From r.jolivet at ucl.ac.uk Tue Nov 1 09:23:02 2016 From: r.jolivet at ucl.ac.uk (Jolivet, Renaud) Date: Tue, 1 Nov 2016 13:23:02 +0000 Subject: Connectionists: Fully funded postdoc position at the University of Geneva Message-ID: <85884756-2B6A-4A89-A7E4-E12E287F81FA@ucl.ac.uk> The University of Geneva seeks one postdoc in computational neuroscience to investigate the relation between information transfer at synapses and in neural networks, and concomitant energy consumption. The starting date is May 2017. This position is fully funded by the Swiss National Science Foundation for 24 months. Initial appointment is for one year. Research will be conducted in the medical physics group of the physics section at the University of Geneva, under the supervision of Prof. Renaud Jolivet. * Summary Information transmission in the brain is energetically expensive, yet has to satisfy demands of speed and signal-to-noise reliability. We have recently shown that the strong retinogeniculate synapse relaying information from the retina to the thalamus resolves these competing constraints by maximizing energetic efficiency when transferring information. In their physiological state, these synapses are not set to transmit the maximum amount of information possible: information transmission increases when larger excitatory postsynaptic currents (EPSCs) are injected into the postsynaptic thalamic neuron. However, EPSCs that are larger or smaller than physiological EPSCs decrease the information transmitted per energy used. The physiological EPSC size therefore maximizes energy efficiency rather than pure information transfer across the synapse. In other words, the retinogeniculate synapse trades information for energy savings (http://dx.doi.org/10.1016/j.cub.2015.10.063; http://dx.doi.org/10.1016/j.neuron.2012.08.019). These findings suggest maximization of information transmission per energy used as a design principle in the brain. However, it is unclear how broadly this principle applies. Whether energy efficiency at excitatory synapses is a special property of strong relay synapses, or a more general principle also governing synaptic inputs that contribute more weakly to determining the output of the postsynaptic cell is an open question. These findings also raise the question of what mechanisms are in effect in order to achieve energetic efficiency of information transfer at synapses. This project will address these questions using information theory and simulations of biologically validated neuron models. Applicants must imperatively be self-sufficient programmers (MATLAB preferred) and have a strong background in computational neuroscience. They should be familiar with several of the following topics: information theory, Hodgkin-Huxley models, the NEURON simulation environment, signal processing, models of synaptic plasticity, models of neural networks. Please contact renaud.jolivet at unige.ch for additional information. * About the University of Geneva (UNIGE) UNIGE is a generalist French-speaking university located in Geneva, Switzerland. The QS World University Rankings 2016 and Times Higher Education World University Rankings 2016/17 respectively rank UNIGE as 95th and 131st worldwide. It ranks 41st worldwide for science (Shanghai Academic Ranking of World Universities in Natural Sciences and Mathematics 2016). It is Switzerland?s second largest university with more than 17000 students of 150 different nationalities and about 4000 researchers of 113 nationalities, who study and work in 9 different faculties. UNIGE trains a large number of PhD students and postdocs in neuroscience. The various research and teaching activities are listed at http://neurocenter.unige.ch/ and at https://www.unil.ch/ln/en/home.html. UNIGE is also developing with other institutions a new campus in Geneva (http://www.campusbiotech.ch/en/), focusing heavily on neuroscience and translational research. Geneva is at the heart of a conurbation with more than 1.25 million inhabitants. It is a global city, a financial center, and worldwide center for diplomacy and research. It has one of the highest quality of life in the world. It offers varied cultural activities and outdoor opportunities being located at one extremity of Lake Geneva, one of the largest lakes in Europe, on the western doorstep of the Alps. The University of Geneva offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. It is an equal opportunity employer and women are encouraged to apply. The official language of the laboratory is English. * How to apply Please send an e-mail to renaud.jolivet at unige.ch with your resume, list of publications, a one-page statement describing your research interests and career plan, and the names of at least three references. ? Prof. Renaud Jolivet CERN, Experimental Physics Department & University of Geneva, Physics Section +41 22 767 24 70 (CERN) +41 22 379 62 75 (UNIGE) +41 79 830 21 29 (mobile) renaud.blaise.jolivet at cern.ch https://sites.google.com/site/renaudjolivet/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Tue Nov 1 08:00:35 2016 From: m.biehl at rug.nl (Michael Biehl) Date: Tue, 1 Nov 2016 13:00:35 +0100 Subject: Connectionists: 14 PhD positions Message-ID: *14 PhD positions in Computer Science and Astronomy* Machine learning, visualization, image processing simulation of complex systems and related fields SUNDIAL (SUrvey Network for Deep Imaging Analysis & Learning) is an ambitious interdisciplinary network of of nine research groups in The Netherlands, Germany, Finland, France, the United Kingdom, Spain, Belgium and Italy. The aim of the network is to develop novel algorithms to study the very large databases coming from current-day telescopes to better understand galaxy formation and evolution, and to prepare for the huge missions of the next decade. We will train 14 ESRs (PhD students) using a combination of training in computer science and astrophysics, and a comprehensive package of complimentary skills training. 6 of these ESRs will be based in a Computer Science node, studying topics such as the detection of ultrafaint galaxy signals, developing automated models for galaxy recognition and classification, and putting forward new methods to compare observations and galaxy simulations as well as visualization. Positions are available across all our nodes, and successful candidates will spend at least six months at secondary nodes. Network activities include internships at our commercial partners, training schools and conferences. Candidates with a background and strong interest in one or several of the following areas machine learning visualization image processing simulation of complex systems or related fields are encouraged to apply before December 15, 2016. Information about the participating nodes, the individual projects and potential supervisors are available at the network's webpage: http://www.astro.rug.nl/sundial Applications should be submitted through this webpage as well. In addition, candidates are encouraged to contact individual supervisors. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From s.frank at ucl.ac.uk Tue Nov 1 10:41:09 2016 From: s.frank at ucl.ac.uk (Stefan Frank) Date: Tue, 1 Nov 2016 15:41:09 +0100 Subject: Connectionists: Contemporary neural network modeling in cognitive science (call for abstracts) Message-ID: The journal /Frontiers in Psychology/ (section /Cognitive Science/) is organizing a special issue ("Research Topic") on Contemporary Neural Network Modeling in Cognitive Science, edited by Stefan Frank, Dan Mirman, and James McClelland. This Research Topic aims to further the continued application of neural network models to address topics in cognitive science and cognitive neuroscience. It will highlight how the latest developments in neural network models can be applied to understanding cognitive and neural processes, and it aims to stimulate further cognitive computational research using the tools, methods, and insights from contemporary neural network research in machine learning and artificial intelligence, while also providing a forum for the presentation of more traditional modeling efforts of high quality. Submissions that report new advances in neural network architectures or methods, apply neural networks to more life-like cognitive tasks and larger-scale data sets, or bridge across different levels of analysis, will be particularly encouraged. Most papers will present research using neural networks to simulate cognitive processes such as perception, memory, and language; and to account for behavioral and/or neuroimaging data. Methods, Protocols, and Technology Reports that describe how to implement neural networks will also be welcome. The deadline for abstract submission is December 1st 2016. Authors of accepted abstracts will be invited to submit a full paper by June 1st 2017. For more information and abstract submission instructions, please visit http://journal.frontiersin.org/researchtopic/5385/contemporary-neural-network-modeling-in-cognitive-science or https://sites.google.com/site/ncpw15/frontiers-research-topic -- Stefan Frank Honorary Senior Research Associate Division of Psychology and Language Sciences University College London www.stefanfrank.info -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhallabhinav at gmail.com Tue Nov 1 13:36:12 2016 From: dhallabhinav at gmail.com (abhinav dhall) Date: Tue, 1 Nov 2016 13:36:12 -0400 Subject: Connectionists: Submission deadline extension - IEEE ISBA 2017 - International Conference on Identity, Security and Behavior Analysis 2017 Message-ID: [Apologies for cross-postings] Submission deadline extension - November 10 2016 ----------------------------------------------- IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017) Location: New Delhi, India Dates: February 22-24 2017 http://ieee-biometrics.org/isba2017/ ----------------------------------------------- The third ISBA is a unique conference series initiated by the IEEE Biometrics and will be held in New Delhi, India. This conference is intended to meet the emerging need for a winter meeting, especially for the Asian participants where the introduction of large scale biometrics programs have attracted significant increase in research and development efforts. It will be a forum that brings together experts in biometrics, security, and human behavior to consider research issues and solutions that are robust, comprehensive, and broader than currently considered in each of these individual research areas. This conference serves to provide a new form for such broad areas defining human side of security and user behavior as well as social influence in the biometrics security. Topics of interest include, but are not limited to: ? Anti-Spoofing, Behavioral Biometrics, Biometric System Evaluation, Biometrics in Law Enforcement, Cybercrime ? De-identification, Detection and Tracking, Device Identification, Digital Forensics ? Human Behavior Analysis, Human Activity Understanding, Identity Management, Information Security, Person Re-identification ? Performance Evaluation, Privacy-preserving Computing, Predictive Analytics, Single and Multi-modal Biometrics ? Social Biometrics, Social and Criminal Network Inference, Surveillance Identification, Template Protection and Data Privacy ? Usability and Performance, User-centric Biometric Security Submitted papers may not be accepted or under review elsewhere. Submissions may be up to eight pages in conference format (double blind reviewing). Papers accepted and presented at ISBA2017 will be published in conference proceedings and made available in IEEE Xplore library. Important dates Submission deadline: November 10, 2016 Decision to authors: December 10, 2016 Camera ready submission: December 20, 2016 Conference: February 22-24, 2017 General Chair Rama Chellappa (University of Maryland, USA) General Co-chairs Ajay Kumar (PolyU, Hongkong) Richa Singh (IIIT-Delhi, India) Program Co-chairs M. Ehsan Hoque (University of Rochester, USA) Nitesh Saxena (University of Alabama at Birmingham, USA) Vishal M. Patel (Rutgers University, USA) Mayank Vatsa (IIIT-Delhi, India) Publication Chair Soma Biswas (Indian Institute of Science, India) Finance Chair Angshul Majumdar (IIIT-D, India) Publicity Chair Abhinav Dhall (University of Waterloo, Canada) Industry Liaison Sameer Shah (HCL, India) http://ieee-biometrics.org/isba2017/ -- Abhinav Dhall, PhD (ANU) Postdoctoral Research Fellow, University of Waterloo -------------- next part -------------- An HTML attachment was scrubbed... URL: From rufin.vogels at kuleuven.be Tue Nov 1 04:35:02 2016 From: rufin.vogels at kuleuven.be (Rufin Vogels) Date: Tue, 1 Nov 2016 08:35:02 +0000 Subject: Connectionists: postdoc KULeuven Message-ID: The Laboratorium voor Neuro- en Psychofysiologie, Dpt Neurosciences at KULeuven (Leuven, Belgium) has a postdoc position available to study visual learning in nonhuman primates. The project will combine monkey fMRI and in vivo electrophysiology in the same animals. Experience with single unit recordings and/or fMRI is a bonus. Knowledge of MATLAB and standard neural data analyses is a must. For further information contact Rufin.vogels at kuleuven.be. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yulia.sandamirskaya at ini.rub.de Tue Nov 1 04:10:05 2016 From: yulia.sandamirskaya at ini.rub.de (Yulia Sandamirskaya) Date: Tue, 1 Nov 2016 09:10:05 +0100 Subject: Connectionists: ANNOUNCEMENT: Misha Mahowald Prize for Neuromorphic Engineering Message-ID: <6F0FB849-9546-43B6-971E-DCA558CDB563@ini.rub.de> CALL FOR SUBMISSIONS: The Second Misha Mahowald Prize for Neuromorphic Engineering. The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, but also neuromorphic software, algorithms, and architectures can compete for the award. The award is named for Misha Mahowald, a creative and influential pioneer, who passed away before she could see the field flourishing. She created some of the first neuromorphic circuits including the silicon retina and the silicon neuron. The Prize is awarded by a jury of international experts and carries a cash prize of USD 3000. The inaugural prize was awarded in 2016 to IBM Research - Almaden for their ground-breaking project on the neuromorphic processor TrueNorth. The competition is open to any individual or research group worldwide. A description of any type of neurally-inspired hardware, software, or algorithm may be submitted. The award is for an original, ground-breaking contribution to neuromorphic engineering. The work of individuals and groups will be considered equally. Only one winner is announced each year. There are no runners-up. Revised resubmissions are encouraged. To apply: Send an extended abstract in English of up to two DIN A4 pages, containing: ? Applicant(s) and affiliation(s) ? Contact person information ? Project title ? Brief description of the work, its novelty, and its potential impact, including images/tables/original paper links ? Link to a video, if applicable (authors must arrange for unrestricted online viewing of video) Send the document as a PDF file (max. size 2 MB) to prize at mahowaldprize.org If a video is included in the submission, a download link to the original source file should be included. The submission deadline is February 1, 2017. 2017 Jury: ? Prof. Dr. Steve Furber, University of Manchester ? Dr. Dan Hammerstrom, DARPA ? Prof. Dr. Christof Koch, CSO, Allen Institute for Brain Science ? Dr. Dharmendra Modha, IBM Research - Almaden ? Dr. Eric Ryu, Master, Samsung Electronics ? Prof. Dr. Terrence Sejnowski, Salk Institute (head of the Jury) The Prize is sponsored by iniLabs, a technology company based in Switzerland that invents, produces, and sells neuromorphic technologies for research. iniLabs plays no role in selecting the nominee. ????????????? Dr. Yulia Sandamirskaya Neuroscience Center Zurich (ZNZ) Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: yulia.sandamirskaya at ini. uzh.ch Tel: +41 77 97 46613, +41 44 63 53066 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: exhibition4-3.pdf Type: application/pdf Size: 1040944 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Wed Nov 2 04:04:37 2016 From: m.biehl at rug.nl (Michael Biehl) Date: Wed, 2 Nov 2016 09:04:37 +0100 Subject: Connectionists: 2nd CFP: Special Session at IJCNN 2017 Message-ID: Apologies for cross-postings. *Second call for papers*: *Special Session at IJCNN 2017 * *Interpretable models in machine learning for advanced data analysis* *Anchorage, Alaska, USA, May 2017* Organizers / contact: Michael Biehl (m.biehl at rug.nl), Thomas Villmann ( villmann at hs-mittweida.de) Technological progress leads to a tremendous growth of the amount of digital data in virtually all scientific and engineering disciplines. At the same time, the structural complexity of the acquired data is increasing steadily. As a consequence, it is instrumental to develop efficient methods for automated data analysis. However, good performance of the methods in terms of, for instance, classification or clustering is frequently not sufficient. Very often, deeper insight into the data processing and the problem at hand is desirable. For example, classifiers should be interpretable as to how the classification of a particular observation is obtained and which of the available information constitutes the basis of the decision. These additional properties of data processing methods can be summarized best by the term interpretability. The aim of the special session is to present and discuss new approaches for data analysis in terms of interpretable models, i.e. aiming at their added value beyond the mere clustering or classification itself. Interpretability of models is essential in nearly all areas of machine learning and data analysis. Hence, the topic of the session should be relevant for a large variety of research areas within the IJCNN community. Possible topics include, but are not restricted to: - prototype based models for unsupervised and supervised learning - analysis of interpretable data structures - interpretable feature extraction for improved performance - visualization of multi-dimensional data for knowledge extraction - integration of prior and expert knowledge - interpretable adaptive (dis-)similarities and relevance learning We encourage researchers interested in the theory and/or real world applications of interpretable models to contribute to the session. Theoretical models should be illustrated, whenever possible. Application oriented contributions should demonstrate how the interpretable models provide new, relevant insights into the data beyond the original task of, e.g., classification, prediction, or clustering. Please visit the conference homepage for practical information and submission guidelines. Important dates: Paper submission: November 15, 2016 Decision notification: January 20, 2017 Final version due: February 20, 2017 IJCNN conference: May 14-19, 2017 -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From secretary at e-nns.org Wed Nov 2 05:01:25 2016 From: secretary at e-nns.org (ENNS Secretary) Date: Wed, 2 Nov 2016 10:01:25 +0100 Subject: Connectionists: [ICANN 2017] Preliminary announcement, 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy Message-ID: Preliminary Announcement [Apologies for cross-postings] =========================================================== www.icann2017.org ICANN 2017 26th International Conference on Artificial Neural Networks Alghero/Sassari, 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/Sassari, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. IMPORTANT DATES Special session / workshop proposals: 15 January 2017 Proposals for competitions and tutorials: 31 January 2017 Submission of demonstration proposals: 1 March 2017 Submission of abstracts and papers: 19 March 2017 Notification of acceptance: 30 April 2017 Camera-ready paper and registration: 15 May 2017 Conference dates: 11 - 15 September 2017 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. 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. 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). 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. WORKSHOPS, SPECIAL SESSIONS, DEMONSTRATIONS, COMPETITION PROPOSALS and TUTORIALS ICANN 2017 invites proposals for workshops, special sessions, demonstrations, competitions and tutorials to be held during the conference. For more information, please refer to the website. 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 ENNS Secretariat, Switzerland -- Caroline Kleinheny secretary ENNS University of Lausanne Laboratoire de Neuroheuristique Internef - 137 CH - 1015 Lausanne Switzerland Tel : +41 21 692 33 88 secretary at e-nns.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: alghero.jpeg Type: image/jpg Size: 41530 bytes Desc: not available URL: From t.heskes at science.ru.nl Wed Nov 2 06:34:59 2016 From: t.heskes at science.ru.nl (Tom Heskes) Date: Wed, 02 Nov 2016 11:34:59 +0100 Subject: Connectionists: Tenure-track position in machine learning and causal discovery at Radboud University Nijmegen Message-ID: <5819C153.1090402@science.ru.nl> [please forward to anyone you think may be interested and qualified; with apologies for cross-posting] ------- A tenure-track assistant professorship in machine learning and causal discovery is available in the Data Science department of the Institute for Computing and Information Sciences, Radboud University Nijmegen. Application deadline: November 30. For more information and to apply see http://www.ru.nl/werken/details/details_vacature_0/?recid=591279 From m.lengyel at eng.cam.ac.uk Wed Nov 2 07:31:33 2016 From: m.lengyel at eng.cam.ac.uk (=?utf-8?B?TcOhdMOpIExlbmd5ZWw=?