http://bii.ia.ac.cn/bi-2017/ 

(FULL PAPER SUBMISSION DEADLINE: April 2, 2017)
==================================================
*** KEYNOTE SPEAKERS ***

  Alan Evans (McGill University, Canada)
  Tom Mitchell (Carnegie Mellon University, US)

  Yanchao Bi (Beijing Normal University, China)
  Adam Ferguson (University of California San Francisco, US)
  Bin Hu (Lanzhou University, China)
  Michael  Hawrylycz (Allen Institute for Brain Science, US)
  Dinggang Shen (University of North Carolina at Chapel Hill, US)

==================================================
Brain Informatics (BI) conference series provides a premier forum to
bring together researchers and practitioners in the fields of
neuroscience, cognitive science, computer science, data science,
artificial intelligence, information communication technologies, and
neuroimaging technologies.

BI'17 addresses the computational, cognitive, physiological,
biological, physical, ecological and social perspectives of brain
informatics, as well as topics relating to mental health and
well-being. It also welcomes emerging information technologies,
including but not limited to Internet/Web of Things (IoT/WoT), cloud
computing, big data analytics and interactive knowledge discovery
related to brain research. BI'17 also encourages submissions that
explore how advanced computing technologies are applied to and make a
difference in various large-scale brain studies and their
applications.

BI'17 welcomes paper submissions (full paper and abstract
submissions). Both research and application papers are solicited.  All
submitted papers will be reviewed on the basis of technical quality,
relevance, significance and clarity. Accepted full papers will be
included in the proceedings by Springer LNCS/LNAI.

Workshop, Special-Session and Tutorial proposals, and
Industry/Demo-Track papers are also welcome.  The organizers of
Workshops and Special-Sessions are invited to prepare a book proposal
based on the topics of the workshop/special session for possible book
publication in the Springer-Nature Brain Informatics & Health book
series.

*** Topics and Areas ***

Track 1: Cognitive and Computational Foundations of Brain Science
Track 2: Investigations of Human Information Processing Systems
Track 3: Brain Big Data Analytics, Curation and Management
Track 4: Informatics Paradigms for Brain and Mental Health
Track 5: Brain-Inspired Intelligence and Computing

IMPORTANT DATES:        
================
April 2, 2017: Submission deadline for full papers
April 10, 2017: Submission for workshop/special-session proposals
April 30, 2017: Notification of workshop/special-session proposal acceptance
May 20, 2017: Submission deadline for workshop/special-session papers
June 10, 2017: Notification of full paper acceptance
June 20, 2017: Notification of workshop/special-session paper acceptance
June 20, 2017: Submission deadline for abstracts
July 10, 2017: Notification of abstract acceptance
November 16, 2017: Tutorials, workshops and special-sessions
November 17-18, 2017: Main conference

PAPER SUBMISSIONS & PUBLICATIONS:
=================================

TYPE-I (Full Paper Submissions; Submission Deadline: April 2, 2017):

Papers need to have up to 10 pages in LNCS format:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full
length papers accepted (and all special sessions' full length papers)
will be published by Springer as a volume of the series of LNCS/LNAI.

TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017):

Abstracts have a word limit of 500 words. Experimental research is
particularly welcome. Accepted abstract submissions will be included
in the conference program, and will be published as a single,
collective proceedings volume.

Title: Include in the title of the abstract all words critical for a
subject index. Write your title in sentence case (first letter is
capitalized; remaining letters are lower case). Do not bold or
italicize your full title.

Author: List all authors who contributed to the work discussed in the
abstract. The presenting author must be listed in the first author
slot of the list. Be prepared to submit contact information as well as
conflict of interest information for each author listed.

Abstract: Enter the body of the abstract and attach any applicable
graphic files or tables here. Do not re-enter the title, author,
support, or other information that is collected in other steps of the
submission form.

Presentation Preference: Authors may select from three presentation
formats when submitting an abstract: "poster only", "talk preferred"
or "no preference." The "talk preferred" selection indicates that you
would like to give a talk, but will accept a poster format if
necessary. Marking "poster only" indicates that you would not like to
be considered for an oral-presentation session. Selecting "no
preference" indicates the author's willingness to be placed in the
best format for the program.

Each paper or abstract requires one sponsoring attendee (i.e. someone
who registered and is attending the conference).  A single attendee
can not sponsor more than two abstracts or papers.

Oral presentations will be selected from both full length papers and
abstracts.

*** Post-Conference Journal Publication ***

The Brain Informatics conferences have the formal ties with Brain
Informatics journal (Springer-Nature,
http://www.springer.com/40708). Accepted papers from the conference,
including their Best Paper Award papers, will be expended and revised
for possible inclusion in the Brain Informatics journal each year.  It
is fully sponsored and no any article-processing fee charged for
authors of Brain Informatics conference.

*** Awards ***

Best Paper awards will be conferred at the conference on the authors 
of (1) the best research paper and (2) the best student paper. 

ORGANIZERS
==========

General Chairs

Bo Xu (Chinese Academy of Sciences, China)
Hanchuan Peng (Allen Institute for Brain Sciences, USA)
Qingming Luo (Huazhong University of Science and Technology, China)

Program Committee Chairs

Yi Zeng    (Chinese Academy of Sciences, China)
Yong He    (Beijing Normal University, China)
Jeanette Kotaleski (Karolinska Institute, Sweden)
Maryann Martone (University of California, San Diego, USA)

Organizing Chairs

Ning Zhong (Maebashi Institute of Technology, Japan, and
     Beijing Advanced Innovation Center for Future Internet Technology,
     Beijing University of Technology, China
Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology,
     Beijing University of Technology, China)
Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology,
     Beijing University of Technology, China)

Workshop/Special-Session Chairs

An'an Li (Huazhong University of Science and Technology, China)
Sen Song (Tsinghua University, China)

Tutorial Chair

Wenming Zheng (South East University, China)

Publicity Chairs

Tielin Zhang (Chinese Academy of Sciences, China)
Shouyi Wang (University of Texas at Arlington, USA)
Yang Yang (Maebashi Institute of Technology, Japan, and
       Beijing Advanced Innovation Center for Future Internet Technology,
       Beijing University of Technology, China)

Steering Committee Chairs

Ning Zhong (Maebashi Institute of Technology, Japan)
Hanchuan Peng (Allen Institute for Brain Science, USA)

*** Contact Information ***

tielin.zhang at ia.ac.cn
shouyiw at uta.edu
yang at maebashi-it.org
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From asdm at fi.upm.es  Thu Mar 16 13:20:26 2017
From: asdm at fi.upm.es (asdm at fi.upm.es)
Date: Thu, 16 Mar 2017 18:20:26 +0100 (CET)
Subject: Connectionists: Twelfth Madrid UPM Advanced Statistics and Data
 Mining Summer School (June 26th - July 7th, 2017)
Message-ID: <488970385.1.1489684826131.JavaMail.bmihaljevic@morelia>

Dear colleagues,

The Technical University of Madrid (UPM) will once more organize the 'Madrid UPM Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 26th to July 7th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.

INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at http://bit.ly/1TweJjj

Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/ASDM

There is a 25% discount for members of Spanish AEPIA and SEIO societies.  

Please, forward this information to your colleagues, students, and whoever you think may find it interesting.

Best regards,

Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Alberto Ogbechie.
-- School coordinators.

*** List of courses and brief description ***

* Week 1 (June 26th - June 30th, 2017) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
      Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R.

Course 2: Time Series(15 h)
      Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.

2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
      Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. 

Course 4: Bayesian Inference (15 h)
      Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
      Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks.

Course 6: Unsupervised Pattern Recognition (15 h)
      Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R.


* Week 2 (July 3rd - July 7th, 2017) *

1st session: 9:45-12:45
Course 7: Statistical Inference (15 h)
      Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.

Course 8: Big Data with Apache Spark (15 h)
      Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. 

2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
      Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks.

Course 10: Feature Subset Selection (15 h)
      Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.      
      
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
      Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks.
      
Course 12: Hidden Markov Models (15 h)
      Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

If you wish to stop receiving emails regarding the Madrid UPM Advanced Statistics and Data Mining summer school, please reply to this email with the title STOP.

From frank.ritter at psu.edu  Thu Mar 16 16:29:31 2017
From: frank.ritter at psu.edu (Frank Ritter)
Date: Thu, 16 Mar 2017 16:29:31 -0400
Subject: Connectionists: ICCM17: call (due 1apr), confs, software, SIs, books,
	jobs
Message-ID: <p06240846d4efca09f57a@[192.168.1.11]>

[please forward to your list members]

The ICCM 2017 announcements drive this email (it will be in Warwick,
England, 22-25 July 2017, hope you can come!).

Quick note: I have edited most of these because they are too long. Also,
I don't think the use of external sites to host job applications is
appropriate, so I tend to report these last.

If you would like to be removed, please just let me know. I maintain
it by hand to keep it small. This was delayed by work, a broken
laptop, and Comcast.

[Hypertext version available at
http://acs.ist.psu.edu/iccm2017/iccm-mailing-mar2017]

****************  Table of Contents ****************
CONFERENCES
1.   ICCM,  July 2017, due 15 Mar 2017 [extended to 1 April, no kidding]
     http://mathpsych.org/conferences/2017/

2.  MathPsych Conference, due 15 mar 17 [also extended to 1 apr]
     http://mathpsych.org/conferences/2017/

3.  BICA 2017 and Fierces on BICA 2017, 1-6 Aug 2017, due 14 Apr
     http://bicasociety.org/meetings/

4.  ICCM 2016 Special Issue on Memory Models published
     http://onlinelibrary.wiley.com/doi/10.1111/tops.2017.9.issue-1/issuetoc

5. SBP-BRiMS 2017 conference, 5-8 Jul
     http://sbp-brims.org

6.  Soar article updated in Wikipedia
    https://en.wikipedia.org/wiki/Soar_%28cognitive_architecture%29

7. Interdisciplinary College (spring school), Germany, 10-17 Mar 2017
    http://www.interdisciplinary-college.de/

8.  OUP's Cognitive Engineering book is online

9.  Groningen Spring School on Cognitive Modeling
    ACT-R, Nengo, PRIMs, & Accumulator Models
    http://www.ai.rug.nl/springschool

10. Symposium on Computational Modelling of Emotion: Theory and Applications
    http://www.cs.bham.ac.uk/~ddp/aisb17cme/

11. Advances in Cognitive Systems conference
    http://www.cogsys.org/conference/2017

12. Nengo Summer School, 4-16  June 2017, U of Waterloo, Ontario, CA
   http://www.nengo.ca/summerschool

13. HILDA 2017 Call for Papers (Deadline Extension to 10 mar)
    http://hilda.io/

14. 13th International Naturalistic Decision Making conference
    20-23 Jun 2017, Bath, England


SOFTWARE AND OTHER RESOURCES
15.  Little AI, free game on iTunes
     http://little-ai.com/

16.  Game to learn how to use the terminal
    http://www.mprat.org/Terminus/

17.  Article: Net neutrality is good for people and business.
https://www.wired.com/2017/01/dont-gut-net-neutrality-good-people-business


SPECIAL ISSUES AND JOURNAL CALLS
18. Frontiers in Psychology
    Section on Cognitive Science

19.  SI: What Does It Take for an Artificial Agent to Be Constructivist?
    http://constructivist.info/special/agents

20.  Human Factors: The Journal of the HF and Ergonomics Society
    http://mc.manuscriptcentral.com/humanfactors


BOOKS
21. ICCM 2016 has an ISBN now, and revised proceedings available

22.  Understanding Higher Cognition (book)
    http://understandinghighercognition.com/

JOBS, SENIOR TO JUNIOR
23.  Research Dean, IST at PSU
    http://ist.psu.edu

24.  Full Professor of Communication Science and Artificial Intelligence
    Radboud U Nijmegen (application deadline 15 Mar 2017)
    http://www.ru.nl/werken/details/details_vacature_0/?recid=593259

25.  Tenure-Track Faculty Openings, Industrial Engineering &
    Management, National Chiao Tung U, Hsinchu, Taiwan

26.  Ass. / Assoc / Full Professor in Robotics, Tufts, Medford, MA

27.  Software Engineer for cognitive models, AFRL
    http://jobs.leidos.com/ShowJob/Id/989233/Software-Engineer/

28. Open Postdoctoral fellowship
    Dept. de Matemtiques i Informtica at Universitat de Barcelona

29.  2 postdocs in HCI at PSU

30.  2 postdocs in Cogsci at PSU

31.  Cognitive Scientist
    https://www.cra.com/careers/job-listings?gh_jid=539284

32.  Computational Cog Scientist
    https://jobs.wright.edu/postings/11106

33.  Summer 2017 Research for Undergraduates in HCI at CMU
   http://www.hcii.cmu.edu/reu-summer-2017

34.  Postdoc at GIT in NASA mission planning

****************************************************************
1.   ICCM,  July 2017, due 1 Apr 2017 [extended deadline]
    http://mathpsych.org/conferences/2017/

22-25 July 2017, U. of Warwick, due 15 Mar 2017

http://www.warwickconferences.com/venues (Scarman conference center)

ICCM will take place from 22-25 July in Warwick, UK. The co-chairs
for this meeting are Adrian Banks, Marieke van Vugt, and Adam
Sanborn. This year, ICCM will be joined with the Society for
Mathematical Psychology conference. This means that keynotes,
symposia, and registration will be combined, but submissions will be
handled separately. Submissions will be due on 15 Mar 2017. There
will be four types of submissions:

  - regular ICCM 6-page papers for the ICCM track
  - abstracts for talks in the Society for Mathematical Psychology
     track
  - posters for joint poster sessions with the Society for
     Mathematical Psychology
  - tutorials

Notifications of acceptance will be sent around 1 May 2017.
http://acs.ist.psu.edu/iccm2016/iccm-2017-information/

We would like to invite you to the 15th International Conference on
Cognitive Modeling (ICCM): the premier conference for research on
computational models and computation-based theories of human
cognition.  This year, ICCM has joined forces with the Society for
Mathematical Psychology and the European Mathematical Psychology Group
2017 meeting to create a conference in which all sessions are open to
all attendees, and cross-talk is highly encouraged.

MathPsych/ICCM 2017 is a forum for presenting and discussing the
complete spectrum of cognitive modeling approaches, including
connectionism, symbolic modeling, dynamical systems, Bayesian
modeling, and cognitive architectures. Research topics can range from
low-level perception to high-level reasoning. We also welcome
contributions that use computational models to better understand
neuroscientific data.

We are pleased to announce three world-class invited speakers: Peter
Dayan (U College London), Randy Gallistel (Rutgers), Joe Houpt (Wright
State, Estes Early Career Award winner).

We will also have four invited symposia:

  - Using Cognitive Models to Inform Neuroimaging Data (And Vice
     Versa!). Organizer: Jelmer Borst
  - Models of Decision from Experience. Organizer: Ido Erev
  - Bridging Levels of Analysis with Rational Process Models: Tom
     Griffiths and Adam Sanborn
  - Advances in Distributional Models of Language and Meaning: John
     Willits and Melody Dye

We have separate submissions for the MathPsych parallel tracks and the
ICCM single-track. For MathPsych, submissions are brief abstracts to
be considered for both talks and posters. For ICCM submissions are
6-page full papers to be considered for talks, and 2-page poster
abstracts. We are working with topiCS to create a special issue based
on the best full ICCM papers. Submissions may be made by researchers,
faculty, post-docs, graduate students and undergraduate students. Any
one person may present only one paper, but may also be a co-author of
other papers (this rule applies across the two conferences, i.e., when
you are presenting author of a MathPsych paper, you cannot also be a
presenting author of an ICCM paper). We also welcome pre-conference
workshop/tutorial submissions that are not specific to MathPsych or
ICCM. All types of submissions are due on 15 Mar 11.59 pm CEST [5.59EST].

More information can be found on our website:
http://mathpsych.org/conferences/2017/

Note that early-bird registration will be ??200 (faculty) and ??100
(students) and includes lunch. Limited hotel accommodation will be
available on-site for a fee of ??100/night (including breakfast and
dinner). Conference hotel accommodation can only be booked through the
conference website during registration. Registration will open on
March 1st.

We hope to see you in Warwick!

Marieke van Vugt, Adrian Banks, Bill Kennedy (ICCM co-chairs)

Adam Sanborn, Gordon Brown, James Adelman (MathPsych co-chairs)

****************************************************************
2.  MathPsych Conference, due 15 mar 17 [also extended to 1 Apr]
    http://mathpsych.org/conferences/2017/

The 50th Annual Meeting of the Society for Mathematical Psychology,
the European Mathematical Psychology Group, and the 15th Annual
Meeting of the International Conference on Cognitive Modelling will
meet jointly at the U of Warwick, UK from July 22-25.

The local hosts are Adam Sanborn, Gordon Brown, and James Adelman of
the U of Warwick, and the ICCM chairs are Marieke van Vugt of the U of
Groningen, Adrian Banks of the U of Surrey, and William Kennedy of
George Mason.

The goal of the conference is to bring researchers together who are
interested in using computational and mathematical modeling to better
understand human cognition. It is a forum for presenting, discussing,
and evaluating the complete spectrum of cognitive modeling approaches,
including mathematical models, connectionism, symbolic modeling,
dynamical systems, Bayesian modeling, and cognitive architectures. We
welcome basic and applied research across a wide variety of domains,
ranging from low-level perception and attention to higher-level
problem-solving and learning. We also welcome contributions that use
computational models to better understand neuroimaging data.

Before the main conference, the Professional Development Symposium
hosted by the Women of MathPsych will be held on 22  Jul.

Also before the main conference, the computational tools for
developing and testing quantum models of cognition workshop will be
held on 21 July. Details can be found here:
http://mypage.iu.edu/~jbusemey/quantum/2017QuantumCognitionWorkshop.pdf

****************************************************************
3.  BICA 2017 and Fierces on BICA 2017, 1-6 Aug 2017, due 14 Apr
    http://bicasociety.org/meetings/

I am happy to announce that BICA 2017 and Fierces on BICA 2017 will be
held in Moscow 1-6 Aug 2017.

-Alexei Samsonovich
Greetings!

We are delighted to invite you to submit your research articles to the
Eighth International Conference on Biologically Inspired Cognitive
Architectures ,Ai BICA 2017, organized by BICA Society co-located with the
   school "Fierces on BICA 2017". Please forward this document to your
   colleagues / researchers / students in order to promote the conference
   and your school.

As every year, BICA 2017 is going to provide exceptional opportunities
for scientific encounters and exchange of ideas in the cognitive and
neuro-sciences and in artificial intelligence, as well as being a
delightful event.

== OFFICIAL WEBLINK:

http://bica2017.bicasociety.org/. Please take the time to explore the
website for more details, check on the current important dates, and
keep yourself up to date on recent changes.

== CONFERENCE VENUE:
Baltschug Kempinski hotel in Moscow, Russia
(https://www.kempinski.com/en/moscow/hotel-baltschug/).

== IMPORTANT DATES:
* Abstract registration via EasyChair deadline: March 1
* All kinds of submissions (all venues via EasyChair ) due: March 13, 
now 14 Apr
* Acceptance and Reviewer feedback: on or before March 29
* Early-bird registration deadline: April 1
* Camera-ready Submission and Author Registration Deadline: April 21
* Conference Dates: August 1,Ai6 (FIERCES: 1-3, Conference: 3-5, Excursions: 6)

Topics of the conference broadly cover the fields of cognitive
science, neuroscience and artificial intelligence. Example questions
to be addressed are: Can deep learning models explain the emergence of
higher conceptual representations in the brain? What kind of autonomy
do we need for robots? How can we capture the human emotionality with
an elegant mathematical equation? Many more topics are welcome; the
spotlight will be determined by your submissions (you can also
participate or give a talk without a paper). Among the speakers we
shall see David Aha, Frank Ritter, Mike Sellers, Paul Verschure, David
Vernon, Konstantin Anokhin, and many others.

== PUBLICATION VENUES:

* A special volume of Elsevier,
    Procedia Computer Science indexed by Web of Science and Scopus

* A Springer book "Biologically Inspired Cognitive Architectures
  (BICA) for young scientists: Proceedings of the Second International
  Early Research Career Enhancement School (FIERCES 2017)" indexed by Scopus

* The BICA Journal, an Elsevier journal indexed in Web of Science and Scopus

We are looking forward to seeing you at this memorable event in Moscow,
-- Alexei Samsonovich and Valentin V. Klimov, Organizing Committee Chairs

P.S. Apologies for duplicates. Please reply if you do not want to
participate in the BICA mailing list.

****************************************************************
4.  ICCM 2016 Special Issue on Memory Models published
     http://onlinelibrary.wiley.com/doi/10.1111/tops.2017.9.issue-1/issuetoc

Introduction to the Issue on Computational Models of Memory: Selected
papers from the international Conference on Cognitive Modeling
Reitter & Ritter
http://onlinelibrary.wiley.com/doi/10.1111/tops.12249/epdf

Encoding and accessing linguistic representations in a dynamically
structured holographic memory system
Parker & Lantz
http://onlinelibrary.wiley.com/doi/10.1111/tops.12246/epdf

An account of interference in associative memory: Learning the fan
effect
Thomson, Harrison, Trafton & Hiatt
http://onlinelibrary.wiley.com/doi/10.1111/tops.12244/epdf

Visual working memory resources are best characterized as dynamic,
quantifiable mnemonic traces
Veksler, Boyd, Myers, Gunzelmann, Neth & Gray
http://onlinelibrary.wiley.com/doi/10.1111/tops.12248/epdf

Towards modeling false memory with computational knowledge bases
Li & Kohanyi
http://onlinelibrary.wiley.com/doi/10.1111/tops.12245/epdf

The effects of guanfacine and phenylephrine on a spiking neuron model
of Working Memory
Duggins, Stewart, Choo, & Eliasmith
http://onlinelibrary.wiley.com/doi/10.1111/tops.12247/epdf

****************************************************************
5. SBP-BRiMS 2017 conference, 5-8 Jul
     http://sbp-brims.org

2017 International Conference on Social Computing,
Behavioral-Cultural Modeling & Prediction and Behavior
Representation in Modeling and Simulation (SBP-BRiMS)

5 Jul (Wed) to 8 (Sat) Jul 2017, Lehman Auditorium, George Washington
U, Washington DC

All papers are qualified for the Best Paper Award. Papers with student
first authors will be considered for the Best Student Paper
Award. Those receiving these awards will be invited to publish an
extended version in a special issue of the journal Computational and
Mathematical Organization Theory.

IMPORTANT DATES:
Regular Paper Abstract Submission: 22 Feb (Wed) 2017
Regular Paper Submission: 1 Mar (Wed) 2017
Author Notification: 24 Mar (Fri) 2017
Final Version Submission: 7 Apr (Fri) 2017

Note, all regular papers will be evaluated for: presentation in
plenary, presentation in regular session, presentation as poster, or
no presentation.  All accepted papers will be published in the
physical proceedings ,Ai the Springer LNCS volume.  This volume is
considered archival.

Challenge Problem Submission: 12 May (Fri) 2017
Those submitting a response to the challenge are to submit a poster
and a short paper by this date. All accepted papers will be published
in the online proceedings only and will not be included in the
Springer LNCS volume.  The online proceedings is not considered
archival.

Posters & Demos Short Paper Submission: 12 May (Fri) 2017

This short paper submission is intended for late breaking results,
technology demos, and those papers from industry, government or the
military where constraints prevent the authors from writing a full
paper. All short papers (including those describing demos) will be
evaluated for: presentation as a poster, or no presentation. All
accepted papers will be published in the online proceedings only and
will not be included in the Springer LNCS volume.  The online
proceedings is not considered archival.

Tutorial Proposal Submission: 10 Mar (Fri) 2017

Conference      5 to 8 July (Wed-Sat) 2017,
                                             including the following:
Pre-conference Tutorial Sessions:  10  Jul 2017 (first day conference)
Poster Session    : At Conference Poster Night
Technology Demos : Lunch times & Poster Night
Challenge Problem Evaluation : At Conference Poster Night

ABOUT SBP-BRiMS:
SBP-BRiMS is a multidisciplinary conference with a selective single paper
track and poster session. The conference also invites a small number of
high quality tutorials and nationally recognized keynote speakers. The
conference has grown out of two related meetings: SBP and BRiMS, which
were co-located in previous years.

Social computing harnesses the power of computational methods to study
social behavior, such as during team collaboration. Cultural
behavioral modeling refers to representing behavior and culture in the
abstract, and is a convenient and powerful way to conduct virtual
experiments and scenario analysis. Both social computing and cultural
behavioral modeling are techniques designed to achieve a better
understanding of complex behaviors, patterns, and associated outcomes
of interest. Moreover, these approaches are inherently
interdisciplinary; subsystems and system components exist at multiple
levels of analysis (i.e., cells to societies) and across multiple
disciplines, from engineering and the computational sciences to the
social and health sciences.

The SBP-BRiMS conference invites modeling and simulation papers from
academics, research scientists, technical communities and defense
researchers across traditional disciplines to share ideas, discuss
research results, identify capability gaps, highlight promising
technologies, and showcase the state-of-the-art in applications in the
areas of cultural behavioral modeling, prediction, and social
computing.

Please see the SBP-BRiMS17 website for more details. Keynotes and
tutorials delivered in the previous SBP and BRiMS meetings are available
http://sbp-brims.org and http://cc.ist.psu.edu/BRIMS2015/ .

CALL FOR PAPERS
Submissions are solicited on research issues, theories, and applications.
Topics of interests include the following: [see list at conf web site]

* Advances in Sociocultural & Behavioral Processes
* Behavior Modeling
* Methodological Challenges
* Information, Systems, & Network Science
* Military & Intelligence Applications
* Applications for Health and Well-being
* Other Applications

FORMAT AND SUBMISSION
The conference solicits three categories of papers:
Regular papers (max. 10 pages)
All topics and authors (academic, government, industry) welcome
Published in a Springer volume and online. Plenary or poster presentation.

Short papers and Late-breaking results (max. 6 pages)
All topics and authors welcome.
Published online. Typically a poster presentation.

Demos (2-page abstract, or max. 6 pages)
Published online. Typically a poster or demo presentation.

Paper Formatting Guideline
The papers must be in English and MUST be formatted according to the
Springer-Verlag LNCS/LNAI guidelines on the web site.

All regular paper submissions should be submitted as a paper with a
maximum of 10 pages using the format.  All submissions for
posters, demo-presentations, challenge problem entries and late breaking
results should be submitted as a paper with a maximum of 6 pages using
the same format as the regular papers. All accepted entries will be posted
on the SBP-BRiMS 2017 website.

A selection of authors will be invited to contribute journal versions of
their papers to one of two planned special issues of the Springer journal
Computational and Mathematical Organization Theory, and another high-
profile journal.

The submission website will be available at:
https://easychair.org/conferences/?conf=sbpbrims2017. To register a
paper abstract, use the standard Easychair submission website and
submit your title and abstract. Until the final paper deadline, you will be
able to update your submission.

PUBLICATION
For any questions and inquiries concerning submissions, please email the
program chairs at sbpbrims2017 at gmail.com.

PRE-CONFERENCE TUTORIAL SESSIONS
Several half-day sessions will be offered on the day before the full
conference. Sessions will be designed to meet the needs of one of two
distinct groups. One group will consist of attendees who have backgrounds
in computational science; computer science, engineering, and other
mathematically oriented disciplines. Other tutorial sessions will be
designed for behavioral and social scientists and others (e.g., those with
medical backgrounds or training in public health) who may have limited
formal education in the computational sciences. Attendees will gain an
understanding of terminology, theories, and general approaches employed
by computationally based fields, especially with respect to modeling
approaches.

Tutorial proposal submission: Tutorial proposals should be submitted
online to sbpbrims at andrew.cmu.edu.

At minimum, each proposal must contain the following information:
* Title of the tutorial.
* Description of the tutorial topic and structure.
* Expected audience (including the expected backgrounds of the
   attendees).
* Short bio and contact information of the organizers.

More details regarding the pre-conference tutorial sessions, including
instructors, course content, and registration information will be
posted to the conference website (SBP-BRiMS.org) as soon as this
information becomes available. For further information, please contact
sbpbrims at andrew.cmu.edu.

CHALLENGE
The conference expects to announce a computational challenge as in
previous years. Additional details will be posted on the conference
website.

FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES
Previous SBP-BRiMS conferences have included a Cross-fertilization
Roundtable session or a Funding Panel. The purpose of the cross-
fertilization roundtables is to help participants become better acquainted
with people outside of their discipline and with whom they might consider
partnering on future SBP-BRiMS-related research collaborations. The
Funding Panel provides an opportunity for conference participants to
interact with program managers from various federal funding agencies.
Participants for the previous funding panels have included representatives
from federal agencies, such as the NSF, NIH, DoD, ONR, AFOSR, USDA,
etc.

BEST PAPER AWARDS
SBP-BRiMS17 will feature a Best Paper Award and a Best Student Paper
Award. All papers are qualified for the Best Paper Award. Papers with
student first authors will be considered for the Best Student Paper Award.

HOTEL AND LOGISTICS
Information on hotel and logistics will be provided at the conference
website as it becomes available.

TRAVEL SCHOLARSHIPS
It is anticipated that a limited number travel scholarships will be available
on a competitive basis. Additional information will be provided on the SBP-
BRiMS Conference website as it becomes available.

****************************************************************
6.  Soar article updated in Wikipedia
    https://en.wikipedia.org/wiki/Soar_%28cognitive_architecture%29

(From John Laird)
We just updated (and significantly expanded) the entry for Soar on
Wikipedia. Check it out and feel free to add material.

****************************************************************
7. Interdisciplinary College (spring school), Germany, 10-17 Mar 2017
    http://www.interdisciplinary-college.de/

This is a type of spring (summer) school that appears to be related to
the Bulgarian Cognitive Science Summer School and the Germany Spring
School in Cognitive Science.

****************************************************************
8.  OUP's Cognitive Engineering book is online

The OUP Cognitive Engineering handbook is online (in Oxford Online,
which many universities have), if you have any interest you of course
have the option of structuring a course around it. I found it to be
hugely convenient for course design, prep, and delivery, and it makes
it convenient (and free [when oxford online is available) for the
students as well. Example use:
https://courses.engr.illinois.edu/cs598ak/

[I note that this is part of a trend, Sage, OUP, and Springer all now
have extensive material including teaching material online through
their paid portals available through your university library.]

****************************************************************
9.  Groningen Spring School on Cognitive Modeling
    ACT-R, Nengo, PRIMs, & Accumulator Models
    http://www.ai.rug.nl/springschool

3-7 Apr 2017
Location: Groningen, the Netherlands
Fee: E250 (late fee E50 after 15 Feb)

We would like to invite you to the 2017 Groningen Spring School on
Cognitive Modeling. As last year, the Spring School will cover four
different modeling paradigms: ACT-R, Nengo, PRIMs, and Accumulator
models. It thereby offers a unique opportunity to learn the relative
strengths and weaknesses of these approaches. Each day will consist of
four theory lectures, one on each paradigm. Each modeling paradigm
also includes hands-on assignments. Although students are free to
chose the number of lectures they attend, we recommend you to sign up
for lectures on two of the modeling paradigms, and complete the
tutorial units for one of the paradigms. At the end of each day there
will be a plenary research talk, to show how these different
approaches to modeling are applied.  The Spring School will be
concluded with a keynote lecture and a conference dinner. We are
excited to announce that Sander Bohte has accepted our invitation and
will be the keynote speaker.

Admission is limited, so register soon!

Please feel free to forward this email to others who might be
interested!

ACT-R
Jelmer Borst, Hedderik van Rijn, & Katja Mehlhorn (U of Groningen)
http://act-r.psy.cmu.edu

ACT-R is a high-level cognitive theory and simulation system for
developing cognitive models for tasks that vary from simple reaction
time experiments to driving a car, learning algebra, and air traffic
control. ACT-R can be used to develop process models of a task at a
symbolic level. Participants will follow a compressed five-day version
of the traditional summer school curriculum. We will also cover the
connection between ACT-R and fMRI.

Nengo
Terry Stewart (U of Waterloo)
http://www.nengo.ca

Nengo is a toolkit for converting high-level cognitive theories into
low-level spiking neuron implementations. In this way, aspects of
model performance such as response accuracy and reaction times emerge
as a consequence of neural parameters such as the neurotransmitter
time constants. It has been used to model adaptive motor control,
visual attention, serial list memory, reinforcement learning, Tower of
Hanoi, and fluid intelligence. Participants will learn to construct
these kinds of models, starting with generic tasks like representing
values and positions, and ending with full production-like
systems. There will also be special emphasis on extracting various
forms of data out of a model, such that it can be compared to
experimental data.

PRIMs
Niels Taatgen (U of Groningen)
http://www.ai.rug.nl/~niels/actransfer.html

How do people handle and prioritize multiple tasks? How can we learn
something in the context of one task, and partially benefit from it in
another task? The goal of PRIMs is to cross the artificial boundary
that most cognitive architectures have imposed on themselves by
studying single tasks. It has mechanisms to model transfer of
cognitive skills, and the competition between multiple goals. In the
tutorial we will look at how PRIMs can model phenomena of cognitive
transfer and cognitive training, and how multiple goals compete for
priority in models of distraction.

Accumulator Models
Marieke van Vugt, Don van Ravenzwaaij (U of Groningen), & Martijn 
Mulder (U of Amsterdam)

Decisions can be described in terms of a process of evidence
accumulation, modeled with a drift diffusion mechanism. The advantage
of redescribing the behavioral data with an accumulator model is that
those can be decomposed into more easily-interpretable cognitive
mechanisms such as speed-accuracy trade-off or quality of
attention. In this course, you will learn about the basic mechanisms
of drift diffusion models and apply it to your own dataset (if you
bring one). You will also see some applications of accumulator models
in the context of neuroscience and individual differences.

------------------------------------------
Katja Mehlhorn, Docent

****************************************************************
10. Symposium on Computational Modelling of Emotion: Theory and Applications
    http://www.cs.bham.ac.uk/~ddp/aisb17cme/

To: Dean Petters <D.D.Petters at cs.bham.ac.uk>
CC: <cognition_affect at cs.bham.ac.uk>

Dear Cognition and Affect members, here is a CFP:

1. CALL FOR PAPERS: Symposium on Computational Modelling of Emotion:
Theory and Applications, (during 18-21st April 2017, Bath, UNITED
KINGDOM)

The symposium is part of the AISB Annual Convention 2017
http://aisb2017.cs.bath.ac.uk/index.html

Deadline for submissions was: 15 Jan 2017

Overview: Contemporary emotion modelling includes many projects
attempting to understand natural emotions or to implement simulated
emotions in chatbots, avatars or robots, for practical uses of many
sorts from entertainment to caring. The numerous models of affective
phenomena in the literature differ in important respects. They differ
in how they describe and explain a range of phenomena, including the
nature and order of perceptual, cognitive and emotional mental
processes and behavioural responses in emotional episodes. They also
differ in their target level of granularity: from fine-grained neural
to coarse-grained psychological. Different models simulate emotions
(and other mental states) with different ontological status and with a
different focus on whether they model external behaviour or internal
states. This diversity provides a challenge, but also an
opportunity. This symposium aims to facilitate movement towards a
mature integrated field with a deeper and richer understanding of
biological minds by more clearly setting out interrelationships
between emotion models.

Contributions that identify and attempt to remedy gaps and lack of
breadth in current research on affective phenomena are particularly
welcome. A narrow modelling focus may be appropriate for narrowly
focused applications of AI, such as toys or entertainment. Richer
theories that are intended to advance the science of mind should
include affective states such as: motives, attachments, preferences,
values, standards, attitudes, moods, ambitions, obsessions, humour,
grief, various kinds of pride, and various moral and aesthetic
phenomena. So the symposium will consider how varieties of affect can
be integrated and validated in computational models.

The aims of this symposium also include: presenting the state of the
art in emotion modelling; bringing together an interdisciplinary
community interested in exploiting this technology; and looking
forward by defining new challenges, including empirical,
philosophical, and technological, as well as contributing to our
understanding of natural varieties of affect and how they fit in with
other aspects of cognition.

Topics include, but are not limited to:

- How models explain the nature of interaction between reasoning and
   emotion, and the emotional underpinnings of reasoning;
- Computational architectures which model emotion
- Models of affect which are incorporated within applications in human
  computer interaction and health technology. For example, in the
  health domain, emotion models which can enhance assessment,
  diagnosis and treatment.
- Explaining how technological applications can be used to make
   contributions to psychological theory
- Is emotion algorithmic/computational? to what extent?
- Embodied, situated and enactivist approaches to emotion
- Emotion model validation
- Towards computational models for online dynamic diagnosis and
  therapeutic interventions
- Modelling of emotion regulation for self-help, cognitive and
  mindfulness psychotherapy, and positive psychology.
- Emotion modelling in computational psychiatry, including
   investigating the mechanisms of pathological thinking and emotion
- Attachment modelling
- How computational models can provide accounts of how emotions and
   cognitions shape each other over different timescales, from
   momentary episodes to the development of personality
- Using computational emotion models in research on: self-control,
   meta-management, and coherence in thought and behaviour (and loss of
   these states) As the AISB convention has the overall theme of
   "Society with AI," submissions are welcome that focus on social and
   ethical questions, including:
- Can artificial systems be given the full range of human emotions? Or
    can these emotions simply emerge from the functioning of the model
    components? If 'yes', are there ethical limitations in what systems
    should be created or allowed to develop?
- How will people respond to emotional agents as they become more
    realistic?; What implications will sophisticated emotional agents
    have for human to human relations, and how humans understand what
    it means to be human?
- the near-future relevance of emotions in AI,
- the potential benefits or threats to society.

----------------
Organising committee

  Dr Dean Petters (Psychology) d.d.petters at cs.bham.ac.uk
  Department of Psychology, Birmingham City U

  David Moffat (Computer Science)   david.c.moffat at gmail.com
  School of Engineering and Built Environment, Glasgow Caledonian U

  Dr Joel Parthemore (Philosophy)  joel.parthemore at his.se
  visiting researcher
  Dept of Cognitive Neuroscience and Philosophy, U of Skvde, Sweden

****************************************************************
11. Advances in Cognitive Systems conference
    http://www.cogsys.org/conference/2017

We are happy to announce that the call for papers for the Fifth Annual
Conference on Advances in Cognitive Systems is now available online.
Important dates, venue information, and a spectacular lineup of
invited speakers can be found here:

http://www.cogsys.org/conference/2017

  3 Mar (midnight PDT):  Deadline for paper submission via EasyChair
  5 May:  Deadline for early registration
  12-14 May:  Conference

Paper submissions will be handled via the EasyChair website
(http://www.easychair.org), and login instructions will be posted as
an update to the link given above within the next two weeks.

Any questions you may have should be forwarded to paul.bello at nrl.navy.mil

We look forward to seeing you in May!

With our warmest regards,
Paul Bello, Chair
Ken Forbus, Ashok Goel, John Laird, Pat Langley & Sergei Nirenberg,
ACS Organizing Committee

****************************************************************
12. Nengo Summer School, 4-16 June 2017, U of Waterloo, Ontario, CA
   http://www.nengo.ca/summerschool

The Centre for Theoretical Neuroscience at the U of Waterloo is
inviting applications for our 4th annual summer school on large-scale
brain modeling. This two-week school will teach participants how to
use the Nengo software package to build state-of-the-art cognitive and
neural models to run in simulation and on neuromorphic hardware. Nengo
has been used to build what is currently the world's largest
functional brain model, Spaun [1], and provides users with a versatile
and powerful environment for designing cognitive and neural systems to
run in simulated and real environments. For a look at last year's
summer school, check out this short video: https://goo.gl/EkhWCJ

We welcome applications from all interested graduate students,
research associates, postdocs, professors, and industry
professionals. No specific training in the use of modeling software is
required, but we encourage applications from active researchers with a
relevant background in psychology, neuroscience, cognitive science,
robotics, neuromorphic engineering, computer science, or a related
field.

[1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang
Y., Rasmussen, D. (2012). A large-scale model of the functioning
brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI:
10.1126/science.1225266. [http://nengo.ca/publications/spaunsciencepaper]

***Application Deadline: 15 Feb 2017***

Format: A combination of tutorials and project-based
work. Participants are encouraged to bring their own ideas for
projects, which may focus on testing hypotheses, modeling neural or
cognitive data, implementing specific behavioural functions with
neurons, expanding past models, or providing a proof-of-concept of
various neural mechanisms. Hands-on tutorials, work on individual or
group projects, and talks from invited faculty members will make up
the bulk of day-to-day activities. A project demonstration event will
be held on the last day of the school, with prizes for strong
projects!

Topics Covered: Participants will have the opportunity to learn how to:

build perceptual, motor, and sophisticated cognitive models using 
spiking neurons
model anatomical, electrophysiological, cognitive, and behavioural data
use a variety of single cell models within a large-scale model
integrate machine learning methods into biologically oriented models
interface Nengo with various kinds of neuromorphic hardware (e.g. SpiNNaker)
interface Nengo with cameras and robotic systems
implement modern nonlinear control methods in neural models
and much more.

4-16  June 2017 at the U of Waterloo, Ontario, CA.

Applications: Please visit http://www.nengo.ca/summerschool, where you
can find more information regarding costs, travel, lodging, along with
an application form listing required materials.

If you have any questions about the school or the application process,
please contact Peter Blouw (pblouw at uwaterloo.ca). We look forward to
hearing from you!

****************************************************************
13. HILDA 2017 Call for Papers (Deadline Extension to 10 mar)
    http://hilda.io/

HILDA'17
2nd Workshop on Human-In-the-Loop Data Analytics.
Co-located with SIGMOD 2017, Chicago

Workshop Date: 14 May 2017
Submissions due: 10 Mar 2017 11:59PM US EDT (instead of March 3)

HILDA is a workshop that will allow researchers and practitioners to
exchange ideas and results relating to how data management can be done
with awareness of the people who form part of the analytics
process. Thus, the key focus of HILDA is to evaluate, understand, and
formally reason about the participation of humans in data management,
with the eventual goal towards building optimized data management
systems and techniques that treat humans as a first-class citizen,
alongside data.

We welcome work that proposes innovations in design to improve the way
people can work with data management systems, just as work that
studies empirically how humans work with existing systems. We welcome
research from a variety of perspectives: database systems, data mining
and machine learning,human-centric computing, interfaces, and
visualization, as well as industrial best practices and experience. A
sample of topics that are in the spirit of this workshop include, but
are not limited to: novel query interfaces, interactive query
refinement, data exploration and analysis, data visualization,
human-assisted data integration and cleaning, perception-aware data
processing, database systems designed for highly interactive use
cases, empirical studies of database use, and crowd-powered data
infrastructure.

HILDA intends to be a forum where people from varied communities
engage with one another's ideas. We welcome submissions that present
initial ideas and visions, just as much as reports on early results,
or reflections on completed projects. The workshop will focus on
discussion and interaction, rather than static presentations of what
is in the paper. See http://hilda.io/2016 for the program and examples
of the work presented at HILDA 2016.

SUBMISSION
========
Authors are invited to submit original, unpublished research papers that
are not being considered for publication in any other forum. Papers must
follow the ACM Proceedings Format. Papers submitted can be between four and
six pages in length, including references and appendix. Submissions will be
handled through EasyChair:

https://easychair.org/conferences/?conf=hilda2017

ORGANIZERS & PC
Carsten Binnig, Brown, co-chair
Joseph M. Hellerstein, U of California, Berkeley, co-chair
Aditya Parameswaran, U of Illinois, co-chair

Abraham Bernstein, U of Zurich           Adriane Chapman, MITRE McLean
Anil Bahuman, Reliance Industries     Anushka Anand, Tableau Software
Beth Trushkowsky, Harvey Mudd                     Brian Lim, NUS Singapore
Carl-Christian Kanne, Platfora 
Chris Re, Stanford
Dafna Shahaf, Hebrew U Jerusalem    Daniel Fysher, Microsoft Research
Eugene Wu, Columbia                                Giorgio Caviglia, 
Trifacta Inc.
Guoliang Li, Tsinghua      Harish Doraiswamy, NYU Data Science Center
James Terwilliger, Microsoft Res        Jessica Hullman, U of Washington
Martin Kersten, CWI                                  Olga 
Papemmanouil, Brandeis
Oliver Kennedy, U at Buffalo                            Patrick 
Olivier, Newcastle
Remco Chang, Tufts                                    Rick Cole, 
Tableau Software
Stratos Idreos, Harvard 
Sudeepa Roy, Duke
Tim Kraska, Brown              Tiziana Catarci, Sapienza Universit di Roma
Yunyao Li, IBM Research

STEERING COMMITTEE
Alan Fekete, U of Sydney
Laura Haas, IBM Research
Arnab Nandi, Ohio State

****************************************************************
14. 13th International Naturalistic Decision Making conference
    20-23 Jun 2017, Bath, England

Karen Feigh just sent out the list you compiled of events and
conferences.  Thank you.

But there is one you left out: The 13th International Conference of
Naturalistic Decision Making, which will be held in Bath, England
20-23 Jun 2017.

The conference encapsulates the cognitive challenges associated with
making decisions in demanding and uncertain situations.    It is
co-chaired by Julie Gore and Paul Ward.  Keynote speakers include
Rhona Flin and Nassim Nicholas Taleb.

The deadline for paper submissions is 15 Jan 17.

http://www.bath.ac.uk/management/news_events/events/naturalistic-decision-making/index.html

Gary Klein, PhD
MacroCognition LLC        937/238-8281 (cell)
gary at macrocognition.com    www.macrocognition.com
http://www.shadowboxtraining.com

****************************************************************
15.  Little AI, free game on iTunes
     http://little-ai.com/

Little AI is a free game for iPhone or iPad to illustrate
developmental artificial intelligence and constructivist learning. It
can be used for teaching. It was just released on the App store:

  http://little-ai.com/
  https://itunes.apple.com/us/app/id1114007742

contact:  Olivier Georgeon <olivier.georgeon at gmail.com>

****************************************************************
16.  Game to learn how to use the terminal
    http://www.mprat.org/Terminus/

[sent to me by a local professor]

This is a game aimed at helping people get used to terminal commands
(i.e., those you'd see in Unix-based terminals). I got the link to
this from another professor here. I'm going to try to use it for our
1st lab for our 2nd intro course.

****************************************************************
17.  Article: Net neutrality is good for people and business.
https://www.wired.com/2017/01/dont-gut-net-neutrality-good-people-business

Net neutrality is good for people and business. Preserving net
neutrality will help "make America great again".

article featured in Wired:
Don't Gut Net Neutrality. It's Good for People and Business, 5 Jan 17

Nick
http://www.stern.nyu.edu/networks

****************************************************************
18. Frontiers in Psychology
    Section on Cognitive Science

There is a journal called Frontiers in Psychology that has a
subsection on Frontiers in Cognitive Psychology. There announcements
that come to me are in an HTML message, so I only include one example,
but I am seeing some interesting papers getting published there:

http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00800/
Cognitive Appraisals Affect Both Embodiment of Thermal Sensation and
  Its Mapping to Thermal Evaluation
Keeling, Roesch, and Clements-Croome

****************************************************************
19.  SI: What Does It Take for an Artificial Agent to Be Constructivist?
    http://constructivist.info/special/agents

Special Issue of Constructivist Foundations to be published March 2018
Editors: Olivier Georgeon and Alexander Riegler, agents at constructivist.info
Submission deadline: 15 Aug 17

CALL FOR PAPERS
What Does It Take for an Artificial Agent to Be Constructivist?

Edited by Olivier L. Georgeon and Alexander Riegler
15 May 2017: Expressions of interest (including abstract)
15 Aug 2017: Submission deadline for full papers
15 Jan 2018: Submission deadline for open peer commentaries
15 Mar 2018: Publication date

Download the full Call for Papers from
    http://constructivist.info/special/agents

****************************************************************
20.  Human Factors: The Journal of the HF and Ergonomics Society
    http://mc.manuscriptcentral.com/humanfactors

Editor: Patricia R. DeLucia
Texas Tech U

Human Factors: The Journal of the Human Factors and Ergonomics Society
publishes peer-reviewed scientific studies in human factors/ergonomics
that present theoretical and practical advances concerning the
relationship between people and technologies, tools, environments, and
systems. Papers published in Human Factors leverage fundamental
knowledge of human capabilities and limitations ,Ai and the basic
understanding of cognitive, physical, behavioral, physiological,
social, developmental, affective, and motivational aspects of human
performance ,Ai to yield design principles; enhance training, selection,
and communication; and ultimately improve human-system interfaces and
sociotechnical systems that lead to safer and more effective outcomes.

Articles encompass a wide range of multidisciplinary approaches,
including laboratory and real-world studies; quantitative and
qualitative methods; ecological, information- processing, and
computational perspectives; human performance models; behavioral,
physiological, and neuroscientific measures; micro- and
macroergonomics; evaluative reviews of the literature; methodological
analyses; and state-of-the-art reviews that cover all aspects of the
human-system interface.

Human Factors published its first issue in 1958. Submissions on a wide
variety of topics are welcome. Human Factors will be of particular
interest to those interested in areas such as human
factors/ergonomics, human-systems integration, automation, robotics,
human-computer interaction, transportation, health-care systems,
aviation and aerospace, aging, teamwork, education and training,
military systems, architecture, applied psychology, biomechanics,
cognitive psychology, cognitive science, industrial engineering,
neuroergonomics, and user-centered design.

Submit your manuscript at http://mc.manuscriptcentral.com/humanfactors

****************************************************************
21. ICCM 2016 has an ISBN now, and revised proceedings available

This should not change how it is received by most departments and
journals -- Cognitive Science and AAAI also have ISBN numbers.  But
having an ISBN should allow some governments and universities to
'find' or recognize the proceedings more easily.

****************************************************************
22.  Understanding Higher Cognition (book)
    http://understandinghighercognition.com/

[This is a book with video lecturers in our area, which got sent to
me. This is interesting in that the media now allows courses to be put
on the web requiring much lower resources.  I cannot vouch for the
contents, this is a "the media is the message" announcement.]

****************************************************************
23.  Research Dean, IST at PSU
    http://ist.psu.edu

The College of IST is looking for a Research Dean.  This position will
oversee research in the college. The college has about 60 faculty. The
chair of the hiring committee, Lee Giles (giles at ist.psu.edu) or I can
send you the full call.

****************************************************************
24.  Full Professor of Communication Science and Artificial Intelligence
  Radboud U Nijmegen (application deadline 15 Mar 17)
    http://www.ru.nl/werken/details/details_vacature_0/?recid=593259

The professor will have a strong focus on artificial intelligence and
machine learning techniques for advancing the study of mediated
communication and its uses and effects. Topics may include, but are
not limited to:

  - recommender algorithms to personalise information presented
    through interactive media;
  - the emergence of artificial intelligence as agent in the news and
    information landscape, including digital, automated, and
    computational journalism;
  - the use of virtual and augmented reality to enable or enhance
    communication;
  - communication between human and virtual or tangible artificial
  agents (e.g. avatars, robots); the use of analytics for web traffic,
  especially when these tools can be deployed and tuned by
  communication scholars;
  - the development of models of the spreading of information and
    influence through social network connections, (graph) analysis of
    peer networks;
  - the effectiveness of apps and wearables, and how sensors and
  software can be exploited with specific communication aims in mind.

****************************************************************
25.  Tenure-Track Faculty Openings, Industrial Engineering &
    Management, National Chiao Tung U, Hsinchu, Taiwan

The Department of Industrial Engineering and Management at National
Chiao Tung U (NCTU) invites applications for tenure track
positions. We seek outstanding candidates for faculty positions in all
areas of Industrial Engineering ,Ai methodological and applied ,Ai
including Human Factors Engineering.

National Chiao Tung U is located next to Hsinchu Science
Park, the Silicon Valley of Taiwan. Over the years, NCTU, the
forerunner of science and technology, has been playing a key role in
technology innovation as well as entrepreneur incubator for the high
technology park. Recently, a national bio-medical industrial park is
established in the vicinity of the campus. With its strengths in ICT
and high-tech management, NCTU will have substantive contributions to
biomedical engineering in Taiwan. The Department of Industrial
Engineering and Management (IEM) of NCTU was established in 1984. The
mission is to be a premier department providing education and
leadership in research, development and application of technology and
knowledge in the Industrial Engineering domain. Individuals will be
considered if their capabilities and research interest are compatible
with the mission of the department.

Applicants should have a PhD degree in related fields, and must have
demonstrated outstanding records or potential in research. Teaching
courses in English at both undergraduate and graduate levels is
required. Parties are invited to send the following materials: (1) a
curriculum vitae with a publication list, (2) research and teaching
statements, including research areas and the courses you could offer,
(3) a transcript of graduate studies, and (4) a copy of the
dissertation and Ph.D. diploma.

Applications should be received by 31 Aug 17 to ensure full consideration.

The application materials are sent to: Prof. W. L. Pearn,
Chair, Dept of Industrial Engineering and Management
National Chiao Tung U, Hsinchu, Taiwan
wlpearn at mail.nctu.edu.tw

****************************************************************
26.  Ass. / Assoc / Full Professor in Robotics, Tufts, Medford, MA

From:         Matthias Scheutz <matthias.scheutz at TUFTS.EDU>
Subject: Assistant / Associate / Full Professor in Robotics at Tufts, 
Medford, MA
To:           HRI-ANNOUNCEMENT at LISTSERV.ACM.ORG

The Department of Computer Science (CS) and the Department of
Mechanical Engineering (ME) at Tufts invite applications for
a tenure-stream faculty appointment at any rank in the area of robotics
to begin in September 2017. We are looking for an engaged and engaging
researcher and teacher with a strong vision who can bridge the research
strands in control and navigation in ME and artificial intelligence and
human-robot interaction in CS and maintain a high-quality collaborative
research program at Tufts. Possible connections include safe autonomous
navigation in social spaces (from autonomously driving cars, to social
robots in elder-care facilities, to UAVs for product delivery), safe
object manipulation for human-robot collaborative tasks (e.g.,
collaborative assembly tasks, manipulation of physical parts in
manufacturing, and physical interaction in therapy settings such
dressing or guided limb motion for stroke recovery), and all aspects of
human-robot teaming (e.g., trained human-robot teams for Urban Search
and Rescue missions, ad hoc teams for disaster relief, space
exploration, or other teaming settings where autonomous robots
significantly contribute to mission success).

While candidates with research in any of the above areas in robotics,
AI, or HRI will be considered, we are particularly interested in
candidates who work in manipulation.

The size and research funding of both departments has grown
significantly in the past. Located in the Boston area, the departments
benefit from outstanding undergraduate and graduate students,
collaborative faculty, and cross-disciplinary research opportunities.
Tufts is one of the smallest universities ranked as a Research 1
university, offering the best of a liberal arts college atmosphere
coupled with the intellectual and technological resources of a major
research university. Tufts supports and encourages a culture of
interdisciplinary research and there are numerous such opportunities
within the School of Engineering, School of Arts and Sciences, and our
graduate and professional schools.

Located only six miles from historic downtown Boston, faculty members
on the Tufts Medford/Somerville campus have extensive opportunities for
academic and industrial collaboration as well as participation in the
richintellectual life of the area. The School of Engineering is in the
midst of a period of exciting growth that has seen the recruitment of
outstanding new faculty, a quadrupling of funded research over the last
ten years, the addition of new buildings and laboratory space, an
emphasis on building diversity in engineering, and major curricular
initiatives at both the undergraduate and graduate levels.

APPLICATION INSTRUCTIONS

Please submit your application online through Interfolio at

https://apply.interfolio.com/38832.

We request the following: (a) a letter of application explaining your
interest in Tufts and in this position, (b) your curriculum vitae, (c)
a statement describing your current and planned research, (d) a
statement of your teaching philosophy, (e) a sample of your scholarly
work, and (f) three to five reference letters.

Review of applications will begin 9 Jan 2017 and will continue until
the position is filled. For more information about the department, the
position, and the application procedure, please visit

http://www.cs.tufts.edu

Inquiries should be emailed to jointsearch at cs.tufts.edu

****************************************************************
27.  Software Engineer for cognitive models, AFRL
    http://jobs.leidos.com/ShowJob/Id/989233/Software-Engineer/

The position at the link is a contract position through Leidos,
working on an exciting new line of applied research and development
with our Cognitive Models and Agents branch at Wright-Patterson AFB.
If you have the required knowledge, skills, experience, and interest,
please apply at their website.  If you know someone else who does,
please forward for their awareness.

Kevin Gluck, PhD
Principal Cognitive Scientist

****************************************************************
28. Open Postdoctoral fellowship
    Dept. de Matemtiques i Informtica at Universitat de Barcelona.

The Dept. de Matematiques i Informatica (Mathematics and Computer Science)
is looking for and willing to support excellent postdoctoral researchers in
the fields of Machine Learning, Computer Vision and Human-Computer
Interaction who are interested in applying for a Beatriu de Pins (BP) 2016
fellowship so as to conduct a two-year postdoc at Universitat de Barcelona.

The purpose of the Beatriu de Pins programme* is to award 60 individuals
grants for the hiring and incorporation of postdoctoral research staff into
the Catalan science and technology system. These grants are designed for the
incorporation of young researchers (who obtained their PhD between 2007
and 2014 and have not resided or worked in Spain for more than 12 months
in the three years prior to date of submission of the application), so
that they can improve their professional prospects and obtain an
independent research position. Candidates must carry out a research and
training project for the entire period of the grant, one that will allow
them to progress in the development of their professional
careers. Please check the website of the BP programme* for further
information about this fellowship.

Some of the specific projects, we are working, include:

  + Machine Learning: Deep Learning for time series analysis, Supervised
    Online Learning Algorithms, Bayesian statistics and deep learning.
  + Computer Vision: Visual Lifelogging and Egocentric Vision, Neuroimage
    processing, Computer Vision for Food Analysis, Deep learning and Image
    Aesthetics, Ultrasound image analysis.
  + Human-Computer Interaction: ageing / older people, interfaces for people
     with mild dementia or with aphasia, universal design of STEM documents

Description: [URL was three lines long and I deleted it, google for the URL]

Deadline: 01/12/2016 [this date is probably 1dec16, might be filled, might not]

For further information about this postdoctoral opportunity please
feel free to contact us:

Petia Radeva (petia.ivanova at ub.edu)
www.ub.edu/cvub
www.cvc.uab.es/people/petia
****************************************************************
29.  2 postdocs in HCI at PSU

I [Carroll] am looking for two postdocs to start this summer (July).
Each will have an initial contract period of 1 year, both are
12-month, non-tenure, renewable positions with the College of
Information Sciences and Technology (IST) and Center for
Human-Computer Interaction at the Pennsylvania State University.

One position is a research associate (technically, this is a
junior-level, research-oriented faculty position). It includes
teaching one course per year, and helping to manage and support my
research group. To apply for this position, go to
https://psu.jobs/job/69142

The second position is a project-focused post doctoral scholar. It
involves carrying out and coordinating field work with community
partners, and does not include teaching responsibilities. To apply for
this position, go to https://psu.jobs/job/69738

Both post docs will be members of an interdisciplinary team
investigating collaborative learning and problem-solving, online
community, and computer support for local communities (local
non-profits and businesses, municipal government, neighborhoods). Both
will help me and my graduate students plan and conduct design
research, field studies, and laboratory experiments addressing new
kinds of support for collaborative and community activities and
experiences.

Required qualifications:
-Ph.D. in CS, Information Science, HCI, or related field.
-Experience in and enthusiasm for communicating research results at
  scientific conferences and in academic journals.
-Desire to work in an interdisciplinary team developing computer
  technologies and applications, and engaging with and gathering data
  from users and other stakeholders.

Desirable qualifications:

-Experience with user-centered design, participatory design, usability
  evaluation, and ethnographic field methods, social computing and
  community informatics.

-Software design, programming, and database expertise in developing
  Web 2.0 and mobile applications.

If you have questions, contact jmcarroll at psu.edu; to apply, please use
the links embedded above.

The Pennsylvania State University is the land grant institution of
Pennsylvania. University Park is the largest of Penn State's 24
campuses, with undergraduate enrollment of approximately 44,000
students and offering more than 150 programs of graduate study. The
campus is located in State College PA, ranked the 3rd safest
metropolitan area in the United States by CQ Press, and the 8th best
college town in the nation by Best College Reviews. The College of IST
is Penn State's iSchool; its faculty and students are dedicated to
collaboration and applying knowledge to make human lives better.

****************************************************************
30.  2 postdocs in Cogsci at PSU

I [Ritter] am looking for two post docs to start this summer
(depending when funds arrive). Each will have an initial contract
period of 1 year, both are 12-month, non-tenure, one is renewable, the
other is not necessarily, positions with the College of Information
Sciences and Technology (IST) and the Applied Cognitive Science Lab.

Both positions are postdocs, one will build models of ACT-R and
Physiology and one will build a tutor and help test it.

To apply for these positions, go to https://psu.jobs/job/63941 and
also email frank.ritter at psu.edu your materials.

Required qualifications:
-Ph.D. in cognitive science, CS, Information Science, HCI, or related field.
-Experience in and enthusiasm for communicating research results at
  scientific conferences and in academic journals.
-Desire to work in an interdisciplinary team developing computer
  technologies and applications, building models, and running studies.

Desirable qualifications:
-Experience with ACT-R, Ruby, lisp, other languages, including R
-Software design, programming, and database expertise in developing
  large systems
- Knowledge of leanring and tutoring or physiology

If you have questions, contact frank.ritter at psu.edu; to apply, please
use the links embedded above.

****************************************************************
31.  Cognitive Scientist
    https://www.cra.com/careers/job-listings?gh_jid=539284

We are seeking a scientist to work with small teams to advance the
science of learning and develop new learning systems. Do you like to
play games, but are more interested in how to improve the game than
winning? Are you interested in how the brain acquires new skills? Do
you wish tailored and adaptive training was available to everyone? Do
you ask for more data for your birthday? This may be the position
for you!

You will apply the latest evidence-based techniques from fields such
as artificial intelligence (AI), cognitive modeling, game AI,
intelligent tutoring systems, modeling and simulation, and/or
instructional design to domains such as military tactics, cyber
defense, and healthcare. You will work with our scientists and
software engineers to determine requirements, design new approaches,
and assist in implementing these designs in software. You will also
support evaluation of research ideas (both empirical and qualitative)
and the documentation of your results for peer-reviewed publication
and reports to Sponsors. You will be involved in the authoring of new
proposals to further these areas of research and development.

MUST HAVE:
  U.S. Citizenship is essential due to the nature of our research
  Doctorate degree in Computer or Cognitive Science (or a related
    field) or a strong track record conducting research in these areas
  Strong verbal and written skills to support proposal writing,
    interaction with customers, and presentations at technical
    conferences
  Experience with one or more topics in cognitive modeling, game AI,
    training simulations, intelligent tutoring systems, modeling and
    simulation, instructional design

****************************************************************
32.  Computational Cog Scientist
    https://jobs.wright.edu/postings/11106

The Wright State Research Institute (WSRI), a component of Wright
State in Dayton Ohio, is hiring a Computational Cognitive Scientist
with expertise in the areas of human and machine learning. Interested
applicants can apply here: https://jobs.wright.edu/postings/11106

This is an excellent opportunity for someone who recently received
their PhD and is seeking a career path outside the traditional
academic route, but who values the intellectual dynamism of a
university environment. Because WSRI is a relatively young
organization, this is also a great opportunity for a motivated
individual to get in on the ground floor and help shape the future
research direction of WSRI,Aos cognitive science portfolio. We are
especially interested in candidates who possess a high degree of
self-direction and who are willing to grow into a leadership role over
time.

The Computational Cognitive Scientist (CCS) position is a full time,
permanent position. Initially, the CCS will conduct research in
support of an Ohio state-funded project called Human-Centered Big
Data, which aims to make ,Aublack box,Au machine learning systems --
including, but not limited to, deep neural nets -- more transparent to
human users. The CCS will also have the opportunity to contribute to a
wide range of other projects focused on modeling and improving human
cognition at both the individual and group levels.

Applicants must be US citizens.

Further inquiries can be made directly to: brandon.minnery at wright.edu

Brandon Minnery, Ph.D.
Director of Research
Wright State Research Institute

****************************************************************
33.  Summer 2017 Research for Undergraduates in HCI at CMU
   http://www.hcii.cmu.edu/reu-summer-2017

The Human Computer Interaction Institute is looking for
talented and driven undergraduates to join us for Summer
2017 in conducting novel research at the edge of design,
behavioral sciences, and computing technology.

Students will be matched with and work closely with mentors
in their research. Some example topics of research for
Summer 2017 include:
- Smart classroom sensors
- Software engineering for HCI and security
- Designing and developing educational games
- Developing tools for citizen science
- Designing better systems for the future of work
- Improving online health support groups
- Building smartphone privacy tools
- Building tools to help people with disabilities be crowd workers

The program will run for 10 weeks, going from 29 May-4 Aug.
Students will be paid a stipend, and will also have their
housing costs covered.

Ideal applicants will be rising sophomores, juniors, or seniors,
and have strong skills in one or more of visual or interaction
design, behavioral sciences, or software or hardware development.
We are also interested in broadening participation of students
from traditionally underrepresented groups in computing or who do
not have access to research facilities at their home institution.
Previous research experience is not a requirement.

The application deadline is 1 Mar 17, and decisions will be
sent out by 15 Mar.  For more information and our application
form, please see
   http://www.hcii.cmu.edu/reu-summer-2017

****************************************************************
34.  Postdoc at GIT in NASA mission planning

Georgia Tech's Cognitive Engineering Center in collaboration with the
Savelsbergh Research Group is seeking a post-doctoral research
associate to work on a project to provide mission planning for NASA's
next generation of manned space exploration missions. The proposed
research focuses on representing and planning the work of astronauts
during space missions, and addresses three intertwined challenges: (1)
a formal representation of the work; (2) the interface for a human
planner to reason about plans for accomplishing the work; and (3)
computational methods to create and optimize plans which can
potentially scale from focused, near-term off-nominal disturbance
response to more strategic planning of larger sets of activities and
longer durations. The ideal candidate will have a strong computation
background with significant programming experience in at least one
object oriented language (C++, C#, Python or Java) and a basic
understanding and knowledge of algorithms, e.g., shortest paths,
maximum flow, linear programming, and integer programming.