=) Date: Wed, 2 Nov 2016 11:31:33 +0000 Subject: Connectionists: PhD in Computational Neuroscience at Cambridge University Message-ID: <4D87E789-383B-434B-BD1C-BE100D6799EF@eng.cam.ac.uk> Computational Neuroscience @ Cambridge University 4 year PhD Programme The Computational Neuroscience Group at the Department of Engineering (cns.eng.cam.ac.uk) has openings for PhD students. Affiliated faculty (Guillaume Hennequin, M?t? Lengyel, Timothy O?Leary, and Daniel Wolpert) use mathematical, engineering, and computational approaches to understand dynamical phenomena at the cellular and circuit level, as well as learning and memory in perceptual, cognitive, and motor systems. PhD students in the group have the opportunity to pursue computational studies at the neuronal or behavioural level, or experimental studies of human behaviour using state-of-the-art robotic and virtual reality interfaces, or combine computational and experimental approaches. Potential projects also include experimental work using cutting-edge systems neuroscience methods in collaborating laboratories. Students will also enjoy a close interaction with world-leading groups in machine learning and control theory in Engineering, and with a wide network of collaborators in neurobiology and cognitive science both within and outside Cambridge. We provide intense training and a broad exposure to topics and methods of computational neuroscience, so prior background in neuroscience is not essential, but a strong motivation to understand the brain is important. Students participate in lab rotations during their first year before finalising a project and choosing supervisor(s). Students will be embedded in the Computational and Biological Learning Lab (cbl.eng.cam.ac.uk), which is a lively and dynamic group of around 60 people, and encourages interaction between all members of the lab, including students, postdocs, and faculty. The entire group meets at least three times a week, on top of various other regular activities, such as reading and journal clubs. Applicants should have * strong problem solving and mathematical skills, * a keen interest in neuroscience, * a relevant first degree, such as Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. For more information on the Computational Neuroscience Group, see: cns.eng.cam.ac.uk Informal enquiries should be made prior to application to the relevant member of faculty based on research interests: Guillaume Hennequin , Timothy O'Leary , M?t? Lengyel , or Daniel Wolpert . For 2017 entry, four fully funded studentships for UK students are available within the programme, but applications are also encouraged from the EU and overseas where competitive funding may be available from Cambridge. To be considered for the programme, please apply to ?Engineering PhD?, refer to the Computational Neuroscience Group in your ?research summary?, and name the course director (M?t? Lengyel) as the ?research supervisor? on your application. Applications should be received no later than 7 December 2016. For further details of how to apply see: http://www.graduate.study.cam.ac.uk/how-do-i-apply Shortlisted applicants will be invited to attend interview in January 2017. -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel at eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel From eilif.mueller at epfl.ch Wed Nov 2 10:43:40 2016 From: eilif.mueller at epfl.ch (emuller) Date: Wed, 2 Nov 2016 15:43:40 +0100 Subject: Connectionists: PhD position @ Blue Brain Project - Plasticity in the neocortex Message-ID: <20161102154340.3ca694c3@zimt> ----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Principles of biophysical structural plasticity in the neocortex Supervisors: Prof. Henry Markram, Dr. Eilif Muller Keywords: simulation, neocortex, plasticity, network reorganization, assemblies, coding, dendrites, calcium, NMDA Project description: During our lifetimes, our brains undergo continuous changes as a consequence of our experiences. Synaptic plasticity?the biological process by which brain activity leads to long-term changes in synaptic connections?is thought to be central to learning and memory. However, little is known about how this process shapes the specialization of biological neural networks, such as the neocortex. The objective of the present work will be to devise, implement and study data-driven biophysical models of synaptic and structural plasticity for the formation of functional neocortical networks. This project will leverage the Blue Brain Project data-driven reconstruction of a neocortical microcircuit [1], and augment it with data-driven biophysical calcium-based models of synaptic and structural plasticity. The specific objective of this PhD project will be to implement and constrain models of structural plasticity, and study the formation of assemblies, and emergent structure-function relationships in the presence of structured input. The prospective student will join an ongoing collaboration including international experts in biophysical modeling of plasticity and dendrites, topological analysis of network structure, and optimization of neural simulations for large supercomputers. A significant allocation of computing time on a large HPC system will be at the disposal of this project. [1] Markram, H., Muller, E., Ramaswamy, S., Reimann, M. et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495 (2015). Key external collaborators: Dr. Michael Graupner (CNRS, Universit? Paris Descartes), Prof. Idan Segev (Hebrew University Jerusalem) This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Eilif Muller ------------- Dr. Eilif Muller Section Manager - In Silico Neuroscience - Experimentation EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller From M.Gillies at gold.ac.uk Thu Nov 3 04:15:42 2016 From: M.Gillies at gold.ac.uk (Marco Gillies) Date: Thu, 3 Nov 2016 08:15:42 +0000 Subject: Connectionists: ACM TiiS Special Issue on Human-Centred Machine Learning In-Reply-To: References: <2B8D3511-637F-4A2A-81A8-E4E57F70F489@gold.ac.uk>, , Message-ID: ==================================== 2nd CALL FOR PAPERS ==================================== ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Human-Centered Machine Learning DEADLINE: 2 December 2016 http://tiis.acm.org/ AIMS AND SCOPE Machine learning is one of the most important and successful techniques in contemporary computer science. It involves the statistical inference of models (such as classifiers) from data. It is often conceived in a very impersonal way, with algorithms working autonomously on passively collected data. However, this viewpoint hides considerable human work of tuning the algorithms, gathering the data, and even deciding what should be modeled in the first place. Examining machine learning from a human-centered perspective includes explicitly recognizing this human work, as well as reframing machine learning workflows based on situated human working practices, and exploring the co-adaptation of humans and intelligent systems. A human-centered understanding of machine learning in human context can lead not only to more usable machine learning tools, but to new ways of framing learning computationally. This journal issue will bring together research from different disciplines that aims to create a human-centered approach to machine learning. We invite submissions presenting novel research concerning the role of humans in machine learning systems to a special issue on Human-Centered Machine Learning to be published in the ACM Transactions of Interactive Intelligent Systems (TiiS, see more tiis.acm.org). These include both interactive machine learning systems and user studies that aim to understand the role of people in machine learning (or a combination of the two). The relevant topics are listed below. Since TiiS requires that every submission must demonstrate the two defining characteristics of an interactive intelligent system (tiis.acm.org/about.cfm), this special issue will consider only submissions that have such two defining characteristics. Hence, not every submission that falls into one of the listed topics is relevant to TiiS. TOPIC DIMENSIONS Advancing the state of the art in interactive machine learning * Design of new machine learning systems that is grounded in user research * New methods of interacting with the machine learning process (e.g. interacting during training, data collection, ideation, evaluation and adaptation) * New applications of interactive machine learning * Evaluation of new interactive machine learning systems * New user interaction approaches to machine learning including graphical interfaces but also physical and audio-visual interfaces Understanding the role of people in machine learning * User studies of machine learning systems * Case studies of the use of a machine learning tool * Identifying difficulties that users have with machine learning * Understanding users? conceptual models of machine learning * Identifying ways of using machine learning that do not conform to standard models Supporting Effective Use of Machine Learning * Methods to guide users to give useful information to machine learning systems * Methods to support debugging machine learning systems * Studies of the factors that influence the effectiveness of users? interactions with machine learning systems Visualizing and Explaining Machine Learning systems * Visualizations of the output and internal functioning of machine learning systems * Methods of giving feedback on why a machine learning system acted as it did * Textual, audio and other non-graphical feedback methods * Users studies on the role of feedback in machine learning Beyond Labels * Methods of guiding machine learning systems beyond the standard data labeling or reward signals used in supervised or reinforcement learning * Studies of the types of information that users want to give to machine learning systems * Interactive machine learning systems that allow people to give multiple, diverse forms of information SPECIAL ISSUE GUEST EDITORS * Rebecca Fiebrink (Goldsmiths, University of London) (r.fiebrink at gold.ac.uk) * Marco Gillies (Goldsmiths, University of London) (m.gillies at gold.ac.uk) DATES * By December 2nd, 2016: Submission of manuscripts * By March, 2017: Notification about decisions on initial submissions * By September, 2017: Targeting special issue publication Except for the initial submission deadline, these dates are indicative rather than definitive. Some submissions will be processed more quickly, while others may require more reviewing and revision. Each accepted article will be available online soon after, even if other articles for the special issue are not yet ready for publication. HOW TO SUBMIT Please see the instructions for authors on the TiiS website (http://tiis.acm.org). ABOUT ACM TiiS TiiS (pronounced "T double-eye S"), is an ACM journal for research about intelligent systems that people interact with. -------------- next part -------------- An HTML attachment was scrubbed... URL: From costa at informatik.uni-freiburg.de Thu Nov 3 11:47:27 2016 From: costa at informatik.uni-freiburg.de (Fabrizio Costa) Date: Thu, 3 Nov 2016 16:47:27 +0100 Subject: Connectionists: [CFP Deadline extension]: NIPS 2016 Workshop on Constructive Machine Learning Message-ID: <600fc661-3bb7-5b58-3084-27702e98ec0a@informatik.uni-freiburg.de> Dear Colleagues, We are pleased to announce that the new edition of the Constructive Machine Learning workshop this year will be held at NIPS Barcelona, Spain, Sat Dec 10th. Please visit http://www.cs.nott.ac.uk/~psztg/cml/2016 for more details. Looking forward to seeing you there! Best Regards, Fabrizio Costa, Thomas G?rtner, Andrea Passerini, Fran?ois Pachet ============================================================== Call for Papers NIPS 2016 Workshop on Constructive Machine Learning (NIPS CML) http://www.cs.nott.ac.uk/~psztg/cml/2016 A workshop at the Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2016) Barcelona, Spain Sat Dec 10th 08:00 AM -- 06:30 PM IMPORTANT DATES: ----------------------------------------------------------------------------------------------- Nov 10, 2016: Submission Deadline Nov 24, 2016: Acceptance Notification Dec 1, 2016: Final papers due Dec 10, 2016: Workshop date ============================================================== ABSTRACT: ----------------------------------------------------------------------------------------------- In many real-world applications, machine learning algorithms are employed as a tool in a ''constructive process''. These processes are similar to the general knowledge-discovery process but have a more specific goal: the construction of one-or-more domain elements with particular properties. In this workshop we want to bring together domain experts employing machine learning tools in constructive processes and machine learners investigating novel approaches or theories concerning constructive processes as a whole. Interesting applications include but are not limited to: image synthesis, drug and protein design, computational cooking, generation of art (paintings, music, poetry). Interesting approaches include but are not limited to: deep generative learning, active approaches to structured output learning, transfer or multi-task learning of generative models, active search or online optimization over relational domains, and learning with constraints. Many of the applications of constructive machine learning, including the ones mentioned above, are primarily considered in their respective application domain research area but are hardly present at machine learning conferences. By bringing together domain experts and machine learners working on constructive ML, we hope to bridge this gap between the communities. SUBMISSION INSTRUCTIONS: ----------------------------------------------------------------------------------------------- We welcome contributions on both theory and applications related to constructive machine learning problems. We also welcome submissions containing previously published content in fields related to machine learning, especially descriptions of real-world problems and applications. We welcome work-in-progress contributions, demo and position papers, as well as papers discussing potential research directions. Submission of previously published work or work under review is allowed. However, preference will be given to novel work or work that was not yet presented elsewhere. All double submissions must be clearly declared as such! Submissions will be reviewed on the basis of relevance, significance, technical quality, and clarity. All accepted papers will be presented as posters and among them a few will be selected for the oral presentation. Submissions should use the NIPS style file, with a maximum of 4 pages (excluding references). Accepted papers will be made available online at the workshop website, but the workshop proceedings can be considered non-archival. Submissions need not be anonymous. All papers should be submitted via easychair at the following link: https://easychair.org/conferences/?conf=cml2016 ** The winners of the best paper award will receive a new PS4Pro ** INVITED SPEAKERS AND PANELISTS: ----------------------------------------------------------------------------------------------- Ruslan Salakhutdinov (CMU, deep generative models) Thorsten Joachims (Cornell, coactive learning) Gisbert Schneider (ETH, de novo drug design) Simon Colton (Goldsmiths University of London, computational creativity) Douglas Eck (Google, music generation) Ross Goodwin (NYU ITP, computational creative writing) Florian Pinel (IBM, cognitive cooking) ORGANIZERS: ----------------------------------------------------------------------------------------------- Fabrizio Costa (University of Freiburg) Thomas Gaertner (University of Nottingham) Andrea Passerini (University of Trento) Francois Pachet (SONY Computer Science Laboratory Paris) From a.storkey at ed.ac.uk Thu Nov 3 12:39:53 2016 From: a.storkey at ed.ac.uk (Amos Storkey) Date: Thu, 3 Nov 2016 16:39:53 +0000 Subject: Connectionists: PhD in Data Science at Edinburgh: 10 funded places available Message-ID: <121309f3-ac9d-1f99-0692-63e1f6e2fa6f@ed.ac.uk> ======================================================================== EPSRC Centre for Doctoral Training in Data Science, University of Edinburgh 10 funded PhD places in Data Science Website: datascience.inf.ed.ac.uk Deadlines: * 9 December 2016 (early application deadline - final deadline for non-EU students) * 27 January 2017 (second application deadline) * 17 March 2017 (any remaining places) ======================================================================== The EPSRC Centre for Doctoral Training (CDT) in Data Science is now inviting applications for 10 fully-funded PhD studentships at the University of Edinburgh, to start in September 2017. Students with a strong background in computer science, mathematics, physics, or engineering are particularly encouraged to apply. The CDT focuses on the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce --- ranging from molecular biology to social media, from sustainable energy to health care. Data science asks: How can we efficiently find patterns in these vast streams of data? Many research areas have tackled parts of this problem: * machine learning focuses on finding patterns and making predictions from data; * databases are needed for efficiently accessing data and ensuring its quality; * ideas from algorithms are required to build systems that scale to big data streams; * the mathematical fields of statistics and optimization provide foundational tools and theory; * natural language processing, computer vision, and speech processing consider the analysis of different types of unstructured data. Recently, these distinct disciplines have begun to converge into a single field called data science. The CDT is a 4-year programme: the first year provides Masters level training in the core areas of data science, along with a significant project. In years 2-4 students will carry out PhD research in Data Science, guided by PhD supervisors from within the centre. The CDT is funded by EPSRC and the University of Edinburgh. Edinburgh has a large, world-class research community in data science to support the work of the CDT student cohort. The city of Edinburgh has often been voted the 'best place to live in Britain', and has many exciting cultural and student activities. Because of constraints from funding agencies, there are different rules for funding depending on your fee status: * UK and EU students: Full funding (fees and stipend) is available. * Non-EU students: Funding is significantly more competitive; for details, please see datascience.inf.ed.ac.uk/apply/information-for-non-eu-students/ Application Deadlines: * _9 December 2016_ -- applicants are encouraged to apply by this deadline; certainly overseas applicants should apply by this deadline for full consideration * _27 January 2017_ -- all UK and EU applicants should apply by this deadline for full consideration * _17 March 2017_ -- any remaining UK and EU studentships will be allocated in this round See datascience.inf.ed.ac.uk/apply for further information and application forms. Sign up on https://goo.gl/forms/FIaumrW8qH6KlP0v2 for updates. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From pblouw at uwaterloo.ca Thu Nov 3 15:44:12 2016 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Thu, 3 Nov 2016 15:44:12 -0400 Subject: Connectionists: Call for Applications - 2017 Nengo Summer School Message-ID: Hello! [All details about this school can be found online at http://www.nengo.ca/summerschool] The Centre for Theoretical Neuroscience at the University 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: February 15, 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? *Date and Location*: June 4th to June 16th, 2017 at the University of Waterloo, Ontario, Canada. *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! -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimiliano.pontil at gmail.com Fri Nov 4 03:50:58 2016 From: massimiliano.pontil at gmail.com (massimiliano.pontil at gmail.com) Date: Fri, 4 Nov 2016 07:50:58 +0000 Subject: Connectionists: 2 Postdocs in Machine Learning at the Italian Institute of Technology Message-ID: I have openings for 2 postdocs to start in 2017. If you're at NIPS, please email me during the next weeks, to allow for the possibility of meeting in person. Areas of research interest include: - kernel methods - online learning - multitask and transfer learning - numerical optimization - reinforcement learning - representation learning - sparsity regularization - statistical learning theory Candidates must hold a PhD in Computer science or related discipline (mathematics, statistics, signal processing, operations research). Please note that outstanding applications in other areas will also be considered. Candidates should either have a strong background in machine learning theory and algorithms or strong programming skills involving machine learning algorithms and their applications. An internationally competitive salary package subject to experience will be offered. The scientific environment at IIT is a world-class one offering full support to do research at outstanding levels. The positions are based at IIT but collaborations and extended visits at University College London are possible. Interested applicants should submit CV, list of publications, a short statement of research interests and names of 2 references to applications at iit.it quoting ?2 Postdoctoral positions in Machine Learning? in the e-mail subject. To receive full consideration please apply before December 31, 2016. For more information: https://www.iit.it/careers/openings/opening/277-2-postdoctoral-positions-in-machine-learning Regards, Massimiliano Pontil -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Fri Nov 4 08:55:08 2016 From: m.reske at fz-juelich.de (Martina Reske) Date: Fri, 4 Nov 2016 13:55:08 +0100 Subject: Connectionists: Open position in Juelich, Germany: Scientific Coordinator / Scientific Writer Message-ID: The Institute of Neuroscience and Medicine (INM) at Research Center J?lich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program ?Decoding the Human Brain?. The Supercomputing Centre is home of one of the most powerful machines and has a leading role in the European exascale strategy. Basic neuroscience connects the two research areas as it heavily relies on modeling and simulation, which are necessary to approach the brain?s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. Acquired knowledge allows for the translation of basic findings into clinical applications to better understand neurological and psychiatric disorders, to refine diagnostic processes, and to develop therapy strategies ? crucial tasks we have to face in ageing societies. Additionally, the research lays foundations for novel computer architectures and their operation. The department INM-6, Computational and Systems Neuroscience (www.csn.fz-juelich.de), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. The department INM-6 hosts the Coordination Site (BCOS) of the national Bernstein Network Computational Neuroscience. Among others, the INM-6/IIAS-6 is actively involved in the EU flagship project ?Human Brain Project? (HBP, https://www.humanbrainproject.eu/) and leads several tasks and workpackages in the subproject Theoretical Neuroscience, as well as in the Neuroinformatics, Brain Simulation, High-Performance Analytics and Computing und Neuromorphic Computing Platforms. Together with its partners, INM-6 develops analysis tools and the leading simulation code (NEST) for brain scale networks with cellular resolution in an open source approach (http://www.nest-initiative.org/). NEST has been under continuous development for 20 years and is serving a worldwide community. We are looking to recruit a Scientific Coordinator / Scientific Writer Your Job: The tasks relate to two main areas, which could also serve as a basis for job sharing. Focus 1: Scientific Coordination: * Support of drafting of research proposals and grants * Supervision and controlling of administrative aspects of third party funded projects, incl. monitoring of project milestones, collecting and providing material for scientific reports, among others in EU projects in close collaboration with scientists, for instance within the Human Brain Project * Collection, processing and evaluation of information relevant for the research strategy * Supporting the heads of the institute in all scientific and administrative matters, incl. the recruitment of staff members * Scientific and administrative project coordination Focus 2: Scientific Writing: * Production of scientific texts, primarily in English, especially documentation of the NEST software for the Human Brain Project * Production of scientific texts, especially in English, for the institute?s website or institute reports in close collaboration with scientists and the heads of the institute * PR activities: Supporting the creation of PR material in English (e.g. flyer, brochures) * Communication with the internal communications department * Proactive maintenance of relevant websites * Development of a social media strategy Superordinate tasks: * Communication with national and international collaborators * Close collaboration with heads of the institute and project partners, especially within the Human Brain Project * Regular organization of and attendance of project meetings and videoconferences together with or substituting for the workpackage leader * Organization, preparation and support of project meetings, e.g. workshops * Maintenance of (e.g. publications-)databases * Supervision of student helpers supporting the scientific coordination team Your Profile: * Completed study in natural sciences, ideally with PhD * Experience in neuroscience and/or physics * Experience with third party funded projects * High communication skills and und ability to work in a team * Excellent verbal and written forms of expression in both, German and English, especially with regard to drafting scientific and administrative texts * Ability to approach tasks with an eye toward efficiency and reproducibility * High ability to work in interdisciplinary, international team * Ability to work under pressure, assertiveness and empathy * Organizational skills * Skilled in software on project planning, text processing (Latex, Word), presentations (Powerpoint), scheduling of dates and websites * Willingness to travel Beneficial: * Work experience abroad * Expertise in Computational Neuroscience * Professional experience in above-mentioned areas of responsibility Our Offer: * International, interdisciplinary working environment on an attractive research campus, ideally situated between the cities of Cologne, D?sseldorf, and Aachen * Integration into a young, interdisciplinary, and international institute * High visibility through participation in and substitution for institute directors at international project meetings in the Human Brain Project * Job in world-class science environment at the interface between neuroscience and technology on the most complex known Systems * Possibility, to apply for a full position or a 50% position. In case of the latter, two colleagues will be recruited to share the above mentioned work load * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Forschungszentrum J?lich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online via our online recruitment system (see here: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2016-250-EN-INM-6.html?nn=363560) until 02.12.2016, quoting the above-mentioned reference number. Contact Human Resource Development Kristin Lux Tel.:+49 2461 61 9700, k.lux at fz-juelich.de Contact at INM-6 Janine Schnell, secretary j.schnell at fz-juelich.de -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanos at cs.ntua.gr Fri Nov 4 09:03:15 2016 From: stefanos at cs.ntua.gr (Stefanos Kollias) Date: Fri, 4 Nov 2016 15:03:15 +0200 Subject: Connectionists: [jobs] up to 4 Lecturer / Senior Lecturer Positions in Machine Learning, University of Lincoln, UK In-Reply-To: <57FE1E97.40009@cs.ntua.gr> References: <57FE1E97.40009@cs.ntua.gr> Message-ID: Dear Colleagues, This is a last reminder (closing date 6th November 2016) for applications for: up to 4 Lecturers/Senior Lecturers in Computer Science with a focus on Machine Learning and related fields, at the University of Lincoln - College of Science - School of Computer Science, UK Location: Lincoln Hours: Full Time Contract Type: Permanent Job Ref: COS278 Lecturer Salary: ?32,004+ Senior Lecturer Salary: ?37,075+ The School of Computer Science at the University of Lincoln has scored highly in the recent independent performance measures of UK university computing departments; in the top 20% for student satisfaction (NSS 2014), the top 50 for research excellence in its publications (RAE 2014) and approximately 10% above the sector average for graduate employability (DLHE 2014). In the most recently published subject league tables (Sunday Times 2015; Complete University Guide 2016) the School is the highest ranked ?new? (post 1992) computer science department in the country. We are seeking to appoint up to Four (4) Lecturers/Senior Lecturers in Machine Learning. You will deliver modules in core computer science and contribute specifically to research in machine learning, both in theory and in practice, including related topics such as data science, artificial intelligence, knowledge representation & reasoning, NLP, multimedia analysis and applications. You will contribute to the University?s ambition to achieve international recognition as a research-intensive institution, conduct high quality research, seek external research income, encourage or facilitate commercial enterprise, supervise postgraduate research students and contribute to wider activities of the School. Candidates should possess a PhD or equivalent experience, ideally in computer or information science and preferably with a track record in the delivery of study modules at undergraduate and/or postgraduate level. You should be able to demonstrate a commitment to maintaining the University?s high standards in teaching and learning. Your research interests will form an integral part of a new research group in Machine Learning at the School of Computer Science, working together with the newly appointed Founding Professor of Machine Learning. It is envisaged that the new group will focus on research into theoretical aspects, methodologies and practical applications of machine learning, as well as providing fundamental expertise in core machine learning to the School?s other research areas. We are seeking a good team worker who will be able to both align with and complement our existing research activity. The University of Lincoln is a forward-thinking, ambitious institution and you will be working in the heart of a thriving, beautiful, safe and friendly city. The School provides a stimulating environment for academic research, and is located on the picturesque waterfront campus in the vibrant city of Lincoln. In 2017 the School will move into new, purpose built facilities. If you would like to know more about this opportunity, please contact Professor Stefanos Kollias (skollias at lincoln.ac.uk). To apply online, please visit the website at http://jobs.lincoln.ac.uk/ Thank you. From tetiana.aksenova at cea.fr Fri Nov 4 11:11:53 2016 From: tetiana.aksenova at cea.fr (Tetiana AKSENOVA 218551) Date: Fri, 4 Nov 2016 15:11:53 +0000 Subject: Connectionists: Postdoctoral Position in Signal processing at CEA Grenoble Message-ID: Postdoctoral Position in Signal processing with the focus on functional Brain Computer Interface at CEA Grenoble, France: Applicants are invited for the research position in the field of Signal processing with the focus on Brain Computer Interface (BCI) with multiple degrees of freedom. Context: The goal of the Brain Computer Interface (BCI) Project at CLINATEC(r) (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects). A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE(r) have been designed for long-term clinical application. The clinical research protocol "BCI and tetraplegia" (PI Prof. Benabid) recently obtained authorizations to perform a clinical trial. The work will be performed in CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble. http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx http://www-leti.cea.fr/fr/Decouvrez-le-Leti/Les-plateformes-d-innovation2/Clinatec Mission: The applicant will intervene during the phase of clinical trials in order to optimize the decoding of ECoG data. In a multidisciplinary environment composed of clinicians, engineers and researchers in mathematics, informatics, electronics and biology, roles of the applicant will be to optimize and implement robust algorithms of adaptive real-time ECoG signal decoding, to develop effector dependent control strategies, including complex effector with multiple degrees of freedoms such as a 4-limb exoskeleton. Postdoctoral fellow will directly participate at clinical trial, contribute to strategies and tools to support patients' re-education, define quality criteria allowing to quantify patients' progress and satisfaction etc. Profile: The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Computer Science, Engineering, Applied Mathematics, Physics) with an emphasis on signals processing. Programming in Matlab and possibly C++ will be a part of the project. Candidates with skills and experience in BCI, EEG/ECoG data analysis, real time signal processing will be preferred. Administrative: Funding is provided by an international mobility program for postdoctoral researchers (Eurotalent) co-funded by the European Commission and the CEA and managed by the CEA .The applicant shall not have resided or carried out its main activity in France for more than 12 months in the last 3 years. The deadline is early December 2016. The start of the contract (18-month duration, potentially renewable once) is expected June-July 2017. Salary is commensurate with experience and the position carries a full social security and health coverage. Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr), Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). Selected candidates will be interviewed in Grenoble. For more information please e-mail to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr) and Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). References. Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid A.-L. (2014, August). CLINATEC(r) BCI platform based on the ECoG-recording implant WIMAGINE(r) and the innovative signal-processing: preclinical results. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1222-1225). IEEE. Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing. Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model. Journal of neural engineering, 11(6), 066005. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wermter at informatik.uni-hamburg.de Fri Nov 4 11:29:37 2016 From: wermter at informatik.uni-hamburg.de (Wermter, Stefan) Date: Fri, 4 Nov 2016 16:29:37 +0100 Subject: Connectionists: [jobs] 2 PhD / Early stage researchers for neural networks, speech, vision and robotics Message-ID: <51067991-281e-0024-73ad-7fcf818d01a8@informatik.uni-hamburg.de> The Knowledge Technology Research Group at the University of Hamburg invites applications for two Early Stage Researchers (ESR) within the Marie Sk?odowska-Curie European Training Network "SOCRATES" - SOcial Cognitive Robotic Agents in The European Society (www.socrates-project.eu). The research area is knowledge technology, intelligent systems and artificial intelligence, in particular neural networks and emotion recognition for interactive social robotics. There are two research positions (PhD studentships, Early Stage Researcher positions -ESR) which will be filled in the context of interactive cognitive robots. The ESR will focus on the following topics: ESR A: Learning face and upper-body emotion recognition ESR B: Learning emotion recognition through auditory cues and language The positions commence on April 1, 2017 or as soon as the position can be filled. The term is fixed to three years. The fixed-term nature of these contracts is based upon the Academic Fixed-Term Labor Contract Act (Wissenschaftszeitvertragsgesetz, WissZeitVG). They are remunerated at the salary level in accordance with the regulations for the Early Stage Researcher (ESR) in EU Marie Sk?odowska-Curie Actions Innovative Training Networks (ITN) (for some general information see also http://ec.europa.eu/research/participants/data/ref/h2020/other/guides_for_applicants/h2020-guide-appl16-msca-itn_en.pdf ) and call for 39 hours of work per week. Responsibilities: Duties include academic services in the project named above. Research associates can also pursue independent research and further academic qualifications. Requirements: A university degree in a relevant subject. In particular, at least an MSc or equivalent in Artificial Intelligence, Computer Science or Engineering with a focus on Intelligent Computing is required. Excellent programming skills (Python, C++ etc.) are needed and a background in at least one of neural networks/affective computing/ robotics would be an advantage for these positions. The posts involve international traveling. Each PhD student will be expected to spend secondments at other partner sites. According to EU mobility rules, the ESR researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany for longer than 12 months in the 3 years immediately prior to their recruitment. Early-Stage Researchers are defined as those who are, at the time of selection, in the first four years (full-time equivalent) of their research careers. The University aims to increase the number of women in research and teaching and explicitly encourages qualified women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg Equality Act (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Severely disabled applicants will receive preference over equally qualified non-disabled applicants. The application deadline is 30.11.2016. For further information, please contact Prof. Dr. Stefan Wermter, Director of Knowledge Technology Institute or consult our website at https://www.informatik.uni-hamburg.de/wtm/ or www.knowledge-technology.info Applications should include an application letter, curriculum vitae, and copies of degree certificate(s) in a single pdf file. Language certificates are requested if available. Please send applications to: Frau K?sters, katja.koesters at informatik.uni-hamburg.de *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Institute Department of Computer Science, WTM, Building F University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ *********************************************** From tetiana.aksenova at cea.fr Fri Nov 4 11:06:17 2016 From: tetiana.aksenova at cea.fr (Tetiana AKSENOVA 218551) Date: Fri, 4 Nov 2016 15:06:17 +0000 Subject: Connectionists: Postdoctoral Position in Neural engineering at CEA Grenoble Message-ID: Postdoctoral Position in Neural engineering with the focus on functional Brain Computer Interface at CEA Grenoble, France: Applicants are invited for the research position in the field of Neural engineering with the focus on l Brain Computer Interface (BCI) with multiple degrees of freedom. Context: The goal of the Brain Computer Interface (BCI) Project at CLINATEC(r) (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects). A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE(r) have been designed for long-term clinical application. The clinical research protocol "BCI and tetraplegia" (PI Prof. Benabid) recently obtained authorizations to perform a clinical trial. The work will be performed in CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble. http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx http://www-leti.cea.fr/fr/Decouvrez-le-Leti/Les-plateformes-d-innovation2/Clinatec Mission: The applicant will intervene during the phase of clinical trial of ECoG based BCI in order to elaborate strategies of training and to optimize the decoding algorithms. In a multidisciplinary environment composed of clinicians, engineers and researchers in mathematics, informatics, electronics and biology, roles of the applicant will be to analyze clinical data harvested from patients, contribute to develop strategies and tools to support re-education in laboratory and natural environments, define quality criteria allowing to quantify patients' progress and satisfaction, contribute to signal decoding and control strategy improvement. Profile: The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (biomedical engineering) with skills in BCI protocols, patients training and signal processing (MatLab). French speaking preferred. Administrative: Funding is provided by an international mobility program for postdoctoral researchers (Eurotalent) co-funded by the European Commission and the CEA and managed by the CEA. The applicant shall not have resided or carried out its main activity in France for more than 12 months in the last 3 years. The deadline is early December 2016. The start of the contract (18-month duration, potentially renewable once) is expected June-July 2017. Salary is commensurate with experience and the position carries a full social security and health coverage. Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr), Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). Selected candidates will be interviewed in Grenoble. For more information please e-mail to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr) and Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). References. Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid A.-L. (2014, August). CLINATEC(r) BCI platform based on the ECoG-recording implant WIMAGINE(r) and the innovative signal-processing: preclinical results. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1222-1225). IEEE. Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing. Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model. Journal of neural engineering, 11(6), 066005. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cshelton at cs.ucr.edu Fri Nov 4 14:21:54 2016 From: cshelton at cs.ucr.edu (Christian Shelton) Date: Fri, 4 Nov 2016 11:21:54 -0700 Subject: Connectionists: Open-Rank Faculty Position at UC Riverside Message-ID: <20161104182154.GM3554@caylus> UC Riverside seeks to fill an open-rank faculty position in Statistical Approaches to Big Data, including computational statistics, modern statistical theory for big data or high dimensional problems, Bayesian approaches to big data, deep learning, and neural networks. To apply, please register through the weblink at https://aprecruit.ucr.edu/apply/JPF00665 (for Assistant Professor) or https://aprecruit.ucr.edu/apply/JPF00668 (for Associate/Full). Deadline: January 6, 2017 for full consideration. For full details, see below. Christian Shelton Professor, Computer Science University of California, Riverside ----------------------------------------------------------- Tenured/Tenure-track Faculty Position Statistical Approaches to Big Data DATA SCIENCE CLUSTER The University of California at Riverside (UCR) is implementing a major expansion of our faculty and investing in state-of-the-art research facilities to support their work. This expansion will build critical mass in 34 vital and emerging fields of scholarship, foster truly cross-disciplinary work, and further diversify the faculty at one of America?s most diverse research universities. We encourage applications from scholars committed to excellence and seeking to help define the research university for the next generation. For more information about our hiring initiative or to submit an application, please visit clusterhiring.ucr.edu or academicpersonnel.ucr.edu. UCR is pursuing a cluster of hires to enhance research strengths in Data Science; such hires will have potential home departments in the Sciences and/or Engineering. Candidates will also join UCR?s Data Science Center and are expected to foster research collaborations with existing faculty across academic departments working on Data Science related topics. The Data Science Cluster is hiring for three positions this year, in the following areas respectively: (i) Genome Data Science, (ii) Statistical Approaches to Big Data and (iii) Big Data in Astronomy. As part of the Data Science Cluster, we seek to fill a tenure-track/tenured (open rank) faculty position in the area of Statistical Approaches to Big Data. Key areas of specialization include: computational statistics, modern statistical theory for big data or high dimensional problems, Bayesian approaches to big data, deep learning, neural networks, and other areas that can make fundamental contributions to the theory, algorithms, and systems aspects of data science. A Ph.D. degree in a field related to Data Science (such as Computer Science, Statistics, or Applied Mathematics) is required by the start of service. This position will commence as early as July 1, 2017 or as negotiated. Salary level will be competitive and commensurate with qualifications and experience. Senior candidates need to have an outstanding record of research, funding support, teaching, and graduate student mentorship, while junior candidates need to show potential to excel in these areas. Advancement through the faculty ranks at the University of California is through a series of structured, merit-based evaluations, occurring every 2-3 years, each of which includes substantial peer input. UCR is a world-class research university with an exceptionally diverse undergraduate student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification. Full consideration will be given to applications received by January 6, 2017. We will continue to consider applications until the position is filled. To apply, please register through the weblink at https://aprecruit.ucr.edu/apply/JPF00665 (for Assistant Professor) or https://aprecruit.ucr.edu/apply/JPF00668 (for Associate/Full). Minorities and members of underrepresented groups are particularly encouraged to apply. For inquiries and questions, please contact Prof. James Flegal at james.flegal at ucr.edu Junior applicants with potential home department in the Bourns College of Engineering should also be aware about the Provost?s Diversity in Engineering Fellows (PDEF) program. This new initiative, created in collaboration with the University of California Office of the President (UCOP), is aimed at supporting emerging scholars as they transition into the professoriate. In addition to a tenure track faculty position and funding for a year of postdoctoral training, participants receive professional development and research funds to assist them to have a successful career in academia. Qualified candidates must demonstrate exceptional promise for, or have a proven record of, conducting independent high-quality published research and teaching, securing external funding, and collaborating across disciplines. Candidates must also have evidence of a commitment to diversity such as engagement with diverse populations of students, role modeling, and mentoring. To be considered for the Provost's Diversity in Engineering Fellows Program, please indicate interest in your cover letter. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, From T.Nowotny at sussex.ac.uk Fri Nov 4 15:08:31 2016 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Fri, 4 Nov 2016 19:08:31 +0000 Subject: Connectionists: 3 Research fellow positions at the University of Sussex Message-ID: <0CFF4B76-1F31-4FE1-8FEF-6B28A47236C4@sussex.ac.uk> Dear Connectionists, We have 3 open positions for research fellows in - Computational Neuroscience - Bio-inspired Robotics - Computer Science (GPU accelerated computing). Summary: - 3 postdoc positions - at the Centre for Computational Neuroscience (CCNR)/ Sussex Neuroscience/ School of Engineering and Informatics - EPSRC funded Brains on Board project - 2 years, extensible up to 5 years - Salary ?32,004 to ?38,183, depending on experience - Expected start date: January 2017 - Closing date: 1 December 2016 Detailed description: The positions are part of the new Brains-on-Board project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1), which is a multi-university collaboration aiming to create robotic controllers that will enable autonomous robots with the navigational and learning abilities of a honeybee. The project involves five research groups at the University of Sheffield, Queen Mary University, London, and the University of Sussex performing research whose goal is biomimetic robot control and which will combine autonomous robotics, computational neuroscience, accelerated neural network simulations on GPU architectures and insect neuroscience and behaviour. In Sussex we are seeking to employ a team of 3 research fellows for initially 2 years, with possible extension up to 5 years. We envisage the fellows to start in January 2017. RF 1 (ref 1388) in bio-inspired robotics, will develop insect-derived models of navigation and apply them to autonomous robots. The work will include refining and developing models of insect navigation and testing them on robotic platforms ranging from the Sussex Gantry robot through wheeled robots to autonomous aerial vehicles. A successful candidate will have a keen interest in the interface of computational biology and bio-inspired robotics and a proven track record in working in this area. RF 2 (ref 1389) in Computational Neuroscience, will work on models of associative learning, multimodal integration and decision making in insects. The work will include formulating neuronal network models of the mushroom bodies, central complex and motor areas of the bee brain constrained by experimental data. The models will then be employed and tested on robotic platforms, including wheeled robots and aerial vehicles. A successful candidate will have a keen interest in computational neuroscience and experience with computational modelling. RF 3 (ref 1390) in Computer Science, working on GPU accelerated simulation of brain models and brain-inspired robot controllers, building on our GeNN meta-compiler and the SpineCreator/SpineML API to GeNN. The work will include developing methods for model- and hardware-aware GPU-accelerated simulations methods that will allow us to efficiently simulate both large-scale models in Computational Neuroscience on super-computers and bio-inspired robotic controllers on embedded systems GPU accelerators. A successful candidate will have proven skills in complex software development with a focus on scientific computing. All RFs will work together on the project within Sussex and in the larger Brains-On-Board team. We encourage applicants to apply for multiple positions if they are interested and feel qualified. Please indicate any preferences when applying for multiple positions. In order to apply got to http://www.sussex.ac.uk/aboutus/jobs/1388-1389-1390 where you can find further details and the application form. The closing date is 1 December 2016. For informal enquiries, please contact Prof Thomas Nowotny (t.nowotny at sussex.ac.uk) or Dr Andy Philippides (andrewop at sussex.ac.uk). With kind regards, Thomas -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Sat Nov 5 03:52:33 2016 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Sat, 5 Nov 2016 08:52:33 +0100 Subject: Connectionists: IEEE SMC Workshop on "The human use of machine learning" -- Venice, Italy, December 16, 2016 Message-ID: *Call for Participation** and Grant Application* * IEEE SMC Workshop* *The Human Use of Machine Learning* European Centre for Living Technology Venice, Italy December 16, 2016 http://www.dsi.unive.it/HUML2016/ We are delighted to announce an interdisciplinary workshop on "The Human Use of Machine Learning," which will be held in Venice, Italy, on *December 16, 2016.* The? ?workshop, which is sponsored by the IEEE SMC Society,? ?aims? ?to solicit an open discussion on the social and ethical challenges posed by the ?recent? explosion of machine learning ??research a?nd ?its? ?applications. The discussion? ?is expected to focus on topics such as fairness, accountability, transparency and privacy, but also on general issues concerning, e.g., responsibility, human factors, values in design, etc.? The workshop? ?will be held at the *European Centre for Living Technology* (ECLT)?, a research center devoted to complex system studies located in central? ?Venice (http://www.ecltech.org/) and? ?is planned to be a one-day meeting with? ?a number of? ?invited? ?contributions from different backgrounds and perspectives, such as machine learning? and? AI, computer ethics,? ?law,? ?philosophy of science? ?and technology, etc. Attendance is *free of charge*, but due to limited space *registration** is mandatory.* To register please send an email to: teresa.scantamburlo at unive.it. A first-in first-served policy will apply. *Young researchers grants* A small number of grants are available for *young researchers* (PhD students or post-docs) and will cover accommodation and living expenses. Applicants should send an email to teresa.scantamburlo at unive.it along with their CV. We also encourage young researchers to submit *a 1-page abstract* (references included) on a published or ongoing research. Selected submissions will be considered for *either* an oral or a *poster presentation. * *Deadline for application and for abstract** submission:* November 20, 2016 *Notifications** of acceptance:* November 24, 2016 For further information feel free to send an e-mail to teresa.scantamburlo at unive.it. -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian.mcauley at gmail.com Sun Nov 6 14:16:32 2016 From: julian.mcauley at gmail.com (Julian McAuley) Date: Sun, 6 Nov 2016 11:16:32 -0800 Subject: Connectionists: SoCal Machine Learning Symposium - Nov 18 @ Caltech, registration deadline Nov 11 Message-ID: Reminder that the registration deadline for the Southern California Machine Learning Symposium is *this Friday*, November 11. http://dolcit.cms.caltech.edu/scmls/ We have 42 posters, three guest speakers, 6 sponsors, plus booths, swag, and wonderful prizes. And catering! Registration is only $10. See the above website for local information etc. Hope to see you there soon! Yisong Yue, Julian McAuley ===== Invited speakers and accepted submissions ===== Invited speakers: Yan Liu (USC) Silvio Savarese (Stanford) Guy Van den Broeck (UCLA) List of accepted submissions: 1. Low-rank Bilinear Pooling for Fine-Grained Classification (Shu Kong and Charless Fowlkes) 2. Using Gaussian process models to predict channelrhodopsin plasma mebrane localization (Kevin Yang) 3. Active Learning from Weak and Strong Labelers (Chicheng Zhang and Kamalika Chaudhuri) 4. Mixed Membership Word Embeddings: Corpus-Specific Embeddings Without Big Data (James Foulds) 5. Tensor Contractions with Extended BLAS Kernels on CPU and GPU (Yang Shi, U N Niranjan, Animashree Anandkumar and Cris Cecka) 6. Exchange Rate Prediction from Twitter's Trending Topics (Fulya Ozcan) 7. Distribution-free Detection of a Submatrix (Ery Arias-Castro and Yuchao Liu) 8. Modeling and Predicting the Performance of Electrical Spinal Cord Stimulation in Patients with Spinal Cord Injury (Ellen Feldman and Joel Burdick) 9. Circuits in the retina: Deep learning as a biological modeling tool (Dawna Bagherian, Taehwan Kim, Yisong Yue and Markus Meister) 10. A simple approach to sparse clustering (Xiao Pu and Ery Arias-Castro) 11. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (Lisha Li, Kevin Jamieson, Giulia Desalvo, Afshin Rostamizadeh and Ameet Talwalkar) 12. Blending Spatial Modeling and Probabilistic Bisection (Sergio Rodriguez and Michael Ludkovski) 13. Relation Extraction from BioMedical Texts using Convolution Neural Networks (Ankit Goyal and Chun-Nan Hsu) 14. Distributed Bayesian Filtering Algorithm for Dynamic Sensor Networks (Saptarshi Bandyopadhyay and Soon-Jo Chung) 15. Collaborative Filtering as a Case-Study for Model Parallelism on Bulk Synchronous Systems (Ariyam Das, Ishan Upadhyaya, Xiangrui Meng and Ameet Talwalkar) 16. A Performance Model for Training Deep Neural Networks (Hang Qi, Evan Sparks and Ameet Talwalkar) 17. Numerical Results on Directed Graph Process Distances for Model Architectures: Inter and Intra-Lineage (Eric Mjolsness and Cory Scott) 18. Gene Regulatory Network Modeling with Neural Network ODEs (Dustin Maurer and Eric Mjolsness) 19. Faster Constraint Solving Using Learning Based Abstractions (Sumanth Dathathri, Nikos Arechiga and Sicun Gao) 20. Active Long Term Memory Networks (Tommaso Furlanello, Jiaping Zhao, Andrew Saxe, Laurent Itti and Bosco S. Tjan) 21. A Class of Neural-Based Dynamics for Online Learning of Incentive Mechanisms in Congestion Games with Stochastic Switching Graphs (Jorge I. Poveda, Philip N. Brown, Jason R. Marden and Andrew R. Teel) 22. Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Space (Yanan Sui and Joel Burdick) 23. Dictionary Learning with Semidefinite Representations (Yong Sheng Soh and Venkat Chandrasekaran) 24. Variational Adversarial Deep Domain Adaptation for Healthcare Time Series (Sanjay Purushotham, Wilka Carvalho and Yan Liu) 25. Abstract: Robust Channel Coding Strategies for Machine Learning Data (Kayvon Mazooji, Frederic Sala, Guy Van den Broeck and Lara Dolecek) 26. Bayesian Triplet Learning (Vicente Malave and Angela Yu) 27. Neural Network Compression With Tensors (Rose Yu and Yan Liu) 28. Boltzmann Chemical Reaction Networks (William Poole, Erik Winfree, Abhishek Behera, Manoj Gopalkrishnan, Nick Jones, Tom Ouldridge and Andres Ortiz-Munoz) 29. Performance Comparison between TRPO and CEM for Deep Reinforcement Learning (Sebastien Arnold, Elizabeth Chu and Francisco Valero-Cuevas) 30. Change-Point Detection without Needing to Detect Change-Points? (Chaitanya Ryali and Angela J. Yu) 31. A Semi-Supervised Machine Learning Approach for Healthcare Applications (Mina Ch. Moghadam, Masoumeh Ebrahimi and Nader Bagherzadeh) 32. What You Ask Is What You Get: Query Design and Robust Algorithms for Crowdsourced Clustering (Ramya Korlakai Vinayak and Babak Hassibi) 33. Associating Semantics to Latent Variables (Armeen Taeb and Venkat Chandrasekaran) 34. Generating Long-term Trajectories Using Deep Hierarchical Networks (Stephan Zheng and Yisong Yue) 35. A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses (Matteo Ruggero Ronchi, Joon Sik Kim and Yisong Yue) 36. Learning recurrent representations for dynamic behavior modeling (Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue and Pietro Perona) 37. Stability of Causal Inference (Leonard Schulman and Piyush Srivastava) 38. Deciding how to decide: dynamic routing in artificial neural networks (Mason McGill and Pietro Perona) 39. Data-Driven Ghosting using Deep Imitation Learning (Hoang Le) 40. Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods (Forough Arabshahi and Animashree Anandkumar) 41. The Possibilities and Limitations of Private Prediction Markets (Rachel Cummings) 42. Learning interpretable features of facial attractiveness (Amanda Song, Linjie Li and Garrison Cottrell) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nzhang at udc.edu Sun Nov 6 09:41:50 2016 From: nzhang at udc.edu (Zhang, Nian) Date: Sun, 6 Nov 2016 09:41:50 -0500 Subject: Connectionists: CFP: The Seventh International Conference on Information Science and Technology (ICIST 2017), Da Nang, Vietnam, April 16-19, 2017 In-Reply-To: References: Message-ID: <32596A4A154B2442BF6312975C518D00048B8BAE187A@UDCMSGSTAFF-M.firebirds.udc.edu> Call for Papers The Seventh International Conference on Information Science and Technology (ICIST 2017), Da Nang, Vietnam, April 16-19, 2017 http://conference.cs.cityu.edu.hk/icist/ The Seventh International Conference on Information Science and Technology (ICIST 2017) will be held in Da Nang, Vietnam during April 16-19, 2017, following the successes of previous events. Located at the central Vietnam, Da Nang is a popular beach resort and the second largest seaport in Vietnam, with three UNESCO heritage sites (Hu?, H?i An, and M? S?n) nearby. ICIST 2017 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and will be submitted for EI indexing. Important Dates Paper submission deadline: November 15, 2016 Notification of acceptance: December 15, 2016 Camera-ready copy and author registration: January 15, 2017 Conference: April 16-19, 2017 From bremeseiro at udc.es Mon Nov 7 04:45:08 2016 From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=) Date: Mon, 7 Nov 2016 10:45:08 +0100 (CET) Subject: Connectionists: 2nd CFP "Machine Learning Methods Applied to Medicine" SS @ IJCNN 2017 In-Reply-To: <1170668362.30874636.1476091016963.JavaMail.zimbra@udc.es> References: <1170668362.30874636.1476091016963.JavaMail.zimbra@udc.es> Message-ID: <737233958.1911619.1478511908025.JavaMail.zimbra@udc.es> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Machine Learning Methods Applied to Medicine" at IJCNN 2017 International Joint Conference on Neural Networks (IJCNN 2017) May 14-19, 2017 - Anchorage, Alaska (USA) - http://www.ijcnn.org/ Machine Learning Methods Applied to Medicine Organized by: Veronica Bolon-Canedo, Amparo Alonso-Betanzos (University of A Coru?a, Spain), Beatriz Remeseiro (University of Barcelona, Spain), Aur?lio Campilho (University of Porto, Portugal) Machine learning has been an active research area in the last decades finding success in many different applications, among them in medical problems. Since machine learning is capable of automating manual processes which practitioners have to carry out --usually time-consuming and subjective--, its use can save time for practitioners and provide unbiased and repeatable results. Furthermore, it is common that data in medicine have large dimensionality but reduced sample size, making even more necessary the use of advanced machine learning techniques for clinical interpretation and analysis. The aim of this special session is to investigate the use of different machine learning techniques or approaches applied to medical problems. Additionally, it provides a platform for academics and clinical researchers to present and share their cutting-edge methods to deal with medical applications, as well as discussing the new challenges that have recently emerged in this exciting cross-disciplinary field . The topics of interest include, but are not limited to: * New challenges in machine learning for medicine * Machine learning for personalized medicine * Artificial intelligence in medicine * Clinical interpretation and analysis * Computer-aided detection and diagnosis * Decision support systems * Feature selection and extraction in medicine * Big data in healthcare * Deep learning in large-scale datasets * Learning in uncertainty labeled data * Learning from sparse/missing/imbalanced data * Biomedical signal and image analysis * Bioinformatics and microarray analysis * Brain-computer interfaces Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. IMPORTANT DATES: Paper submission deadline: November 15, 2016 Paper decision notification: January 20, 2017 Camera-ready submission: February 20, 2017 IJCNN conference: May 14-19, 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Cangelosi at plymouth.ac.uk Mon Nov 7 04:37:41 2016 From: A.Cangelosi at plymouth.ac.uk (Angelo Cangelosi) Date: Mon, 7 Nov 2016 09:37:41 +0000 Subject: Connectionists: =?utf-8?q?Marie_Sk=C5=82odowska-Curie_PhD_Student?= =?utf-8?q?ship_in_Cognitive_Robotics_=28SECURE_ITN=29_-_Plymouth_Universi?= =?utf-8?q?ty?