Additionally, we are seeking candidates with:

  ? a basic knowledge of simulation techniques, including discrete
  event and continuous-time simulation, and Monte Carlo methods
  ? an exposure or experience with machine scheduling algorithms
  ? an exposure to predictive analytics, i.e., analyzing historic data
  to predict future events

The duration of the position is approximately 24 months and is located
in Atlanta, GA; and would ideally begin May 2017 or earlier.
Interested candidates should send an application packet consisting of
a cover letter and their CV to Dr. Karen Feigh at
Karen.feigh at gatech.edu. A more detailed description of the research
can be found at:
https://www.nasa.gov/directorates/spacetech/esi/esi2016/Mixed-Initiative_Plan_Management

****************************************************************
-30-
If you have read this far, a nice topical video is
  Leonard Cohen - Hallelujah
  https://www.youtube.com/watch?v=YrLk4vdY28Q
****************************************************************

From guidomontufar at gmail.com  Fri Mar 17 14:33:10 2017
From: guidomontufar at gmail.com (Guido F. Montufar)
Date: Fri, 17 Mar 2017 19:33:10 +0100
Subject: Connectionists: AIM Workshop: Boltzmann machines
Message-ID: <CAAaRS-vPNM6mY+ddfkrK101Dxuts6uDQ6D6Fa9dK_1Muz0a6zQ@mail.gmail.com>

Please make note of the following AIM workshop announcement. Applications
are welcome.

Boltzmann machines
September 25 to September 29, 2017
American Institute of Mathematics, San Jose, CA

Organizers:
Asja Fischer, Guido Montufar, and Jason Morton

Description:
This workshop, sponsored by AIM and the NSF, will be devoted to the
mathematics of Boltzmann machines. Researchers have been employing tools in
information theory, algebra, combinatorics, geometry, and optimization to
understand these models. The result is a situation where further progress
probably requires a more intimate merger of these tools.

Deadline for applicants:
May 1, 2017

Details:
http://aimath.org/workshops/upcoming/boltzmann
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From gwtaylor at uoguelph.ca  Fri Mar 17 22:42:22 2017
From: gwtaylor at uoguelph.ca (Graham Taylor)
Date: Fri, 17 Mar 2017 22:42:22 -0400
Subject: Connectionists: Funded PhD Position in Explainable Artificial
	Intelligence
Message-ID: <CANf8DRS5fy1=28uskTat9mCriHcok-c1GAUTfgWX-WY7WWxLCw@mail.gmail.com>

When an artificial intelligence system makes a decision or draws a
conclusion, the reasons behind that decision are often obscure and
difficult to interpret. In order to trust the outcomes of AI systems, they
need to be able to present the rationale behind decisions in
understandable, transparent ways. We are seeking a highly-motivated PhD
candidate for an interdisciplinary research project across the fields of
deep learning, visual analytics, and human-computer interaction.
Specifically, the research program will be in Explainable Artificial
Intelligence [1] with a focus on creating systems to help people interpret
the reasoning behind decisions made by deep learning systems. The selected
candidate will join an international collaborative project and will be
responsible for the design, implementation, and testing of visualization
interfaces connecting to explainable machine learning systems designed by
partners on the larger project.



This funded position will be established in the Visualization for
Information Analysis Lab (vialab) in the Computer Science PhD program at
the University of Ontario Institute of Technology in Oshawa, Ontario,
Canada under the supervision of Dr. Christopher Collins. The candidate with
collaborate with other team members Dr. Graham Taylor at the University of
Guelph and Dr. Mohamed Amer at SRI International.



Depending on performance there is a strong likelihood of one or more paid
internships at SRI International during the period of study.



REQUIRED QUALIFICATIONS/SKILLS

- Masters degree in Computer Science, Software Engineering,
Informatics/Data Science or an equivalent university-level degree and
relevant experience

- Strong and demonstrated programming skills

- Research, work, or significant course experience in human-computer
interaction, visual analytics, or interface design

- Preference for candidates who also have experience/interest in artificial
intelligence or machine learning
- Able to work as an independent and flexible researcher in
interdisciplinary teams

- Strong English writing and speaking skills



APPLICATION PROCESS

Send the following to christopher.collins at uoit.ca:

   - Detailed CV
   - Motivation letter explaining your interest in and relevant experience
   for this project
   - Summary of your Master?s thesis
   - Transcripts (unofficial are acceptable at this stage; translations are
   not required at this stage)

Note: The selected candidate will be invited to apply through the official
university application process and offers will be conditional on meeting
application criteria for the UOIT CS program.



DATES & DETAILS

- Expressions of interest as soon as possible; formal application process
to follow for the invited candidate

- Start date: September 2017 or negotiable

- Duration: 4 years



ABOUT UOIT

The vialab at UOIT, lead by Dr. Christopher Collins, Canada Research Chair
in Linguistic Information Visualization, conducts research in information
analysis, visual analytics, text and document analytics, and human-computer
interaction. The University of Ontario Institute of Technology (UOIT),
located in Oshawa, Ontario, advances the discovery and application of
knowledge through a technology-enriched learning environment and innovative
programs responsive to the needs of students, and the evolving 21st-century
workplace. UOIT promotes social engagement, fosters critical thinking, and
integrates outcomes-based learning experiences inside and outside the
classroom. Oshawa, Ontario is located near the city of Toronto, Canada,
where many lab members live.



[1] http://www.darpa.mil/attachments/DARPA-BAA-16-53.pdf





-- 
Graham Taylor
Assistant Professor
School of Engineering, University of Guelph
CIFAR Azrieli Global Scholar, Learning in Machines & Brains program
http://www.uoguelph.ca/~gwtaylor
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From mfasli at essex.ac.uk  Fri Mar 17 14:39:04 2017
From: mfasli at essex.ac.uk (Fasli, Maria)
Date: Fri, 17 Mar 2017 18:39:04 +0000
Subject: Connectionists: Deputy Director Post - Institute for Analytics and
 Data Science (IADS), University of Essex, 
Message-ID: <D4F1DDB5.631D5%mfasli@essex.ac.uk>

My apologies if this is not of interest to you and cross postings

The University of Essex is currently advertising a Deputy Director post for the multidisciplinary and interdisciplinary Institute for Analytics and Data Science. We would welcome applications from an artificial intelligence and machine learning background.

For more information, please see here:

https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=689970BzNq&WVID=9918109NEm&LANG=USA

For further information please do not hesitate to contact me.

Kind regards
Maria


Professor Maria Fasli PhD, NTF, FHEA
UNESCO Chair in Analytics and Data Science
Director, Institute for Analytics and Data Science
University of Essex
T +44 (0)1206 872327
E mfasli at essex.ac.uk<mailto:mfasli at essex.ac.uk>
Follow us on Twitter @EssexIADS
 [Description: Macintosh HD:private:var:folders:hc:0szf3wnn715_cxly5980l7440000gn:T:TemporaryItems:29215_unitwin_uk_essex_analytics_logo_en_ALL_BLACK.PNG]
PA Emma McClelland T +44 (0)1206 873496 E ejmccl at essex.ac.uk<mailto:ejmccl at essex.ac.uk>
? http://www.essex.ac.uk/iads/

Join us for the Essex Big Data and Analytics Summer School 24 July to 4 August 2017 http://www.essex.ac.uk/iads/events/summer-school.aspx

WE ARE ESSEX
TOP 20 FOR RESEARCH EXCELLENCE
TOP 10 FOR STUDENT SATISFACTION

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From hava.siegelmann at gmail.com  Sat Mar 18 21:13:51 2017
From: hava.siegelmann at gmail.com (Hava Siegelmann)
Date: Sat, 18 Mar 2017 21:13:51 -0400
Subject: Connectionists: New DARPA program in ML / AI / NNs
Message-ID: <CAGZcHk0i4FHZ0KYLUGt+9SJoDskCLNMKQaCBC-3STYY5dk73zQ@mail.gmail.com>

Hi colleagues

I want to get your attention to a new DARPA program, that may fit exactly
to subscribers of
this list, please see:

http://www.darpa.mil/news-events/2017-03-16

Note, it is not mandatory to come to the proposers day, most important, is
to start thinking
of directions, make groups, and apply.

With regards -

Hava
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From shuaili.sli at gmail.com  Sat Mar 18 16:13:51 2017
From: shuaili.sli at gmail.com (Shuai Li)
Date: Sat, 18 Mar 2017 20:13:51 +0000
Subject: Connectionists: [CFP]Deadline Mar 24: The 14th UIC-DSCI 2017 @San
	Francisco
Message-ID: <CAENVYZPPNwBYQCrv113PL_=0mjWWYrTn1nTpZHDvxXCC5sGkhQ@mail.gmail.com>

Dear All,

We are glad to announce the availability of Call for Conference Papers
for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence
and Computing, Main Research Track: Data Science and
Computational Intelligence, Aug 4 - Aug 8, San Francisco, CA, US
(UIC-DSCI 2017).

The purpose of this conference is to identify challenging problems facing
the development of innovative knowledge and information systems, and
to shape future research directions through the publication of high
quality,
applied and theoretical research findings. As we enter the big data era,
Web Intelligence has extended and made use of artificial intelligence for
new products, services and frameworks that are empowered by the
World Wide Web. In UIC-DSCI 2017, we will continue the tradition of
promoting collaboration among multiple areas. This year we are highlighting
the advances in frontiers and applications of general areas such as big
data,
data science, artificial intelligence, social computing, data mining,
information
retrieval, and machine learning, etc. This is uniquely placed to deliver
fresh
perspectives on big data science.

Topics of interest include, but are not limited to, the following areas:
* Big Data
* Data Science
* Computational Intelligence
* Data Mining
* Machine Learning
* Recommender Systems
* Deep Neural Networks
* Reinforcement Learning
* Ubiquitous Computing
* Software Engineering
* Soft Computing

Accepted papers must contain novel results. Contributions can be either
theoretical or empirical. Results will be judged on the degree
to which they have been objectively established and/or their
potential for scientific and technological impact.

===============================================================
The 2017 IEEE International Conference on Ubiquitous Intelligence and
Computing,
Main Research Track: Data Science and Computational Intelligence

                               Aug 4 - Aug 8, San Francisco, US (UIC-DSCI
2017)


Submission Deadline: March 24, 2017     Author Notification: May 10, 2017
Camera-Ready Due: June 10, 2017
===============================================================

Research Track Chairs:
Shuai Li, University of Cambridge, UK
Fei Hao, Shaanxi Normal University, China

Program Committee Members:
Qingcheng Zhang, St. Francis Xavier University, Canada
Zheng Pei, Xihua University, China
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

+Paper Submission:
A submission in PDF is limited to 8 pages for a main conference paper,
following the IEEE proceedings format:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Submitted via the EasyChair site:
https://easychair.org/conferences/?conf=uic2017

+Paper Publication:
Accepted conference papers will be published by IEEE (IEEE-DL and EI
indexed).
At least one author of each accepted paper is required to register and
present their
work at the conference; otherwise the paper will not be included in the
proceedings.
Best Paper Awards will be presented to high quality papers. Selected papers
will be
recommended to special issues, more details see
http://ieee-smartworld.org/2017/uic

Should you have any other concern feel free to contact:
shuai.li at eng.cam.ac.uk

<shuai.li at eng.cam.ac.uk>
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From james4424 at gmail.com  Mon Mar 20 03:30:48 2017
From: james4424 at gmail.com (Yansong Chua)
Date: Mon, 20 Mar 2017 15:30:48 +0800
Subject: Connectionists: Postdoc positions in Neuromorphic computing in
	Singapore
Message-ID: <CAPYv5K1n=q86pzeb4pX=Uss71QM0RqEFGR+TxFk2KqhJvMWB+g@mail.gmail.com>

Multiple scientist and research engineer positions are available in
Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore.
This project is part of a large multidisciplinary grant in neuromorphic
technologies involving  multiple universities and research institutions in
Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a
new neuromorphic chip using RRAM that enables on-chip learning, together
with a suite of learning algorithms that would then be deployed in
applications in the advanced manufacturing domain. The total grant is for 4
years, with a budget of S$25,000,000.

The primary scope of our research is to develop spike-based computing and
learning algorithms for deep spiking neural networks on a neuromorphic
chip. Specifically, we are interested in employing spikes in information
processing and learning. To this end, successful candidates will conduct
research in one or more of the following areas:

- Neuronal coding. What coding and readout strategy underlie spike-based
representation. How to encode external stimuli into spike based
representations and how to readout information from spike activities.

- Learning. How does neurons adapt their synaptic weights to perform a
given task under cases of supervised, unsupervised and reinforcement
signals. What are the underlying mechanisms for deep-structured network
learning.

- System integration and applications. How to integrate different
computational principles into a system and apply it to solve different
practical tasks.

Two particular focus of research are:

- Deep reinforcement learning on a neuromorphic platform for the control of
robots deployed in the advanced manufacturing domain
- Compressing and mapping of state-of-art deep learning networks onto a
neuromorphic platform, for either inference (only) or both training and
inference.

Preference will be given to candidates who can document knowledge in
machine learning, neural networks, information processing, system design or
hardware implementation with VLSI and FPGA.

Candidates must have a PhD (for scientists) or MS/BS (for engineers) in
computer science, computational neuroscience or related fields. Strong
programming and quantitative skills are highly desired. Candidates should
be proficient in spoken and written English.

The appointments will be for 3 years, and extended for another 1 year,
after review. Salaries are commensurate with internationally-competitive
salaries and benefits. The start date is flexible and applications
will be considered
on a rolling basis until the positions are filled.

Other benefits include:
- Funding for international conferences and training courses
- Collaboration opportunities with an excellent network of international
scientists

Candidates please send your curriculum vitae, a statement of research
interests and three references to Dr. Yansong Chua (chuays at i2r.a-star.edu.sg)
or Dr. Qiang Yu (yuqiang at i2r.a-star.edu.sg).

More information:
- Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/
- Working in Singapore: http://www.contactsingapore.sg/professionals/why_
singapore/
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From nicosia at dmi.unict.it  Mon Mar 20 04:51:55 2017
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Mon, 20 Mar 2017 09:51:55 +0100
Subject: Connectionists: SSBSS 2017 - Deadline is Approaching 31 March 2017
 - INTERNATIONAL SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL,
 University of Cambridge, England, July 17 to 21
Message-ID: <4DB76AF4-1F43-494E-B838-B64756B42321@dmi.unict.it>

_________________________________________________________________
Call for Participation (apologies for multiple copies)
Please kindly help forward it to potentially interested attendees
_________________________________________________________________

Dear Colleagues,

deadline is approaching 31 March 2017 

4th INTERNATIONAL SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL and WORKSHOP
* Biology meets Computer Science & Engineering *
at the University of Cambridge, UK, July 17 to 21, 2017
                http://www.taosciences.it/ssbss/


Overview
The synthetic & systems biology summer school provides students, post-docs, academics and industry professionals with an intense learning experience on the theory and
applications of modern synthetic & systems biology. Over the course of one week,
a panel of internationally renowned experts of the field will offer
lectures and tutorials covering basic as well as advanced topics.

Confirmed Speakers
* Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy
* Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK
* Carole Goble, University of Manchester, UK
* Jim Haseloff, University of Cambridge, UK
* Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA
* Edda Klipp, Humboldt University, Germany
* Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK
* Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK
* Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
* Eriko Takano, Manchester Synthetic Biology Research Centre, University of Manchester, UK
* Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK

Industrial Panel 
* Jonathan Chesnut, Thermo Fisher Scientific Inc., USA

Other speakers will be announced soon.

Application process
Applications are invited from graduate students, postdoctoral researchers, academics 
and industry professionals looking to use, or already using synthetic biology
and/or systems biology methods in their work.  Prior experience
is not strictly required.

Applicants will be asked to submit a CV. We are also seeking to give participants a chance to discuss their own work with their peers and the speakers. 
As option, it is possible for each applicant to provide the abstract of a poster they would like to present at the school.

The School will involve a total of 36-40 hours of lectures, the final achievement will be equivalent to 8 ECTS points for the students attending the summer school.

The application system is now open:

http://www.taosciences.it/ssbss/#application-form

Important Dates:
* March 31, 2017	DEADLINE FOR APPLICATIONS
* April 10, 2017 	Notification Acceptance 
* The school will take place from July 17 to July 21, 2017 

Organizers:
Massimo Gulisano, University of Catania, Italy
Giuseppe Nicosia, University of Catania, Italy
Steve G. Oliver, University of Cambridge, UK


Call for Posters & Talks
The International Synthetic & Systems Biology Summer School is especially aimed to provide a stimulating environment for young researchers, Post-Doc, Ph.D. Students and M.Sc. Students. 
They will have the possibility to present the results of their research activities on the topic of the summer school, and to interact with their scientific peers, in a friendly and constructive way. 
Applicants may submit an abstract to present their results. The abstract should be submitted before 31 March. 
In general, everyone participating in the summer school is invited to bring a poster to display their work. If you are interested in contributing, please give brief details when you submit your application.
Suitable space will be reserved to the applicants for showing their posters.

Submit an abstract today for the Synthetic and Systems Biology Summer School & Workshop (SSBSS 2017):

https://easychair.org/conferences/?conf=ssbss2017


inquiries should be directed to ssbss.school at gmail.com
http://www.taosciences.it/ssbss/

* Our sincere apologies if you receive multiple copies of this announcement *

Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters  for SSBSS 2017.  
Together we will make SSBSS a great event!



From Max.Riesenhuber at georgetown.edu  Mon Mar 20 06:19:09 2017
From: Max.Riesenhuber at georgetown.edu (Max Riesenhuber)
Date: Mon, 20 Mar 2017 06:19:09 -0400
Subject: Connectionists: Workshop announcement: Hierarchical Multisensory
 Integration: Theory and Experiments
Message-ID: <CAA+QXxk-qFUFX8dpkzquKjkk68b9-5J9xPOGAJYnBRt89O3_dg@mail.gmail.com>

*Hierarchical Multisensory Integration: Theory and Experiments*Barcelona,
Spain, June 18-19, 2017
The ability to map sensory inputs to meaningful semantic labels, i.e., to
recognize objects, is foundational to cognition, and the human brain excels
at object recognition tasks across sensory domains. Examples include
perceiving spoken speech, reading written words, even recognizing tactile
Braille patterns. In each sensory modality, processing appears to be
realized by multi-stage processing hierarchies in which tuning complexity
grows gradually from simple features in primary sensory areas to complex
representations in higher-level areas that ultimately interface with
task-related circuits in prefrontal/premotor cortices.

Crucially, real world stimuli usually do not have sensory signatures in
just one modality but activate representations in different sensory
domains, and successfully integrating these different hierarchical
representations appears to be of key importance for cognition. Prior
theoretical work has mostly focused on tackling multisensory integration at
isolated processing stages, and the computational functions and benefits of
*hierarchical* multisensory interactions are still unclear. For instance,
what characteristics of the input determine at which levels of two linked
sensory processing hierarchies cross-sensory integration occurs? Can these
connections form through unsupervised learning, just based on temporal
coincidence? Which stages are connected: For instance, is there selective
audio-visual integration just at a low level of the hierarchy, e.g., to
enable letter-by-letter reading, or even earlier levels at the level of
primary sensory cortices, with multisensory selectivity in higher
hierarchical levels then resulting from feedforward processing within each
hierarchy, or are there selective connections at multiple hierarchical
levels? What are the computational advantages of different cross-sensory
connection schemes? What are roles for ?top-down? vs. ?lateral? inputs in
learning cross-hierarchical connections? What are computationally efficient
ways to leverage prior learning from one modality in learning
hierarchical representations
in a new modality?
The workshop will gather a small group of experts to informally  exchange
the latest ideas and findings, both experimental and theoretical, in the
field of multisensory integration. It will consist of two days packed with
talks by invited speakers as well as discussions. There will also be a
poster session. Researchers, postdocs and graduate students interested in
multisensory integration and hierarchical processing are all invited to
apply. Click here
<http://eventum.upf.edu/event_detail/8963/sections/6797/event-details.html>
 (http://eventum.upf.edu/event_detail/8963/detail/pire-workshop_summer-
school-2017.html) for more information on the event and to register.

This event is jointly organized by the Center for Brain and Cognition at
the Universitat Pompeu Fabra in Barcelona and Georgetown University, with
funding from the National Science Foundation and the Spanish Ministry of
Economy, Industry and Competitiveness.

-- 
Maximilian Riesenhuber
Lab for Computational Cognitive Neuroscience
Department of Neuroscience
Georgetown University Medical Center
Research Building Room WP-12
3970 Reservoir Rd., NW
Washington, DC 20007

phone: 202-687-9198 * email: max.riesenhuber at georgetown.edu
<mr287 at georgetown.edu>
http://maxlab.neuro.georgetown.edu
public key ID 0x8696063709CCE3BB
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From sahil.moza at gmail.com  Mon Mar 20 07:06:22 2017
From: sahil.moza at gmail.com (Sahil Moza)
Date: Mon, 20 Mar 2017 16:36:22 +0530
Subject: Connectionists: Course announcement: CAMP@Bangalore 2017
Message-ID: <CA+8cvPx-yJMdfVnfFjonSPVOKvQrG262LX0fDNXc3bjvxDeDYg@mail.gmail.com>

We would like to announce CAMP at Bangalore 2017 from 19 July 2017 to 3
August 2017.
Please see the course website at  http://camp.ncbs.res.in/

CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at
NCBS, Bangalore) is a 16-day summer school on the theory and
simulation of learning,
memory and plasticity in the brain. The course consists of four modules
covering sub-cellular electrical models, micro-circuits and network models,
detailed models with electrical and chemical components, and systems level
models, all with an emphasis on learning, memory and plasticity. All
modules will have their own hands-on projects.

Students worldwide are encouraged to apply. Accommodation and food will be free
for the selected students. There is no registration fee.
Students are advised to obtain independent travel grants.

Confirmed instructors include:

Andrew Holmes (National Institutes of Health, Bethesda, Maryland)
Arvind Kumar (KTH, Stockholm)
Avrama Kim Blackwell (George Mason University, Virginia)
Joshua A. Gordon (National Institute of Mental Health, Bethesda, Maryland
Rishikesh Narayanan (Indian Institute of Science, Bangalore)
Sachin Deshmukh ( Indian Institute of Science, Bengaluru)
Suhita Nadkarni (Indian Institute of Science Education and Research, Pune)
Sumantra Chattarji (NCBS, Bangalore)
Upinder Bhalla (NCBS, Bangalore)

Course Organizers:
Upinder Bhalla (NCBS, Bangalore)
Arvind Kumar (KTH Stockholm)
Rishikesh Narayanan (Indian Institute of Science, Bangalore)

-- 
Sahil Moza
PhD student
National Centre for Biological Sciences,
TIFR, Bangalore, India
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From Eirini.Mavritsaki at bcu.ac.uk  Mon Mar 20 11:42:03 2017
From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki)
Date: Mon, 20 Mar 2017 15:42:03 +0000
Subject: Connectionists: =?windows-1252?q?3_years_funded_PhD_in__oscillato?=
 =?windows-1252?q?ry_behaviour_in_Alzheimer=92s_disease_to_establish_bioma?=
 =?windows-1252?q?rkers=2C_Deadline_28th_of_April_2017?=
Message-ID: <3FCD70F47E1E99449079BAD1F20D729C01DDACC651@EXMBXCC.staff.uce.ac.uk>

3 years funding PhD
Investigating oscillatory behaviour in Alzheimer?s disease to establish biomarkers: an EEG and computational programme of PhD study

Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English.

Project Synopsis:
This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri).  The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier?s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer?s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer?s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model.

The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University.  CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects.

The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team.

For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki at bcu.ac.uk<mailto:Eirini.mavritsaki at bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman at bham.ac.uk<mailto:H.Bowman at bham.ac.uk> ).
 For application please see below, deadline of application 28th of April.

Candidate Qualification and Specifications:
Essential

?  The applicant should hold a good undergraduate honours degree (First or 2:1) in related area.

?  The applicant should have experience of computational models, evidenced by previous work or masters degree.

?  A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules).

?  Experience in C++ and Matlab.

Desirable

?  A Masters? degree in research methods, psychology or computational modelling

Application Process (Deadline of application 28th of April)
You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees
Please feel free to contact us if you have any questions for the application and to express interest.




~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Eirini Mavritsaki, PhD, CPsychol
Senior Lecturer in Cognitive Psychology
Director of Research in the School of Social Sciences

Department of Psychology
Faculty of Business Law and Social Sciences
Birmingham City University
The Curzon Building
4 Cardigan Street
Birmingham
B4 7BD
eirini.mavritsaki at bcu.ac.uk<mailto:eirini.mavritsaki at bcu.ac.uk>
0121 331 6361
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


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From Eirini.Mavritsaki at bcu.ac.uk  Mon Mar 20 11:45:05 2017
From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki)
Date: Mon, 20 Mar 2017 15:45:05 +0000
Subject: Connectionists: 3 years funding Phd in New insights into ADHD
 through behavioural and modelling studies, Deadline 28th of April 2017
Message-ID: <3FCD70F47E1E99449079BAD1F20D729C01DDACC697@EXMBXCC.staff.uce.ac.uk>

3 years funded PhD
New insights into ADHD through behavioural and modelling studies
Applications are invited for a 3-year PhD studentship within the Division of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English.

Project Synopsis:
There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study. The PhD is in collaboration with Prof. John Clibbens and Dr Amy Cook.

The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects.

For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki at bcu.ac.uk<mailto:Eirini.mavritsaki at bcu.ac.uk>).
For application and interview dates please see below, Deadline of Application 28th of April.

Candidate Qualification and Specifications:
Essential

?  The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic.

?  A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules).

?  The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks.

?  The applicant should enjoy working with children.

?  Experience in C++ and/or Matlab.
Desirable

?  A Masters' degree in research methods, psychology or a computational modelling.

?  Work experience (voluntary or paid) in schools or experience working with children.

?  Access to a car and a valid driving licence.

?  Computational modelling experience.

Application Process (Deadline of application 28th of April)
You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees
Please feel free to contact us if you have any questions for the application and to express interest.



~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Eirini Mavritsaki, PhD, CPsychol
Senior Lecturer in Cognitive Psychology
Director of Research in the School of Social Sciences

Department of Psychology
Faculty of Business Law and Social Sciences
Birmingham City University
The Curzon Building
4 Cardigan Street
Birmingham
B4 7BD
eirini.mavritsaki at bcu.ac.uk<mailto:eirini.mavritsaki at bcu.ac.uk>
0121 331 6361
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


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From srikanth.ramaswamy at epfl.ch  Mon Mar 20 13:16:54 2017
From: srikanth.ramaswamy at epfl.ch (Ramaswamy Srikanth)
Date: Mon, 20 Mar 2017 17:16:54 +0000
Subject: Connectionists: =?utf-8?q?Call_for_participation_in_the_Frontiers?=
 =?utf-8?q?_Research_Topic_=E2=80=9CNeuromodulation_of_Circuits_in_Brain_H?=
 =?utf-8?q?ealth_and_Disease=E2=80=9D?=
Message-ID: <51FBFE74-A87B-4261-81A4-F102817C052F@epfl.ch>

We would like to invite you to consider contributing an article to the Frontiers research topic ?Neuromodulation of Circuits in Brain Health and Disease?.

The research topic is hosted by: Srikanth Ramaswamy, Henry Markram, Mriganka Sur, Anita Disney, Menahem Segal, Michael E Hasselmo, Seung-Hee Lee,  Alexander Thiele, and Amy F T Arnsten.

The overarching goal of this research topic is to rekindle the field of neuromodulation by providing a state-of-the-art and unifying view of the mechanisms by which a diversity of neurotransmitters and neuromodulators such as acetylcholine (ACh), dopamine (DA), noradrenaline (NE), serotonin (5-HT) and histamine (HA) - the master switches - control genes, proteins, neurons and glia, dendrites, synapses, and emergent states in neural circuits across different brain regions in health and disease.

Concretely, our hope is that this research topic will a) establish an up to date view of neuromodulatory control of brain states by ACh, DA, NE, 5-HT, and HA that is encyclopedic in breadth and depth, and b) establish future research directions.

Additionally, we also plan to organize a conference to discuss the state-of-the-art and future of neuromodulation research. Contributing authors to this research topic will be invited to present at the conference. The conference will be held at the EPFL campus in Lausanne, Switzerland in September 2017 and further details will be sent out in due course.

Frontiers research topics initially require the submission of an abstract of your work, which will be considered by the topic editors to determine if it falls within the goals of the research topic. Approved abstracts will then be invited to submit a complete manuscript.

Depending on the article type, Frontiers has article processing charges (APCs). They range from free to 2490$ for original research articles or reviews (please see http://home.frontiersin.org/about/publishing-fees). If submitted to a Research Topic within the deadline there is a 15% reduction for some article types. Frontiers also has a waiver program so that APCs do not stand in the way of science.

Key dates for this research topic are as follows:

1. Abstract submission deadline ? 1st May 2017
2. Manuscript submission deadline ? 1st July 2017

We very much hope to include your valuable work in this area within this research topic to help make it a key reference and a new resource for neuromodulation research.

Yours in Neuroscience,

Srikanth Ramaswamy
Henry Markram
Mriganka Sur
Anita Disney
Menahem Segal
Michael Hasselmo
Seung-Hee Lee
Alexander Thiele
Amy Arnsten
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From ncasan at sg.uji.es  Mon Mar 20 17:39:34 2017
From: ncasan at sg.uji.es (=?UTF-8?B?R3VzdGF2byBBZG9sZm8gQ2FzYcOxIE7DusOxZXo=?=)
Date: Mon, 20 Mar 2017 22:39:34 +0100
Subject: Connectionists: Fwd: CFP IJCNN 2017 Workshop on 'Developmental
 Plasticity and Evolutionary Robotics', Anchorage, May 19, 2017 (Half day)
In-Reply-To: <9635A73E-BC32-4AAB-8417-C3FFA114FAF0@uji.es>
References: <9635A73E-BC32-4AAB-8417-C3FFA114FAF0@uji.es>
Message-ID: <CAEQgE+5uvrPQpkuse87JQPhvkAfkFA2SAGtK3EmHjAyPXTUZRA@mail.gmail.com>

        Call for Papers  **** EXTENDED DEADLINE****

IJCNN 2017 Workshop on 'Developmental Plasticity and Evolutionary
Robotics', Anchorage, May 19, 2017 (Half day)

You are kindly invited to contribute to the IJCNN 2017 Half day Workshop on
'Developmental Plasticity and Evolutionary Robotics' which will be held in
Anchorage, on May 29, 2017 in conjunction with the 2017 International Joint
Conference on Neural Networks:

http://www.ijcnn.org/workshops

This workshop will address the impact that developmental plasticity can
have on evolutionary robotics from a multidisciplinary perspective. Given
its fundamental role in driving diversification and speciation, this
emerging and growing area of research can possibly contribute to a new
paradigm in developmental and evolutionary robotics. We will discuss how
developmental (phenotypic) plasticity can play a major role in emerging
paradigms in evolutionary robotics. Recent progress in evolutionary biology
suggests that the interplay between robotics research and the current
understanding of the plasticity mechanisms underlying the development of
living organisms is a very promising track to be followed. Interaction
between the two fields is useful for both evolutionary robotics, which can
take inspiration from biological solutions to engineering problems, and
evolutionary biology, that can benefit from artificial emulation of
biological mechanisms which can prove the validity of research hypothesis.

Read more here: http://robinlab.uji.es/workshop-developmental-
plasticity-and-evolutionary-robotics
<http://robinlab.uji.es/worshop-developmental-plasticity-and-evolutionary-robotics>

**** Submission information ****

Please send your abstracts to <pobil at uji.es>, as an attached PDF file.
Please include [IJCNN_WS] in the subject

Important Dates:

April 2nd : Abstract Submission Deadline
April 10th, 2017: Notification of Acceptance

Abstract Format: 1 to 2 pages, plus references, in two-column regular IJCNN
paper format.

Accepted contributions will be presented at the workshop (15-min oral
presentations)

More details at the website above (it will be kept updated)

**** Workshop format ****
The workshop will be organized in such a way as to generate fruitful
discussions, it will consist of invited presentations (30 min. each) and
regular presentations (15 min. each) with a significant amount of
additional time for a panel discussion.

**** Proceedings ****
Proceedings will consist of accepted and invited contributions in final
form, the conclusions resulting from the discussions, along with other
relevant materials.

We look forward to your active participation

All the best
Angel and Fumiya
******************

Angel P. del Pobil
Department of Engineering and Computer Science
Robotic Intelligence Laboratory
Jaume-I University, Castellon, Spain
pobil at uji.es

Fumiya Iida
Department of Engineering
Bio-Inspired Robotics Laboratory
University of Cambridge, Cambridge, UK
fi224 at cam.ac.uk
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From arokem at gmail.com  Mon Mar 20 17:54:08 2017
From: arokem at gmail.com (Ariel Rokem)
Date: Mon, 20 Mar 2017 14:54:08 -0700
Subject: Connectionists: Call for papers: Neuroscience in Python --
 mini-symposium at the Scientific Computing in Python conference,
 2017 (Scipy), July 10th-16th, UT Austin
In-Reply-To: <CA+X4w0wkCpBruCNftxq1=snG84wJKa0aUDdTQDugTDUk2c84SQ@mail.gmail.com>
References: <CA+X4w0wkCpBruCNftxq1=snG84wJKa0aUDdTQDugTDUk2c84SQ@mail.gmail.com>
Message-ID: <CA+X4w0w23X5xfy3efKquWaRYHYZ2CSkHc5FC4kEAhYq30dr7Nw@mail.gmail.com>

The deadline for submission of talk proposals for the *Neuroscience in
Python *mini-symposium at *Scipy* has been extended to March 30th!

For details and submission: http://scipy2017.scipy.org/ehome/220975/493425/

On Mon, Mar 6, 2017 at 9:21 AM, Ariel Rokem <arokem at gmail.com> wrote:

> SciPy 2017, the sixteenth annual Scientific Computing with Python
> conference, will be held this July 10th-16th in Austin, Texas. SciPy is a
> community dedicated to the advancement of scientific computing through open
> source Python software for mathematics, science, and engineering. The
> annual SciPy Conference allows participants from all types of organizations
> to showcase their latest projects, learn from skilled users and developers,
> and collaborate on code development.
>
> This year?s conference will feature a mini-symposium on Neuroscience in
> Python. Developers and scientists using Python to answer questions about
> the brain at any scale, and using any experimental/computational method,
> are invited to submit their proposals to participate and present their work
> at the conference
>
> For details and submission: http://scipy2017.scipy.org/eho
> me/220975/493425/
>
> Important dates:
>
> Abstract submission deadline: March 27th
>
> Notification of acceptance: May 2nd
>
>
> Chairs:
>
> Olivia Guest, University College London
>
> Ariel Rokem, The University of Washington eScience Institute
>
>
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From pierre-yves.oudeyer at inria.fr  Mon Mar 20 17:54:21 2017
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Mon, 20 Mar 2017 22:54:21 +0100
Subject: Connectionists: [job] Call for postdoc application in Intrinsically
	Motivated Deep Reinforcement Learning, at Flowers Lab,
	Inria (Bordeaux, France)
Message-ID: <C8139084-9F8D-4311-A31C-9D4F59C94AA4@inria.fr>


[We apologize if you receive multiple copies of this message]

Call for postdoc application in Intrinsically Motivated Deep Reinforcement Learning, at Flowers Lab, Inria (Bordeaux, France)

Deadline: 30th march
Eligibility: candidates should have obtained their PhD diploma after 1st september 2015
https://flowers.inria.fr

We are searching outstanding candidates for a postdoc (16 months) who will be working on algorithms 
for lifelong Deep Learning for robotics, and in particular:
- unsupervised or self-supervised deep learning
- generative networks such as GANs and/or variational auto-encoders
- deep reinforcement learning for robotic control
- Intrinsic motivation and curiosity
- multi-task reinforcement learning, auxiliary tasks

Selected candidates will have the opportunity to work with one of the robotics platforms of the Flowers lab, including
several Poppy Humanoid robots and starting from the experimental setup that was runner up for the NIPS 2016 demonstration award, 
and showing intrinsically motivated multi-task reinforcement learning in real-time on real robots, with interaction with humans 
(http://goo.gl/03FW4k), or the Baxter humanoid robot (http://goo.gl/nSS7Yp).

Candidates should already have shown very strong experience and achievements, shown by publications in top-tier AI/machine learning
conferences and journals (e.g. NIPS, ICML, ICLR)  in either:
- deep learning (both theory and practical implementations)
- Reinforcement learning for policy learning of parameterized skills in robotics

How to apply
===========

CVs and letters of motivation should be sent to Pierre-Yves Oudeyer (pierre-yves.oudeyer at inria.fr) before 30th march.
The successful candidate would begin to work in september 2017.
Deadline: 30th march
Eligibility: candidates should have obtained their PhD diploma after 1st september 2015

Pierre-Yves Oudeyer 
Research director, Inria
Head of Flowers Lab
Inria and Ensta ParisTech
http://www.pyoudeyer.com
https://flowers.inria.fr

More info:

The Flowers Lab: developmental robotics and lifelong multitask machine learning
===================================================================

The Flowers Lab, headed by Pierre-Yves Oudeyer, gathers a team of ~20 members and has been one of the pioneers of developmental robotics and lifelong machine learning
and artificial intelligence in the last decade, in particular through developping models of intrinsically motivated learning of repertoires of skills that have both contributed 
to advance understanding of human curiosity and development, and to advance incremental online multitask machine learning techniques in difficult high-dimensional 
robotic spaces. 

This work in the Flowers lab is conducted in the context of large international projects (e.g. ERC grant, European projects 3rdHand and DREAM, HFSP project Neurocuriosity),
with interdisicplinary collaborations with other labs in neuroscience, psychology, machine learning and robotics. The successful candidates would be directly
involved in these international collaborations. 

The Flowers lab has recently spin-off the Pollen Robotics startup company, and is involved in multiple collaborations with industrials through Inria's strong
support towards impacting both science and industry. 

Inria and EnstaParistech
===================

The lab is within Inria, which is a prestigious, and also the largest, public European research insitution focused on computer science, mathematics and their applications.
Inria's teams and researchers (> 2800 employees) have received prestigious awards, coordinate many international projects, and have created strong innovations now used in many
parts of industry. Inria research center in Bordeaux gathers around 300 researchers. 
The Flowers Lab is also associated to EnstaParisTech, which is a prestigious French engineering school (university).

Bordeaux 
========

The Flowers lab in Bordeaux is located in a great building on the border of one of the world most famous vineyard, and 10mn by tram from Bordeaux town center
(and 2 hours from Paris through high-speed trains): https://www.inria.fr/en/centre/bordeaux
Bordeaux has been recently rated by Lonely Planet as the world's best city to visit: http://www.independent.co.uk/travel/news-and-advice/best-cities-in-the-world-top-10-lonely-planet-bordeaux-cape-town-la-a7379066.html
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From senn at pyl.unibe.ch  Tue Mar 21 08:44:01 2017
From: senn at pyl.unibe.ch (Walter Senn)
Date: Tue, 21 Mar 2017 13:44:01 +0100
Subject: Connectionists: Postdoc and PhD position on Biological Deep Learning
Message-ID: <6AC4978E-246D-425E-A818-CBFF3A64CE4A@pyl.unibe.ch>

Postdoc and PhD position on Biological Deep Learning

Dear all

A postdoc and PhD position devoted to the implementation of error-backpropagation-like algorithms by cortical microcircuits is available in our Computational Neuroscience lab at University of Bern, Switzerland.

The project theoretically explores how cortical pyramidal neurons with their dendrites and surrounding interneurons can be embedded into a local microcircuit to support error-correction learning. The cortical microcircuits are stacked to multi-layer recurrent networks to be used for deep learning. The goal is to find network architectures that can process ongoing streams of sensory inputs while feedback signaling and synaptic plasticity are continuously operating.

The project is part of a collaboration with Yoshua Bengio (University of Montreal) on deep learning and with Matthew Larkum (Humboldt University Berlin) on dendritic processing by cortical pyramidal neurons.

The research in the Senn lab is devoted to models of synaptic plasticity and dendritic integration in the context of learning and behavior. We have recently suggested to consider ?Learning by the dendritic prediction of somatic spiking? (Neuron 2014) that assigns an intrinsic computational task to neurons and dendrites. This concept was extended to include dendritic nonlinearities that gives the dendritic tree the functionality of an error-backpropagating network (PLoS Comp Biol 2016, see also http://www.physio.unibe.ch/~senn/group/ <http://www.physio.unibe.ch/~senn/group/>). These ideas will be extended to cortical microcircuits and deep learning.

Ideal candidates have a strong background in machine learning, computational neuroscience and applied mathematics. Please send CV, publication list, letter of motivation and addresses for 3 reference letters by April 7 to Walter Senn (senn at pyl.unibe.ch <mailto:senn at pyl.unibe.ch>) and Sabine Herzog (herzog at pyl.unibe.ch <mailto:herzog at pyl.unibe.ch>).

With best regards
Walter Senn
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From feisha.work at gmail.com  Tue Mar 21 08:45:05 2017
From: feisha.work at gmail.com (Fei Sha)
Date: Tue, 21 Mar 2017 05:45:05 -0700
Subject: Connectionists: Postdoctoral Positions at University of Southern
	California
Message-ID: <CALcpSDayvzNU8zGL9W23JL9NJusTot8E2vJW_soj+s-BMzzGNw@mail.gmail.com>

Dear all,

The machine learning and artificial intelligence lab at the University of
Southern California (USC), led by Fei Sha (http://www-bcf.usc.edu/~feisha)
has multiple open positions for postdoctoral researchers. We seek
applicants from all areas of machine learning and artificial intelligence
(with a focus on computer vision, natural language processing and other
emerging applications). The candidates must hold a PhD in computer science,
statistics or a closely related discipline, and have a strong publication
record in the very top conferences and journals in the areas of machine
learning and artificial intelligence. The expected start date is July, but
is also flexible.

The postdoctoral researcher is to interact and collaborate closely with
both the faculty member and graduate students in the lab, which consists of
about 10+ students (PhD, M.Sc. and undergraduates) and postdocs. While the
lab has a rich set of ongoing research projects, the postdoctoral
researchers are also encouraged to be independent and develop his/her own
research agenda that complements existing research endeavors. The quality
of the research is the ultimate criterion.

The lab is an integral part to the Computer Science Department at USC.
The CS department is rapidly growing with core strengths in machine
learning and artificial intelligence. For a list of faculty members and
their research interests, please see https://www.cs.usc.edu/ . USC has also
established a machine learning center: http://mascle.usc.edu/ , engaging
many faculty members and students broadly from other departments including
mathematics, statistics, electrical engineering, industrial system and
engineering.

The campus is located in the center of Los Angeles, with convenient access
to beaches / mountains / national parks and a fantastic assortment of
cultural diversity and activities throughout the metropolitan LA area. USC
is also in close proximity to many other renowned academic institutions
such as Caltech and several UC campuses (UCLA, UCI, UCSD, UCR are within
driving distances). The Southern California Machine Learning Symposium (
http://dolcit.cms.caltech.edu/scmls/) has been held twice (Fall and Spring
2016) and the next one will occur at USC in Fall 2017.

Interested candidates should email Fei Sha (feisha at usc.edu) with their
CVs, one-page research statements and a list of reference letter writers.
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From smart at neuralcorrelate.com  Tue Mar 21 09:27:28 2017
From: smart at neuralcorrelate.com (Susana Martinez-Conde)
Date: Tue, 21 Mar 2017 09:27:28 -0400
Subject: Connectionists: call for illusion submissions: the 13th Best
	Illusion of the Year Contest
Message-ID: <031301d2a246$e7342390$b59c6ab0$@neuralcorrelate.com>

****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 13TH ANNUAL BEST ILLUSION OF
THE YEARSM CONTEST****

 <http://illusionoftheyear.com> http://illusionoftheyear.com

We are happy to announce the 13th edition of world's Best Illusion of the
YearSM Contest!! Submissions are now welcome!   

In 2015, the Best Illusion of the YearSM Contest became an annual online
event, with the goal of bringing the creativity of the illusion creator
community all around the world. Anybody with an internet connection can now
participate! No matter where you live, you can be a contestant, and/or vote
for the Top 3 winners!

 

Contestants are invited to submit 1-minute YouTube videos featuring novel
illusions (unpublished, or published no earlier than 2016) of all sensory
modalities (visual, auditory, etc.) and/or cognitive nature.

 

The content of the 1-minute video presenting your illusion is solely up to
you, and the only requirement is that it wows all viewers! Some examples
include, but are not limited to:

*        -A slide presentation, or succession of images, with a voice over
(and/or written text, if you prefer)

*        -A video of yourself describing your illusion

*        -A video animation/enactment of your illusion

An international panel of impartial judges will rate all the videos and
narrow them down to the Top 10. Then, online voters around the world will
choose their favorite illusions from the Top 10 finalists. All Top 10
finalists will receive a commemorative plaque. In addition, the Top 3
winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for
second place, and $1,000 USD for third place.

 

The Judge Panel will rate illusions according to:

*        -Significance to our understanding of the human mind and brain

*        -Simplicity of the description

*        -Sheer beauty

*        -Counterintuitive quality

*        -Spectacularity

Submissions will be held in strict confidence by the Judge Panel. Only the
Top 10 illusions will be posted online, to allow worldwide voting.
Participation in the Best Illusion of the YearSM Contest does not preclude
you from also submitting your work for publication elsewhere. By
participating in the Best Illusion of the YearSM Contest you agree to have
your illusion posted on the Contest website, if selected among the Top 10,
and included in press releases and other promotional materials/fundraising
initiatives for the Contest. You (and your co-authors, if appropriate) will
retain the full copyright of your illusion, and receive full credit as
illusion creator(s).

 

Illusions submitted to previous editions of the contest can be re-submitted
to the 2017 Contest, as long as they meet the above requirements and were
not among the Top 10 finalists in previous years.

 

You can send your 1-minute video to Susana Martinez-Conde via email (
<mailto:smart at neuralcorrelate.com> smart at neuralcorrelate.com) until May 26,
2017.

 

On behalf of the Executive Board of the Neural Correlate Society:
Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez,
Xoana Troncoso, Peter Tse

 

--------------------------------------

Susana Martinez-Conde, PhD

Professor of Ophthalmology, Neurology, and Physiology & Pharmacology

Empire Innovator Scholar

Director, Laboratory of Integrative Neuroscience

State University of New York (SUNY)

Downstate Medical Center

450 Clarkson Ave, Brooklyn NY 11203, USA

Email: smart at neuralcorrelate.com <mailto:smart at neuralcorrelate.com> 

Phone: +1 718-270-4520

http://smc.neuralcorrelate.com <http://smc.neuralcorrelate.com/> 

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From fanny.ficuciello at unina.it  Tue Mar 21 10:04:49 2017
From: fanny.ficuciello at unina.it (Fanny Ficuciello)
Date: Tue, 21 Mar 2017 15:04:49 +0100
Subject: Connectionists: ICRA 2017 Workshop: "Learning and control for
 autonomous manipulation systems: the role of dimensionality reduction"
Message-ID: <20170321150449.16455ckoldl6tmv5@inbox.unina.it>

[Apologies for multiple copies of this announcement]



ICRA 2017 Workshop on Learning and control for autonomous manipulation  
systems: the role of dimensionality reduction
--------------------------------------------------------------------------------------------------------------------


Dear colleagues,
we invite you to submit your contributions to the ICRA 2017 Full Day  
Workshop "Learning and control for autonomous manipulation systems:  
the role of dimensionality reduction".
The Workshop will be held at ICRA 2017 on June 2, 2017 from h. 8:30 to 17:00.


Workshop webpage: http://www.icra2017-ws-lecom.unina.it/


===============================================================================

Call for Papers
---------------

We invite you to submit short papers (2-4 pages) or full papers (6  
pages), using the standard ICRA template.
Please send your contribution in pdf format to lecom.icra2017 at gmail.com.
The submissions will be reviewed based on relevance and quality.
Multimedia material is optional and can be sent as a zip file (if  
<10MB) or with a google drive/dropbox/youtube link.
Accepted contributions will be included in the workshop program with a  
spotlight presentation followed by an interactive session.

The workshop contributions will appear as online proceedings.
Contributors to the workshop will be invited to submit extended
versions of the manuscripts to a special issue (publisher to be  
announced during the Workshop).
===============================================================================

Call for Demos
--------------

We invite you to show a demo of your recent work. In order to  
participate, please send a 1-page description of the demo in a pdf  
format to lecom.icra2017(at)gmail.com.
Optionally, a video can be included in a zip file (if < 10MB) or  
shared with a suitable application. Please include in your proposal  
basic requirements such as screens, plugs, and desks.

===============================================================================


Important Dates:
----------------

Abstract submission: 7 April, 2017

Proposal for Demo Submission: 7 April,

Notification of acceptance: 21 April, 2017

Workshop: 2 June, 2017



===============================================================================

Topic and Objectives
--------------------


New generation of robots, to serve and substitute humans in various
kinds of application, should have comparable abilities to deftly
move, autonomously learn and make decisions. Analytical approaches to
manipulation require precise model of the objects, accurate
description of the task, and evaluation of object affordance, which
all make the process time consuming. To learn and execute new tasks
just as humans do, i.e. through trial-and-error and compliant
adaptation to the environment, human-like physical interaction is
crucial. Therefore, advanced mechanical designs such as tendon-driven
actuation, underactuated compliant mechanisms and
hyper-redundant/continuum robots might exhibit enhanced capabilities
of adapting to changing environments. As a matter of fact, high
degrees of freedom (DoF) and compliance increase the complexity of
modelling and control of these devices. To this purpose, the adoption
of coordinated motion patterns leads to a problem of reduced
dimension. As a consequence, model-based control strategies of
manipulation activities can be learned from human experience and,
relying on dimensionality reduction, can be integrated with
model-free reinforcement learning algorithms which have the potential
to learn from actions.

The purpose of the workshop is to portray the level of autonomy that
anthropomorphic robotic systems have reached today and to chart
possible paths towards improved manipulation capabilities by means of
self-adaptability to the environment. The workshop intends to
spotlight how autonomy depends on the ability to adapt to the
environment by learning from experience, and how, for this purpose,
physical interaction is critical and consequently smart design makes
the difference. This workshop aims at discussing the integration of
learning, control and design aspects that should not be separated in
the complex problem of robotic manipulation. Indeed, these aspects
can interact and take advantage of one another being inspired by the
functioning, reasoning and physical resemblance of human beings. Of
course, in this contest the perception is involved in the process and
the integration of visual and tactile sensing is a crucial issue
during the interaction with the environment.

Some of the questions we will try to answer are:

-How human experience can help to develop new paradigm for  
anthropomorphic devices control
-How a synergistic approach can help to simplify modeling of high  
degrees of freedom systems
-How dimensionality reduction will help the learning process
-How vision and tactile information can be integrated in the learning  
process and in control strategies

===============================================================================

Topics of interest include but not limited to the following
-----------------------------------------------------------

-Dimensionality reduction in anthropomorphic design: mechanical and  
motor-synergies
-Model of reduced dimensions learned from humans for control  
simplification of high degrees of freedom devices
-Synergy-based learning and control strategies -Learning visual  
representations for perception-action systems
-Learning grasping and manipulation from tactile information
-Vision and force integration for autonomous control of manipulation systems
-Dynamic movement primitives
-Imitation learning and Reinforcement learning

===============================================================================


Organizers
----------

Dr. Fanny Ficuciello
PRISMA Lab
Department of Electrical Engineering and Information Technology
University of Naples Federico II via Claudio 21, 80125, Naples, Italy
phone: +39 081 7683916
fanny.ficuciello at unina.it
http://wpage.unina.it/fanny.ficuciello

Dr. Sylvain Calinon
Idiap Research Institute
Centre du Parc
Rue Marconi 19, PO Box 592, CH-1920 Martigny, Switzerland
phone: +41 27 721 77 61
sylvain.calinon at idiap.ch
http://calinon.ch/

Dr. Pietro Falco
Marie Curie Fellow
Technische Universit?t M?nchen
Department of Dynamic Human-Robot-Interaction for Automation Systems
Karlstra?e 45, 5. OG. 80333 M?nchen,
phone: +49(89) 289-26885
pietro.falco at tum.de
https://www.hri.ei.tum.de/en/team/pietro-falco/










----------------------------------
PhD. Eng. Fanny Ficuciello
Dipartimento di Ingegneria Elettrica e
Tecnologie dell'Informazione
Universit? di Napoli Federico II
Via Claudio 21, 80125 Napoli, ITALY
Tel: +39 0817683186
e-mail: fanny.ficuciello at unina.it
Skype: fficuciello
URL: http://wpage.unina.it/fanny.ficuciello/
----------------------------------





From malin.sandstrom at incf.org  Tue Mar 21 10:17:37 2017
From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=)
Date: Tue, 21 Mar 2017 15:17:37 +0100
Subject: Connectionists: Call for seed funding proposals for
 neuroinformatics courses and curricula | Apply by April 30
Message-ID: <CAOAt7bb-tUuYbnU2CdnNG+kN8EkoKFXe7OTg72hfUJF8coFGsQ@mail.gmail.com>

Dear all,

INCF* invites applications for seed funding of courses and curricula
related to neuroinformatics. Two categories are available: smaller grants
for BSc or MSc curricula, and bigger grants for courses.

*Curriculum grants* are expected to range from $1000 to $3000. Applicants
should develop a Program of Study for either the Bachelor?s or Master?s
level of study. The application should include: i. Mission statements, ii.
objectives, iii. rationales for the courses included in the Program of
Study, iv. Syllabi for the courses within the Program of Study.

*Course grants* are expected to range from $2000 to $20000. Funds may be
used to support the inclusion of neuroinformatics lectures in existing
courses (fund travel for instructors), support the video recording of
existing neuroinformatics-related courses, and support the development of
neuroinformatics-related training materials (tutorials, demos, etc?), as
well as support the holding of in-person courses and hackathons. All
materials generated under the Course Grants Funding Scheme are to be
deposited in the INCF Training Materials Repository and be released with
permissive licence (eg CC0)

More information:
https://www.incf.org/resources/funding-support/funding-support-for-neuroinformatics-training-and-education-activities
The last day to apply is *April 30*. There are no geographical restrictions
- anyone can apply.

*INCF is an international organization launched in 2005, following a
proposal from the Global Science Forum of the OECD to establish
international coordination and collaborative informatics infrastructure for
neuroscience. The INCF international network currently spans North America,
Europe, Australia and Asia. INCF fosters the global digital
interconnectivity of data, methods and people engaged in brain research to
catalyze insights into brain function in health and disease.

-- 
Malin Sandstr?m, PhD
Community Engagement Officer
malin.sandstrom at incf.org

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels v?g 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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From malin.sandstrom at incf.org  Tue Mar 21 09:49:07 2017
From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=)
Date: Tue, 21 Mar 2017 14:49:07 +0100
Subject: Connectionists: Registration open for Neuroinformatics 2017,
	August 20-21 in Kuala Lumpur
Message-ID: <CAOAt7ba3aL3e2y4SaKaaX-qNAahmuskNmPc2mXRHAvxBB2fimw@mail.gmail.com>

Dear all,

registration is now open for Neuroinformatics 2017, August 20-21 in Kuala
Lumpur. Join us for keynotes from top neuroscientists, poster- and demo
sessions, and community sessions - and maybe as speaker? The Program
Committee will select 24 presentations ? 20 minutes from the submitted
abstracts, within the program subjects below.

Early bird prizes are available until July 2nd. Register here: http://
neuroinformatics2017.org/register/
<http://neuroinformatics2017.org/register/>


*Program highlights **Speaker presentations*:
http://neuroinformatics2017.org/speakers/

   - *Informatics for brain modeling*
   Speakers: Randy McIntosh, Angus Silver
   - *Science gateways and reproducible computing*
   Speakers: Chris Gorgolewski
   - *Large-scale databasing and mega-analyses I*
   Speakers: Jessica Turner
   - *Collaborative neuroscience knowledge building tools*
   Keynote speaker: Maryann Martone, University of California, San Diego
   - *Large-scale databasing and mega-analyses II*
   Speakers: Viren Jain
   - *Knowledge infrastructure*
   Speakers: Lydia Ng, Susanna Sansone
   - *Data standards and reproducibility I*
   Speakers: Satrajit S Ghosh
   - *Machine learning and data mining*
   Keynote speaker: Kristin Branson, Howard Hughes Medical Institute
   Janelia Farm
   - *Data standards and reproducibility II*
   Speakers: Angie Laird
   - *Novel analytics for clinical data*
   Speakers: Alex Fornito,


*Student?*
INCF Malaysia Node is arranging a summer course in Kuala Lumpur, just
before the 2017 INCF Neuroinformatics Congress, sponsored by IBRO and
co-sponsored by INCF. It takes place on August  2-16, and will teach
advanced techniques in brain functional and structural network/connectivity
analysis, including open source pipelines and workflows in neuroimaging
analysis.

Welcome!
Best regards,
Malin Sandstr?m
-- 
Malin Sandstr?m, PhD
Community Engagement Officer
malin.sandstrom at incf.org

International Neuroinformatics Coordinating Facility
Karolinska Institutet
Nobels v?g 15 A
SE-171 77  Stockholm
Sweden
http://www.incf.org
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From djork-arne.clevert at bayer.com  Tue Mar 21 13:07:05 2017
From: djork-arne.clevert at bayer.com (Djork-Arne Clevert)
Date: Tue, 21 Mar 2017 17:07:05 +0000
Subject: Connectionists: Postdoc position on Deep Learning for Drug
 Discovery @ Bayer AG in Germany, Berlin
Message-ID: <5dc590675c1644b2b73f0c4cb3e04be2@BYEX21.de.bayer.cnb>

We are seeking a postdoctoral fellow to work in the area of Deep Learning for Drug Discovery in Germany, Berlin.



The ideal candidate should have profound expertise in developing and testing of Deep Learning architectures in vision or natural language processing, strong coding skills and being familiar with the usual DL frameworks.


For more details about the position and how to apply, see:
https://karriere.bayer.de/de/job/Research-Scientist-Bioinformatics-Machine-Learning-Deep-Learning-m-f--0000190819.html



The project team, consisting of six postdoctoral fellows, will develop a deep learning platform to leverage data in computational chemistry, pharmacokinetics, toxicology and high-content imaging. The project will be supported by one of the top-notch academic groups in this area.

All the best,
Djork Clevert

Djork-Arn? Clevert, PhD
Senior Scientist
______________________________________________

Bayer: Science For A Better Life

Bayer AG
Drug Discovery, Pharmaceuticals
GDD-GTRG-CIPL-Bioinformatics
M?llerstr. 178, Building S190/328
13353 Berlin, Germany

Phone:    +49 30 468 196745
E-mail:    djork-arne.clevert at bayer.com<mailto:djork-arne.clevert at bayer.com>
Web:       http://www.bayer.com<http://www.bayer.com/>

Vorstand: Werner Baumann, Vorsitzender | Liam Condon, Johannes Dietsch, Hartmut Klusik, Kemal Malik, Erica Mann, Dieter Weinand
Vorsitzender des Aufsichtsrats: Werner Wenning
Sitz der Gesellschaft: Leverkusen | Amtsgericht K?ln, HRB 48248


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From 2017.ICAR at gmail.com  Tue Mar 21 02:49:57 2017
From: 2017.ICAR at gmail.com (ICAR 2017)
Date: Tue, 21 Mar 2017 03:49:57 -0300
Subject: Connectionists: ICAR 2017 in Hong Kong and IEEE ICIA 2017 in Macau
Message-ID: <201703210649.v2L6nvAA004634@Gu-c312-Robot.EE.Dal.Ca>

Dear Colleagues and Friends,

ICAR (International Conference on Advanced Robotics) conference is one of the earliest and most influential robotics conference in the world and it is a biennial event. The 18th ICAR will take place in The Chinese University of Hong Kong and Hong Kong Science and Technology Park from July 10 to 12, 2017:
 
http://www.icar2017.org.
 
You are cordially invited to contribute and share your latest achievements in all areas of robotics and automation at ICAR 2017 conference in Hong Kong. Please visit the conference websites for detailed information and the ICAR 2017 important dates are:
 
Full-paper pdf submission due: April 15, 2017

Paper acceptance decision date: June 1, 2017

Accepted final paper submission: June 10, 2017
 
Please visit the website of IEEE ICIA 2017 in Macau SAR, China, from July 18 to 20, 2017, right after ICAR 2017:
 
http://2017.ieee-icia.org
 
and the IEEE ICIA 2017 important dates are:
 
Full-paper pdf submission due: May 1, 2017

Paper acceptance decision date: June 1, 2017

Accepted final paper submission: June 10, 2017

All accepted papers of ICAR 2017 and IEEE ICIA 2017 will be published by IEEE, collected in IEEE Xplore database, and indexed by EI. We have great technical and social programs for you and we look forward to your active contributions and seeing you and your colleagues and friends in Hong Kong and then in Macau in July!
 
Sincerely,

Max Q.-H. Meng, General Chair

Hongliang Ren, ICAR Program Chair

Paolo Fiorini, ICAR Steering Committee Chair

Xinyu Wu, IEEE ICIA Program Chair

Philip Chen, IEEE ICIA Organising Chair

From schurgerlab at gmail.com  Wed Mar 22 06:08:30 2017
From: schurgerlab at gmail.com (Schurger Lab)
Date: Wed, 22 Mar 2017 11:08:30 +0100
Subject: Connectionists: Interdisciplinary post-doctoral position in
	cognitive neuroscience
Message-ID: <CADrgoMqtFBgEeK18AQGBDVU1LpapgrbKzxai2shoHXvffpZDZQ@mail.gmail.com>

-----------------------------------------------------------------------------
Interdisciplinary post-doctoral position in cognitive neuroscience
Brain-behavior forecasting: Neural antecedents of spontaneous
self-initiated movement and the forecasting of behavior based on brain
activity
Starting date: Fall 2017 or Spring 2018
Duration: 2 years (renewable for one additional year)

The French Institute of Health and Medical Research (INSERM) invites
applications for a post-doctoral position in the Cognitive Neuroimaging
Group, at the NeuroSpin Research Center near Paris, France, as part of the
research team of Dr. Aaron Schurger. The Schurger lab focuses on
understanding how decisions are made and actions initiated spontaneously,
without an external sensory cue, and how the relevant causal processes in
the brain are related to the subjective perception of personal causation.
We are also interested in how time series of neural activity can be used to
forecast behavior. We pursue this research using a combination of
behavioral experiments, neuroimaging, computational modeling, time-series
analysis, and machine learning techniques.

Applicants should have a obtained a PhD in a relevant discipline prior to
the starting date.

Essential skills / background:

Signal processing
Computer programming (Matlab, Python, C, C++)
Statistics
Cognitive neuroscience

Other essential skills (at least one of the following):

Prior experience in the estimation of the Hurst exponent (1/f exponent) of
time series data, OR
Strong command of Bayesian statistics

Highly-desirable skills (any one or more of the following):

Neuroimaging modalities (MEG, EEG, fMRI) and associated data-analysis tools
inverse source modeling (EEG and/or MEG)
machine learning
data fitting
computational and/or neural network modeling
behavioral psychophysics

Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners;
high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for
the simultaneous recording of EEG); eye tracking (available for MRI, MEG,
and behavioral experiments); an in-house team of experts in signal
processing and statistical learning; a dedicated staff handling subject
recruitment, scheduling, and payment; various Nespresso devices; and
proximity to Paris.

Applicants should send a CV, letter of motivation (max 2 pages), and three
letters of recommendation (or contact information for three references) via
e-mail to schurgerlab at gmail.com. Review of applicants will begin
immediately and will continue until the position is filled.

The NeuroSpin Research Center is located on the campus of the CEA-Saclay,
near Orsay, about 18 km southwest of Paris. For more information on the
NeuroSpin Research Center and the Cognitive Neuroimaging Group:

http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/departments/neurospin-neurospin
http://www.unicog.org/pm/pmwiki.php
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From schurgerlab at gmail.com  Wed Mar 22 06:13:58 2017
From: schurgerlab at gmail.com (Schurger Lab)
Date: Wed, 22 Mar 2017 11:13:58 +0100
Subject: Connectionists: Post-doctoral researcher in cognitive neuroscience
	(FES/EEG)
Message-ID: <CADrgoMoSo1DSpbbozbX-v21mP7VZp5uJjYNHk3dktPnrqQsK4g@mail.gmail.com>

Post-doctoral researcher in cognitive neuroscience (FES/EEG)
Combined functional electrical stimulation (FES) and electroencephalography
(EEG) study of movement initiation
Starting date: Fall 2017 or Spring 2018
Duration: 1 year (renewable)

The French Institute of Health and Medical Research (INSERM) invites
applications for a post-doctoral or research engineer position in the
Cognitive Neuroimaging Group, at the NeuroSpin Research Center near Paris,
France, as part of the research team of Dr. Aaron Schurger. The Schurger
lab focuses on understanding how decisions are made and actions initiated
spontaneously, without an external sensory cue, and how time series of
neural activity can be used to forecast behavior. We pursue this research
using a combination of behavioral experiments, neuroimaging, computational
modeling, time-series analyses, and machine learning techniques.

We are looking for candidates who have prior experience with functional
electrical stimulation (FES) and electroencephalography (EEG), although
applicants with experience in only one or the other may also be considered.
Experience with magnetoencephalography (MEG) is also desirable. Applicants
should have a obtained a PhD in a relevant discipline prior to the starting
date.

Essential skills / background:

FES and/or EEG (preferably both)
computer programming (MatLab and/or Python)
statistics
signal processing


Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners;
high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for
the simultaneous recording of EEG); eye tracking (available for MRI, MEG,
and behavioral experiments); an in-house team of experts in signal
processing and statistical learning; a dedicated staff handling subject
recruitment, scheduling, and payment; various Nespresso devices; and
proximity to Paris.

Applicants should send a CV, letter of motivation (max 2 pages), and a list
of three references via e-mail to schurgerlab at gmail.com. Review of
applicants will begin on the 15th of May 2017, and will continue until the
position is filled.

The NeuroSpin Research Center is located on the campus of the CEA-Saclay,
near Orsay, about 18 km southwest of Paris. For more information on the
NeuroSpin Research Center and the Cognitive Neuroimaging Group:

http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/departments/neurospin-neurospin
http://www.unicog.org/pm/pmwiki.php
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From abby at ldv.co  Wed Mar 22 11:13:32 2017
From: abby at ldv.co (Abigail Hunter-Syed)
Date: Wed, 22 Mar 2017 11:13:32 -0400
Subject: Connectionists: LDV Entrepreneurial Computer Vision Challenge -
 Accepting Recent CV Projects through March 31
Message-ID: <CAE7iVM9VMDKrAzOtnC4Hy716X7dNRGb2iKcE_zatjH9NK8Nf_A@mail.gmail.com>

The Entrepreneurial Computer Vision Challenge
<http://bit.ly/LDVCompetitions> (ECVC) is part of the LDV Vision Summit
<http://www.ldv.co/visionsummit/> May 24-25, 2017 in NYC.