= Message-ID: Early Stage Researcher- Robotics (SECURE-ETN) - PhD Studentship (Cognitive Robotics and Human-Robot Interaction) http://www.jobs.ac.uk/job/AVG895/early-stage-researcher-robotics-secure-etn-phd-studentship-cognitive-robotics-and-human-robot-interaction/ University of Plymouth - School of Computing and Mathematics SECURE is a new Marie Sk?odowska-Curie European Training Network (ETN) with the primary aim to train a new generation of researchers on safe cognitive robot concepts for human work and living spaces on the most advanced humanoid robot platforms available in Europe. The Early-Stage Research (ESR) fellows will be trained for a PhD through an innovative concept of project-based learning and constructivist learning in supervised peer networks where they will gain experience from an intersectoral programme involving universities, research institutes, large and SME companies from public and private sectors. The training domain will integrate multidisciplinary concepts from the fields of cognitive human-robot interaction, computer science and intelligent robotics where a new approach of integrating principles of embodiment, situation and interaction will be pursued to address future challenges for safe human-robot environments. One ESR position at the Centre for Robotics and Neural Systems at Plymouth University will be for a PhD student working on the field of cognitive robotics and human-robot interaction. The duration of the ESR position is for 28 months. The PhD project will investigate the dynamic alignment between robots and humans, specifically for the role of non-verbal behaviours in supporting safe interaction and linguistic communication. Applicants for the post should have a very good first degree in a computer science, or robotics, or cognitive science discipline. Applicants with a relevant Masters degree would be particularly welcome. Excellent programming skills are an essential requirement to apply. The stipend is for 3 years and the candidate will receive an annual salary starting from ?29000 to ?32500 per annum. This is based on the ETN monthly living allowance, and the mobility and the family allowances. For further information contact Professor Angelo Cangelosi (acangelosi at plymouth.ac.uk), the First Supervisor of the ESR PhD fellowship. Background information on the supervisors? research profiles can be found on Plymouth University website. The following conditions apply: Early-stage researchers shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree. Mobility Rule: at the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation (UK) for more than 12 months in the 3 years immediately prior to the reference date. Compulsory national service and/or short stays such as holidays are not taken into account. As far as international European interest organisations or international organisations are concerned, this rule does not apply to the hosting of eligible researchers. However, the appointed researcher must not have spent more than 12 months in the 3 years immediately prior to their recruitment at the host organisation. Applicants should upload a CV, along with their application and provide 2 referees within their application. This is a full-time position working 37 hours per week on a fixed-term basis for 28 months starting 1 February 2017. The closing date for applications is 12 midnight, Thursday 1 December 2016 See here for more details and online application link: http://www.jobs.ac.uk/job/AVG895/early-stage-researcher-robotics-secure-etn-phd-studentship-cognitive-robotics-and-human-robot-interaction/ ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Mon Nov 7 06:16:55 2016 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 7 Nov 2016 12:16:55 +0100 Subject: Connectionists: Second CFP: special session at ESANN 2017 Message-ID: *Second call for papers: Special Session at ESANN 2017* "Biomedical data analysis in translational research: integration of expert knowledge and interpretable models" *ESANN 2017,* *26-28 April 2017*, *Bruges (Belgium) * 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning *Session organizers* *Gyan Bhanot (Rutgers University, New Jersey, USA)* *Michael Biehl (University of Groningen, The Netherlands)* *Thomas Villmann (Univ. of Applied Sciences Mittweida, Germany)* *Dietlind Z?hlke (Seven Principles, Germany)* New technologies in various fields of biomedical research have led to a dramatic increase of the amount of electronic data that is available. Not only is the number of patients or amount of disease specific data increasing, but so is the structural complexity of the data, in terms of its dimensionality, multi-modality and inhomogeneity. A significant problem, recognized by both the bio-medical and computational community, is the lack of coordination among researchers in these disparate communities. On the one hand, integration of expert knowledge is instrumental for successful data analysis and modelling. On the other hand, methods and models should be transparent and interpretable in order to facilitate fruitful trans-disciplinary collaboration. This special session is meant to attract researchers who develop, investigate, or apply methods of machine learning and statistics in biomedical data analysis, experts from knowledge representation and integration as well as bio-medical researchers with a strong interest in computation and interpretable models. Topics include, but are not restricted to: ? Structured, inhomogeneous and multi-modal biomedical data ? Feature selection and identification of biomarkers ? Interpretable systems for diagnosis and classification ? Generative models of bio-medical processes ? Visual analytics and data mining ? Big data mining for clinical impact *Submission:* Submitted papers will be reviewed according to the ESANN reviewing process and evaluated based on their scientific value: originality, technical correctness, and clarity. For further information, see the conference web pages. *Important dates:* Paper submission deadline : 19 November 2016 Notification of acceptance : 31 January 2017 ESANN conference : 26-28 April 2017 -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Mon Nov 7 21:04:56 2016 From: dengdehao at gmail.com (Teng Teck Hou) Date: Tue, 8 Nov 2016 10:04:56 +0800 Subject: Connectionists: [IJCNN 2017] Paper submission deadline is on Tuesday, November 15, 2359 HR UTC-10 Message-ID: <007501d23964$84ae3d50$8e0ab7f0$@gmail.com> [Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission November 15, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Bj?rn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * P?ter ?rdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################ -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Scharenborg at let.ru.nl Tue Nov 8 03:34:36 2016 From: O.Scharenborg at let.ru.nl (Odette Scharenborg) Date: Tue, 08 Nov 2016 09:34:36 +0100 Subject: Connectionists: Vacancy for 1-year post-doctoral researcher position at Radboud University Nijmegen, The Netherlands Message-ID: FYI. Apologies for cross-posting. ------------------------------------------------------------------------------------- One-year post-doctoral researcher position on Computational modelling of human spoken-word recognition Radboud University, Nijmegen, The Netherlands Maximum salary: ? 4,691 gross/month Application deadline: 20 November 2016 The preferred starting date is 1 January 2017 http://www.ru.nl/werken/details/details_vacature_0/?recid=591541 As a post-doctoral researcher, you will join the NWO-Vidi funded project 'Ignoring the merry in marry: The effect of individual differences in attention and proficiency on non-native spoken-word recognition in noise' headed by Dr Odette Scharenborg. This project investigates the effect of noise on non-native spoken-word recognition using a range of tasks tapping into different processes underlying human spoken-word recognition, and the effect of individual differences in attention and proficiency on non-native spoken-word recognition in noise. You will conduct research on the computational modelling of human spoken-word recognition. Research will focus on determining the best method for the automatic classification of speech segments, building a computational model of non-native human spoken-word recognition using deep neural networks, running simulations and comparing the model?s output with existing human data. You will communicate your findings through papers in peer-reviewed research journals and at international conferences. What we expect from you - you hold a PhD in artificial intelligence, computer science, computational psycholinguistics, or a related discipline; - you have a good knowledge of speech and human and/or automatic speech processing; - you have experience with computational modelling; - you have experience with deep neural networks; - you have a good command of spoken and written English; - you have published multiple journal articles (at least two as a first author); - you are a team player who enjoys working with people from different backgrounds. More information: Odette Scharenborg O.Scharenborg at let.ru.nl http://odettescharenborg.ruhosting.nl The application should consists of: - Motivation letter - CV - List of publications - Names and contact details of two referees From tt at cs.dal.ca Tue Nov 8 08:58:22 2016 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Tue, 8 Nov 2016 09:58:22 -0400 Subject: Connectionists: Canada Faculty Position in Computer Vision or Signal Understanding with Machine Learning Message-ID: Tenure Stream Position for Computer Vision or Signal Understanding with Machine Learning The Faculty of Computer Science (www.cs.dal.ca) at Dalhousie University ( www.dal.ca) invites applications for a tenure stream faculty position with a focus on Machine Learning in Computer Vision or Signal Understanding. The position is at the Assistant or Associate Professor level depending on qualifications. Areas of interest include, but are not limited to, object detection and pattern recognition, image, video, and sound analysis, and the application of Deep Learning or other machine learning approaches to the above. The Faculty of Computer Science at Dalhousie University currently has more than 25 faculty members, 738 undergraduate majors and 254 Master's and doctoral students. It offers Bachelor of Computer Science, Bachelor of Applied Computer Science, Master of Computer Science, Master of Applied Computer Science, and PhD programs. The Faculty also partners with other Faculties in the University to offer the Master of Electronic Commerce, Master of Health Informatics, and Master of Science, Computational Biology and Bioinformatics programs, and is an active participant in the Interdisciplinary PhD program. Dalhousie University is located in Halifax, Nova Scotia ( http://www.halifaxinfo.com), which is the largest city in Atlantic Canada and affords its residents a high quality of life. Dalhousie University is a member of the U15 research-intensive universities in Canada, and the Faculty of Computer Science is a research-intensive faculty within Dalhousie. The Faculty's areas of research concentration can be found at: http://www.dal.ca/faculty/computerscience/research- industry/research_concentrations.html. The Faculty welcomes applications from outstanding candidates in Computer Science. An applicant should have a PhD in Computer Science or related area and be comfortable teaching core computer science courses. Evidence of a strong commitment to and aptitude for research and teaching is essential. The ideal candidate will be open to collaborative research within the Faculty. Applications should include an application letter, curriculum vitae, a statement of research and teaching interests, sample publications, and the names, email addresses and physical addresses of three referees. The application must include the Equity Self-Identification form (see the URL below). All documents are to be submitted to the email address below as PDF files. Applicants should provide their referees with the URL of this advertisement (see below), and request that they forward letters of reference by email to the same address. Applications will be accepted until December 15, 2016. All qualified candidates are encouraged to apply; however Canadians and Permanent Residents will be given priority. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all qualified candidates who would contribute to the diversity of our community. Submission address for application documents and reference letters: cvml-search at cs.dal.ca Location of this advertisement: https://www.dal.ca/content/dam/dalhousie/pdf/faculty/computerscience/temp/position_com puter_vision_search.pdf Dalhousie's Priority Research Areas: http://www.dal.ca/research/about_research_atdal/PriorityResearchAreas.html Self-Identification form: www.dal.ca/becounted/selfid -------------- next part -------------- An HTML attachment was scrubbed... URL: From yael at Princeton.EDU Tue Nov 8 10:31:11 2016 From: yael at Princeton.EDU (Yael Niv) Date: Tue, 8 Nov 2016 15:31:11 +0000 Subject: Connectionists: Graduate studies at the Princeton Neuroscience Institute - Early deadline this year! In-Reply-To: <5B9E8D93-0F21-41F4-ABAB-639B5A13053B@princeton.edu> References: <5B9E8D93-0F21-41F4-ABAB-639B5A13053B@princeton.edu> Message-ID: <922C9368-2A38-40BD-8C29-1996F3AA5730@princeton.edu> The Graduate Program in Neuroscience at Princeton University offers a unique and intensive program of study spanning molecular, cellular, systems and cognitive neuroscience, followed by advanced research in a world-class Princeton laboratory. We seek highly motivated and creative students in our efforts to understand the brain. A listing of faculty affiliated with the program can be found online at www.princeton.edu/neuroscience, and below. Our doctoral program is flexible and individually-tailored, and we encourage students to pursue research with more than one faculty and across departmental boundaries. Applications for entry in the Fall of 2017 are now being accepted, with a deadline of November 28 (note that this is earlier than usual). For details, including contact information, please visit www.princeton.edu/neuroscience. Michael Berry - Neural computation in the visual system William Bialek - Interface between physics and biology Lisa Boulanger - Neuronal functions of immune molecules Carlos Brody - Quantitative and behavioral neurophysiology Tim Buschman - Neural dynamics of cognitive control Jonathan Cohen - Neural bases of cognitive control Nathaniel Daw - Reward, learning and decision making Lynn Enquist - Neurovirology Liz Gavis - Neural development and mRNA localization in Drosophila Alan Gelperin - Learning, memory and olfaction Asif Ghazanfar - Neurobiology of primate social agents Elizabeth Gould - Neurogenesis and hippocampal function Michael Graziano - Sensorimotor integration Uri Hasson - Temporal scales of neural processing Sabine Kastner - Neural basis for visual attention, comparative primate electrophysiology Andrew Leifer - Whole-brain neural dynamics underlying behavior Carolyn McBride - Molecular and neural basis of behavioral evolution Mala Murthy - Neural mechanisms for acoustic communication Coleen Murphy - Molecular mechanisms of aging Yael Niv - Interaction between learning, decision making, attention and memory Ken Norman - Cognitive neuroscience of learning and memory Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data Sebastian Seung - Structure and function of neural circuits Joshua Shaevits - Neural and behavioral dynamics in simple organisms David Tank - Neural circuit dynamics Jordan Taylor - Motor control and learning Alexander Todorov - Cognitive neuroscience of social cognition and behavior Samuel Wang - Dynamics and learning in neural circuits Ilana Witten - Neural circuits underlying reward -------------- next part -------------- An HTML attachment was scrubbed... URL: From eb-ballester at bournemouth.ac.uk Tue Nov 8 10:38:13 2016 From: eb-ballester at bournemouth.ac.uk (Emili Balaguer-Ballester) Date: Tue, 8 Nov 2016 15:38:13 +0000 Subject: Connectionists: PhD position in Computational Neuroscience: Metastable Cortical Dynamics Underlying Cognition (Bournemouth University-IDIBAPS Barcelona) Message-ID: <0a7e2d98ad584042bd53a72a9e368f04@Tremail.bournemouth.ac.uk> PhD position in Computational Neuroscience: Metastable Cortical Dynamics Underlying Cognition (Bournemouth University-IDIBAPS Barcelona) A PhD position is available in the 3-years fully-funded project 'Metastable Cortical Dynamics Underlying Cognition'; based at Bournemouth University (UK) https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-research/ and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for discerning neuronal dynamics underlying cognition? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, it is a major challenge for current theoretical approaches. The aim of this project is to provide new theoretical ideas which enables us to discern metastable dynamics in high cognitive areas; this is important for deciding among competing models of cognitive decisions and would be a significant advance in computational and systems neuroscience. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a computational neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-research/ and at the cortical networks lab; embedded in the systems neuroscience network in Barcelona http://www.sanchez-vives.org/. Applicants with enthusiasm for developing new theories and a strong mathematical background are very welcome. Qualifications in either Physics, Computer Science, Engineering, Mathematics or in any similar degree would be very advantageous; as well as previous knowledge or interest in neuroscience, or lab experience. The researcher would be based at the Faculty of Science, Bournemouth University, working closely with Dr Balaguer-Ballester at the Computational Neuroscience laboratory in the context of the interdisciplinary group for neurosciences; and would spend prolonged periods of time in the Cortical Networks Lab (IDIBAPS, Barcelona) led by Prof Maria Victoria Sanchez-Vives. Thus, this position provides a good opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For applying and more information please visit https://www1.bournemouth.ac.uk/study/courses/phd-studentship-metastable-cortical-dynamics-underlying-cognition The deadline is on the 28th of November, 2016 For further questions, please contact: eb-ballester at bournemouth.ac.uk: Twitter: @emilibalball BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From trentin at dii.unisi.it Tue Nov 8 16:57:21 2016 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Tue, 8 Nov 2016 22:57:21 +0100 Subject: Connectionists: Neural Processing Letters: 2nd CFP for the Special Issue on "Off the mainstream: advances in neural networks and machine learning for pattern recognition" Message-ID: <26506197c8107b38e606a364e1a8f00c.squirrel@altair.diism.unisi.it> 2nd Call for Papers Special issue on Off the mainstream: advances in neural networks and machine learning for pattern recognition to be published in Neural Processing Letters *** Submission deadline: January 31, 2017 *** Guest editors: Edmondo Trentin, University of Siena, Italy (trentin at dii.unisi.it) Friedhelm Schwenker, University of Ulm, Germany (friedhelm.schwenker at uni-ulm.de) Nemat El Gayar, Cairo University, Egypt (elgayar.neamat at gmail.com) Hazem M. Abbas, Ain Shams University, Egypt (hazem.abbas at eng.asu.edu.eg) Aims and scope of the special issue: "Mainstream science is about publishing what everyone else is publishing with very small changes. You'd better at least start off that way if you want to get tenure," the sociologist Rodney Stark said. But "big ideas don't come to those who avoid risk", as John Bohannon added. The area of artificial neural networks (ANN) and machine learning (ML) makes no exception to these ends: Mainstream topics, originally stemming from exciting breakthroughs (the "big ideas") that gradually become trends and end-up being mostly over-beaten publishing tracks, have characterized the scientific literature throughout the whole history of these research fields. A few, widely known instances of such (more or less recent) mainstream trends are: - Supervised support vector machine training (in both primal and dual) - Supervised multilayer perceptron training via regular backpropagation - Radial basis functions networks - Bayesian networks (either shallow or deep) - Deep feed-forward and convolutional neural networks - Countless applications of the aforementioned machineries - The ?approximation capabilities? of such machineries Based on these premises, this special issue invites paper submissions on real novel research developments in the areas of neural networks and learning machines that (1) are rooted in (or, aimed at) pattern recognition (PR), and that, above all, (2) do not follow in the footsteps of nowadays established trends. Preference (over applications, theoretical analysis, and variants of established techniques) will thus be given to submissions that hand out fresh and innovative ideas/architectures/algorithms, even if they are in their infancy (e.g., possibly lacking of a complete investigation of their theoretical properties). A detailed list of topics of interest would contradict the very perspective of the present special issue. Nonetheless, some general, topical research directions are (to name a few): - New ANN or ML architectures - New ANN, ML, or PR algorithms - New estimation/optimization/assessment techniques for ANNs, ML, or PR - New and sound combination/hybridization of machines - Solutions to new, relevant PR-related problems - New and sound solutions to established PR-related problems If you are not sure on whether your manuscripts matches the aims and scope of this special issue or not, do not hesitate to get in touch with the guest editors at any time. The special issue will comprise (a) papers submitted in response to this call, and (b) extended versions of selected papers from the ANNPR 2016 Workshop (https://neuro.informatik.uni-ulm.de/ANNPR2016/), sponsored by the International Association for Pattern Recognition. Paper submission: Papers must be submitted online via the Neural Processing Letters website (https://www.editorialmanager.com/nepl/default.aspx), selecting the choice that indicates this special issue (identifier: S.I.:Off_mainstream). Prepare your paper following the Journal guidelines for Authors (http://www.springer.com/computer/ai/journal/11063?detailsPage=pltci_1060677). All submitted papers will undergo a regular peer-review process. Important dates: Opening of electronic submission: September 1, 2016 Submission deadline: January 31, 2017 Completion of 1st round of review process: March 31, 2017 Re-submission of revised manuscripts: May 15, 2017 Final decision: June 30, 2017 Tentative publication of the Special Issue: Fall 2017 ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin -------------- next part -------------- A non-text attachment was scrubbed... Name: 2nd-Open-SI-CfP.