Apply by *submitting a link to a project you recently worked on*. Examples
include:

   - a key idea behind work accepted at CVPR or ICCV,
   - demo code recently posted on GitHub,
   - an innovative aspect of your thesis proposal,
   - or any interesting idea you've explored through a blog post or social
   media.

Receive valuable feedback from judges <http://bit.ly/ecvcjudges> who are
top computer vision experts like Serge Belongie, Tamara Berg, and Jan Erik
Solem, and leading venture capitalists such as Union Square Ventures and
First Round Capital. Check out the evolving list of 2017 judges
<http://bit.ly/LDVCompetitions>.

Please feel free to share this post and don't hesitate to contact
abby at ldv.co with any questions or comments.

<http://bit.ly/ecvcapp>
Submit a link <http://bit.ly/ecvcapp> by *March 31*.
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From volker.roth at unibas.ch  Wed Mar 22 12:12:37 2017
From: volker.roth at unibas.ch (Volker Roth)
Date: Wed, 22 Mar 2017 16:12:37 +0000
Subject: Connectionists: FW: GCPR 2017 in Basel, Switzerland: CALL FOR PAPERS
In-Reply-To: <E882D2693B8EDE498C3F2E814DC0E9AECD52DD84@urz-mbx-3.urz.unibas.ch>
References: <E882D2693B8EDE498C3F2E814DC0E9AECD52DD84@urz-mbx-3.urz.unibas.ch>
Message-ID: <E882D2693B8EDE498C3F2E814DC0E9AECD5391BB@urz-mbx-3.urz.unibas.ch>

GCPR 2017: CALL FOR PAPERS

GCPR 2017 is the 39th annual symposium of the German Association for Pattern Recognition (DAGM). The conference addresses recent advances in theory, methodology, and applications of pattern recognition, machine learning and computer vision.

Web: https://gcpr2017.dmi.unibas.ch/en/
Main Conference: September 13-15, 2017. Workshops & Tutorials: September 12, 2017
Location: Basel, Switzerland

Important dates
- Submission deadline: April 8, 2017
- Notification: June 12, 2017

Chairs:
Volker Roth (University of Basel)
Thomas Vetter (University of Basel)

Call for papers:

Authors are invited to submit high-quality papers presenting original research. Submitted papers will be reviewed based on the criteria of originality, soundness, empirical evaluation, and presentation. In the long tradition of this conference series, the single track program and poster sessions will provide ample opportunity for open-minded discussions and interaction.

The scope of GCPR 2017 includes, but is not limited to, the following topics:

- Image/video processing, analysis, and computer vision
- Machine learning and pattern recognition
- Mathematical foundations, statistical data analysis and models
- Computational photography and confluence of vision and graphics
- Biomedical image processing and analysis
- Document analysis
- Biometric
- Speech and signal processing
- Applications

The paper length is limited to 10 pages (plus references, at most 2 pages). In addition, supplementary materials (.zip or .pdf) can be submitted. All manuscripts will be subject to a double-blind review process. The proceedings will be published in the Springer LNCS series. The best contributions will receive GCPR awards. Papers can be submitted via: https://cmt.research.microsoft.com/GCPR2017/Default.aspx?ReturnUrl=%2fGCPR2017<https://cmt.research.microsoft.com/GCPR2017/Default.aspx?ReturnUrl=%2FGCPR2017>

Please ensure that the authors are not visible and that the page limits are strictly kept.


We are looking forward to welcome you in Basel.

Volker Roth & Thomas Vetter
















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From stavros.petridis04 at imperial.ac.uk  Wed Mar 22 12:43:26 2017
From: stavros.petridis04 at imperial.ac.uk (Petridis, Stavros)
Date: Wed, 22 Mar 2017 16:43:26 +0000
Subject: Connectionists: PhD Position on Deep Learning for understanding of
 human behaviour at iBUG group, Imperial College London
Message-ID: <DB5PR06MB11896E47B41AAA483144174BB13C0@DB5PR06MB1189.eurprd06.prod.outlook.com>

Dear all,


An exciting opportunity has arisen for one PhD position at the iBUG group (https://ibug.doc.ic.ac.uk/), Imperial College London,

funded from two exciting and recently started H2020 projects: SEWA<http://ibug.doc.ic.ac.uk/projects> (Automatic Sentiment Analysis in the Wild) and

DE-ENIGMA<http://ibug.doc.ic.ac.uk/projects> (Multi-modal Human-robot Interaction for Teaching and Expanding Social Imagination in Autistic Children).

The project may include collaboration with IBM and Honda Research Institute. This will involve building automated,

computer vision and machine learning tools (based on deep learning) for machine understanding  of human interactive

behaviour in naturalistic contexts.



Ideal candidates should have a strong background in machine learning and computer vision.


Fixed Term Appointment for up to 36 months.


Applications should be submitted by midnight GMT April 12th 2017.


For information about the position and how to apply see

https://ibug.doc.ic.ac.uk/media/uploads/documents/phd-advert-sw-dee-03.pdf


All the best,
Stavros

Stavros Petridis,
Research Fellow
Department of Computing
Imperial College London
https://ibug.doc.ic.ac.uk/people/spetridis

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From Sara.Finocchietti at iit.it  Thu Mar 23 06:24:00 2017
From: Sara.Finocchietti at iit.it (Sara Finocchietti)
Date: Thu, 23 Mar 2017 10:24:00 +0000
Subject: Connectionists: PhD position in Marseille,
 France: Neural mechanisms underlying the interlimb transfer of
 motor learning
Message-ID: <CE6F316017E0714F99ECE8BE882B99FC9CB4D95E@IITMXWGE015.iit.local>

PhD position in Marseille, France: Neural mechanisms underlying the interlimb transfer of motor learning, with Dr SARLEGNA and Prof. FELICIAN

A research fellowship has just become available for a PhD student to work in collaboration with Dr. Fabrice SARLEGNA (Institute of Movement Sciences) and Pr. Olivier FELICIAN (Institute of Systems Neuroscience) in Marseille, France. The aim of the project is to study the neural mechanisms underlying the intermanual transfer of sensorimotor adaptation. More specifically, the proposed approach is to assess the motor skills of healthy individuals and patients with lesions of the corpus callosum. Motion capture and neuroimaging techniques will be used, and in addition to providing additional fundamental knowledge, the project should contribute to a better assessment of neurological diseases and to the optimization of motor learning in the context of rehabilitation. The position is funded by the DOC2AMU program of Aix-Marseille University, the largest university in France and the Francophone world.

Detailed information about the project and its scientific rationale is available on the website:

http://doc2amu.univ-amu.fr/en/neural-mechanisms-underlying-the-interlimb-transfer-of-motor-learning

Due to the international specifity of the DOC2AMU program, we are looking for individuals who have not been in France for more than 12 monthd in the last 3 years. Detailed information about the funding and eligibility conditions

http://doc2amu.univ-amu.fr/en/what-is-doc2amu


You will be in charge of conducting research experiments on healthy individuals and neurological patients. Duties will consist in attending professional meetings, recruiting and interviewing research subjects, assisting in the design of psychophysical and neurophysiological experiments, preparing the experimental equipment and protocol, recording and analyzing data, drafting oral presentations and research manuscripts, all under the supervision of F. Sarlegna and O. Felician.

You must hold (or be in the process of completing) a Masters degree or equivalent in neuroscience or affiliated specialties such as biomedical engineering, neuropsychology, experimental psychology, human motor control... Applicants from other relevant backgrounds in engineering, physics or computing science will also be considered provided they demonstrate additional qualifications in neuroscience.

Experience with programming (e.g. Matlab), data collection and analysis (including statistics) and/or human neuroscience techniques (fMRI) is desirable. Applicants should have excellent organizational skills, be highly motivated and enjoy working in a vibrant collaborative research environment. They should be able to communicate effectively in English, with evidence of strong scientific writing skills. The ability or desire to speak French is a plus considering the experiments with patients. Critically, applicants should be passionate about using their expertise for the benefit of patients for whom cross-disciplinary science has the potential to have a positive impact.

You willl work within a team of researchers and clinicians to publish in peer-reviewed journals and disseminate your work at both national and international conferences. International mobility for conferences and coursework are covered by the DOC2AMU program, which also covers research costs and travel costs between Marseille and your place of origin.

We value diversity and welcome any application.




Please do not hesitate to contact us at fabrice.sarlegna at univ-amu.fr<mailto:fabrice.sarlegna at univ-amu.fr>
Please apply online for the position before April 8, 2017 on the DOC2AMU website which is well documented with a detailed guideline for applicants,




Best wishes,
Fabrice SARLEGNA and Olivier FELICIAN







About Aix-Marseille University:

Aix-Marseille University is in France the largest university by the number of its students, its staff and its budget. This has made Aix-Marseille University an institution of higher education and excellent research, with international ambitions.

Aix-Marseille University is multidisciplinary as it offers training in all disciplines: Arts, Literature, Languages and Humanities; Law and Political Science; Economics and Management ; Health; Science and Technology. An intensive research site in collaboration with leading organizations, AMU is one of the French sites of excellence recognized by an international jury as part of Future Investments. AMU is also among the sites labeled "Operation Campus", with 500 million euros in capital mobilized to renovate and modernize its university campuses. AMU helps developing research, training and employability of students, while creating a privileged link with the socio-economic world.

http://www.univ-amu.fr/en/university

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From l.rossi at aston.ac.uk  Thu Mar 23 09:24:35 2017
From: l.rossi at aston.ac.uk (Luca Rossi)
Date: Thu, 23 Mar 2017 13:24:35 +0000
Subject: Connectionists: PhD Studentship - Novel Paradigms for the Analysis
 and Classification of Non-Vectorial Data
Message-ID: <CAJWrKSLwpvx2BMujqhzaYLTjnF9hsxgqz1ny3s+2CPiUpKxsrQ@mail.gmail.com>

*Fully funded PhD studentship (4 years) in Aston University, UK*
http://www.jobs.ac.uk/job/AXI678/phd-studentship-novel-paradigms-for-the-analysis-and-classification-of-non-vectorial-data/

Applications are invited to apply for a four year Postgraduate Research
studentship, supported by the School of Engineering and Applied Science, to
be undertaken within the Computer Science subject group at Aston
University. The successful applicant will join the recently established
System Analytics Research Institute (
http://www.aston.ac.uk/eas/research/groups/systems-analytics-research-institute/
).

This studentship is combined with a teaching assistant role. The successful
candidate will be required to provide up to an average of 6 hours per week
of teaching support for a distance learning programme; therefore the
student must be capable of teaching on an undergraduate course in Software
Engineering. Details of teaching responsibilities and a list of taught
modules can be found here.

The position is available to start in September 2017 (or later by agreement)

*Financial Support*:
This studentship includes a fee bursary to cover the Home/EU tuition fee
rate plus a maintenance allowance of ?15,000 in 2016/17.

Applicants from outside the EU may apply for this studentship but will need
to pay the difference between the ?Home/EU? and the ?Overseas? tuition
fees, currently this is ?11,729 for the 2016/17 academic year. As part of
the application you will be required to confirm that you have applied for,
or, secured this additional funding.

*Background of the Project*:
Graph-based representations have long been used as a powerful way to
characterise a large number of systems that are best described in terms of
their structure. However, the rich expressiveness of graphs usually comes
at the cost of an increased difficulty in applying standard pattern
recognition techniques and machine learning to them.

The aim of this project is to investigate novel ways to probe and
characterise the structure of graphs. For example, in recent years,
classical and quantum walks have emerged as a powerful way to measure the
structural similarity between graphs and to define novel vertex signatures.
However other processes, such as quantum walks with decoherence, have
received little or no attention, despite having a number of unique and
interesting properties.

Other open problems that could be the subject of this project are the
ability to cope with increasingly large and diverse input graphs
(time-varying, multi-layer, etc.), as well as investigating the privacy
concerns emerging in the analysis of real-world networks.

*Person Specification*:
The successful applicant will have a strong undergraduate (first class or
upper second class) and/or Master?s degree in computer science,
engineering, mathematics, physics or a related discipline as well as
excellent programming and analytical/mathematical skills. Applicants with
expertise and research interests lying at the intersection of graph theory,
pattern recognition, and physics are particularly welcome to apply.
Applicants from non-English speaking countries will need to satisfy Aston?s
English language entry requirements.

Enquiries about this project contact Dr. Luca Rossi (
http://www.cs.aston.ac.uk/~rossil/ <http://www.cs.bham.ac.uk/~rossil/>) by
email: l.rossi at aston.ac.uk.

The online application form, reference forms and details of entry
requirements, including English language are available at
http://www.aston.ac.uk/eas/research/prospective-research-
students/how-to-apply/

*Applications should also be accompanied by a brief research proposal, and
an explanation of how your knowledge and experience will benefit the
project.*

-- 
Luca Rossi

Lecturer in Computer Science
School of Engineering and Applied Science
Aston University
Web: http://www.cs.aston.ac.uk/~rossil/ <http://www.cs.bham.ac.uk/~rossil/>
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From mark.humphries at manchester.ac.uk  Thu Mar 23 11:09:56 2017
From: mark.humphries at manchester.ac.uk (Mark Humphries)
Date: Thu, 23 Mar 2017 15:09:56 +0000
Subject: Connectionists: Save the date: Integrated Systems Neuroscience 2017
 meeting (September 7-8, Manchester, UK)
Message-ID: <7E954275ED82B9468C2C731FB72522F5013E02F1AF@MBXP09.ds.man.ac.uk>

We are excited to announce the second Integrated Systems Neuroscience meeting.
7-8th September 2017, Manchester, UK

The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits.

Each session of the programme will comprise a pair of talks presenting complementary experimental and computational work on the same circuit theme. Breaks between each session will allow for plentiful discussion of the work just seen and how it may translate to other circuits and problems in systems neuroscience. A poster session with wine reception will be held on the first evening.

Confirmed speakers:
Rune Berg                          (Copenhagen University)
Tiago Branco                      (Sainsbury Wellcome Centre for Neural Circuits)
Neil Burgess                       (Institute of Cognitive Neuroscience, UCL)
Megan Carey                     (Champalimaud Institute, Lisbon)
Claudia Clopath                 (Imperial College, London)
Kate Jeffery                       (UCL)
Christian Machens           (Champalimaud Institute, Lisbon)
Jonathan Pillow                (Princeton)
Simon Peron                      (New York University)
Manuel Zimmer                (IMP, Austria)

We will shortly announce the opening of registration and abstract submission.

For more information, including the current programme, please visit the website:
https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/


Organisers:  Mark Humphries & Rasmus Petersen (University of Manchester)

Sponsors: we gratefully acknowledge the support of the Medical Research Council

_____________________________________________________________________________
Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health
http://www.systemsneurophysiologylab.manchester.ac.uk/



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From shuaili.sli at gmail.com  Thu Mar 23 12:17:10 2017
From: shuaili.sli at gmail.com (Shuai Li)
Date: Thu, 23 Mar 2017 16:17:10 +0000
Subject: Connectionists: CFP Deadline Mar 31st: Social Media Mining and
	Analysis 2017 @Great Britain
Message-ID: <CAENVYZP+N6wTf0BFWQe6NYvruYZ9HwE=q1-UbQqZrszBDxux3g@mail.gmail.com>

=================================================
The 3rd International Workshop on Social Media Mining and Analysis
(SMMA'17)
in Conjunction with the 10th IEEE International Conference on
Cyber, Physical and Social Computing (CPSCom 2017)?

               21-23 June 2017, Exeter, England, Great Britain

Submission Deadline: March 31, 2017     Author Notification: April 22, 2017
Camera-Ready Due: May 15, 2017
=================================================

Introduction:
The emergence of the social network led to the boost of user generated
content which consequently gave rise to fields such as data mining and web
mining. The social network also gave rise to the new phenomena called
social media which empowered the users towards citizen journalism where
users can choose to act as content providers instead of more content
consumers. The social networking websites such as Facebook, Twitter,
LinkedIn, Flickr, and Weibo etc, are a few examples of such empowerment.
Furthermore, these social media platforms provide new opportunities to
explore the user behaviour which could benefit for various applications
related to the economy, marketing, education, business, medicine, etc.
Social Media Mining is the process of representing, analyzing, and
extracting actionable patterns from large-scale social media data.

SMMA-2017 is the next edition of SMMA-2016 (Toulouse, France), SMMA-2015
(Liverpool, UK) and aims to discuss the theories and methodologies from
different disciplines such as computer science, data mining, machine
learning, social network analysis, network science, sociology, and
statistics in order to provide conceptual insights on mining social media
data.

We invite researchers and practitioners namely from communities of machine
learning (or artificial intelligence), information retrieval, data mining,
reinforcement learning, big data, data science, deep learning, large-scale
database, smart robotics and social network analysis to share their ideas,
innovations, research achievements and solutions in fostering the
advancement of intelligent data analytics and management of social media
data. We solicit original, unpublished, and innovative research work on
applying any intelligent technologies and methods to all aspects around the
theme of this workshop. The workshop is co-located with CPSCom-2017, the
10th IEEE International Conference on Cyber, Physical and Social Computing.
Topics of interest include, but are not limited to:

+Fundamental theories of big data analysis and machine learning

+Robotics with social networks

+Computer vision and natural language processing

+Statistical modeling of large computer networks

+Social media for citizen journalism

+Communities discovery and analysis in large-scale social networks

+Large-scale graph algorithms for social network analysis

+Reputation, trust, privacy and security in social networks

+Expert systems and decision-making for social media data

+Recommendation systems and marketing

+Methods for tie strength or link prediction

+Methods for extracting and understanding user and group behavior

+Crowdsourcing and collective intelligence

+Human-computer interaction systems and applications

+Reinforcement learning and deep neural networks

+Other related issues to various applications and case studies

Accepted papers must contain novel results. Contributions can be either
theoretical or empirical. Results will be judged on the degree to which
they have been objectively established and/or their potential for
scientific and technological impact.

General Chairs:
Shuai Li, University of Cambridge, Great Britain
Fei Hao, Shaanxi Normal University, China
Yu Wu, Zhongnan University of Economics and Law, China

Program Chairs:
Geyong Min, University of Exeter, Great Britain
Daqiang Zhang, Tongji University, China
Bowen Sun, Beijing Institute of Technology, China

Program Committee Members:
Qingcheng Zhang, St. Francis Xavier University, Canada
Zheng Pei, Xihua University, China
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

All papers need to be submitted electronically through Email:
fhao at snnu.edu.cn with PDF manuscript, Email subject:
"SMMA 2017 + paper title". The materials presented in the papers should not
be published or under submission elsewhere.
Each paper is limited to 6 pages including figures and references
using IEEE Computer Society Proceedings Manuscripts style
(two columns, single-spaced, 10 fonts). You can confirm the IEEE
Computer Society Proceedings Author Guidelines at the following web page:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press. At least one of the
authors of any accepted paper is requested to register the paper at the
conference.

Should you have any other concern feel free to contact:
shuai.li at eng.cam.ac.uk
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From M.Loog at tudelft.nl  Fri Mar 24 03:32:57 2017
From: M.Loog at tudelft.nl (Marco Loog - EWI)
Date: Fri, 24 Mar 2017 07:32:57 +0000
Subject: Connectionists: PhD position transfer learning
Message-ID: <1B7FB132C5F56E428E697512485E823260389A74@SRV363.tudelft.net>

PhD position
'Transfer learning for personalised cancer treatment'
Collaborating Institutes:
Technical University of Delft (TUDelft), Delft
VU University Medical Center, VUMC, Amsterdam and
The Netherlands Cancer Institute (NKI), Amsterdam.

Project description. How can we find better diagnostic markers for early stages of cancer? How can we better predict which therapy is best for which patient? The aim of the 'COMPUTE CANCER' project is to develop a novel methodological and computational framework that improves the selection of diagnostic and predictive biomarkers from cancer genomics data. Our strategy is to adapt known prediction methods (e.g. penalized regression, random forests) to allow for the inclusion of 'co-data': auxiliary information on the genomic variables derived from other data sources. Examples include p-values from related external studies or genomic and drug response data from cancer cell lines.

Interdisciplinary collaboration. The group of Mark van de Wiel (Biostatistics, VUMC) will focus on developing 'weighted learners', where the challenge is to determine weights from co-data in an automatic and objective way. The groups of Marco Loog, Marcel Reinders and Lodewyk Wessels (TUDelft and NKI) will develop transfer learning approaches that exploit large cell line response data sets to predict therapy response in tumors. We will focus on response to chemotherapy in neo-adjuvant breast cancer and metastatic colorectal cancer. The project is embedded within broad oncological collaborations within the VUMC as well as the NKI. The successful candidate will be employed at the TUDelft and will spend at least two days per week at the NKI. Regular meetings between project partners and oncologists will be held to generate sufficient cohesion and momentum.

Candidate profile. We are seeking a highly motivated PhD candidate with:
- A degree in bioinformatics, physics, statistics or a related discipline
- Experience in statistics, machine learning and/or pattern recognition
- Proficiency in bioinformatics programming languages (e.g. R, Python)
- Good cross-disciplinary collaborative and communication skills
- Experience in analysing high-throughput molecular data is a plus
- Experience in cancer biology and clinical applications is a plus

Interested? Please send CV and motivation letter to Magali Michaut (m.michaut at nki.nl) & Lodewyk Wessels (l.wessels at nki.nl). Please include the names and contact information of at least two references.

Deadline: 17 April 2017
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From mlsp at neuro.kuleuven.be  Fri Mar 24 09:49:12 2017
From: mlsp at neuro.kuleuven.be (2017 IEEE International Workshop on Machine Learning fo Signal Processing)
Date: Fri, 24 Mar 2017 14:49:12 +0100
Subject: Connectionists: call for papers - 2017 IEEE International Workshop
	on Machine Learning
Message-ID: <58D523D8.2000001@neuro.kuleuven.be>

call for papers - 2017 IEEE International Workshop on Machine Learning
for Signal Processing (MLSP)
September 25-28, Roppongi, Tokyo, Japan
http://mlsp2017.conwiz.dk

CALL FOR PAPERS
The 27th MLSP workshop in the series of workshops organized by the IEEE 
Signal Processing Society MLSP Technical Committee will present the most 
recent and exciting advances in machine learning for signal processing 
through keynote talks, tutorials, as well as special and regular 
single-track sessions. Prospective authors are invited to submit papers 
on relevant algorithms and applications including, but not limited to:

- Bayesian learning and signal processing
- Cognitive information processing
- Deep learning techniques
- Dictionary learning
- Graphical and kernel methods
- Independent component analysis
- Information-theoretic learning
- Learning theory and algorithms
- Pattern recognition and classification
- Bounds on performance
- Subspace and manifold learning
- Sequential learning and decision methods
- Source separation
- Tensor and structured matrix methods
- Machine learning from big data
- Scalable learning algorithms
- Applications including: speech, audio & music, image & video, 
biomedical signals & images, communications, bioinformatics, biometrics, 
systems biology, computational intelligence, genomic signals & 
sequences, social networks, games, smart grid, security & privacy

DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION
The competition is organized in conjunction with the workshop. The goal 
of the competition is to advance the current state-of-the-art in 
theoretical and practical aspects of signal processing domains.

SPECIAL SESSIONS
MLSP 2017 will include Special Sessions that address research in 
emerging or interdisciplinary areas of particular interest, not covered 
already by traditional MLSP sessions.

BEST STUDENT PAPER AWARD
The MLSP Best Student Paper Award will be granted to the best paper for 
which a student is the principal author and presenter.

PAPER SUBMISSION
Prospective authors are invited to submit a double column paper of up to 
six pages using the electronic submission procedure at 
http://mlsp2017.conwiz.dk. Accepted papers will be published on a 
password-protected website that will be available during the workshop. 
The presented papers will be published in and indexed by IEEE Xplore.

IMPORTANT DATES AND DEADLINES:
Paper submissions:		May 28, 2017
Decision notifications:		June 5, 2017
Camera-ready papers:		July 31, 2017
Author advance registration:	August 7, 2017

ORGANIZING COMMITTEE:
General Chairs:
Tomoko Matsui, The Institute of Statistical Mathematics, Japan
Jen-Tzung Chien, National Chiao Tung University, Taiwan

Program Chairs:
Naonori Ueda, NTT Communication Science Laboratories, Japan
Shinji Watanabe, Mitsubishi Electric Research Laboratories, USA

Finance Chair:
Motoi Okamoto, The Institute of Statistical Mathematics, Japan

Data Competition Chairs:
Karim Seghouane, University of Melbourne, Australia
Yuejie Chi, Ohio State University, USA

Publicity Chair:
Marc Van Hulle, KU Leuven, Belgium

Publication Chair:
Jan Larsen, Technical University of Denmark, Denmark

Program Advisory Committee:
Shigeru Katagiri, Doshisha University, Japan
Tulay Adali, University of Maryland, USA
Vince Calhoun, University of New Mexico, USA
Raviv Raich, Oregon State University, USA

From mlsp at NEURO.KULEUVEN.BE  Fri Mar 24 09:49:12 2017
From: mlsp at NEURO.KULEUVEN.BE (2017 IEEE International Workshop on Machine Learning fo Signal Processing)
Date: Fri, 24 Mar 2017 14:49:12 +0100
Subject: Connectionists: call for papers - 2017 IEEE International Workshop
	on Machine Learning
Message-ID: <58D523D8.2000001@neuro.kuleuven.be>

call for papers - 2017 IEEE International Workshop on Machine Learning
for Signal Processing (MLSP)
September 25-28, Roppongi, Tokyo, Japan
http://mlsp2017.conwiz.dk

CALL FOR PAPERS
The 27th MLSP workshop in the series of workshops organized by the IEEE 
Signal Processing Society MLSP Technical Committee will present the most 
recent and exciting advances in machine learning for signal processing 
through keynote talks, tutorials, as well as special and regular 
single-track sessions. Prospective authors are invited to submit papers 
on relevant algorithms and applications including, but not limited to:

- Bayesian learning and signal processing
- Cognitive information processing
- Deep learning techniques
- Dictionary learning
- Graphical and kernel methods
- Independent component analysis
- Information-theoretic learning
- Learning theory and algorithms
- Pattern recognition and classification
- Bounds on performance
- Subspace and manifold learning
- Sequential learning and decision methods
- Source separation
- Tensor and structured matrix methods
- Machine learning from big data
- Scalable learning algorithms
- Applications including: speech, audio & music, image & video, 
biomedical signals & images, communications, bioinformatics, biometrics, 
systems biology, computational intelligence, genomic signals & 
sequences, social networks, games, smart grid, security & privacy

DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION
The competition is organized in conjunction with the workshop. The goal 
of the competition is to advance the current state-of-the-art in 
theoretical and practical aspects of signal processing domains.

SPECIAL SESSIONS
MLSP 2017 will include Special Sessions that address research in 
emerging or interdisciplinary areas of particular interest, not covered 
already by traditional MLSP sessions.

BEST STUDENT PAPER AWARD
The MLSP Best Student Paper Award will be granted to the best paper for 
which a student is the principal author and presenter.

PAPER SUBMISSION
Prospective authors are invited to submit a double column paper of up to 
six pages using the electronic submission procedure at 
http://mlsp2017.conwiz.dk. Accepted papers will be published on a 
password-protected website that will be available during the workshop. 
The presented papers will be published in and indexed by IEEE Xplore.

IMPORTANT DATES AND DEADLINES:
Paper submissions:		May 28, 2017
Decision notifications:		June 5, 2017
Camera-ready papers:		July 31, 2017
Author advance registration:	August 7, 2017

ORGANIZING COMMITTEE:
General Chairs:
Tomoko Matsui, The Institute of Statistical Mathematics, Japan
Jen-Tzung Chien, National Chiao Tung University, Taiwan

Program Chairs:
Naonori Ueda, NTT Communication Science Laboratories, Japan
Shinji Watanabe, Mitsubishi Electric Research Laboratories, USA

Finance Chair:
Motoi Okamoto, The Institute of Statistical Mathematics, Japan

Data Competition Chairs:
Karim Seghouane, University of Melbourne, Australia
Yuejie Chi, Ohio State University, USA

Publicity Chair:
Marc Van Hulle, KU Leuven, Belgium

Publication Chair:
Jan Larsen, Technical University of Denmark, Denmark

Program Advisory Committee:
Shigeru Katagiri, Doshisha University, Japan
Tulay Adali, University of Maryland, USA
Vince Calhoun, University of New Mexico, USA
Raviv Raich, Oregon State University, USA

From terry at salk.edu  Fri Mar 24 11:31:52 2017
From: terry at salk.edu (Terry Sejnowski)
Date: Fri, 24 Mar 2017 08:31:52 -0700
Subject: Connectionists: NEURAL COMPUTATION - April 1, 2017
In-Reply-To: <E1chOAg-00008F-V3@dale.snl.salk.edu>
Message-ID: <E1crRBw-0005dI-Uc@euler.snl.salk.edu>

Neural Computation - Volume 29, Number 4 - April 1, 2017

Available online for download now:
http://www.mitpressjournals.org/toc/neco/29/4

-----

Article

**Free**
Unifying Adversarial Training Algorithms With Flexible 
Deep Data Gradient Regularization
Alexander G Ororbia II, Daniel Kifer, and C. Lee Giles

Letters

Information Maximization Explains the Sparseness of 
Presynaptic Neural Response
Minjoon Kouh

On the Dynamical Interplay of Positive and Negative Affects
Jonathan Touboul, Alberto Romagnoni, and Robert M Schwartz

Evolving Network Model That Almost Regenerates Epileptic Data
G Manjunath

Multiway Array Decomposition of EEG Spectrum: Implications of 
Its Stability for the Exploration of Large-scale Brain Networks
Radek Marecek, Martin Lamos, Rene Labounek, Marek Barton, 
Tomas Slavicek, Michal Mikl, Ivan Rektor, Milan Brazdil

Maximum Pseudolikelihood Estimation for Model-Based Clustering 
of Time Series Data
Hien D Nguyen, Geoffrey J. McLachlan, Pierre Orban, 
Pierre Bellec, and Andrew L Janke

Anin Silico, Biomarker-based Method for the Evaluation of 
Virtual Neuropsychiatric Drug Effects
Peter Siekmeier

Semi-Supervised Multi-Label Multi-Instance Learning for Structured Data
Hossein Soleimani, David J Miller

Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search
Shudao Zhou, Qixiang Liao, Hanqing Shi, and Weilai Shi

Avoiding Optimal Mean L21-norm Maximization Based Robust PCA 
for Reconstruction
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, 
Alexander G. Hauptmann, and Qinghua Zheng

------------

ON-LINE -- http://www.mitpressjournals.org/neuralcomp

SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES

Student/Retired   $80
Individual       $142
Institution    $1,141

MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889  FAX: (617) 577-1545 journals-cs at mit.edu

------------


From aramdas at berkeley.edu  Sat Mar 25 20:09:52 2017
From: aramdas at berkeley.edu (Aaditya Ramdas)
Date: Sat, 25 Mar 2017 17:09:52 -0700
Subject: Connectionists: AISTATS 2017: Final Schedule and Registration
Message-ID: <CAN5dWfM7PryShmF2ubzpxjbhcRwXpvHf+9YYrOZFQLOFnng2KQ@mail.gmail.com>

The full schedule for AISTATS 2017, including three exciting invited talks,
is now available online <http://www.aistats.org/schedule.html>.

The early registration deadline has passed, and the registration deadline
for the regular rate is Apr 5.

For links to the list of accepted papers, and other information about
AISTATS 2017, please read the email thread below, or visit the AISTATS
website.


---
Aaditya Ramdas
www.cs.berkeley.edu/~aramdas


On Tue, Feb 28, 2017 at 10:05 PM, Aaditya Ramdas <aramdas at berkeley.edu>
wrote:

> The final list of accepted papers can now be accessed online
> <http://www.aistats.org/accepted.html>, with camera-ready versions of
> papers to be uploaded to the website next month.
>
>
> Please register early for cheaper rates (before Mar 7).
>
>
> For more information regarding AISTATS 2017, please see the email below
> (call for papers), or visit the AISTATS website.
>
>
>
>
>
> On Sun, Aug 21, 2016 at 3:12 PM, Aaditya Ramdas <aramdas at berkeley.edu>
> wrote:
>
>>
>> AISTATS <http://aistats.org/> is an interdisciplinary gathering of
>> researchers at the intersection of artificial intelligence, machine
>> learning, statistics, and related areas. The 20th International Conference
>> on Artificial Intelligence and Statistics (AISTATS
>> <http://www.aistats.org/>) will take place in Fort Lauderdale, Florida,
>> USA from *April 20-22, 2017*.
>>
>> The deadline for paper submission is *Oct 13, 2016*, with final
>> decisions made on Jan 24, 2017.
>>
>> New this year:
>>
>>    1. *Fast-track for Electronic Journal of Statistics*: Authors of a
>>    small number of accepted papers will be invited to submit an extended
>>    version for fast-track publication in a special issue of the Electronic
>>    Journal of Statistics (EJS) after the AISTATS decisions are out. Details on
>>    how to prepare such extended journal paper submission will be announced
>>    after the AISTATS decisions.
>>
>>    2. *Review-sharing with NIPS*: Papers previously submitted to NIPS
>>    2016 are required to declare their previous NIPS paper ID, and optionally
>>    supply a one-page letter of revision (similar to a revision letter to
>>    journal editors; anonymized) in supplemental materials. AISTATS reviewers
>>    will have access to the previous anonymous NIPS reviews. Other than this,
>>    all submissions will be treated equally.
>>
>>
>> *Paper Submission:* Electronic submission of PDF papers is required. The
>> main part of the paper (single PDF up to 5Mb) may be up to 8 double-column
>> pages in length including tables/figures. References only can exceed the 8
>> page limit. The main part should have enough information so that reviewers
>> are able to judge the correctness and merit of the paper. Authors may
>> optionally submit supplementary material (up to 10Mb) as a single zip file,
>> containing additional proofs, audio, images, video, data or source code.
>> Reviewing any supplementary material is up to the discretion of the
>> reviewers.
>>
>> *Dual Submissions Policy:* Submissions that are identical (or
>> substantially similar) to versions that have been previously published, or
>> accepted for publication, or that have been submitted in parallel to other
>> conferences or journals are not appropriate for AISTATS and violate our
>> dual submission policy. Exceptions to this rule are the following: (a) it
>> is acceptable to submit work that has been made available as a technical
>> report or similar, e.g., on arXiv, without citing it (to preserve
>> anonymity). (b) Submission is permitted for papers presented or to be
>> presented at conferences or workshops without proceedings (e.g., ICML or
>> NIPS workshops), or with only abstracts published. The dual-submission
>> rules apply during the whole AISTATS review period until the authors have
>> been notified about the decision on their paper.
>>
>> *Double-blind review:* Papers will be selected via a rigorous
>> double-blind peer-review process (the reviewers will not know the
>> identities of the authors, and vice versa). It will be up to the authors to
>> ensure the proper anonymization of their paper and supplemental materials.
>> Violation of the above rules may lead to rejection without review. One
>> round of author rebuttal will occur with the initial reviews available to
>> the authors.
>>
>> *Evaluation Criteria:* Submissions will be judged on the basis of
>> technical quality, novelty, potential impact, and clarity. Typical papers
>> often (but not always) consist of a mix of algorithmic, theoretical and
>> experimental results, in varying proportions. Results will be judged on the
>> degree to which they have been objectively established and/or their
>> potential for scientific and technological impact.
>>
>> *Publication and presentation:* All accepted papers will be presented at
>> the conference as posters, with a few selected for additional oral
>> presentation. All accepted papers will be treated equally when published in
>> the AISTATS Conference Proceedings (Journal of Machine Learning Research
>> Workshop and Conference Proceedings series). At least one author of each
>> accepted paper must register and attend AISTATS. A small number of accepted
>> papers will be invited to submit an extended version for fast-track
>> publication in a special issue of the Electronic Journal of Statistics
>> (EJS) journal after the AISTATS decisions are out.
>>
>> *Topics:* Since its inception in 1985, the primary goal of AISTATS has
>> been to promote the exchange of ideas from artificial intelligence, machine
>> learning, and statistics. We encourage the submission of all papers in
>> keeping of this objective. Solicited topics include, but are not limited to:
>>
>>    - Supervised, unsupervised and semi-supervised learning, kernel and
>>    Bayesian methods
>>    - Stochastic processes, hypothesis testing, causality, time-series,
>>    nonparametrics, asymptotic theory
>>    - Graphical models and inference, manifold learning and embedding,
>>    network analysis, statistical analysis of deep learning
>>    - Sparse models and compressed sensing, information theory
>>    - Reinforcement learning, planning, control, multi-agent systems,
>>    logic and probability, relational learning
>>    - Learning theory, game theoretic learning, online learning, bandits,
>>    learning for mechanism design
>>    - Convex and non-convex optimization, discrete optimization, Bayesian
>>    optimization
>>    - Algorithms and architectures for high-performance computing
>>    - Applications in biology, cognition, computer vision, natural
>>    language, neuroscience, robotics, etc.
>>    - Topological data analysis, selective inference, experimental
>>    design, interactive learning, optimal teaching, and other emerging topics
>>
>>
>> ---
>> Aaditya Ramdas
>> www.cs.berkeley.edu/~aramdas
>>
>
>
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From scott.cheng.hsin.yang at gmail.com  Fri Mar 24 21:25:19 2017
From: scott.cheng.hsin.yang at gmail.com (Scott Yang)
Date: Fri, 24 Mar 2017 21:25:19 -0400
Subject: Connectionists: Postdoctoral researcher opening in human and
	machine learning
Message-ID: <CAH+rMu4CUHomDHV3ny6jGyh4QYbKXwMs75eUM8Af_hcTkHwWTg@mail.gmail.com>

The Cognitive and Data Sciences lab <http://shaftolab.com/> in the
Mathematics and Computer Science department at Rutgers University - Newark
has multiple openings for postdoctoral researchers. The positions are
supported by (multiple, separate) NSF and DARPA grants. Researchers
interested in the intersection between human and machine learning, with
expertise in probabilistic machine learning and/or pure and applied
mathematics, are encouraged to apply. Specific experience with MCMC,
gaussian processes, variational inference, and/or deep learning would be a
positive, as would expertise in group theory, geometry, and/or topology.
However, applications from individuals with other areas of expertise are
also strongly encouraged.

The Cognitive and Data Sciences lab is comprised of 6 postdocs, 2 graduate
students and 2 post-bac researchers spanning physics, mathematics,
cognitive development, and vision science. We maintain close collaborations
with pure mathematics, cognitive development, vision, and neuroscientists
across the greater NYC area. Lab projects use virtual reality, Bayesian
methods (including nonparametrics), and methods from pure mathematics to
hack human perceptual, cognitive, and social learning. Specific goals
include the development of modified reality and explainable AI.

APPLICATION PROCESS:

*Email Dr. Shafto as soon as possible* with a CV (including contact
information for references), unofficial transcript, and short cover letter
explaining why you are interested in and well-suited for the position:
patrick.shafto at gmail.com

Expected start date would be summer 2017 or sooner.

Sent on behalf of the CoDas Lab (http://shaftolab.com/
<http://shaftolab.com/index.php/people/patrick-shafto/>).

--
Scott Cheng-Hsin Yang
Post-doctoral Research Associate
Department of Mathematics & Computer Science
Rutgers University - Newark
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From manish.saggar at gmail.com  Sun Mar 26 01:18:12 2017
From: manish.saggar at gmail.com (Manish Saggar)
Date: Sat, 25 Mar 2017 22:18:12 -0700
Subject: Connectionists: Job Announcement for a Research Assistant position
 in the areas of Neuroimaging and Computational Neuroscience
Message-ID: <CAAo7_MsZkZWTioeDbAyvJ_2mEbSggLi1nZPORSKWqu2DRsbL8Q@mail.gmail.com>

Brain Dynamics Lab
Department of Psychiatry and Behavioral Sciences
Stanford University School of Medicine

Job Announcement for a Research Assistant position in the areas of
Neuroimaging and Computational Neuroscience

About us:
BDL is a computational neuropsychiatry lab dedicated to developing
computational methods for a better understanding of individual differences
in brain functioning in healthy and patient populations. Current projects
include ? [1] Characterizing spatiotemporal dynamics in brain activity to
develop person- and disorder-centric biomarkers; [2] Understanding the role
of brain dynamics for optimized learning and performance in individual and
team settings; and [3] Developing methods that use network science (or
graph theory), connectomics, machine learning, and signal processing for
better understanding of brain dynamics.

Job Description:
Applications are currently being invited for a Research Assistant position
in the Brain Dynamics Lab @ Stanford, under the direction of Dr. Manish
Saggar. Responsibilities for this position include: Developing neuroimaging
experiments, collecting neuroimaging data, processing and analysis. Imaging
modalities to be handled include functional and structural MRI, EEG, and
fNIRS.

Job Qualifications:
The minimum qualifications for a successful candidate include:
[1] Bachelors in Electrical Engineering, Biomedical Engineering, Computer
Engineering, Computer Science, Computational Neuroscience, Data Science, or
other related scientific fields.
[2] Proficient in programming in Matlab, Python, and other related
computing languages
[3] Experience with AWS or other cloud computing environments is preferred,
but not required.
[4] Experience with one or more MRI/EEG/NIRS data analysis packages (e.g.,
AFNI, FSL, EEGLAB, HOMER etc.) is preferred, but not required.
[5] Ability to work effectively in a very collaborative and
multidisciplinary environment.

For inquiries please contact Dr. Manish Saggar (
http://web.stanford.edu/~saggar) at saggar at stanford.edu. To apply please
send your CV to saggar at stanford.edu
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From ozawasei at kobe-u.ac.jp  Sun Mar 26 22:36:18 2017
From: ozawasei at kobe-u.ac.jp (OZAWA, Seiichi)
Date: Mon, 27 Mar 2017 11:36:18 +0900
Subject: Connectionists: Call for abstracts - A special workshop "Deep
 Learning ANN & Applications"
Message-ID: <6b790f07-f2cf-3cd9-3ff0-6779c31147c2@kobe-u.ac.jp>

A special workshop "Deep Learning ANN & Applications"
co-sponsored by INNS, IEEE/CIS and ONR

April 16-17, 2017, Tallahassee, FL
http://www.ica-wavelet.org

Abstract Due:      April  3, 2017
Notification Date: April 10, 2017

This workshop answers DARPA I20 program for May 2017-2021, at the tone  
of 10 Millions in order to benchmark Google, Facebook, Youtube & go  
beyond the emergent technology shortfall: Explainable AI (XAI) (e.g. why  
favorite pet is cat in You tube? cf. Szu's Tutorial) Other than Auto  
Machine Driver, the Federal Government cannot apply deep learning AI to  
Aided Target Recognition.

The dedicated workshop will be a Month ahead of IJCNN Alaska, during  
2017 Spring Break April 15-18 at Northern Florida Capital Tallahassee  
Florida A&M & FSU at the intersection I-95 & I-10.

INNS & IEEE/CIS Members will be defrayed the registration fee $300 if  
one provides with a synopsis for a poster or talk materiel and a final  
paper for Elsevier Book Inc. by May 1, 2017.

Organization & Tech Editorial Committee
   Prof. Harold Szu (Senior Scientist of Army Night Vision Lab),
   Prof. Simon Foo (ECE Chairman),
   Prof. Henry Chu (Louisianan FEMA Director)




From kkuehnbe at uos.de  Mon Mar 27 01:34:09 2017
From: kkuehnbe at uos.de (Kai-Uwe Kuehnberger)
Date: Mon, 27 Mar 2017 07:34:09 +0200
Subject: Connectionists: Full Professor of Cognitive Natural Language
 Processing and Communication - Institute of Cognitive Science,
 University of Osnabrueck
Message-ID: <4b9d90fc-1865-cdc4-550c-0a01a644fe35@uos.de>

---

Osnabr?ck University?s School of Human Sciences, Institute of Cognitive 
Science invites applications for the following position, to start as 
soon as possible:

Full Professor of Cognitive Natural Language Processing and Communication
(salary level W2)

The Institute of Cognitive Science is seeking to appoint an 
internationally recognized researcher contributing to an enduring 
enhancement of its international collaborative network.

In research and education the successful applicant will represent the 
field of Cognitive Natural Language Processing and Communication in its 
breadth with an emphasis on computational models for language and 
multi-media data on different abstraction levels and on (neuro)cognitive 
inspired processing of language data. She/He is particularly expected to 
collaborate with more than one of the existing work groups that are 
closely related to the fields of processing visual data, machine 
learning, knowledge representation, and (neuro)cognitive aspects of 
language.
The successful candidate takes active part in teaching at all levels of 
the Cognitive Science study programs (BSc, MSc, PhD) and is, in 
particular, expected to offer interdisciplinary courses. All classes are 
taught in English.

Qualifications include a university degree (at the level of a Master or 
PhD) in computational linguistics or directly related areas, proven 
pedagogic and didactical skills acquired from practical experience, 
outstanding  ability of autonomously pursuing scientific work, usually 
proven by an excellent PhD thesis together with additional academic 
achievements according to section 25 (1) of the Lower Saxony Higher 
Education Act [NHG] (e.g. German-style habilitation, i.e. post-doctoral 
lecturing qualification).

In particular, it is expected that she/he has thorough knowledge as well 
as a coherent research program in the computational modeling of natural 
language.
International experience acquired from employments at universities and 
scientific institutions abroad as well as international collaborations 
are highly appreciated.
Candidates are expected to have an excellent command of both the English 
and German language.

The position is available on a full-time or part-time basis.

Osnabr?ck University has been certified as a family-friendly university 
committed to helping working/studying parents and carers balance their 
family and work life.
The university aspires to ensure that more women are appointed to 
professorial positions. Women?s applications are therefore particularly 
welcome.
If equally qualified candidates apply, preference will be given to those 
with special needs.

Applications with the usual documentation should be submitted by e-mail 
in a single PDF-file to Osnabr?ck University, Dean of School of Human 
Sciences, Prof. Dr. Thomas Staufenbiel, Seminarstra?e 20, 49074 
Osnabr?ck (dekanatfb08 at uni-osnabrueck.de) no later than April 21, 2017.
Further information can be obtained from Prof. Dr. Kai-Uwe K?hnberger 
(kkuehnbe at uni-osnabrueck.de).

---

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From schurgerlab at gmail.com  Sun Mar 26 10:22:37 2017
From: schurgerlab at gmail.com (Schurger Lab)
Date: Sun, 26 Mar 2017 16:22:37 +0200
Subject: Connectionists: Masters positions in cognitive neuroscience
Message-ID: <CADrgoMrVkpQ0iKkjb1ELjC4Q_yNdCafTEqHaDm=k8ccSK9rPig@mail.gmail.com>

-----------------------------------------------------------------------------
Masters positions in cognitive neuroscience
Neural antecedents of spontaneous self-initiated movement in humans, the
perception of personal causation, and the forecasting of behavior based on
brain activity.
Starting date: Fall 2017 or Spring 2018
Duration: 1 year (renewable for a second)

The French Institute of Health and Medical Research (INSERM) invites
applications for masters and PhD positions in the Cognitive Neuroimaging
Group, at the NeuroSpin Research Center near Paris, France, as part of the
research team of Dr. Aaron Schurger. The Schurger lab focuses on
understanding how decisions are made and actions initiated spontaneously,
without an external sensory cue, and and how time series of neural activity
(now) can be used to forecast behavior (seconds or minutes from now). We
are also interested in how the relevant causal processes in the brain are
related to the subjective perception of personal causation and societal
concepts of personal responsibility. We pursue this research using a
combination of behavioral experiments, neuroimaging, computational
modeling, and machine learning techniques.

Applicants must have a bachelors degree in a relevant discipline. Previous
research experience is a plus.

Strong computer programming skills (Matlab or Python) are essential.

Skills used in the lab include:
computer programming (MatLab, Python, C, C++),
statistics,
signal processing,
computational and neural network modeling,
neuroimaging techniques (EEG, MEG, fMRI) and data-analysis software tools,
behavioral psychophysics.

Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners;
high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for
the simultaneous recording of EEG); eye tracking (available for MRI, MEG,
and behavioral experiments); an in-house team of experts in signal
processing and statistical learning; a dedicated staff handling subject
recruitment, scheduling, and payment; various Nespresso devices; and
proximity to Paris.

Applicants should send a CV, letter of motivation (max 2 pages), and three
letters of recommendation via e-mail to schurgerlab at gmail.com. Review of
applicants will begin on the 01 May, 2017, and will continue until the
positions are filled.

The NeuroSpin Research Center is located on the campus of the CEA-Saclay,
near Orsay, about 18 km southwest of Paris. For more information on the
NeuroSpin Research Center and the Cognitive Neuroimaging Group:

http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/departments/neurospin-neurospin
http://www.unicog.org/pm/pmwiki.php
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From nicosia at dmi.unict.it  Mon Mar 27 03:35:46 2017
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Mon, 27 Mar 2017 09:35:46 +0200
Subject: Connectionists: SSBSS 2017 - Deadline is Approaching 31 March 2017
 - INTERNATIONAL SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL,
 University of Cambridge, July 17 to 21
Message-ID: <E0104A23-6F88-4CE3-B977-DB1BB8876882@dmi.unict.it>

_________________________________________________________________
Call for Participation (apologies for multiple copies)
Please kindly help forward it to potentially interested attendees
_________________________________________________________________

Dear Colleagues,

deadline is approaching: 31 March 2017 - SSBSS 2017

4th INTERNATIONAL SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL and WORKSHOP
* Biology meets Computer Science & Engineering *
at the University of Cambridge, UK, July 17 to 21, 2017
                http://www.taosciences.it/ssbss/


Overview
The synthetic & systems biology summer school provides students, post-docs, academics and industry professionals with an intense learning experience on the theory and
applications of modern synthetic & systems biology. Over the course of one week, a panel of internationally renowned experts of the field will offer lectures and tutorials covering basic as well as advanced topics.

Confirmed Speakers
* Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy
* Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK
* Carole Goble, University of Manchester, UK
* Jim Haseloff, University of Cambridge, UK
* Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA
* Edda Klipp, Humboldt University, Germany
* Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK
* Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK
* Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
* Mike Stubbington, EMBL-EBI, Cambridge UK
* Eriko Takano, Manchester Synthetic Biology Research Centre, University of Manchester, UK
* Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK

Industrial Panel 
* Jonathan Chesnut, Thermo Fisher Scientific Inc., USA

Other speakers will be announced soon.

Application process
Applications are invited from graduate students, postdoctoral researchers, academics 
and industry professionals looking to use, or already using synthetic biology
and/or systems biology methods in their work.  Prior experience
is not strictly required.

Applicants will be asked to submit a CV. We are also seeking to give participants a chance to discuss their own work with their peers and the speakers. 
As option, it is possible for each applicant to provide the abstract of a poster they would like to present at the school.

The School will involve a total of 36-40 hours of lectures, the final achievement will be equivalent to 8 ECTS points for the students attending the summer school.

The application system is now open:

http://www.taosciences.it/ssbss/#application-form

Important Dates:
* March 31, 2017	DEADLINE FOR APPLICATIONS
* April 10, 2017 	Notification Acceptance 
* The school will take place from July 17 to July 21, 2017 

Organizers:
Massimo Gulisano, University of Catania, Italy
Giuseppe Nicosia, University of Catania, Italy
Steve G. Oliver, University of Cambridge, UK


Call for Posters & Talks
The International Synthetic & Systems Biology Summer School is especially aimed to provide a stimulating environment for young researchers, Post-Doc, Ph.D. Students and M.Sc. Students. They will have the possibility to present the results of their research activities on the topic of the summer school, and to interact with their scientific peers, in a friendly and constructive way.  Applicants may submit an abstract to present their results. The abstract should be submitted before 31 March. 
In general, everyone participating in the summer school is invited to bring a poster to display their work. If you are interested in contributing, please give brief details when you submit your application. Suitable space will be reserved to the applicants for showing their posters.

Submit an abstract today for the Synthetic and Systems Biology Summer School & Workshop (SSBSS 2017):

https://easychair.org/conferences/?conf=ssbss2017


inquiries should be directed to ssbss.school at gmail.com
http://www.taosciences.it/ssbss/

* Our sincere apologies if you receive multiple copies of this announcement *

Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters  for SSBSS 2017.  
Together we will make SSBSS 2017 a great event!

-- 
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Science
Dept of Mathematics & Computer Science  
University of Catania                                        
Viale A. Doria, 6  - 95125 Catania, Italy 
P +39 095 7383048
nicosia at dmi.unict.it                 
http://www.dmi.unict.it/nicosia
==================================================================
4th International Synthetic & Systems Biology Summer School - SSBSS 2017
* Biology meets Computer Science & Engineering *
July 17-21, 2017 - University of Cambridge, Robinson College, UK 
http://www.taosciences.it/ssbss/ 
Contact Email: ssbss.school at gmail.com

FB: https://www.facebook.com/ssbss.school/

SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/

Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/
==================================================================
3rd International Conference on Machine learning, Optimization & big Data - MOD 2017
An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders
September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy
modworkshop2017 at gmail.com
http://www.taosciences.it/mod/
==================================================================

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From nicosia at dmi.unict.it  Mon Mar 27 04:19:46 2017
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Mon, 27 Mar 2017 10:19:46 +0200
Subject: Connectionists: MOD 2017 Call for Papers - Deadline is Approaching
 - Paper submission deadline: March 31, 2017
Message-ID: <ABF12B37-891E-413A-86B9-5D8F48A83FC3@dmi.unict.it>

MOD 2017: The 3rd International Conference on Machine learning, Optimization & big Data
An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders
=======================================================
September 14 - 17, 2017, Volterra (Pisa) Tuscany, Italy

http://www.taosciences.it/mod/

Important dates
===============
* Full Paper Submissions: March 31, 2017
* Full Paper  Notifications: May 1, 2017
* Special Session Proposals: March 31, 2017
* Special Session Notifications: April 15, 2017
* Workshop Proposals: March 31, 2017
* Workshop Notifications: April 15, 2017
* Conference: September 14 - 17, 2017

Keynote Speakers
===============
+ Georgios Giannakis, Department of Electrical and Computer Engineering, University of Minnesota, Director of Digital Technology Center, USA (TBC) 

+ Yi-Ke Guo, Department of Computing, Faculty of Engineering, Imperial College London, UK Founding Director of Data Science Institute.  

+ Ruslan Salakhutdinov, Machine Learning Department, School of Computer Science at Carnegie Mellon University, USA. Director of AI Research at Apple.

+ Jun Pei, Hefei University of Technology, China

Other speakers will be announced soon!


The International Conference on Machine learning, Optimization, and big Data (MOD) has established itself as a premier interdisciplinary conference  in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.

The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science including real-world applications for the Conference Proceedings (Springer - Lecture Notes in Computer Science - LNCS).

Topics of Interest
The last five-year period has seen a impressive revolution in the theory and application of  machine learning, optimization and big data. 

Topics of interest include, but are not limited to:
* Foundations, algorithms, models and theory of data science, including big data mining.
* Machine learning and statistical methods for big data.
* Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks.
* Unsupervised, semi-supervised, and supervised  Learning.
* Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning.
* Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states.
* Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization.
* Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
* Big Data mining systems and platforms, and their efficiency, scalability, security and privacy.
* Computational optimization. Optimization for representation learning. Optimization under Uncertainty
* Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning.
* Implementation issues, parallelization, software platforms, hardware
* Big Data mining for modeling, visualization, personalization, and recommendation.
* Big Data mining for cyber-physical systems and complex, time-evolving networks.
* Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains.

We particularly encourage submissions in emerging topics of high importance such as data quality, advanced deep learning, time-evolving networks, large multi-objective optimization, quantum discrete optimization, learning representations, big data mining and analytics, cyber-physical systems,  heterogeneous data integration and mining, autonomous decision and adaptive control.


Submission Guidelines
===============
Paper submissions should be limited to a maximum of 12 pages, in the Springer LNCS format:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
including the bibliography and any possible appendices. 

All submissions will be 6-blind reviewed by the Program Committee on the basis of technical quality, 
significance, multidisciplinary, relevance to scope of the conference, originality and clarity. 

https://easychair.org/conferences/?conf=mod2017


Types of Submissions
===============
When submitting a paper to MOD 2017, authors are required to select 
one of the following four types of papers:
+ Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);
+ Short paper: an extended abstract of novel work (max. 4 pages);
+ Work for oral presentation only (no page restriction; any format). 
For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;
+ Abstract for poster presentation only (max. 2 pages). The poster format for the  presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference.

Post-Proceedings
===============
All accepted long papers will be published in a volume of the series  'Lecture Notes in Computer Science' from Springer *after* the conference.  Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstracts of the oral  presentations, abstracts for the poster presentations) will be published on the MOD 2017 web site.


Presentation
===============
MOD uses the single session formula of 30 minutes presentations for fruitful exchanges between authors and participants.


Best Paper Awards
===============
Springer sponsors the MOD 2017 Best Paper Award with a cash prize of EUR 1,000.
The Award will be conferred at the conference on the authors of the best paper award.


Attendance
===============
MOD is a premier forum for presenting and discussing current research in machine learning, optimization and big data. 
Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, 
in order for the paper to be included in the proceedings and conference program.


Organization
===============
General Chair:
Renato Umeton, Harvard University, USA

Program Co-Chairs:
Giovanni Giuffrida, University of Catania, Italy & Neodata Group
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA

Special  Session Co-Chairs:
Giuseppe Narzisi, New York University Tandon School of Engineering & New York Genome Center, New York, USA

Workshop Co-Chair:
Piero Conca, CNR, Italy

Industrial Panel Chairs:
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo, UniCredit R&D

Publicity Chair:
Giovanni Murabito, DiGi Apps Inc.

W: http://www.taosciences.it/mod/
E: modworkshop2017 at gmail.com


-- 
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Science
Dept of Mathematics & Computer Science  
University of Catania                                        
Viale A. Doria, 6  - 95125 Catania, Italy 
P +39 095 7383048
nicosia at dmi.unict.it                 
http://www.dmi.unict.it/nicosia
==================================================================
4th International Synthetic & Systems Biology Summer School - SSBSS 2017
* Biology meets Computer Science & Engineering *
July 17-21, 2017 - University of Cambridge, Robinson College, UK 
http://www.taosciences.it/ssbss/ 
Contact Email: ssbss.school at gmail.com

FB: https://www.facebook.com/ssbss.school/

SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/

Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/
==================================================================
3rd International Conference on Machine learning, Optimization & big Data - MOD 2017
An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders
September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy
modworkshop2017 at gmail.com
http://www.taosciences.it/mod/
==================================================================

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From ian.r.oakley at gmail.com  Mon Mar 27 06:30:42 2017
From: ian.r.oakley at gmail.com (Ian Oakley)
Date: Mon, 27 Mar 2017 10:30:42 +0000
Subject: Connectionists: ICMI'17 Papers First CfP
Message-ID: <CABBQm4bv26oqDEjoB3NaO-SrZKyXndVNmtk2SH3CpfMDeJB=JA@mail.gmail.com>

**********

International Conference on Multimodal Interaction (ICMI)

Glasgow, Scotland. November 13-17th, 2017

https://icmi.acm.org/2017/

First Call for Papers

Due May 12th, 2017. Rebuttals July 21st-July 25th. Decisions on August
25th. Camera Ready due Sept 22nd.

Submit: http://precisionconference.com/~icmi

**********

The 19th International Conference on Multimodal Interaction (ICMI 2017)
will be held in Glasgow, Scotland. ICMI is the premier international forum
for multidisciplinary research on multimodal human-human and human-computer
interaction, interfaces, and system development. The conference focuses on
theoretical and empirical foundations, component technologies, and combined
multimodal processing techniques that define the field of multimodal
interaction analysis, interface design, and system development.

This year, ICMI welcomes contributions on human-computer interaction as a
particular topic of interest. We are keen to showcase novel input and
output modalities and interactions to the ICMI community.  ICMI 2017 will
feature a single-track main conference which includes: keynote speakers,
technical full and short papers (including oral and poster presentations),
demonstrations, exhibits and doctoral spotlight papers. The conference will
also feature workshops and grand challenges. The proceedings of ICMI'2017
will be published by ACM as part of their series of International
Conference Proceedings and Digital Library.

Topics of interest include but are not limited to:

   -

   Affective Computing and interaction
   -

   Cognitive modeling and multimodal interaction
   -

   Gesture, touch and haptics
   -

   Healthcare, assistive technologies
   -

   Human communication dynamics
   -

   Human-robot/agent multimodal interaction
   -

   Interaction with smart environment
   -

   Machine learning for multimodal interaction
   -

   Mobile multimodal systems
   -

   Multimodal behavior generation
   -

   Multimodal datasets and validation
   -

   Multimodal dialogue modeling
   -

   Multimodal fusion and representation
   -

   Multimodal interactive applications
   -

   Speech behaviors in social interaction
   -

   System components and multimodal platforms
   -

   Visual behaviors in social interaction
   -

   Virtual/augmented reality and multimodal interaction


Submission Process

There are two different submission categories:

   -

   Long paper :The maximum length is 8 pages in the two-column ACM
   conference format (excluding references). An accompanying demonstration can
   be presented during the demo session (see Demonstration section). Accepted
   long papers will be presented as either a long talk or a poster.
   -

   Short paper :The maximum length is 4 pages in the two-column ACM
   conference format (excluding references). Accepted short papers will be
   presented as either a short talk or a poster.


There will be a mixture of oral and poster presentations at the conference.
The decision of a poster or an oral presentation will be made by the
program committee. Please note that the main difference between short and
long papers is in the size of contributions and not in the importance of
the contributions. In other words, a paper in eight pages will be expected
to have more contribution than one with four pages. Rejected long papers
will not be considered for acceptance as short papers, unless the reviewers
unanimously believe this is the right decision. Authors are asked to
carefully consider the category of each submitted paper.

Rebuttal Period

During this period (from July 21st to July 25th, 2017), authors will be
able to see the reviews and post a short rebuttal addressing any major
misinterpretation or error. The rebuttal period will be followed by a
discussion period between the reviewers and Senior Program Committee
members (not visible to authors). Authors will be notified of the final
decision on August 25th, 2017.

Online Submission

For online paper submissions is through Precision Conference:
https://precisionconference.com/~icmi/

Extra material (e.g. videos) up to 40MB can be attached in the same
submission website.

Important Dates

Paper submission: 12th May 2017

Rebuttal period: July 21st to July 25th

Notification of acceptance: 25th August 2017

Camera-ready submission: September 22nd, 2017

Conference dates: 13th-17th November 2017

More info: https://icmi.acm.org/2017/index.php?id=cfp

**********

General Conference Information

The 2017 International Conference on Multimodal Interaction, ICMI 2017,
which will be held in Glasgow, Scotland between 13th and 17th November
2017. ICMI is the premier international forum for multidisciplinary
research on multimodal human-human and human-computer interaction,
interfaces, and system development. The conference focuses on theoretical
and empirical foundations, component technologies, and combined multimodal
processing techniques that define the field of multimodal interaction
analysis, interface design, and system development. ICMI 2017 will feature
a single-track main conference which includes: keynote speakers, grand
challenges (due Jan 13th), workshops (due Feb 22nd), technical full and
short papers (including oral and poster presentations, due May 12th),
exhibits and doctoral consortium papers (due July 3rd) and demonstrations
(due August 11th). The proceedings of ICMI'2017 will be published by ACM as
part of their series of International Conference Proceedings and Digital
Library.

For up to date information, see the conference website:
https://icmi.acm.org/2017/
**********
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From jteeters at berkeley.edu  Mon Mar 27 14:23:32 2017
From: jteeters at berkeley.edu (Jeff Teeters)
Date: Mon, 27 Mar 2017 11:23:32 -0700
Subject: Connectionists: Berkeley course in mining and modeling of
 neuroscience data, July 10-21, 2017
Message-ID: <CAC2LqRF-KDup7dTV7EKMaGsp2tgOiAh=Y3ycy-1Qxh1s6WMUkw@mail.gmail.com>

We invite applicants to the 2017 summer course in
"Mining and modeling of neuroscience data"
to be held July 10-21 at UC Berkeley.
A description of the course is below and also at:
http://crcns.org/course
Application deadline is April 30.

-----

Berkeley summer course in mining and modeling of neuroscience data

July 10-21, 2017
Redwood Center for Theoretical Neuroscience, UC Berkeley
Organizers: Fritz Sommer, Bruno Olshausen &
Jeff Teeters (HWNI, UC Berkeley)

Scope
This course is for students and researchers with backgrounds in mathematics
and computational sciences who are interested in applying their skills
toward problems in neuroscience. It will introduce the major open questions
of neuroscience and teach state-of?the-art techniques for analyzing and
modeling neuroscience data sets. The course is designed for students at the
graduate level and researchers with background in a quantitative field such
as engineering, mathematics, physics or computer science who may or may not
have a specific neuroscience background. The goal of this summer course is
to help researchers find new exciting research areas and at the same time
to strengthen quantitative expertise in the field of neuroscience. The
course is sponsored by the National Institute of Health, the National
Science Foundation from a grant supporting activities at the data sharing
repository CRCNS.org, and the Helen Wills Neuroscience Institute.

Format
The course is ?hands on? in that it will include exercises in how to use
and modify existing software tools and apply them to data sets, such as
those available in the CRCNS.org repository.

Course Instructors
Robert Kass, Carnegie Mellon University, Pittsburgh
Frederic Theunissen, University of California Berkeley
Jonathan Pillow, Princeton University
Odelia Schwartz, University of Miami
Mark Goldman, University of California Davis
Maneesh Sahani, Gatsby Unit, University College London

Course Moderators
Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience.

Speakers
To complement the main course instruction there will be lectures in the
evenings by local Berkeley and UCSF neuroscientists presenting their
research using quantitative approaches.

Requirements
Applicants should be familiar with linear algebra, probability,
differential and integral calculus and have some experience using MatLab
and Python. Each student should bring a laptop with both MatLab and Python
installed.

Cost
There is no cost to attend. Non-local attendees will be reimbursed for
economy travel expenses (up to a maximum of $500 domestic, $600 foreign)
and will have most meals provided.

Housing
Rooms in the University dorms will be provided for those non-local
attendees who need accommodations. Most dorm rooms are double occupancy
(shared).

Food
Breakfast and some dinners will be provided to all participants as a group.
Non-local attendees will also be provided most other meals in the
University dining commons.

How to apply
To apply, submit the online form http://crcns.org/course/apply.php. A
curriculum vitae and a letter of recommendation are required. The course is
limited to 25 students.

Deadlines
Applications must be received by the end of April. Notifications of
acceptance will be given by May 15.

Questions
Questions about the course can be sent to course [at] crcns.org.

Topics covered (subject to change)
Basic approaches:
-    The problem of neural coding
-    Spike trains, point processes, and firing rate
-    Statistical thinking in neuroscience
-    Overview of stimulus-response function models
-    Theory of model fitting / regularization / hypothesis testing
-    Bayesian methods
-    Estimation of stimulus-response functionals:  regression methods,
spike-triggered covariance
-    Variance analysis of neural response
-    Estimation of SNR. Coherence
-    Generalized Linear Models
Information theoretic approaches:
-    Information transmission rates and maximally informative dimensions
-    Scene statistics approaches and neural modeling
Techniques for analyzing multiple-unit recordings:
-    Event sorting in electrophysiology and optical imaging
-    Optophysiology cell detection
-    Sparse coding/ICA methods, vanilla and methods including statistical
models of nonlinear dependencies
-    Methods for assessing functional connectivity
-    Statistical issues in network identification
-    Low-dimensional latent dynamical structure in network
activity?Gaussian process factor analysis/newer methods
Models of memory, motor control and decision making:
-    Neural integrators
-    Attractor networks
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From dwang at cse.ohio-state.edu  Mon Mar 27 22:00:37 2017
From: dwang at cse.ohio-state.edu (DeLiang Wang)
Date: Mon, 27 Mar 2017 22:00:37 -0400
Subject: Connectionists: NEURAL NETWORKS, April 2017
Message-ID: <63118354-834d-57f3-4d5f-a1d6b0e0d81e@cse.ohio-state.edu>

Neural Networks - Volume 88, April 2017
http://www.journals.elsevier.com/neural-networks


Biologically plausible learning in neural networks with modulatory feedback
W. Shane Grant, James Tanner, Laurent Itti

Neural mass models describing possible origin of the excessive beta 
oscillations correlated with Parkinsonian state
Chen Liu, Yulin Zhu, Fei Liu, Jiang Wang, Huiyan Li, Bin Deng, Chris 
Fietkiewicz, Kenneth A. Loparo

Orthogonal self-guided similarity preserving projection for 
classification and clustering
Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei

Self-Taught convolutional neural networks for short text clustering
Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao, Bo Xu

Multi-view clustering via multi-manifold regularized non-negative matrix 
factorization
Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao

Adaptive low-rank subspace learning with online optimization for robust 
visual tracking
Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan, Zhongxuan Luo

Object class segmentation of RGB-D video using recurrent convolutional 
neural networks
Mircea Serban Pavel, Hannes Schulz, Sven Behnke

Elimination of spiral waves in a locally connected chaotic neural 
network by a dynamic phase space constraint
Yang Li, Makito Oku, Guoguang He, Kazuyuki Aihara

Stability analysis of delayed neural networks via a new integral inequality
Bin Yang, Juan Wang, Jun Wang

Spike timing-dependent plasticity induces non-trivial topology in the brain
R.R. Borges, F.S. Borges, E.L. Lameu, A.M. Batista, K.C. Iarosz, I.L. 
Caldas, C.G. Antonopoulos, M.S. Baptista

Global dissipativity of memristor-based neutral type inertial neural 
networks
Zhengwen Tu, Jinde Cao, Ahmed Alsaedi, Fuad Alsaadi

A perturbative approach for enhancing the performance of time series 
forecasting
Paulo S.G. de Mattos Neto, Tiago A.E. Ferreira, Aranildo R. Lima, 
Germano C. Vasconcelos, George D.C. Cavalcanti



From g.yang at imperial.ac.uk  Tue Mar 28 10:32:07 2017
From: g.yang at imperial.ac.uk (Guang Yang)
Date: Tue, 28 Mar 2017 15:32:07 +0100
Subject: Connectionists: CFP - MM-WHS 2017: MICCAI Challenge on
	Multi-Modality Whole Heart Segmentation
Message-ID: <CAHJYchsN2XSSEE9qSsJRU5UyFd4qiEHhoHPs7Jgeg3i1jKoSKA@mail.gmail.com>

************************************************************
**********************************************************************
*******************************************************

MM-WHS 2017: Multi-Modality Whole Heart Segmentation Challenge in
conjunction with STACOM and MICCAI 2017

************************************************************
**********************************************************************
*******************************************************

website: http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/mmwhs/index.html

Together with the success of the STACOM workshop (held with MICCAI since
2011), we present the 1st Challenge on Multi-Modality Whole Heart
Segmentation (to be held with MICCAI 2017, in Quebec City, Canada). The
Challenge provides 120 images, including 60 cardiac CT and 60 cardiac MRI,
all acquired in real clinical environment, for various research groups to
test and validate their methods, particularly for multi-modality whole
heart segmentation. The aim of the Workshop will not only be benchmarking
various whole heart segmentation algorithms, but also to cover the topic of
general cardiac image segmentation and registration and modeling. The best
work will be awarded with a prize funded by Nvidia, and the accepted
manuscript will be included into the proceedings published with the STACOM
workshop (Lecture Notes in Computer Science LNCS | Springer). In addition,
the benchmarked algorithms will be summarised to form a full paper for
potential publications in MedIA and IEEE TMI, and the participants will
share the credit.



Topics:

Whole heart segmentation (WHS), including

- Atlas based WHS

- Statistical shape model based WHS

- Deep learning WHS

- Other methods

General cardiac image segmentation

Registration and modeling for cardiac images



Important Dates

- Submission deadline:

  June 12th, 2017

- Notification of acceptance:

  July 3th, 2017

- Camera ready:

  July 17th, 2017

- Workshop Date:

  (TBA) Sep 10 or 14th, 2017, Quebec City, Canada



Website

- http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/mmwhs/

- http://stacom2017.cardiacatlas.org/

- http://stacom.cardiacatlas.org/



Sponsors

- Nvidia

- TBA.



Organization

- Xiahai Zhuang, School of Data Science, Fudan University, Shanghai China.

- Guang Yang, National Heart and Lung Institute, Imperial College London,
UK.

- Lei Li, School of Biomedical engineering, Shanghai Jiao Tong University,
China.



Advisory and Program Committee

- Elsa Angelini, Telecom ParisTech

- Wenjia Bai, Imperial College London

- John Camm, St George's Hospital

- Alejandro Frangi, University of Sheffield

- David Firmin, Imperial College London

- Polina Golland, Massachusetts Institute of Technology(MIT)

- Alberto Gomez, St Thomas hospital, Kings College London

- Vicente Grau, University of Oxford

- Jennifer Keegan, Imperial College London

- Huafeng Liu, Zhejiang University

- Raad Mohiaddin, Imperial College London

- Alison Noble, Oxford University

- Sebastien Ourselin, University College London

- Dudley Pennell, Royal Brompton Hospital

- Terry Peters, Robarts Research Institute, The University of Western
Ontario

- Tom Wong, Royal Brompton Hospital

- Max A. Viergever, University Medical Center Utrecht

- Jurgen Weese, Philips Research

- Guang-Zhong Yang, Imperial College London

- Songhua Zhan, Shanghai Shuguang Hosptial

- Shaoting Zhang, University of North Carolina at Charlotte

- Guoyan Zheng, University of Bern


-- 
------------------------------------------------------------
---------------------------------------------
In a world without fences and walls, why bother 'GATES' and 'WINDOWS'?
------------------------------------------------------------
---------------------------------------------
Guang YANG (Ph.D.)
Research Fellow
National Heart and Lung Institute,
Imperial College London.
-----------------------------------------------------
Honorary Lecturer
Neurosciences Research Centre,
St George's, University of London.
-----------------------------------------------------
Internal 2169
Switchboard +44 (0)20 7352 8121 <+44%2020%207352%208121>
Emails. g.yang at imperial.ac.uk and gyang at sgul.ac.uk
Web. https://www.imperial.ac.uk/people/g.yang
Cell.  +44 (0)79 224 224 99
------------------------------------------------------------
---------------------------------------------
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From marcello.pelillo at gmail.com  Tue Mar 28 10:41:10 2017
From: marcello.pelillo at gmail.com (Marcello Pelillo)
Date: Tue, 28 Mar 2017 16:41:10 +0200
Subject: Connectionists: Call for Papers - EMMCVPR 2017 (Venice,
	Italy) (co-located with ICCV 2017)
Message-ID: <CAHjEq_v1pkKF6donyKghvXhsgaokT7M+cL7YpTMrT7chwQNWmA@mail.gmail.com>

Call for Papers

?


*EMMCVPR 2017*


*11th International Conference on Energy Minimization Methods inComputer
Vision and Pattern Recognition*

30 October ? 1 November 2017
Venice, Italy


(Co-located with ICCV 2017 <http://iccv2017.thecvf.com/>)


http://www.dsi.unive.it/emmcvpr17




*?>>>  Submission deadline: 24 July 2017?  <<<*



Energy minimization methods have become an established computational
paradigm in computer vision and pattern recognition. EMMCVPR is a regular
bi-annual conference dedicated to advancing the state of the art in this
field. This year marks the 20th anniversary of the foundation of the
workshop series, with the inaugural meeting having taken place in Venice in
1997 <http://www.dsi.unive.it/%7Eemmcvpr/>, and we will celebrate it by
bringing it back to Venice.

The conference will be co-located with ICCV 2017
<http://iccv2017.thecvf.com/>, the International Conference on Computer
Vision.

The scientific program will include the presentation of invited plenary
talks and contributed research papers.


Topics of interest include but are not limited to:

- Discrete and continuous optimization
- Convex programming and relaxations
- PDE and variational methods
- Stochastic optimization
- Spectral methods
- Graphical models and markov random fields
- Statistical methods and learning
- Graph-theoretic
?and network-based ?
methods
- Analysis of deep architectures
- Adversarial and game-theoretic models


Application areas include but are not limited to:

- Object recognition and detection
- Scene understanding
- Segmentation and grouping
- Restoration and inpainting
- Color and texture
- Computational photography
- Photo and video editing
- Motion and tracking
- Matching and registration
- Medical image analysis
- Pose estimation
- Action and event recognition
- Shape analysis
- Shape-from-X
- Stereo and 3D reconstruction
- Multiview geometry
- Vision for graphics




*?Paper submission*

All papers (not exceeding 14 pages) must be submitted electronically
at the conference
website <http://www.dsi.unive.it/emmcvpr17/>. All submissions will be
subject to a rigorous peer-review process. Accepted papers will appear in
the workshop proceedings, which will be published in Springer?s Lecture
Notes in Computer Science
<https://www.springer.com/gp/computer-science/lncs> (LNCS) series
? after the conference.?




?
*Important dates*

-
? ?
Paper submission: 24 July 2017
-
? ?
Notifications: 15 September 2017
-
? ?
Conference: 30 October ? 1 November 2017
-
? ?
Camera-ready due: 1 December 2017
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From kyunghyun.cho at nyu.edu  Tue Mar 28 12:33:36 2017
From: kyunghyun.cho at nyu.edu (Kyunghyun Cho)
Date: Tue, 28 Mar 2017 12:33:36 -0400
Subject: Connectionists: [CFP] The 2nd Workshop on Representation Learning
	for NLP
Message-ID: <CACZ0-WC3A7yirtN8D9fE=LMhmh_yUn-cw5CKqaDcgcsyvc=9RA@mail.gmail.com>

The 2nd Workshop on Representation Learning for NLP (
https://sites.google.com/site/repl4nlp2017/) invites papers of a
theoretical or experimental nature describing recent advances in vector
space models of meaning, compositionality, and the application of deep
neural networks and spectral methods to NLP. Relevant topics for the
workshop include, but are not limited to, the following areas (in
alphabetical order):

* Analysis of language using eigenvalue, singular value and tensor
decompositions
* Distributional compositional semantics
* Integration of distributional representations with other models
* Knowledge base embedding
* Language modeling for automatic speech recognition, statistical machine
translation, and information retrieval
* Language modeling for logical and natural reasoning
* Latent-variable and representation learning for language
* Multi-modal learning for distributional representations
* Neural networks and deep learning in NLP
* The role of syntax in compositional models
* Spectral learning and the method of moments in NLP
* Language embeddings and their applications

= Important Dates =

Deadline for submission: 21 April 2017
Notification of acceptance: 19 May 2017
Deadline for camera-ready version: 26 May 2017
Early registration deadline (ACL'17): 9 June 2017
Workshop: 3 August 2017

= Submissions =

We solicit three categories of papers: regular workshop papers, extended
abstracts and cross-submissions. Only regular workshop papers will be
included in the proceedings as archival publications, and only regular
workshop papers will be eligible for best paper prizes. All three
categories of papers may be long (maximum 8 pages plus references) or short
(maximum 4 pages plus references). All submissions should be in PDF format
and made through the Softconf website set up for this workshop (
https://www.softconf.com/acl2017/repl4nlp/).

== Regular Workshop Papers ==

Authors should submit a long paper of up to 8 pages, with up to 2
additional pages for references, or a short paper of up to 4 pages, with up
to 2 additional pages for references, following the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). The reported research should be
substantially original. Accepted papers will be presented as posters.
Reviewing will be double-blind, and thus no author information should be
included in the papers; self-reference that identifies the authors should
be avoided or anonymized. Accepted papers will appear in the workshop
proceedings.

=== Best Paper Prizes ===

Thanks to generous support from our sponsors: DeepMind, Microsoft Research,
and Facebook AI Research, we will be awarding a prize of $300 to the three
best regular workshop paper submissions as selected by our program
committee, to be presented at the workshop. Both long and short regular
submissions will be eligible for prizes. Best papers may be given the
opportunity for a brief ?lightning? talk to introduce their work.

== Extended Abstracts ==

Preliminary but interesting ideas or results that have not been published
before may be submitted as extended abstracts. Accepted extended abstracts
will be presented as posters, and included in the workshop program and
handbook, but will not be included in the workshop proceedings (and are not
eligible for best paper prizes). Extended abstract submissions are
therefore ideal for preliminary work which would benefit from exposure but
is not ready for publication. Authors should submit a long extended
abstract of up to 8 pages, with up to 2 additional pages for references, or
a short extended abstract of up to 4 pages, with up to 2 additional pages
for references. Submissions should follow the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). Reviewing will be double-blind, and thus
no author information should be included in the papers; self-reference that
identifies the authors should be avoided or anonymized.

== Cross-Submissions ==

In addition to previously unpublished work, we also solicit papers on
relevant topics that have appeared in a non-NLP venue (e.g., workshop or
conference papers at NIPS or ICML). Accepted cross-submissions will be
presented as posters, with an indication of original venue, but will not be
included in the workshop program and handbook, or the workshop proceedings
(and are not eligible for best paper prizes). Cross-submissions are ideal
for related work which would benefit from exposure to the RepL4NLP
audience. Submission length is determined by the original venue. Interested
authors should submit their papers in PDF format through the RepL4NLP
Softconf website (URL to be announced), with a note on the original venue.
Papers in this category do not need to follow the ACL format and selection
will be solely determined by the organizing committee.

= Workshop Sponsors =

Google DeepMind, Microsoft Research, and Facebook
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From marcel.van.gerven at gmail.com  Tue Mar 28 22:45:38 2017
From: marcel.van.gerven at gmail.com (Marcel van Gerven)
Date: Wed, 29 Mar 2017 04:45:38 +0200
Subject: Connectionists: PhD or Postdoc Image processing and psychophysics
 for visual neuroprosthesis (1.0 FTE)
Message-ID: <8132D79D-0F4F-42E1-A5F8-D4CBE5A5C537@gmail.com>

PhD or Postdoc Image processing and psychophysics for visual neuroprosthesis (1.0 FTE)

Responsibilities

A PhD Candidate or Postdoc position is available in the Visual Neuroscience and Computational Cognitive Neuroscience groups at the Donders Institute for Brain, Cognition and Behaviour (Radboud University, Nijmegen, Netherlands). This exciting project is one of five closely interrelated sub-projects, funded by a Dutch NWO (TTW) grant to advance the relatively young field of brain-machine interfaces for vision restoration. Our international consortium comprises researchers in neurobiology and AI, engineers in microelectronics and wireless communications, and leading industry partners from the Netherlands and abroad.  
  
You will carry out academic research in image processing and behavioural testing for the development of neuroprostheses for blind persons. You will report and publish your research findings in separate articles during the course of your project. These articles will form part of your doctoral thesis, which you will defend at the end of your research in order to obtain a PhD degree. In addition to your research activities you will be expected to take part in the Cognitive Neuroscience Graduate School of the Donders Institute for Brain, Cognition and Behaviour. As part of this programme you will improve basic skills such as academic writing as well as broaden and deepen your knowledge by participating in symposia, colloquia and summer schools. You will be expected to take part in the teaching of Bachelor?s and Master?s students.  
  
Based on the needs of blind persons, you will design, implement and test image processing software on mobile devices in order to convey practical information that is behaviourally relevant and contextually appropriate. You will test and refine the image-processing tools with realistic simulations of electrically generated vision in sighted subjects. You will test properties of the evoked images, allowing the evaluation of the utility of ?phosphene vision? in daily life.

Work environment

The Donders Institute for Brain, Cognition and Behaviour is a world-class research centre devoted to understanding the mechanistic underpinnings of the human mind. The Institute is home to more than 600 researchers from 35 countries. You will join the Visual Neuroscience group of Prof. Richard van Wezel and the Computational Cognitive Neuroscience group led by Dr van Gerven at the Donders Institute for Brain, Cognition and Behaviour (Radboud University, Nijmegen, Netherlands). These groups investigate visual processing (see www.van-wezel.nl) and neural network-based modelling of cognitive processes (see www.ccnlab.net).

What we expect from you

You should have an MSc or PhD degree (or equivalent) in a field related to neuroscience (e.g. artificial intelligence, cognitive science, physics or biology). Candidates familiar with image processing, machine learning, deep neural networks, software development and behavioural testing are particularly encouraged to apply. Experience with computer programming (e.g. Python, C++, etc.) is a prerequisite. You are expected to work in an interdisciplinary environment, sharing technical know-how and ideas.

What we have to offer
	? employment: 1.0 FTE;
	? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
	? PhD: the starting salary is ?2,191 per month on a full-time basis, the salary will increase to ?2,801 per month in the fourth year (p scale);
	? Postdoc: the starting salary is ?2,552 per month on a full-time basis, the salary will increase to ?4,028 per month in the fourth year (scale 10);
	? duration of the contract: PhD 4 years, Postdoc 3 years;
	? your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended;
	? you will be classified as a PhD Candidate (promovendus) or Postdoctoral Researcher 4 (onderzoeker) in the Dutch university job-ranking system (UFO).

Are you interested?

You should upload your application (attn. of Prof. dr. Richard van Wezel) via the following link: 

http://www.ru.nl/werken/details/details_vacature_0/?recid=596959

Your application should include (and be limited to) the following attachment(s):
	? Motivation letter
	? CV including the contact details of two people who we may approach for recommendations
	? One page summary of your Master?s/PhD project

For more information about this vacancy, please contact: 

Prof. dr. Richard van Wezel
Telephone: +31 24 3614247
E-mail: r.vanwezel at donders.ru.nl

Dr. Marcel van Gerven
Telephone: +31 24 3655931
E-mail: m.vangerven at donders.ru.nl



From weng at cse.msu.edu  Tue Mar 28 18:51:24 2017
From: weng at cse.msu.edu (Juyang Weng)
Date: Tue, 28 Mar 2017 18:51:24 -0400
Subject: Connectionists: BMI 2017 Program Announced
Message-ID: <f51fa6d8-fb15-65b0-f381-8123a4f97a9a@cse.msu.edu>

*BMI 2017 Program announced

AIML Contest
Unique for
Task-Independent and Modality-Independent
Brain-Inspired Engines
<http://www.brain-mind-institute.org/program-summer-2017.html>*

*Important dates: *
Monday March 27, 2017: deadline for recommendation of contest learning 
engines
Monday April 10, 2017: deadline for application for admission and 
application for BMI fellowship. Students must get admitted first.
Monday April 24, 2017: deadline for advance registration of BMI courses 
and AIML Contest entries
May 16, 2917:  AIML Contest Panel during IJCNN 2017: 2016 awards, 1st 
place: $10,000, presentations, and Contest 2017 kick-off
May 29 - June 16, 2017 (three weeks): distance learning course BMI 831 
Cognitive Science
June 19 - July 7, 2017 (three weeks): distance learning course BMI 861 
Brain Automata
July 10 - July 28, 2017 (three weeks): distance learning course BMI 871 
Computational Brain-Mind
July 31 - Aug. 11, 2017: Contest workshops: Hands on contest engines 
(free for one person of each AIML Contest entry)
Dec. 4, 2017: results from contest entries due by noon
Date TBD, 2018: AIML Contest 2017 announcements, awards, and contest 
presentations.  First place: $10,000.*
*

-- 
--
Juyang (John) Weng
------------------- Work ---------------------  ---- Technology Transfer ----
Professor                                       Founder
Department of Computer Science and Engineering  GENISAMA LLC
MSU Cognitive Science Program                   Okemos, MI 48864 USA
and MSU Neuroscience Program                    Tel: 517-980-6270
428 S Shaw Ln Rm 3115                           Web: genisama.com
Michigan State University                       --------- Outreach ----------
East Lansing, MI 48824 USA                      Founder
Tel: 517-353-4388                               Brain-Mind Institute
Fax: 517-432-1061                               Web: brain-mind-institute.org
Email:weng at cse.msu.edu                          Brain-Mind Magazine
Web:http://www.cse.msu.edu/~weng/               Web: brain-mind-magazine.org
----------------------------------------------  -----------------------------


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From simone.scardapane at uniroma1.it  Wed Mar 29 04:02:25 2017
From: simone.scardapane at uniroma1.it (Simone Scardapane)
Date: Wed, 29 Mar 2017 10:02:25 +0200
Subject: Connectionists: [2nd CfP] 18th Int. Conf. on Engineering
 Applications of Neural Networks (EANN 2017, Athens, Greece)
Message-ID: <de29f2e1-8ead-fb7f-75ae-a039a5dd5e53@uniroma1.it>

[Apologies if you receive multiple copies of this CFP]

--------------------------------------------------------------------------
        18th Int. Conf. on Engineering Applications of Neural Networks
              EANN 2017 (Athens, Greece, August 25-27, 2017)
                Paper submission deadline: 20th April, 2017
                   https://conferences.cwa.gr/eann2017/
--------------------------------------------------------------------------

Call for Papers
--------------------------------------------------------------------------
EANN promotes the use of ARTIFICIAL NEURAL NETWORKS (ANN) and ARTIFICIAL 
INTELLIGENCE (AI) techniques, where significant benefits can be derived 
from their use. The conference is not only for reporting advances in 
techniques, but also for showing how ANN and AI can provide practical 
solutions in a wide range of applications.

Papers are presented orally. Submissions are welcome from all fields of 
Artificial Intelligence and engineering and some special sessions, 
dedicated to these different fields are organized. Both theoretical and 
practical work should be submitted, but the authors are encouraged to 
focus their paper on the presentation of an application featuring 
experimental results on real world data.


Proceedings
--------------------------------------------------------------------------
The proceedings of the conference will be published in the Springer CCIS 
Series. Authors are invited to submit electronically original, 
English-language research contributions or experience reports not 
concurrently submitted elsewhere. The proceedings of the conference will 
be published in Springer CCIS Series. Papers should be no longer than 10 
pages formatted according to the well known LNCS Springer style. 
Submissions not conforming to the CCIS format, or being obviously out of 
the scope of the conference, will be rejected without review. 
Information about the Springer format can be found at 
http://www.springer.de/comp/lncs/authors.html. Three to five keywords 
characterizing the paper should be indicated at the end of the abstract.


Special Issues
--------------------------------------------------------------------------
- Selected papers will be considered for publication in NEURAL COMPUTING 
AND APPLICATIONS (Springer Journal) Impact Factor 1.492
- Selected papers will be considered for publication in EVOLVING SYSTEMS 
(Springer Journal)


Workshops
--------------------------------------------------------------------------
* 6th Mining Humanistic Data wks (MHDW 2017)
* 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2017)
* Intelligent Systems for Audio-based Monitoring (ISAM 2017)
* Computational Intelligence Paradigms for Anomaly Detection in Dynamic 
and Uncertain Environments (CIPAD 2017)
https://conferences.cwa.gr/eann2017/workshops/


Keynotes
--------------------------------------------------------------------------
Three distinguished Keynote Speakers on Artificial Intelligence will be 
invited to give Keynote Lectures on state of the art topics.

* Plamen Angelov, University of Lancaster, UK
* Wlodeck Duck, Nicolaus Copernicus University, Polland
* Stefanos Kollias,  University of Lincoln, UK


Important dates
--------------------------------------------------------------------------
     * Paper submission: April 20th, 2017
     * Notification of paper acceptance: May 13th, 2017
     * Conference Dates: 25-27 August, 2017

From pierre-yves.oudeyer at inria.fr  Wed Mar 29 05:53:13 2017
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Wed, 29 Mar 2017 11:53:13 +0200
Subject: Connectionists: Tenure-Track Faculty positions in Robotics at ENSTA
	ParisTech (with possible integration in the joint Inria-Ensta
	ParisTech Flowers lab)
Message-ID: <9568E3EE-7562-4406-A21B-EEDB1D578241@inria.fr>

Tenured and Tenure-Track Faculty positions in Robotics at ENSTA ParisTech (with possible integration in the joint Inria-Ensta ParisTech Flowers lab)

Position description

The Computer Science and System Engineering (U2IS) at ENSTA ParisTech is opening several tenured and non-tenured faculty positions in the field of robotics.

The candidates will be recruited in the Autonomous Systems and Robotics research team (ASR), inside the U2IS laboratory. ASR dedicates itself to the development of technological systems with strong autonomy and high dependability, focusing in particular on learning, perception, navigation, human-robot interaction for assistive robotics and intelligent vehicles. The candidates will lead research and innovation activities on one or several of the following themes:

navigation, SLAM, localization, planning and control
perception, computer vision, image processing
machine learning, deep learning, developmental and cognitive robotics
system architecture for autonomous vehicles.
These activities should be conducted in the application areas of intelligent vehicles or assistive/service robotics, in link with the other members of the team. In particular, candidates could be integrated in the joint ENSTA ParisTech-INRIA FLOWERS team (http://flowers.inria.fr). The candidates are expected to participate in the development of partnerships, collaborations and contractual relations in his domain, particularly in partnership with industry. Inquiries about the scientific context of the position can be directed to David Filliat (david.filliat at ensta-paristech.fr) or Bruno Monsuez (bruno.monsuez at ensta-paristech.fr).

Faculty duties include teaching at the graduate and undergraduate levels, research, and supervision of student research. Basic knowledge, or willingness to learn french language are required as part of the teaching will be in french. Candidates must have the ability to develop a leading research program with a focus on technology development and translation into concrete applications of robotics or Intelligent Vehicles.

About ENSTA

ENSTA ParisTech is one of the most renowned French institutes of engineering education and research (Grande Ecole). Located in Palaiseau, it offers graduate level scientific education, excellent research facilities and a broad international network. It is a founding member of Paris-Saclay University, a federal university composed of 19 institutions (Universities, Grandes Ecoles, Research organisms). Large companies have also settled their research center in this area so that by 2020, this scientific cluster, the largest in France, will gather up to 15% of French research.
Application

Requirements for applying for tenured position are: possession of a doctoral university degree, excellent skills in teaching and research, completed habilitation (post-doctoral degree) or comparable research experience, obtained as part of an academic or non-academic position.

Requirements for applying for non-tenured position are: possession of a doctoral university degree, a good teaching experience, have a strong publication record, and have experience with conduction research projects. The successful candidates will be expected to conduct high quality research, teach to a diverse and talented student body, and secure competitive external funding.

The complete application package required includes:

a curriculum vitae including a list of publications;
a brief statement explaining the candidate's contribution to their best two publications, with embedded links to the publications in pdf format;
a research statement;
a teaching statement including a list of lectures the candidate could teach;
the names and email addresses of three references.
Applications should be sent to: Bruno Monsuez (bruno.monsuez at ensta-paristech.fr). The positions will open on March 30th, 2017 and the selection process will continue until the position is filled.

Links

ENSTA ParisTech
Official position description (in French)
Autonomous Systems and Robotics team

================

Pierre-Yves Oudeyer
Research director, Inria
Head of Flowers Lab
Inria and Ensta ParisTech, France
https://flowers.inria.fr
http://www.pyoudeyer.com

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From mark.humphries at manchester.ac.uk  Wed Mar 29 06:43:26 2017
From: mark.humphries at manchester.ac.uk (Mark Humphries)
Date: Wed, 29 Mar 2017 10:43:26 +0000
Subject: Connectionists: PhD project in "Data-mining for large-scale neural
	recordings"
Message-ID: <7E954275ED82B9468C2C731FB72522F5013E031ADF@MBXP09.ds.man.ac.uk>

We seek PhD candidates for the project "Data-mining for large-scale neural recordings", supervised by Dr Mark Humphries at the University of Manchester.

The aim of this project is to develop data-mining (or "knowledge-discovery") approaches to large-scale neural recordings. This project will build on a range of statistical and machine-learning tools built by the Humphries' lab [Humphries, 2011; Bruno et al 2015], to develop a comprehensive, statistically-rigorous approach to data-mining neural activity recordings. We seek candidates with a background in statistics, physics, maths, computer science, engineering, or other quantitative disciplines.

(Bruno, A., Frost, W. F., & Humphries, M. D. (2015) Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program. Neuron, 86, 304-318.
Humphries, M. D. (2011) Spike-train communities: finding groups of similar spike-trains. Journal of Neuroscience, 31: 2321-2336)

Deadline for applications: Friday, 21st April 2017
More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84600&LID=1020

Questions: mark.humphries at manchester.ac.uk<mailto:mark.humphries at manchester.ac.uk>

Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/


_____________________________________________________________________________
Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health


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From martinvinck at gmail.com  Wed Mar 29 08:55:08 2017
From: martinvinck at gmail.com (Martin Vinck)
Date: Wed, 29 Mar 2017 14:55:08 +0200
Subject: Connectionists: announcement ESIsync 2017 conference
Message-ID: <CAAn08hRcPU4Zieb+yhTiBON=Yzf5Ks9W9xsPXYYetuga_Gf6eA@mail.gmail.com>

-----------------------------------------------------------------------------------------------------------------------
Dear Colleagues,

registration is now open for the ESI- Systems Neuroscience Conference
2017. The conference will take place on July 24th and 25th, at the Max
Planck Institute for Empirical Aesthetics in Frankfurt.

This year?s theme is "Principles of structural and functional brain
connectivity?.  The talks will cover a wide range of techniques,
including electrophysiology, calcium imaging, fMRI, and computational
methods for connectivity analysis.

Confirmed speakers at present are: Christopher Moore, Rafael Yuste,
Charles Gilbert, Fritzjof Helmchen, Thomas Klausberger, Olaf Sporns,
Maria Ercsey-Ravasz, Suliann Ben Hamed, Christopher Pack and Matthew
Larkum.

We welcome submissions for poster presentations.

More information can be found at: http://www.esi-frankfurt.de/esisync/

Regards,

On behalf of the organizers:
Wolf Singer, Pascal Fries, Renata Vajda, Martin Vinck, Gustavo Rohenkohl
-----------------------------------------------------------------------------------------------------------------------


From vicen.gomez at upf.edu  Wed Mar 29 09:51:00 2017
From: vicen.gomez at upf.edu (=?UTF-8?B?VmljZW7DpyBHw7NtZXo=?=)
Date: Wed, 29 Mar 2017 14:51:00 +0100
Subject: Connectionists: Senior faculty position at Universitat Pompeu Fabra,
	Barcelona
Message-ID: <0f0374d8-6ce1-4a01-644a-0b6bda1f76ac@upf.edu>

The Department of Information and Communication Technologies (DTIC) at 
Pompeu Fabra University (UPF), Barcelona, invites applications for a 
senior faculty position in Computer Science. The department is 
especially interested in candidates in all areas of machine learning in 
the framework of the Maria de Maeztu Research Program.

Deadline for application is in two weeks, before Apr 12th.

Please follow this link for further information.

https://www.upf.edu/es/web/etic/senior-faculty-position



-- 
Vicen? Gomez Cerda
Departament de Tecnologies de la Informacio i les Comunicacions
Universitat Pompeu Fabra, Barcelona
http://www.mbfys.ru.nl/staff/v.gomez/
tel: +34 93 542 29 52


From mikkelsen.kaare at gmail.com  Wed Mar 29 10:29:40 2017
From: mikkelsen.kaare at gmail.com (Kaare Mikkelsen)
Date: Wed, 29 Mar 2017 15:29:40 +0100
Subject: Connectionists: Fwd: Position: Postdoctoral Research Assistant in
 Smart Sleep Monitoring, University of Oxford
In-Reply-To: <CAD+6jt5CawF8T_GTAtyHRKWXu8aHzBibs-aOjF0uRKtubOy-kQ@mail.gmail.com>
References: <CAD+6jt5CawF8T_GTAtyHRKWXu8aHzBibs-aOjF0uRKtubOy-kQ@mail.gmail.com>
Message-ID: <CAD+6jt7d0+3vQfr-iQ6pqV9RmW=53NqGZ7NeSYo8KD=7UP0FwA@mail.gmail.com>

We are seeking a full-time Post-doctoral Research Assistant to join the
Institute of Biomedical Engineering, in the Department of Engineering
Science. The post is funded by the National Institute of Health Research
(NIHR) and is fixed-term for 3 years.

As part of a team developing novel technology and algorithms for monitoring
sleep and circadian patterns of patients with RBD and Parkinson?s in home
settings, you will be responsible for designing a system for a
user-friendly behind the ear sleep sensor with integrated analytics for
long-term monitoring of sleep and circadian rhythms at home. This work is
undertaken as part of a collaboration with the neurology Department of the
Oxford University Hospitals NHS Foundation Trust.

You will have a PhD (or near completion) in a relevant computer science,
engineering, maths or technology subject and will possess expertise in
information engineering, signal processing, or a cognate discipline. You
will have experience of working in a highly interdisciplinary team.

Informal enquiries may be addressed to Professor Maarten De Vos (
maarten.devos at eng.ox.ac.uk).

You will be required to upload a covering letter/supporting statement,
including a brief statement of research interests (describing how past
experience and future plans fit with the advertised position), CV and the
details of two referees as part of your online application.

Only applications received before 12.00 noon on 24 April 2017 can be
considered.

The Department holds an Athena Swan Bronze award, highlighting its
commitment to promoting women in Science, Engineering and Technology.
For further information: http://www.jobs.ac.uk/job/AYF182/postdoctoral-
research-assistant-in-smart-sleep-monitoring/
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From julian.mcauley at gmail.com  Wed Mar 29 23:12:35 2017
From: julian.mcauley at gmail.com (Julian McAuley)
Date: Wed, 29 Mar 2017 20:12:35 -0700
Subject: Connectionists: CFP: KDD 2017 workshop - Machine learning meets
	fashion
Message-ID: <CAPE26VytuNYVQ4RhG-9O2e+c2Q-vqfUADt6C7AqKMzTPyu-SJQ@mail.gmail.com>

Machine learning meets fashion: Data, algorithms and analytics for the
fashion industry
The second international workshop on fashion and KDD
14th August, 2017 - Halifax, Nova Scotia - Canada

https://kddfashion2017.mybluemix.net/

Paper Submission Deadline: May 26, 2017

Background
----------

Fashion is a multi-billion-dollar industry with social and economic
implications worldwide. The fashion industry has traditionally placed high
value on human creativity and has been slower to realize the potential of
data analytics. With the advent of modern cognitive computing technologies
(data mining and knowledge discovery, machine learning, deep learning,
computer vision, natural language understanding etc.) and vast amounts of
(structured and unstructured) fashion data the impact on the fashion
industry could be transformational. Fashion e-commerce portals are already
using data to be branded as not just an online warehouse, but also as a
fashion destination. Luxury fashion houses are planning to recreate
physical in-store experiences for their virtual channels, and a slew of
technology startups are providing trending, forecasting, and styling
services to the fashion industry.

The second international workshop on fashion and KDD will be hosted at KDD
2017 in Halifax, Nova Scotia - Canada on 14th August, 2017. The goal of
this workshop is to gather people from academia, industry, and startups
working at the intersection of fashion and data mining and knowledge
discovery to further the technology and its adoption. The first
international workshop on fashion and KDD was organized at KDD 2016 and was
a big success.

Topics of Interest
------------------

This is a new emerging area for the KDD community and we hope this workshop
will bring together all the researchers, practitioners, and interested
audiences to explore the open problems, applications, and future directions
in this field. We believe that the fashion industry introduces a number of
interesting data analytics problems that are either not studied or scarcely
studied in the past and can attract great interest in the general KDD
community given their practical implications. Suggested topics include (but
not limited to):

- Detect and forecast fashion trends and cycles
- Big data for fast fashion (the like of Zara, H&M, and Primark)
- Analyzing fashion blogs, articles, and images
- Visual search for fashion e-commerce
- Fashion image understanding and auto-tagging of apparel
- Novel search mechanisms for large fashion catalogs
- Virtual personal fashion assistants
- Recommendation engines and cognitive stylists for fashion
- Balancing art and science in fashion recommendation algorithms
- Personal styling with humans and machines: recommendations with humans in
the loop
- Assembling outfit recommendations: interactions and serendipity
- Algorithmic clothing: design by data
- Predicting fashionability scores
- Social networking for fashion
- Fashion retail analytics
- Interactive textiles
- Digital wardrobe
- Mining style rules
- Assessing fashion personality (from social media platforms)
- Virtual trial rooms
- Plagiarism detection in fashion
- Fashion and wearable computing
- Technology in fashion weeks

We also invite submissions in other retail domains where design, trends,
styling, recommendations are important (for example, jewelry, furniture
etc.).

Submission Guidelines
---------------------

https://easychair.org/conferences/?conf=ml4fashion0

We solicit submission of papers of 4 to 10 pages representing reports of
original research, preliminary research results, case studies, proposals
for new work and position papers. We also seek poster submissions based on
recently published work (please indicate the conference published). All
papers will be peer reviewed, single blind (i.e. author names and
affiliations should be listed). If accepted, at least one of the authors
must attend the workshop to present the work. The submitted papers must be
written in English and formatted in the double column standard according to
the ACM Proceedings Template, Tighter Alternate style (
http://www.acm.org/publications/proceedings-template). The papers should be
in PDF format and submitted via the EasyChair submission site (
https://easychair.org/conferences/?conf=ml4fashion0). The workshop website
will archive the published papers.

For more information or any clarifications please email
fashionkdd2017 at gmail.com

- Paper Submission Deadline: May 26, 2017
- Acceptance Notifications: June 16, 2017
- Camera-Ready Submission Date: Jun 28, 2017
- Workshop date: August 14, 2017

All deadlines are at 11:59 PM Pacific Standard Time.

Organizers
----------

- Vikas C. Raykar, Researcher, IBM Research
- Soo-Min Pantel, Applied Science Manager, Amazon
- Raghavendra Singh, Researcher, IBM Research
- Julian McAuley, Assistant Professor, University of California, San Diego
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From nwg-course at bcf.uni-freiburg.de  Thu Mar 30 05:21:14 2017
From: nwg-course at bcf.uni-freiburg.de (nwg-course)
Date: Thu, 30 Mar 2017 11:21:14 +0200
Subject: Connectionists: BCF/NWG Course: Analysis and Models in
	Neurophysiology
Message-ID: <8ba2bc25-248b-7bf7-92be-06f262eed16e@bcf.uni-freiburg.de>

BCF/NWG Course

"Analysis and Models in Neurophysiology"

Sunday, October 8 - Friday, October 13, 2017
Bernstein Center Freiburg, Hansastra?e 9a, 79104 Freiburg, Germany


Aim of the course:

The course is intended to provide advanced Diploma/Masters and PhD 
students, as well as young researchers from the neurosciences with 
approaches for the analysis of electrophysiological data and the 
theoretical concepts behind them.

The course includes various topics such as:

  * Neuron Models and Point Processes (Prof. Stefan Rotter)
  * Local field potentials (Prof. Ulrich Egert)
  * Functional Imaging (Dr. Pierre LeVan)
  * Neural Decoding (Prof. Carsten Mehring)


The course will consist of lectures in the morning and matching 
exercises using Matlab and Mathematica in the afternoon. The 
participants should have a basic understanding of scientific 
programming. This course is designated especially for advanced 
diploma/master students and PhD students (preferentially in their first 
year).

Application:
Please apply by sending one single pdf document containing your CV and a 
meaningful letter of motivation to nwg-course at bcf.uni-freiburg.de 
<mailto:nwg-course at bcf.uni-freiburg.de>.
The letter of motivation should refer to the following points:

  * Reasons for wanting to take this course
  * Background in mathematics
  * Background in scientific programming
  * Experience in using Matlab and Mathematica
  * Background in neuroscience


The course is limited to 20 participants.

Course fees: NWG members - free, others - 125?

Application deadline: June 15, 2017

More information: 
http://www.bcf.uni-freiburg.de/events/conferences-workshops/20171008-nwgcourse


*-- Anne Karina Feldmeth -- *Teaching & Training Coordinator Bernstein 
Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg 
Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559 E-Mail: 
anne.karina.feldmeth at bcf.uni-freiburg.de


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From Pavis at iit.it  Thu Mar 30 05:41:56 2017
From: Pavis at iit.it (Pavis)
Date: Thu, 30 Mar 2017 09:41:56 +0000
Subject: Connectionists: Postdoctoral position in Pattern Recognition,
 Machine Learning and Computer Vision for the analysis of
 neuroimaging, biomedical and biological data - [ Postdoc 73154 ]
In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C8878BC5956@IITMXWGE015.iit.local>
References: <0E09F354EB71FC40A4D51EE54D8A9C8878BC5956@IITMXWGE015.iit.local>
Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C8878BC69EF@IITMXWGE015.iit.local>

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data - [ Postdoc ]
Workplace: IIT - Genova - Italy

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://www.iit.it/pavis.html) is looking for a highly qualified candidate in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis interested and possibly with some experience on Biomedical Data Analysis.

PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging.

The main mission of PAVIS is to design and develop innovative computational frameworks for advanced image-based and video-based data analysis, characterized by the use of smart sensors and advanced imaging devices. PAVIS plays an active role in supporting other research units at IIT providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.

For this reason, previous multidisciplinary experience is an added value which will be properly considered.

The biomedical imaging team is involved in activities concerning:

?       Biomedical image analysis;

?       Analysis of multimodal neuroimaging data (functional and structural connectomics);

?       Biological signal/image/video processing;

?       Analysis of microscope optical imaging;

?       Animal behavior analysis (classification and abstraction).

The ideal candidate must be knowledgeable within one or more of the following subjects: probabilistic graphical models, topic models and Bayesian non-parametric, relational learning, deep learning, RBMs, neural networks and auto-encoders, sparse and dictionary learning, kernel methods and manifold learning, graph-based learning and spectral analysis.

Candidates to this position have, therefore, a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines.

Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. A keen interest in biomedical applications is of course necessary. Strong programming skill is required.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.

The position is offered for a period of 2 years.  Salary will be commensurate to qualification and experience and in line with international standard.

Further details and informal enquires can be made by email to pavis at iit.it quoting PAVIS-PD 73154 as reference number in the subject.

Please send you application both to pavis at iit.it and to applications at iit.it, quoting PAVIS-PD 73154 as reference number, along with a curriculum listing all publications (possibly including pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees.

This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by April 15, 2017.

In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), we have to kindly ask the candidate to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia.

Your data will be processed by Istituto Italiano di Tecnologia, with headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper based means, observing the rules on protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.

Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.


From shuzo.sakata at strath.ac.uk  Thu Mar 30 10:03:09 2017
From: shuzo.sakata at strath.ac.uk (Shuzo Sakata)
Date: Thu, 30 Mar 2017 15:03:09 +0100
Subject: Connectionists: Postdoctoral Position (neural ensemble dynamics
 during REM sleep) at University of Strathclyde in Glasgow, UK
Message-ID: <CAEb+1FAzHbiMXuHJMfR1_4iWSf1=n593r-dSQ3mcwh60ki7OpA@mail.gmail.com>

Applications are invited for a postdoctoral research position in the
group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and
Biomedical Sciences at University of Strathclyde, Glasgow, UK. This
position is funded by the Leverhulme Trust.

Mission of our research team is to understand state-dependent
information processing in the brain at the level of neural circuits.
This project particularly concerns REM sleep. Taking multidisciplinary
approaches, we are aiming to elucidate the function of sub-second
brain waves and underlying neural ensemble dynamics during REM sleep
in rodents. As a large data set has been already collected, this
project will focus primarily on data analysis and developing a
computational model.

The successful applicant will have a PhD in the field of neuroscience,
engineering, statistics, computer science, physics or related fields.
Strong quantitative skills for neurophysiological data (e.g., LFP,
neuronal ensemble, video image) and/or computational modelling would
be advantageous.

Applicants should send (1) a CV and (2) a summary of their specific
interests in our research programs to Dr. Shuzo Sakata, email:
shuzo.sakata at strath.ac.uk.


-- 
Shuzo Sakata, Ph.D.
Senior Lecturer in Circuit Neurophysiology

Strathclyde Institute of Pharmacy and Biomedical Sciences
University of Strathclyde
161 Cathedral Street, Glasgow G4 0RE, UK
tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562
email: shuzo.sakata at strath.ac.uk

The University of Strathclyde is a charitable body, registered in
Scotland, number SC015263

From shuaili.sli at gmail.com  Thu Mar 30 11:14:06 2017
From: shuaili.sli at gmail.com (Shuai Li)
Date: Thu, 30 Mar 2017 16:14:06 +0100
Subject: Connectionists: [meetings]CFP - DSCI 2017 at San Francisco,
	USA - Due by Apr 7
Message-ID: <CAENVYZMhm58baNU-tec5fJavLVodbn0pL4POsfb8MKWZ6Un_FA@mail.gmail.com>

Dear All,

We are glad to announce the availability of Call for Conference Papers
for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence
and Computing, Main Research Track: Data Science and
Computational Intelligence, Aug 4 - Aug 8, San Francisco, CA, US (DSCI
2017).

The purpose of this conference is to identify challenging problems facing
the development of innovative knowledge and information systems, and
to shape future research directions through the publication of high
quality,
applied and theoretical research findings. As we enter the big data era,
Web Intelligence has extended and made use of artificial intelligence for
new products, services and frameworks that are empowered by the
World Wide Web. In DSCI 2017, we will continue the tradition of
promoting collaboration among multiple areas. This year we are highlighting
the advances in frontiers and applications of general areas such as big
data,
data science, artificial intelligence, social computing, data mining,
information
retrieval, and machine learning, etc. This is uniquely placed to deliver
fresh
perspectives on big data science.

Topics of interest include, but are not limited to, the following areas:
* Big Data Analysis
* Data Science
* Artificial Intelligence
* Data Mining
* Machine Learning
* Recommender Systems
* Deep Neural Networks
* Systems Neuroscience
* Reinforcement Learning
* Robotics
* Database
* Computer Vision
* Natural Language Processing
* Human-Computer Interaction
* Software Engineering
* Social Computing

Accepted papers must contain novel results. Contributions can be either
theoretical or empirical. Results will be judged on the degree
to which they have been objectively established and/or their
potential for scientific and technological impact.

===============================================================
The 2017 IEEE International Conference on Ubiquitous Intelligence and
Computing,
Main Research Track: Data Science and Computational Intelligence

                               Aug 4 - Aug 8, San Francisco, US (DSCI 2017)

Author Notification: May 10, 2017
Camera-Ready Due: June 10, 2017
===============================================================

Research Track Chairs:
Shuai Li, University of Cambridge, UK
Fei Hao, Shaanxi Normal University, China

Program Committee Members:
Qingcheng Zhang, St. Francis Xavier University, Canada
Zheng Pei, Xihua University, China
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

+Paper Submission:
A submission in PDF is limited to 8 pages for a main conference paper,
following the IEEE proceedings format:
https://www.ieee.org/conferences_events/conferences/
publishing/templates.html
Submit by email directly:
sl814 at cam.ac.uk and fhao at snnu.edu.cn

+Paper Publication:
Accepted conference papers will be published by IEEE (IEEE-DL and EI
indexed).
At least one author of each accepted paper is required to register and
present their
work at the conference; otherwise the paper will not be included in the
proceedings.
Best Paper Awards will be presented to high quality papers. Selected papers
will be
recommended to special issues, more details see
http://ieee-smartworld.org/2017/uic

Should you have any other concern feel free to contact:
shuai.li at eng.cam.ac.uk
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From jimtoer at ifi.uio.no  Thu Mar 30 13:05:45 2017
From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=)
Date: Thu, 30 Mar 2017 17:05:45 +0000
Subject: Connectionists: PhD Fellowship in Machine learning/AI for Mental
 Health Technology in University of Oslo, Norway
Message-ID: <13D37F58-2028-48F7-8CD7-A4E658ED5239@mail.uio.no>

A fully-funded PhD Position is available in the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin )
The main objective of the project is to increase access to mental health services for common mental health problems by developing technology which can guide patients with limited or no therapist support through a treatment process adapted to each user. The specific goal of the PhD project is to contribute to developing a patient monitoring and support system that consists of collecting data from the patient for modelling behaviour and emotional state, to be used for prediction and adaptation of the treatment. The work would be building on the state-of-the-art knowledge in sensors, apps, behavioral models and machine learning.
The PhD project is connected to and include collaboration with researchers in the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no<http://www.intromat.no> ). The project ? led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphones and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes. In the application, please briefly describe the relevance of the Master thesis work and other project work relevant for the position.
The fellowship will be for a period of 3 years with a potential for a fourth year for duty work (see announcement for details).
More details about the position is given here: http://www.mn.uio.no/ifi/english/research/doctoral-degree/seven-phd-research-fellowships-in-informatics/projects/p24-robin-mental-health-tech.pdf
Qualifications:
Applicants must have a Master?s degree or equivalent in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. The applicants would be competing with candidates applying to other announced positions at our department. Thus, having international scientific publications would be a strength.
Pay grade: NOK 432 700 - 489 300 per year, approx.: $50,300 ? 56,900 / ?47,000 ? 53,200 (depending on qualifications and seniority)
Full announcement and application portal: https://www.jobbnorge.no/en/available-jobs/job/135487/phd-research-fellowships-in-informatics-seven-positions
Include ?P24/ROBIN/Mental Health Technology? in the heading of your application when you apply through the web interface.
Closing date for applications:  18th April, 2017
Contact for more information:  Prof. Jim Torresen  E-mail:  jimtoer at ifi.uio.no<mailto:jimtoer at ifi.uio.no>

Jim Torresen
Professor
Department of Informatics
University of Oslo
PO Box 1080 Blindern
N-0316 Oslo
====================
E-mail: jimtoer at ifi.uio.no<mailto:jimtoer at ifi.uio.no>
Phone: +47 2285 2454
Mobile: + 47 9284 6669



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From conradt at tum.de  Thu Mar 30 15:02:37 2017
From: conradt at tum.de (=?iso-8859-1?Q?J=F6rg_Conradt?=)
Date: Thu, 30 Mar 2017 19:02:37 +0000
Subject: Connectionists: =?iso-8859-1?q?Postdoc_positions_in_event-based_v?=
 =?iso-8859-1?q?ision_and_neurocomputing_systems_at_TU_M=FCnchen=2C_German?=
 =?iso-8859-1?q?y?=
Message-ID: <3f4872017a404d1687f5d693d885dcab@tum.de>

Dear Connectionists,

the NST group at TU M?nchen, Germany,
http://www.nst.ei.tum.de/en

is looking for up to two postdoctoral researchers to join the group as soon as available.
Research covers event-based vision and neurocomputing systems from biological modelling to engineering applications.
http://www.nst.ei.tum.de/en/research/

Upcoming projects address engineering applications of neural computation; e.g. neuronal models for sensory perception, reasoning, and action generation in robotics. Preference will be given to (a) engineering applications of event-based vision and (b) investigations in spiking computing algorithms on neuromorphic hardware, such as SpiNNaker, TrueNorth, Spikey, etc. The successful postdoc is expected to initiate novel research projects (initial funding is available) and to supervise graduate and undergraduate students in his/her area of expertise. Strong programming skills are essential!

Current funding is secured until September 2018 with possible extension. The positions include a reduced teaching obligation of ~2.5h per week in the recently established ENB Elite Master Program on NeuroEngineering (http://www.msne.ei.tum.de).

To inquire please send brief email to office at nst.ei.tum.de<mailto:office at nst.ei.tum.de>. To apply, please send a concise (max 1/2 page) statement of your research interest and how you fit in our group, accompanied by your CV and names + email addresses of 2 references to office at nst.ei.tum.de<mailto:office at nst.ei.tum.de>. We are very much looking forward to extending our group!

Thank you for spreading the announcement!

  J?rg Conradt

--
J?rg Conradt
W1 Professor of Neuroscientific System Theory       www.nst.ei.tum.de<http://www.nst.ei.tum.de/>
Center of Competence on NeuroEngineering            www.NeuroEng.de<http://www.neuroeng.de/>
Department of Electrical and Computer Engineering
Technische Universit?t M?nchen, Karlstr. 45, 80333 Munich, Germany
Tel: +49 89 289-26902, Fax: +49 89 289-26901, E-mail: conradt at tum.de<mailto:conradt at tum.de>
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From jimtoer at ifi.uio.no  Thu Mar 30 12:14:16 2017
From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=)
Date: Thu, 30 Mar 2017 16:14:16 +0000
Subject: Connectionists: PhD Fellowship in Robotics and Intelligent Systems
 in University of Oslo, Norway
Message-ID: <A2559F6B-DA64-4CF8-9C9A-9A50CA3B7DE9@mail.uio.no>

A fully-funded PhD position in Machine learning/Artificial intelligence for prediction in robotics or music technology is available in the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin )
The PhD project will be connected to our ongoing Research Council of Norway funded projects about Robot Companions for Elderly Care and/or Prediction and Coordination for Robots and Interactive Music. They are both concerned with applying machine learning/artificial intelligence for analyzing multi-sensor systems to train behavior models of both robots and human users for predicting future events and actions. The projects target to develop computational intelligence models being able to represent behaviour and act with timely response through prediction capabilities whether it regards the systems itself or its user. In the application, please briefly describe the relevance of the Master thesis work and other project work relevant for the position and what you would find most interesting and relevant to work with if offered a position.
The fellowship will be for a period of 3 years with a potential for a fourth year for duty work (see announcement for details).
More  information about the position is given here: http://www.mn.uio.no/ifi/english/research/doctoral-degree/seven-phd-research-fellowships-in-informatics/projects/p25-robin-prediction-in-robotics.pdf
Qualifications: Applicants must hold a Master?s degree or equivalent in computer science including robotics and machine learning/artificial intelligence. Thus, applicants should have a strong background in programming and knowledge about biology-inspired techniques and machine learning. Moreover, knowledge in the fields of rapid prototyping, simulation, and reconfigurable logic/electronics would be an advantage. The candidate should have experience with practical work as we expect the project to involve robot prototypes. The applicants would be competing with candidates applying to other announced positions at our department. Thus, having international scientific publications would be a strength.
Pay grade: NOK 432 700 - 489 300 per year, approx.: $50,300 ? 56,900 / ?47,000 ? 53,200 (depending on qualifications and seniority)
Full announcement and application portal: https://www.jobbnorge.no/en/available-jobs/job/135487/phd-research-fellowships-in-informatics-seven-positions
Include ?P25/ROBIN/Prediction in Robotics? in the heading of your application when you apply through the web interface.
Closing date for applications:  18th April, 2017
Contact for more information:  Prof. Jim Torresen  E-mail:  jimtoer at ifi.uio.no<mailto:jimtoer at ifi.uio.no>

Jim Torresen
Professor
Department of Informatics
University of Oslo
PO Box 1080 Blindern
N-0316 Oslo
====================
E-mail: jimtoer at ifi.uio.no<mailto:jimtoer at ifi.uio.no>
Phone: +47 2285 2454
Mobile: + 47 9284 6669



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From pkoniusz at hotmail.com  Fri Mar 31 06:27:05 2017
From: pkoniusz at hotmail.com (Peter K)
Date: Fri, 31 Mar 2017 10:27:05 +0000
Subject: Connectionists: =?utf-8?q?=5BCFP=5D_CVPR=E2=80=9917_Workshop_on_T?=
 =?utf-8?q?ensor_Methods_in_Computer_Vision_=28TMCV17=29?=
Message-ID: <AM4PR1001MB1348DAA98E33B5B4F5D1450EC0370@AM4PR1001MB1348.EURPRD10.PROD.OUTLOOK.COM>

*******************************************************************************

Tensor Methods in Computer Vision (TMCV), CVPR 2017 Workshop

*******************************************************************************


Tensors have been a crucial mathematical object for several applications in computer vision and machine learning. It has been an essential ingredient in modelling latent semantic spaces, higher-order data factorization, and modelling higher-order information in visual data, and has found numerous applications in several hot topics in computer vision including, but not limited to human action recognition, object recognition, and video understanding. Moreover, tensor-based algorithms are increasingly finding significant applications in deep learning. With the rise of big data, tensors may yet prove crucial in both understanding deep architectures, as well as, may aid robust learning and generalization in inference algorithms. This workshop aims at promoting discussions among researchers investigating innovative tensor-based approaches to computer vision problems.


In this workshop, we solicit original contributions that address a wide range of theoretical and practical issues including, but not limited to:

  *   Tensor methods in deep learning

  *   Supervised learning in computer vision

  *   Riemannian geometry and SPD matrices

  *   Unsupervised feature learning and multimodal representations

  *   Tensors in low-level feature design

  *   Mid-level representations with tensor methods

  *   Low-rank factorisation methods and denoising approaches

  *   Latent topic models using tensor methods

  *   Tensors in optimization and dictionary learning

  *   Tensor hardware architectures

  *   Advancements in multi-linear algebra

  *   Applications of tensors for:

     *   image/video recognition

     *   object recognition

     *   scene understanding

     *   industrial and medical applications


Accepted papers will be allocated 5 minute spotlights and will appear in the IEEE Workshop proceedings of CVPR 2017.


Paper Formatting Guidelines:

The paper formatting should follow the CVPR 2017 guidelines described in http://cvpr2017.thecvf.com/submission/main_conference/author_guidelines. The papers can be at most 8 pages long.


Workshop Details:

Webpage: http://users.cecs.anu.edu.au/~koniusz/tensors-cvpr17/<http://users.cecs.anu.edu.au/%7Ekoniusz/tensors-cvpr17/>

Workshop Schedule: 26th July 2017

CVPR?17 homepage: http://cvpr2017.thecvf.com/

Location: Honolulu, Hawaii, USA

Paper Submission Site: see the workshop website.


Important dates:

Submission Deadline : 20th of April, 2017 (extended from the 1st of April, 2017)

Decision to Authors    : 1st of May, 2017

Camera Ready           : 8th of May, 2017

TMCV Workshop        : 26th of July, 2017


Organizing Committee:

Dr. Piotr Koniusz (Data61/Australian National University)

Dr. Anoop Cherian (Australian National University)

Prof. Fatih Porikli (Australian National University)


Invited Speakers:

  *   Dr. Andrzej Cichocki (Brain Science Institute RIKEN)

  *   Prof. Animashree Anandkumar (University of California, Irvine)

  *   Dr. Ivan Oseledets (Skolkovo Institute of Science and Technology)

  *   Dr. Lieven De Lathauwer (KU Leuven)

  *   Dr. Lior Horesh (IBM T.J. Watson Research Center and Columbia University)

  *   Prof. Luck Florack (Eindhoven University of Technology)
  *   Dr. M. Alex O. Vasilescu (Massachusetts Institute of Technology)

  *   Nadav Cohen (Hebrew University)

  *   Prof. Ren? Vidal (Johns Hopkins University)

  *   Prof. Richard Hartley (Australian National University)


Best Regards,

Piotr, Anoop, and Fatih (Organizers)

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From abby at ldv.co  Fri Mar 31 09:58:15 2017
From: abby at ldv.co (Abigail Hunter-Syed)
Date: Fri, 31 Mar 2017 09:58:15 -0400
Subject: Connectionists: Today is the Deadline for Submissions to the LDV
	Vision Summit ECVC
Message-ID: <CAE7iVM-tW2hoeC5PPgx5VLZQ+MsnLx6GZ6b8_2zTLnGEL+gDgw@mail.gmail.com>

*Today*, Friday, March 31 is the deadline to apply to our Entrepreneurial
Computer Vision Challenge <http://bit.ly/LDVCompetitions> with a project
you recently worked on/submitted to competitions like CVPR and ICCV.
Simply submit
a link <http://bit.ly/ecvcapp> to your project to apply.

Thank you.

Best,

Serge Belongie <https://www.linkedin.com/in/sergebelongie>, Cornell Tech

Evan Nisselson <https://www.linkedin.com/in/nisselson>, Partner - LDV
Capital

Hani Altwaijry <https://www.linkedin.com/in/hani-altwaijry>, Cornell

Abhinav Shrivastava <https://www.linkedin.com/in/abhi2610>, Carnegie Mellon

Shaojun Zhu <https://www.linkedin.com/in/shaojunzhu>, Rutgers
Abby Hunter-Syed <https://www.linkedin.com/in/abigailhunter>, LDV Capital
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From giles at ist.psu.edu  Fri Mar 31 13:23:17 2017
From: giles at ist.psu.edu (Lee Giles)
Date: Fri, 31 Mar 2017 13:23:17 -0400
Subject: Connectionists: Associate Dean of Research at The Pennsylvania
	State University
In-Reply-To: <431a9145-6d14-9a61-badc-b1ae455d38a0@ist.psu.edu>
References: <431a9145-6d14-9a61-badc-b1ae455d38a0@ist.psu.edu>
Message-ID: <8458536d-51d4-f494-b105-6fb749b4ab58@ist.psu.edu>



The College of Information Sciences and Technology (IST) at The Pennsylvania State University
invites applications for Associate Dean of Research at the rank of Professor. We seek candidates
with a strong track record of fundamental and applied research in IST's areas of research and a
background in research management.  Responsibilities include management of IST's research
portfolio, interactions with research community within the university and outside, innovation
management, and promotion and guidance of IST research directions.  We welcome applications
from exceptional candidates from a variety of disciplinary backgrounds (e.g., Computer Science,
Statistics, and Informatics), and interdisciplinary interests (e.g., Life Sciences, Health
Sciences, Cognitive Sciences, Brain Sciences, Social Sciences). Successful candidates will be
expected to have a strong externally funded research program and contribute to graduate and
undergraduate education and training. IST offers a highly collaborative interdisciplinary research
environment, strong research programs in Artificial Intelligence, Data Sciences, Informatics,
Human-Computer Interaction, Information Security and Privacy, and Socio-Technical Systems, a
strong Ph.D. program (with over 100 Ph.D. students), and several highly successful undergraduate
programs (including one in Data Sciences, offered in cooperation with Statistics and Computer
Science and Engineering). IST faculty and students enjoy extensive opportunities for
interdisciplinary collaborations with colleagues from a wide range of disciplines as well as a
number of university-wide cross-cutting centers and institutes (e.g., The Center for Big Data
Analytics and Discovery Informatics, the Institute for Cyberscience, the Huck Institutes of
the Life Sciences, the Social Science Research Institute, the Materials Research Institute,
and the Institute for Energy and the Environment.). The NIH-funded Clinical and Translational
Sciences Institute, the NSF-funded North East Big Data Innovation Hub (wherein Penn State is
one of the 5 lead institutions) and Interdisciplinary Graduate Training Programs in
Bioinformatics and Genomics and in Biomedical Data Sciences (both funded by NIH), and in Social
Data Analytics (funded by NSF) offer additional opportunities for collaborative research and
graduate education.  To apply, please upload a cover letter detailing relevant qualifications
for this job and a resume or curriculum vitae.  Review of applications will start asap and
continue until the position is filled. References will be requested at an appropriate point
in the process.

https://psu.jobs/job/69991


From viktor.sip at univ-amu.fr  Fri Mar 31 14:09:50 2017
From: viktor.sip at univ-amu.fr (Viktor Sip)
Date: Fri, 31 Mar 2017 20:09:50 +0200
Subject: Connectionists: The Virtual Brain Node 5 in Marseille,
	May 15-16 2017
Message-ID: <9020f7ab-4164-e03c-83d8-4a4d05ba0640@univ-amu.fr>

The Virtual Brain (TVB) Node 5

2-day Training Workshop in Marseille, France, on May 15-16, 2017

We would like to invite interested students and researchers to the 
upcoming The Virtual Brain Node 5 workshop, Marseille, France, 15th - 
16th May 2017.

The workshop is dedicated to a theoretical and hands-on understanding of 
large-scale brain network modeling using the open source 
neuroinformatics platform The Virtual Brain (TVB). For the first time 
this workshop will be held over 2 days and will go more in depth 
regarding the hands-on modeling sessions along explicit use cases from 
resting state studies and clinical applications to epilepsy and stroke. 
Also for the first time we will offer in-depth training of fitting 
virtual brain models to human imaging data.

The Virtual Brain simulation environment enables the biologically 
realistic modeling of network dynamics using connectome-based approaches 
across different brain scales. Personalized brain network models can be 
derived from an individual?s MRI data. Configurable brain network models 
generate macroscopic neuroimaging signals including functional MRI, 
intracranial and stereotactic EEG, surface EEG and MEG for single 
subjects. TVB researchers from different backgrounds can benefit from an 
integrative software platform including a supporting framework for data 
management (generation, organization, storage, integration and sharing) 
and a simulation core written in Python.

Workshop format: lectures and hands-on tutorials. Participants are 
encouraged to bring their own data to work on.

Workshop program overview:

- Theoretical background of large scale brain network modeling
- Architecture of The Virtual Brain (TVB)
- Interacting with TVB using GUI and Python interface
- Preprocessing neuroimaging data, or how to obtain a TVB dataset
- Fitting the brain model parameters to the functional data
- Modeling resting state network dynamics in fMRI
- Modeling stroke and recovery
- Modeling epilepsy and surgical interventions
- Modifying TVB code and implementing new features
- Bring your own data hands-on sessions: preprocessing and simulations

Further information and the registration form are at: 
https://www.eventbrite.ca/e/tvb-node5-the-virtual-brain-workshop-registration-33258538183

Registration will be closed on April 20th.

With any questions please contact Viktor Sip (viktor.sip at univ-amu.fr).


-- 
Viktor SIP
INS - Institut de Neurosciences des Syst?mes
UMR INSERM 1106, Aix-Marseille Universit?
27 Bd Jean Moulin
13005 Marseille
France
viktor.sip at univ-amu.fr
http://ins.univ-amu.fr/