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 8383 bytes Desc: not available URL: From bressler at fau.edu Tue Nov 8 22:32:02 2016 From: bressler at fau.edu (Steven Bressler) Date: Wed, 9 Nov 2016 03:32:02 +0000 Subject: Connectionists: Tenure-Track Faculty Position Message-ID: Tenure-Track Faculty Position PhD Program in Complex Systems and Brain Sciences Florida Atlantic University The Center for Complex Systems and Brain Sciences at Florida Atlantic University invites applications for a tenure-track faculty position at the Assistant or Associate Professor level in its nationally and internationally recognized PhD Program in Complex Systems and Brain Sciences. Candidates will have the opportunity to work in the Center's explicitly transdisciplinary setting that promotes interaction among Center faculty, postdoctoral fellows, and students. Faculty members include cognitive, systems, social and behavioral neuroscientists, theoretical physicists, and computational cognitive scientists. Research programs utilize human, animal, and computational models. The position's research area is open, but the ideal candidate will have a strong quantitative and data analytic background in computational or theoretical systems neuroscience. Preference will be given to research programs focused on complex systems in the brain and behavioral sciences. Applicants are expected to have a Ph.D. in Neuroscience, Psychology, Physics, Applied Math, or a related discipline, an excellent record of research productivity, the potential to develop an independent and internationally recognized research program, and strong commitment to undergraduate and graduate education in the application of complex systems theory to the brain sciences. The position is open until filled and may close without prior notice. Applications received by November 20, 2016 will receive full consideration. All applicants must apply electronically to the currently posted position (991202) on the Office of Human Resources' job website (https://jobs.fau.edu) by completing the Faculty, Administrative, Managerial & Professional Position Application and submitting the related documents. The site permits the attachment of required/requested documentation. In addition to completing the online application, please upload the following: curriculum vitae, copies of official transcripts scanned into an electronic format, statement of research interests and teaching philosophy, and letters from three references. All application materials, including confidential letters, must be submitted electronically at https://jobs.fau.edu. Degrees from outside the United States must be validated by an organization belonging to the National Association of Credential Evaluation Service (NACES), with an indication of the documents the evaluation was prepared from (official transcripts, diplomas, dissertation abstracts). The evaluation should be scanned and electronically attached to one's application as with other US-based transcripts. Prior to appointment, candidates must submit official, sealed transcripts from all institutions where graduate coursework was attempted, whether or not a degree was obtained, as well as an original NACES evaluation, if applicable. Transcripts must be issued to Florida Atlantic University not to you as the student. A background check will be required for any selected candidate. The position is subject to funding. Florida Atlantic University is an Equal Opportunity/Equal Access Institution. Individuals with disabilities requiring accommodation, please call 561-297-3057. TTY/TDD 1-800-955-8771. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Wed Nov 9 04:36:22 2016 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Wed, 9 Nov 2016 09:36:22 +0000 Subject: Connectionists: CfP: SPARS 2017 - Lisbon, Portugal - June 5-8, 2017 - Submissions: Dec 12, 2016 Message-ID: Dear Connectionists, Please forward this call to any colleagues to may be interested. Apologies for cross-posting. Best wishes, Mark Plumbley ============================================================================== ------------------------------------------ SPARS 2017 Signal Processing with Adaptive Sparse Structured Representations Lisbon, Portugal - June 5-8, 2017 Submission deadline: December 12, 2016 http://spars2017.lx.it.pt/ ------------------------------------------ CALL FOR PAPERS The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop aims to bring together people from statistics, engineering, mathematics, and computer science, fostering the exchange and dissemination of new ideas and results, both applied and theoretical, on the general area of sparsity-related techniques and computational methods, for high dimensional data analysis, signal processing, and related applications. Contributions (talks and demos) are solicited as one-page abstracts, which may extend to a second page in order to include figures, tables and references. Talks should present recent and novel research results. We welcome abstract submissions for technological demonstrations of the mathematical topics within our scope. Topics of interest include (but are not limited to): * Sparse coding and representations, and dictionary learning * Sparse and low-rank approximation algorithms * Compressive sensing and learning * Dimensionality reduction and feature extraction * Sparsity in approximation theory, information theory, and statistics * Low-complexity/low-dimensional regularization * Statistical/Bayesian models and algorithms for sparsity * Sparse network theory and analysis * Sparsity and low-rank regularization * Applications PLENARY SPEAKERS: * Yoram Bresler, University of Illinois, USA * Volkan Cevher, ?cole Polytechnique F?d?rale de Lausanne, Switzerland * Jalal Fadili, ?cole Nationale Sup?rieure d'Ing?nieurs de Caen, France * Anders Hansen, University of Cambridge, UK * Gitta Kutyniok, Technische Universit?t Berlin, Germany * Philip Schniter, Ohio State University, USA * Eero Simoncelli, Howard Hughes Medical Institute, NYU, USA * Rebecca Willett, University of Wisconsin, USA VENUE: SPARS 2017 will be held at Instituto Superior T?cnico (IST), the engineering school of the University of Lisbon, Portugal. IMPORTANT DATES: * Submission deadline: December 12, 2016 * Notification of acceptance: March 27, 2017 * Summer School: May 31-June 2, 2017 (tbc) * Workshop: June 5-8, 2017 CHAIRS: Mario A. T. Figueiredo, Instituto Superior T?cnico Mark Plumbley, University of Surrey FURTHER INFORMATION: http://spars2017.lx.it.pt/ ============================================================================== -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From robert.jenssen at uit.no Wed Nov 9 05:27:11 2016 From: robert.jenssen at uit.no (Robert Jenssen) Date: Wed, 9 Nov 2016 10:27:11 +0000 Subject: Connectionists: =?iso-8859-1?q?CfP=3A_Scandinavian_Conference_on_?= =?iso-8859-1?q?Image_Analysis_=28SCIA=29=2C_Troms=F8_=28=22north_pole=22?= =?iso-8859-1?q?=29=2C_Norway=2C_12-14_June_2017?= In-Reply-To: <1456127094090.11792@uit.no> References: <1447920382605.62932@uit.no>,<1456127094090.11792@uit.no> Message-ID: <1478687226366.48355@uit.no> The 20th conference in the long tradition of Scandinavian Conferences on Image Analysis will take place in Troms?, Norway on June 12-14, 2017. For more information, please visit: http://scia2017.org/ Being 350 km north of the arctic circle, Troms? is the northernmost city in the world with a population above 75,000. From 20 May to 20 July the midnight sun shines, which makes it possible to participate in various activities around the clock. In general Troms? has a mild climate for such a northerly destination because of its seaside location and the warming effect of the Gulf stream. Troms? is easily accessible from other Norwegian cities and from abroad. For more information, visit Troms? website: https://www.visittromso.no/en SCIA 2017, the Scandinavian Conference on Image Analysis, is a biennial and international scientific conference organized by the national pattern recognition societies in the Nordic countries (Denmark, Finland, Norway and Sweden). The conference series was established by pattern recognition, image analysis and computer vision pioneers in the universities of the Nordic countries. SCIA is a well known international conference acknowledged by the researchers in the fields of computer vision, image analysis, pattern recognition, and multimedia. The conference invites paper submissions presenting work within the following topics: * 3D vision * Color and multispectral image analysis * Computational imaging and graphics * Faces and gestures * Feature extraction and segmentation * Human-centered computing * Matching, registration and alignment * Medical and biomedical image analysis * Motion analysis * Object and scene recognition * Machine learning and pattern recognition * Remote sensing image analysis * Robot vision * Video and multimedia analysis * IR image processing * Deep convolutional neural networks * Signal processing and applications Dates * Deadline for paper submission: 9 January 2017 * Acceptance notification to authors: 22 March 2017 * Camera ready: 4 April 2017 * Registration for paper presenters: 4 April 2017 * Conference: 12-14 June 2017 For more please contact General Chair: Robert Jenssen, UiT Machine Learning Group (robert.jenssen at uit.no) Program Chairs: Puneet Sharma (puneet.sharma at uit.no) and Filippo M. Bianchi (filippo.m.bianchi at uit.no), UiT - The Arctic University of Norway ? --- Robert Jenssen Machine Learning Group http://site.uit.no/ml Department of Physics and Technology University of Tromso (UiT) - The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Wed Nov 9 21:53:28 2016 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Wed, 9 Nov 2016 21:53:28 -0500 (EST) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <201611100253.uAA2rSw13938@calaf.cns.nyu.edu> New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] * AndrC) A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of memory (starting June 2017). * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neuroscience-physiology-school-medicine] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/dynamic/research/areas/] * Davi Geiger - Computational vision and learning. * Yann LeCun - machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. From felix.putze at uni-bremen.de Wed Nov 9 15:27:08 2016 From: felix.putze at uni-bremen.de (Felix Putze) Date: Wed, 9 Nov 2016 21:27:08 +0100 Subject: Connectionists: Frontiers Research Topic "Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures" Message-ID: *** Frontiers research topic - Call for Contributions *** http://journal.frontiersin.org/researchtopic/5042/detection-and-estimation-of-working-memory-states-and-cognitive-functions-based-on-neurophysiologica We would like to invite contributions to the following research topic in Frontiers of Human Neuroscience: "Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures" The objective of the research topic is to publish a focused collection of open-access articles that represent the state of the art in detection and estimation of working memory and other cognitive functions based on neurophysiological signal classification or analysis and aimed at the application of such classified states in human-computer interaction. We specifically invite contributions that deal with the detection of cognitive states in complex scenarios as they are found in real world applications. Please refer to http://tinyurl.com/detectWM for more details and submission guidelines. * Please let us know if you are interested to contribute by replying to felix.putze at uni-bremen.de * Relevant Dates: 31 January 2017 - Abstract (strongly recommended, but not mandatory) 30 April 2017 - Manuscript * Research Topic Editors: Felix Putze (University of Bremen, Germany) Fabien Lotte (INRIA (National Institute for Computer Science and Control), Talence, France) Christian M?hl (German Aerospace Center, Cologne, Germany) Stephen Fairclough (John Moores University, Liverpool, United Kingdom) * Topics of Interest: In this research topic, we are looking for: (1) studies in complex, realistic scenarios that specifically deal with cognitive states or cognitive processes (memory-related or other), (2) classification and estimation of cognitive states and processes like working memory activity, and (3) applications to Brain-Computer Interfaces and Human-Computer Interaction in general. Central open research questions which we would like to see approached in this research topic comprise: * How can working memory load be quantified with regression or classification models which are robust to perturbations common to realistic recording conditions and natural brain signal fluctuations? * How can detection and classification of cognitive states be used in Brain-Computer Interfaces (BCIs)? * How can multiple types of features or signal types be combined to achieve a more robust classification of working memory load? * How can working memory activity be differentiated from other types of cognitive or affective activity which co-vary with, but are not related to memory? * How well can insights from offline, average-analysis studies on memory activity be transferred to online, single-trial BCIs? * How can models of working memory load be calibrated to account for individual differences, for example in working memory capacity? * How can approaches from computational cognitive modeling be combined with physiological signals to assess memory processes? * How can working memory load be classified, for example according to modality (spatial memory, semantic memory, ...) or type of activity (encoding, retrieval, rehearsal, ...)? * How to design user-independent memory load estimators? Is that even feasible? * How can memory load estimators from a given context or modality be transferred to another modality and/or context? * How can working memory activity be classified to predict the outcome of the activity, for example by differentiating successful from failed encoding attempts? Additionally, we are also interested in other relevant submissions related to the research topic. We also sincerely invite manuscripts dealing with applications of memory-related interfaces (e.g. adaptive human-computer interfaces for memory-intensive tasks). Comprehensive review articles which critically reflect the state-of-the-art on a certain aspect of the topic are also welcome. -- Dr.-Ing. Felix Putze E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen -------------- next part -------------- An HTML attachment was scrubbed... URL: From matthias.treder at gmail.com Wed Nov 9 12:08:07 2016 From: matthias.treder at gmail.com (Matthias Treder) Date: Wed, 9 Nov 2016 17:08:07 +0000 Subject: Connectionists: Large Dataset on Healthy Ageing Available Message-ID: The Cambridge Centre for Ageing and Neuroscience (Cam-CAN; www.cam-can.org) is pleased to announce the release of raw data from the first wave of Phase II of the Cam-CAN cohort. These data include MRI, MEG and cognitive data from approximately 650 males and females uniformly distributed from 18 to 88 years of age. The sample is unique in its population-representativeness (e.g, relative to national census data) and the depth and breadth of neuroimaging and cognitive assessment. The MRI data (in NIFTI and BIDS format) include T1-weighted, T2-weighted and Diffusion-weighted 3T MRI images, plus 3 runs of BOLD-weighted images during 1) rest, 2) movie-watching and 3) an event-related sensorimotor task (with combined visual and auditory stimuli cueing a motor response); the MEG data (in FIF format) include 3 runs of 1) rest, 2) the same sensorimotor task as the fMRI and 3) a passive sensory task (with separate visual and auditory stimuli); the behavioural data include scores on tasks assessing a range of cognitive domains, such as fluid intelligence, memory, language, among others. For more information about the CamCAN project and data, see: Shafto et al. (2014). The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing. BMC Neurology, 14(204). doi:10.1186/s12883-014-0204-1. Taylor et al. (2015). The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. NeuroImage. 10.1016/j.neuroimage.2015.09.018. We hope to release more data (e.g, MT-weighted and preprocessed MRI/MEG data) in future. The data are provided freely after agreeing to minimal conditions, via this page: https://camcan-archive.mrc- cbu.cam.ac.uk/dataaccess/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ingo.willuhn at gmail.com Wed Nov 9 13:12:25 2016 From: ingo.willuhn at gmail.com (Ingo W) Date: Wed, 9 Nov 2016 19:12:25 +0100 Subject: Connectionists: Postdoc in Amsterdam - http://herseninstituut.nl/en/about-us/vacancies/postdoctoral-researcher/ Message-ID: Hi there, A postdoctoral position in the Willuhn/Denys lab at the Netherlands Institute for Neuroscience (NIN) in Amsterdam is available immediately. I am looking for somebody that comes from a computational angle and is analysis-savvy. The candidate should be interested in studying cortico-basal ganglia function (reward learning; behavioral flexibility; compulsivity due to dysfunction) with cutting-edge tools in behaving rats. Our team has a lot to offer and can teach the neuro-related skills to candidates inexperienced in that area: The pre-clinical group headed by Ingo Willuhn studies both the neurobiology of compulsive behavior and basic behavioral functions contributing to automation of behavior ( http://herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/). The team has close ties to clinical researchers studying such behaviors at the Department of Psychiatry of the Academic Medical Center (AMC; chaired by Damiaan Denys), providing optimal conditions for a translational, multidisciplinary approach. Current research in the lab includes rodent models of obsessive-compulsive disorder and drug addiction, but also aims at understanding basic behavioral function of cortico-basal ganglia circuits. Behavioral assays testing cognitive flexibility, emotion, and decision making in mice and rats are combined with simultaneous methods for neurostimulation (DBS, optogenetics, pharmacogenetics), neurochemical measurements (microdialysis, fast-scan cyclic voltammetry), electrophysiological recordings (single units, local field potentials), and fMRI. The latest addition to this tool set is in vivo calcium imaging in freely-moving animals. The primary focus of the successful applicant will be to investigate neurobiological signals in the basal ganglia during operant behavior using in vivo fast-scan cyclic voltammetry and in vivo calcium imaging in freely-behaving transgenic rats. The goal of these studies is to better characterize neuronal mechanisms of cognitive flexibility and habit formation, and eventually compulsive behavior. The ideal candidate has a strong background in the analysis and modeling of complex data and is an expert in using Matlab and/or similar software packages (necessary). Experience in neuroeconomics, calcium imaging, and rodent behavioral testing in neuroscience is desirable, but not necessary. Candidates should be enthusiastic, have excellent oral and written communication skills in English, and should be motivated to integrate well into a fun, creative, and collaborative team of international scientists that offers opportunities to cooperate with some of the best groups in the field worldwide. The fully funded position is for a period of four years (1 + 3 years), including competitive salary and excellent benefits. Highly motivated candidates are encouraged to contact Ingo Willuhn (i.willuhn at nin.knaw.nl). Your email should contain a CV, brief descriptions of past research experience, future research goals, and contact info for at least two people that could provide letters of reference. The Netherlands Institute for Neuroscience (NIN) is a not-for-profit subsidiary of the prestigious Royal Netherlands Academy of Arts and Sciences (KNAW), located in the South of beautiful Amsterdam, just a short train ride from the inner city. The institute?s operating language is English, as it is for many Amsterdam organizations. The NIN collaborates with the AMC Department of Psychiatry, part of the University of Amsterdam, conducting neurobiological and patient-centered research on compulsivity, anxiety, depression, psychosis, and addiction. The department aims at developing a better understanding of neuropsychopathology and at improving treatment options. Looking forward to your responses! Best, Ingo ----- Ingo Willuhn, PhD Group Leader & Associate Professor Team 'Neuromodulation and Behavior' Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW) & Department of Psychiatry, Academic Medical Center (AMC), University of Amsterdam (UvA) Meibergdreef 47 1105BA Amsterdam The Netherlands i.willuhn at nin.knaw.nl tel (31) 20 5665491 www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/ www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Research.htm?p=4745# -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Willuhn AMC-NIN job ad 2016 for Connectionists2.pdf Type: application/pdf Size: 167305 bytes Desc: not available URL: From baolshausen at berkeley.edu Thu Nov 10 02:51:34 2016 From: baolshausen at berkeley.edu (Bruno Olshausen) Date: Wed, 9 Nov 2016 23:51:34 -0800 Subject: Connectionists: Simons-Berkeley Research Fellowship - Call for Applications Message-ID: <9269D0C7-3282-4612-9D8F-C0FF169B8B0D@berkeley.edu> Simons-Berkeley Research Fellowship -- Call for applications In Spring 2018 the Simons Institute for the Theory of Computing will be holding a semester-long program on Brain and Computation, see https://simons.berkeley.edu/programs/brain2018 The Institute invites applications for Simons-Berkeley Research Fellowships in connection this program. Simons-Berkeley Research Fellowships are intended for exceptional young scientists (within at most six years of the award of their PhD at the start of 2017-18 academic year). Applicants who already hold junior faculty or postdoctoral positions are welcome to apply. In particular, applicants who hold, or expect to hold, postdoctoral appointments at other institutions are encouraged to apply to spend one semester as a Simons-Berkeley Fellow subject to the approval of the postdoctoral institution. The Institute expects to award about 30 Fellowships in 2017-18; the majority of these are for one semester, but several appointments for a full academic year are expected to be made. In each semester of residence each Fellow will normally participate in at least one of the ongoing programs at the Institute. The Simons Institute for the Theory of Computing is a major international venue for collaborative research in theoretical computer science and related fields. The Institute is housed on the UC Berkeley campus, and provides a vibrant and welcoming environment for visiting researchers. In each academic semester the activities of the Institute are largely focused on specific research programs, each of which attracts around sixty long-term participants ranging from senior scientists to graduate students. Salaries and benefits are competitive and assistance with visas and housing will be provided. The Institute particularly encourages applications from women and minority candidates. For more on the Simons Institute and applications instructions for the Simons-Berkeley Research Fellowships, please see https://simons.berkeley.edu/fellows2017 The deadline for receipt of complete application materials (except letters) is December 15, 2016. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute & School of Optometry Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/bruno From srikanth.ramaswamy at epfl.ch Thu Nov 10 07:22:39 2016 From: srikanth.ramaswamy at epfl.ch (Ramaswamy Srikanth) Date: Thu, 10 Nov 2016 12:22:39 +0000 Subject: Connectionists: PhD position in the Blue Brain Project, Ecole Polytechnique Federale de Lausanne (EPFL) Message-ID: <4B8F3B47-EF94-4DC4-9460-EDE72E7BABB3@epfl.ch> ----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Digital Reconstruction of Cholinergic Neuromodulation of Neocortical Microcircuitry Supervisors: Dr. Srikanth Ramaswamy, Prof. Henry Markram Keywords: Neocortex, microcircuits, simulation, neuromodulation, acetylcholine, dendrites, synaptic transmission, network activity Project description: Neuromodulators are chemical messengers - hormones, neuropeptides, and neurotransmitters - that diffusely target neurons and synapses in specific brain regions. Distinct groups of neurons located in subcortical areas release neuromodulators such as acetylcholine (ACh), noradrenaline, serotonin, dopamine, and histamine. These neuromodulators directly control information processing in neocortical microcircuits by modulating shifts between activity states such as sleep and wakefulness, or distraction and attention. Neuromodulators are also directly implicated in a spectrum of debilitating disorders such as migraine, schizophrenia, Alzheimer?s and Parkinson?s disease. Yet, despite their crucial role in physiology and pathology, we lack a detailed understanding of the way they regulate the function of dendrites, synapses, neurons, and network activity in neocortical microcircuitry. The objective of the proposed PhD project will be to devise, implement and study biophysical models of ACh neuromodulation of neocortical microcircuitry. The project will leverage the Blue Brain Project?s data-driven digital reconstruction of neocortical microcircuitry1, 2, and augment it with biophysical models of the anatomy and physiology of ACh neuromodulation of somatosensory cortex. Specifically, the project will implement and constrain cellular and synaptic models of ACh neuromodulation and study its regulation of cortical activity states. The project requires active collaboration with the Laboratory of Neural Microcircuitry (LNMC), EPFL to design neurophysiological experiments in thenrodent somatosensory syetem and integrate relevant data into the digital reconstruction. Significant computing resources on a large high performance computing system will be made available for this project. 1. Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M.* et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495. * Co-first author. 2. Ramaswamy S.*, Courcol J-D.*, Abdellah M., Adaszewski S.R., Antille N. et al. (2015). The Neocortical Microcircuit Collaboration Portal: A Resource for Rat Somatosensory Cortex. Front. Neural Circuits 9:44. *Co-first author. Key collaborators: Dr. Rodrigo Perin (EPFL-LNMC), Ms. Ayah Khubieh (EPFL-LNMC), Dr. Eilif Muller (EPFL-BBP), Dr. Fabien Delalondre (EPFL-BBP), Prof. Felix Sch?rmann (EPFL-BBP), and Prof. Idan Segev (Hebrew University, Jerusalem). This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Srikanth Ramaswamy > ------------- Dr. Srikanth Ramaswamy EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: https://people.epfl.ch/srikanth.ramaswamy -------------- next part -------------- An HTML attachment was scrubbed... URL: From qiyanjun07 at gmail.com Thu Nov 10 09:50:05 2016 From: qiyanjun07 at gmail.com (Yanjun Qi (gmail personal)) Date: Thu, 10 Nov 2016 09:50:05 -0500 Subject: Connectionists: Assistant, Associate or Full Professor (Biomedical Data Science) @ UVA Message-ID: <00cb0a94-4ef1-c980-3812-7ce0f8c1da7c@gmail.com> The University of Virginia (UVA) invites applications for multiple open rank, tenured or tenure-track faculty for an interdisciplinary cluster in biomedical data science. This cluster may include faculty hires in Computer Science in areas such as machine learning and algorithms. A PhD in computer science, engineering, biomedical science, a related field, or MD is required. Rank, tenure status, compensation and joint appointments are dependent upon qualifications and experience. As one of the top universities in the country, UVA has a strong culture of collegiality and is committed to creating collaborative, diverse environments to solve society?s challenges. The University of Virginia is an Equal Opportunity/Affirmative Action Employer. Women, minorities, veterans and persons with disabilities are encouraged to apply. Apply or learn more at: http://jobs.virginia.edu and search for Posting 0619706. Review of applications will begin on January 1, 2017 and will continue until the positions are filled. From malin.sandstrom at incf.org Thu Nov 10 14:56:23 2016 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Thu, 10 Nov 2016 20:56:23 +0100 Subject: Connectionists: Computational neuroscience, neuroinformatics and seed funding with INCF in booth #4112 at Neuroscience 2016 Message-ID: Dear all, if you are attending Neuroscience 2016 in San Diego, please consider visiting INCF in booth #4112. We host *community demos* of computational neuroscience and neuroinformatics tools Sunday-Tuesday (see schedule below). We also have a comfortable sofa and a few chairs, which you are welcome to use for impromptu meetings, and while you visit you can find out more about our new *seed funding* program. On Monday Nov 14 we have an INCF US Node *social* at 8pm at the Tipsy Crow a few blocks away from the convention center. This SfN also marks the pilot release of *KnowledgeSpace* ( https://knowledge-space.org/index.html), a community encyclopedia developed by us, NIF, BBP and HBP. It is an open project and we welcome participation and contributions from members of the global research community. It will be demoed in the NIF booth (#4115) just across the aisle from INCF. Since this year is our tenth consecutive year as exhibitors we also have a special commemorative t-shirt for our booth visitors. More info: https://www.incf.org/news/incf-at-sfn-2016 Welcome! --------------- *Community tool demos with INCF in booth #4112* SUNDAY NOV 13 9:30-11:15 NeuroExpresso and NeuroElectro: cell-type specific databases for gene expression and neuron electrophysiology (S. Tripathy, O. Mancarci, L. Toker, P. Pavlidis) 11:15-13:00 Spatial integration of vectorial and associated image data (P. Varsanyi, P. Gombkoto, J. Reep and L. Zaborszky) 13:30-15:15 OpenWorm: Pivoting open science from infrastructure to discovery (S. Larson) 15:15-17:00 NeuronUnit: data-driven model validation for computational neuroscience (R. C. Gerkin, J. Birgiolas, R. Jarvis, K. Dai, S. Crook) MONDAY NOV 14 9:30-11:15 Discovering neuronal interactions, models and properties by browsing microcircuits in multiple spatial scales (L. N. Marenco, R. Wang, R. A. McDougal, F. Cavarretta, M. Surles-Zeigler, T. M. Morse, M. Migliore, N. T. Carnevale, M. L. Hines, P. Miller, G. M. Shepherd) 11:15-13:00 Hands-on interactive live demos of NeuroMorpho.Org and Hippocampome.org (R. Armananzas, G. A. Ascoli, D. W. Wheeler) 13:30-15:15 Construction of the Marmoset Brain Map in Brain/MINDS (Brain/MINDS Database Council, RIKEN BSI) 15:15-17:00 J-Node Neuroinformatics Platforms: I Translational medicine and recent innovations, II Mouse Phenotype Database (S. Kakei, K. Takao, Y. Morii) TUESDAY NOV 15 9:30-11:15 The Virtual Brain PSE: Advances in Parameter Exploration Viewer for full human brain simulations (D. Bayly, L. Domide) 11:15-13:00 Neuronify: An educational app for simulation of neural circuits (S.A. Dragly, M. Hobbi Mobarhan, A. V. Solbr?, S. Tenn?e, H. P. Langtangen, A. Malthe-S?renssen, M. Fyhn, T. Hafting, G. T. Einevoll) 13:30-15:15 Data management and data sharing made easy - tools and infrastructure (C. Kellner, A. Stoewer, M. Sonntag, A. Koutsou, A. Sobolev, C. Garbers, J. Grewe, T. Wachtler) 15:15-17:00 Waxholm Space (J. Gee) -- 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aestuary at gmail.com Thu Nov 10 21:30:57 2016 From: aestuary at gmail.com (Charley C) Date: Thu, 10 Nov 2016 21:30:57 -0500 Subject: Connectionists: ACL 2017 - First Call for Papers Message-ID: The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017) CALL FOR PAPERS Call for Papers: ACL 2017 The 55th Annual Meeting of the Association for Computational Linguistics Vancouver, Canada July 30-August 4, 2017 http://acl2017.org The Association for Computational Linguistics is pleased to announce that its 55th annual meeting will take place in Vancouver, Canada, July 30-August 4, 2017. The conference invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of automated language processing. As in recent years, some of the presentations at the conference will be of papers accepted for the Transactions of the ACL journal (http://www.transacl.org/). ACL 2017 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): Cognitive modeling and psycholinguistics Dialog and interactive systems Discourse and pragmatics Document analysis including text categorization, topic models, and retrieval Generation Information extraction, text mining, and question answering Machine learning Machine translation Multilinguality Phonology, morphology, and word segmentation Resources and evaluation Semantics Sentiment analysis and opinion mining Social media Speech Summarization Tagging, chunking, syntax, and parsing Vision, robots, and other grounding Dates Research Papers (both long and short) Note that both long and short papers are due on the same date. Deadline for short paper submission: Monday, February 6, 2017 Author Response Period Monday, March 13 -- Wednesday, March 15, 2017 Notification of acceptance: Thursday, March 30, 2017 Camera ready submission due: April 15, 2017 Tutorials Deadline for tutorial proposals submission: November 30, 2016 Notification of acceptance: December 30, 2016 Tutorial descriptions due: January 30, 2017 Tutorial course material due: June 30, 2017 Tutorials to be presented on: July 30, 2017 All deadlines are 11:59PM Pacific Time. Submissions Long Papers Long ACL 2017 submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Review forms will be made available prior to the deadlines. Long papers may consist of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. Short Papers ACL 2017 also solicits short papers. Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - A negative result - An opinion piece - An interesting application nugget Short papers may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. General Notes Papers should not refer, for further detail, to documents that are not available to the reviewers. Papers may be accompanied by a resource (software and/or data) described in the paper. Papers that are submitted with accompanying software/data may receive additional credit toward the overall evaluation score, and the potential impact of the software and data will be taken into account when making the acceptance/rejection decisions. ACL 2017 also encourages the submission of supplementary material to report preprocessing decisions, model parameters, and other details necessary for the replication of the experiments reported in the paper. Seemingly small preprocessing decisions can sometimes make a large difference in performance, so it is crucial to record such decisions to precisely characterize state-of-the-art methods. Nonetheless, supplementary material should be supplementary (rather than central) to the paper. It may include explanations or details of proofs or derivations that do not fit into the paper, lists of features or feature templates, sample inputs and outputs for a system, pseudo-code or source code, and data. The paper should not rely on the supplementary material: while the paper may refer to and cite the supplementary material and the supplementary material will be available to reviewers, they will not be asked to review or even download the supplementary material. Authors should refer to the contents of the supplementary material in the paper submission, so that reviewers interested in these supplementary details will know where to look. As the reviewing will be blind, papers must not include authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ..." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ..." Papers that do not conform to these requirements will be rejected without review. Electronic Submission Submission is electronic, using the Softconf START conference management system at https://www.softconf.com/acl2017/papers for long papers https://www.softconf.com/acl2017/shortpapers for short papers. Long paper submissions must follow the two-column format of ACL 2017 proceedings without exceeding eight (8) pages of content. References do not count against this limit. Short paper submissions must also follow the two-column format of ACL 2017 proceedings, and must not exceed four (4) pages. We strongly recommend the use of ACL LaTeX style files tailored for this year's conference. Submissions must conform to the official style guidelines, which are contained in the style files, and they must be in PDF. Style files and other information about paper formatting requirements will be made available on the conference website, http://acl2017.org Multiple Submission Policy Papers that have been or will be submitted to other meetings or publications must indicate this at submission time, and must be withdrawn from the other venues if accepted by ACL 2017. Authors of papers accepted for presentation at ACL 2017 must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Preprint servers such as arXiv.org and workshops that do not have published proceedings are not considered archival for purposes of submission. Authors must state in the online submission form the name of the workshop or preprint server and title of the non-archival version. The version submitted for review should be suitably anonymized and not contain references to the prior non-archival version. Reviewers will be told: "The author(s) have notified us that there exists a non-archival previous version of this paper with significantly overlapping text. We have approved submission under these circumstances, but to preserve the spirit of blind review, the current submission does not reference the non-archival version." Reviewers are free to do what they like with this information. Authors submitting more than one paper to ACL 2017 must ensure that submissions do not overlap significantly (>25%) with each other in content or results. Presentation Requirement All accepted papers must be presented at the conference to appear in the proceedings. At least one author of each accepted paper must register for ACL 2017 by the early registration deadline. Contact Information General chair: Chris Callison-Burch (University of Pennsylvania) Program co-chairs: Regina Barzilay (Massachusetts Institute of Technology) and Min-Yen Kan (National University of Singapore) Email: acl17pcchairs at gmail.com For the most up-to-date version of this call for papers, please visit acl2017.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From bremeseiro at udc.es Fri Nov 11 04:07:26 2016 From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=) Date: Fri, 11 Nov 2016 10:07:26 +0100 (CET) Subject: Connectionists: 2nd CFP "Algorithmic Challenges in Big Data Analytics" SS @ ESANN 2017 In-Reply-To: <232713878.20185495.1473507450630.JavaMail.zimbra@udc.es> References: <232713878.20185495.1473507450630.JavaMail.zimbra@udc.es> Message-ID: <990551668.670018.1478855246527.JavaMail.zimbra@udc.es> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Algorithmic Challenges in Big Data Analytics" at ESANN 2017 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017) 26-28 April 2017, Bruges (Belgium) - http://www.esann.org Algorithmic Challenges in Big Data Analytics Organized by: Veronica Bolon-Canedo, Amparo Alonso-Betanzos (University of A Coru?a, Spain), Beatriz Remeseiro (University of Barcelona, Spain), David Martinez-Rego (University College London, UK), Konstantinos Sechidis (University of Manchester, UK) In the past few years, the advent of Big Data has brought unprecedented challenges to machine learning researchers. Dealing with huge volumes of data, both in terms of instances and features, makes the learning task more complex and computationally demanding than ever. Processing these massive datasets is key to providing a wealth of information, but at the same time is a challenge for machine learning researchers, who see how classic algorithms are now useless. The community expects new methods that not only allow accurate analysis of the available data, but which are also robust and scalable when dataset sizes increase. In other words, the challenge now is to find ?good enough? solutions as ?fast? as possible and as ?efficiently? as possible. This issue becomes critical in situations in which there exist temporal or spatial constraints like real-time applications or unapproachable computational problems requiring learning. We invite papers aiming to examine the recent progress in the field, together with new open challenges derived from the increased data availability. In particular, topics of interest include, but are not limited to: * Pre-processing, processing and post-processing of Big Data. * Methods, algorithms and theory for Big Data analytics. * Recent advances and challenges in machine learning for Big Data. * Distributed learning in the context of Big Data. * Deep learning with massive-scale datasets. * Applications: healthcare, social media, bioinformatics, genomics, finance, surveillance, etc. Submitted papers will be reviewed according to the ESANN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. IMPORTANT DATES: Paper submission deadline : 19 November 2016 Notification of acceptance : 31 January 2017 ESANN conference : 26-28 April 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Fri Nov 11 17:37:10 2016 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Fri, 11 Nov 2016 17:37:10 -0500 Subject: Connectionists: Open PhD position in perceptual learning at ENI/DPZ Goettingen, Germany Message-ID: The Neural Circuits and Cognition lab of Caspar Schwiedrzik at the European Neuroscience Institute (ENI) and the German Primate Center (DPZ) in Goettingen, Germany is looking for an outstanding PhD student interested in studying the neural basis of perceptual learning in vision. The project investigates circuit and single cell mechanisms of learning and perception, utilizing functional magnetic resonance imaging in combination with electrophysiology and behavioral testing in humans and non-human primates. Work in the lab focuses on the cortical basis and computational principles of perception and experience-dependent plasticity in the macaque and human brain (see here ). To this end, we use a variety of invasive and noninvasive methods, including fMRI-guided electrophysiological recordings in monkeys and fMRI and ECoG in humans. The PhD student will play a key role in our research efforts in this area. The lab is located at the ENI and the DPZ, which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. The PhD student will have access to a new imaging center with a dedicated 3T research scanner, electrophysiology, and psychophysics setups. The ENI is part of the University Medical Center Goettingen , offering ample opportunity to translate basic research into the clinic. The University Medical Center Goettingen is a tertiary care center. Its 7,400 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching facilities. *Your profile* The position will be available starting in spring 2017 with an initial appointment for 3 years and a salary according to 50% TVL-13. Candidates should have a degree (master, diploma or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and ideally prior experience in electrophysiology and/or fMRI, strong quantitative, programming, and experimental skills, and a desire to understand the neural basis of visual perception and its plasticity. Interested candidates should send their curriculum vitae, a description of their scientific interest and the names and contact information of up to three references who are able to comment on your academic background and who agreed to be contacted to caspar.schwiedrzik at googlemail.com, preferably before December 1st, 2016, but later expressions of interest will be considered until the position is filled. It will also be possible to meet in person at this year?s SfN in San Diego. A good command of English is a requirement, but fluency in German is not essential. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Fri Nov 11 12:46:08 2016 From: eneftci at uci.edu (Emre Neftci) Date: Fri, 11 Nov 2016 17:46:08 +0000 Subject: Connectionists: =?utf-8?q?Postdoctoral_Scholar_=E2=80=93_Sensorim?= =?utf-8?q?otor_Integration_and_Sensorimotor_Learning_for_Speech_Productio?= =?utf-8?q?n?= Message-ID: <1478886368.2758074.784925841.6C79D816@webmail.messagingengine.com> A Postdoctoral Scholar position in the areas of sensorimotor integration and sensorimotor learning for speech production is available in the Auditory & Language Neuroscience Lab (PI Greg Hickok; http://sites.uci.edu/alns/) and the Neuromorphic Machine Intelligence Lab (PI Emre Neftci; http://nmi-lab.org/) in the Department of Cognitive Sciences at the University of California, Irvine. Description of Duties: The research involves developing neurally feasible computational models of speech production that is integrated with and informed by ongoing work on speech production using a wide range of methods including functional imaging, lesion, and intracranial electrocorticography (ECoG) and stimulation mapping. Salary and benefits: This position is full-time and includes benefits. Salary is commensurate with experience. Qualifications: The successful candidate must possess a Ph.D. (by the start of the appointment) in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering, and must have expertise in computational neuroscience and/or machine learning. The position is anticipated to begin in late 2016 or early 2017 for one year with an additional one-year reappointment possible contingent upon satisfactory performance and productivity. We seek a candidate with excellent verbal and written communication skills who is strongly motivated and has substantial computer programming experience ? the labs rely heavily on MATLAB, R, Psyscope/Psychtoolbox and Python. Working knowledge of artificial and spiking neural networks is a plus. Application Procedure: Interested candidates should submit a cover letter (describing their research experiences, interests, and goals,), a CV, and the names and contact information of three references at: https://recruit.ap.uci.edu/apply/JPF03744 For more information about this position, please contact Dr. Greg Hickok (greg.hickok at uci.edu) or Dr. Emre Neftci (eneftci at uci.edu). The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From andrew.coward at anu.edu.au Sat Nov 12 11:25:00 2016 From: andrew.coward at anu.edu.au (Andrew Coward) Date: Sat, 12 Nov 2016 16:25:00 +0000 Subject: Connectionists: Video course on computational understanding of higher cognition in terms of brain anatomy and physiology Message-ID: <4A436685-668C-46C1-AFE1-2B7932B51032@uds.anu.edu.au> A 29 lecture video course on approaches to understanding cognitive processes in terms of brain anatomy and physiology is now available at www.understandinghighercognition.com The lectures are based on a course given to third year and graduate students in computer science, psychology and neuroscience at the Australian National University in Canberra and also at Simon Fraser University in Vancouver, Canada. Topics covered include: - The nature of understanding: lessons from the computer science approach to understanding complex systems - Major cognitive phenomena: attention; different types of memory; speech and consciousness - Key topics in brain anatomy, physiology and chemistry - Practical pressures on brain architecture exerted by natural selection: resource limits, learning without interference with prior learning, etc; - Architectural forms resulting from the practical pressures - Evidence for the existence of the predicted architectural forms in the brain; how to use the forms to support understanding - Understanding attention and different types of memory: semantic, episodic, priming, working and procedural memory - Understanding specific cognitive tasks - Understanding human consciousness and self awareness. Each lecture is divided into 5 - 10 minute topic videos. Lecture format is mainly images and graphics supported by verbal explanations. Textbook for the course is "Towards a Theoretical Neuroscience: from Cell Chemistry to Cognition" published by Springer. Access to the lectures is free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.ritter at psu.edu Sat Nov 12 16:32:37 2016 From: frank.ritter at psu.edu (Frank Ritter) Date: Sat, 12 Nov 2016 16:32:37 -0500 Subject: Connectionists: CogModel notes: ICCM 2017+sp. issues+books+jobs Message-ID: [ if there are folks interesting in reviewing these books, I could get you in touch with the publisher] The ICCM 2017 announcements drive this email (it will be in Warwick, England, 22-25 July 2017 (hope you can come!). A quick note: I have edited many of these because they go on too long. I prefer a short, clear announcement with a short pointer to your own web site with details -- some mailers have problems with the length of this mailing now and the length of URLs. I don't think the use of external sites to host 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 responsibly (see Cheyne & Ritter, 2001). [Hypertext version available at http://acs.ist.psu.edu/iccm2016/iccm-mailing-nov2016 ] **************** Table of Contents **************** CONFERENCES 1. ICCM 2017, Warwick, UK July 2017 submissions due 15 Mar 2017 2. ICCM 2016 Proceedings available http://acs.ist.psu.edu/iccm2016/proceedings/ 3. BICA 2017 and Fierces on BICA 2017, 1-6 Aug 2017 http://bicasociety.org/meetings/ 4. IJCNN 2017 - International Joint Conference on Neural Networks http://www.ijcnn.org, papers due 15 nov 2016 5. CogSIMA 2017 conference http://www.ieee-cogsima.org/ SOFTWARE AND OTHER RESOURCES 6. Obituary for Henry Halff 7. Dynamic Models of Choice software available https://dl.dropboxusercontent.com/u/20467740/DMC.zip SPECIAL ISSUES AND NEW JOURNALS 8. Special issue call: JAGI Issue on AI Models of Motivation and Emotion 9. ACM Transactions on Social Computing, New journal http://www.acm.org/publications/submissions 10. New journal: Ergonomics and Human Factors at Work http://www.tandfonline.com/toc/uehf21/current 11. Seeking Volunteer HCI Editor for Computing Reviews BOOKS 12. Book: The Oxford Handbook of Cognitive Science https://global.oup.com/academic/product/the-oxford-handbook-of-cognitive-science-9780199842193 13. Book: Anatomy of the Mind https://global.oup.com/academic/product/anatomy-of-the-mind-9780199794553 14. Book: Exploring Robotic Minds https://global.oup.com/academic/product/exploring-robotic-minds-9780190281069 JOBS, SENIOR TO JUNIOR 15. Penn State, Human Centered Design + 2 tenure + lecturers https://ist.psu.edu/college/faculty_search#t455n2252 16. Assistant Prof., RPI https://careers.insidehighered.com/job/1265118/ 17. Assistant prof, Cognitive Science, Carleton U., Ottawa, ON 18. U of Maryland Baltimore County Info Sys Dept, due 1 Nov 2016 http://apply.interfolio.com/37306 [this is not part of the UofMd] 19. Tenure track asst prof, Engineering Psychology, New Mexico State https://jobs.nmsu.edu/postings/25985, due 1 Nov 2016 20. Tenure-track assistant/associate in psychology, Mich State http://www.mathpsych.org/index.php?option=com_content&view=article&id=293&Itemid=1 21. Adjunct (concurrent) positions, MEPhI, Moscow 22. Associate Research Scientist, ETS 23. Accessibility Engineer, Educational Testing Service http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=223823 24. NASA Space Technology Res Fellowship (NSTRF17) - Fall 2017 Release Due 3 Nov 2017, recuring 25. Post-doc, Michigan https://lsa.umich.edu/weinberginstitute, due 14 Oct, recurring 26. Postdoc at ARL 27. Postdoctoral Fellow at NRL 28. Graduate student openings, Optimal Learning Lab, U. Memphis http://optimallearning.org **************************************************************** 1. ICCM 2017, July 2017, due 15 Mar 2017 http://acs.ist.psu.edu/iccm2016/iccm-2017-information/ 22-25 July 2017, U. of Warwick submission deadline in February http://www.warwickconferences.com/venues (Scarman) 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/ **************************************************************** 2. ICCM 2016 Proceedings available http://acs.ist.psu.edu/iccm2016/proceedings/ The ICCM 2016 proceedings are available as single papers and as as a single PDF. single papers: http://acs.ist.psu.edu/iccm2016/proceedings all in one: http://acs.ist.psu.edu/iccm2016/proceedings/ICCM2016proceedings.pdf The best papers of ICCM 2016 have been invited for a special issue of Topics in Cognitive Science, which is in process and will be announced later. The Allen Newell Award for the best student-led paper was given to Peter Duggins, Terrence C. Stewart, Xuan Choo, and Chris Eliasmith for their paper titled Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory. We also note, as honorable mention, the papers by Hrvoje Stojic, Henrik Olsson, and Pantelis P. Analytis, by Peter Lindes and John E. Laird, by Dan Parker and Daniel Lantz, and by Ehsan Khosroshahi, Dario Salvucci, Bella Veksler, and Glenn Gunzelmann. **************************************************************** 3. BICA 2017 and Fierces on BICA 2017, 1-6 Aug 2017 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. Details will follow. -Alexei Samsonovich **************************************************************** 4. IJCNN 2017 - International Joint Conference on Neural Networks http://www.ijcnn.org, papers due 15 nov 2016 14-19 May 2017, Anchorage, Alaska Come and join us for the 30th anniversary of IJCNN, the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the Convention Center in Anchorage, Alaska, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." http://www.anchorage.net/plan-your-trip/visitor-guide/ IMPORTANT : Submission deadlines are much earlier this year, given the May conference date. Check the list of deadlines below, and note that proposals for Special Sessions, Competitions, and Panel Sessions are due September 15, 2016! Important Dates: Paper submission deadline: 15 Nov 16 Paper Decision notification: 20 Jan 17 Camera-ready submission: 20 Feb 17 http://www.ijcnn.org/call-for-papers Call for Papers - While a short list of IJCNN topics is provided below, authors should click on our Call for Papers link for a more detailed list of the topics, and a link to guidelines for paper submissions. Plenary Speakers The following high-profile neural network leaders have been confirmed as Plenary Speakers, with more to come! Christof Koch - Prof of Biology and Engineering at the Cal Tech. President and Chief Scientific Officer of the Allen Institute for Brain Science, Seattle. Hava Seigelmann - Core Member of the Neuroscience and Behavior Program at U of Massachusetts, Amherst, DARPA program manager, and 2016 INNS Hebb Award recipient. Jose Principe - BellSouth Prof, Director of Computational NeuroEngineering Laboratory, U of Florida. Jose is a Past-President of the INNS, and a recipient of INNS and IEEE-CIS awards. General topic categories are listed below. See the Call for Papers web-page for a more detailed listing: http://www.ijcnn.org/call-for-papers Deep Learning Computational neuroscience Cognitive models Brain-machine interfaces Embodied robotics Evolutionary neural systems Neurodynamics Neuroinformatics Neuroengineering Connectomics Big Data Neural network theory & models Pattern recognition Machine Learning Collective intelligence Hybrid systems Self-aware systems Data mining Sensor networks Hardware, memristors Agent-based systems Neural network applications Machine perception Social media Computational biology Bioinformatics Artificial life Philosophical issues We are looking forward to seeing you in Alaska! Yoonsuck Choe, General Chair Texas A & M **************************************************************** 5. CogSIMA 2017 conference http://www.ieee-cogsima.org/ Types of Papers All papers must represent original and unpublished work that is not currently under review elsewhere. Each paper will be reviewed by at least three independent referees. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the conference. At least one author of each accepted paper is required to attend the conference. Two types of paper submissions will be accepted: Oral Papers (3-7 pages): Papers that describe new results that advance the state-of-the-art Poster Papers (3-5 pages): Papers that describe work in progress Quantitative and/or qualitative methods and results are welcome, as well as hypotheses-driven or more open-ended exploratory work. Submissions must clearly outline the methodology (manipulations, measurements, environment and context, etc.) and technologies used, for both replicability and enabling in-depth review. In addition, research providing novel system designs, algorithms, interface technologies, and computational methods supporting elements of situation management are encouraged. Authors are encouraged to consult the guide regarding submissions to IEEE provided at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html General Topic Area -Where Cognitive Science meets Computer Science Papers should address some aspects of Situation Management in Cyber-Physical-Human Systems, where: 1. Cyber-Physical-Human Systems are understood as dynamic systems of systems, where tight integration across cyber, physical and human (social) components creates a new quality in collective behavior of those components that otherwise would be infeasible to carry out by individual components alone. 2. Situation Management is defined as a synergistic goal-directed process of situation awareness (situation sensing, perception, comprehension, and prediction), situation monitoring and control, and situation acquisition and learning so that desired goal situations are reached within predefined quality, resources, and time. 3. Conceptual Foundations of Situation Management include the concepts of entities, relations, situations, events, actions, goals, behaviors, context, space, time, and others. Paper Topics Theories of situation management, cognitive methods, and decision support Studies of concepts of situation, context, event, goal, intention, action, activity, behavior in interactive human-machine systems Situation perception, comprehension, tracking, prediction and management Approaches to spatial and temporal reasoning, reasoning about goals, intentions and actions, and collective reasoning by teams of human and/or machine agents Metrics and evaluation of performance of hybrid human-machine systems Modeling of situations - model acquisition, construction, adaptation and learning Models of human-machine collaboration, hybrid and distributed cognition Systems, platforms and tools for situation awareness and decision support System-level experiments Application-specific research Collaborative decision support Information fusion Situation-dependent data integration Ontology-based computing Special Paper Sessions at CogSIMA 2017 There will be three special paper sessions planned for the conference. 1. The Relationships between Situation Awareness, Big Data, and Deep Learning Chair: Dr. Mica Endsley, SA Technologies Situation awareness (SA) is the perception of environmental elements and events with respect to time or space, the comprehension of their meaning, and the projection of their status after some variable has changed, such as time, or some other variable, such as a predetermined event (Endsley, 1995). Appropriate SA can directly impact the decision-making process. Previously, achieving situation awareness was easier as decisions were driven by smaller amounts of information. However, data is now created at an expositional rate. More data should mean a reduction in uncertainty and more informed decision making processes. However, access to these data sets alone does not guarantee useful information required for situation management. Exploration of processes related to big data and deep learning could help advance the development of appropriate SA. Possible paper topics include: pattern recognition and data fusion sensor data fusion information fusion machine learning modeling situations 2. Cognitive Modeling Chair: Dr. Christian Lebiere, CMU Cognitive models are computational or mathematical representations of the human cognitive processes engaged in perception, cognition and action. Combined with task representations, they provide a quantitative basis for understanding experimental findings in situation awareness and decision making as well as optimizing decision support to the characteristics of the human operator. Possible paper topics include cognitive models of: situation awareness and decision making human interaction with autonomous systems individual differences in situation management human-human and human-agent team interaction model -driven decision-support systems 3. Interaction with Autonomous Systems Chair: Dr. Tom Ziemke, Linkoping U & U of Skovde, Sweden Human interaction with (partially) autonomous systems (ground, air, surface, or subsurface) is changing as teaming efforts continue to move away from direct control to more intelligent, interdependent collaboration, which poses significant challenges for achieving and maintaining an integrated overall situation awareness. The links between the technological advancements and capabilities in the system design, underlying intelligence architecture, and communication/feedback mechanisms need to be identified and established to facilitate appropriate interaction. Possible paper topics include: Theory, principles, paradigms of human-machine interaction Human-machine collaborative teaming (e.g., trust, SA, transparency, etc.) Dynamic systems and network-centric operations Goal prioritization, and decision-making processes in human-machine systems Intent, communication, and feedback mechanisms System design, algorithms, and architectures Artificial intelligence in interactive autonomous systems Interface technologies and control mechanisms Submission Guidelines Submitted papers should clearly indicate on the first page the submission type (oral or poster). The TPC may suggest to the authors to move accepted papers between the oral and poster sessions after consultation with the authors. Authors of accepted papers will need to sign an IEEE copyright release form and present their paper at the conference. All papers must be submitted online via the EDAS/CogSIMA 2017 submission by 23 Nov 2016. Authors should prepare a Portable Document Format (PDF) version of their full paper in 2-column style (main text in 10-point size) including figures and correct margins. Please use the onstyle sheet templates provided by IEEE to assure that your submission is in line with our guidelines. Publication The conference proceedings will be electronically published in IEEE CogSIMA 2017 Conference Proceedings and will be included into the IEEE Explore Digital Library. An author of an accepted paper is required to register for the conference at the full (member or non-member) rate and the paper must be presented by an author of that paper at the conference unless the TPC grants permission for a substitute presenter arranged in advance of the event and who is qualified both to present and answer questions. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one full registration is valid for up to 3 papers. **************************************************************** 6. Obituary for Henry Halff Susan Chipman has noted that I should include an obituary for Henry Halff. http://www.legacy.com/obituaries/dallasmorningnews/obituary.aspx?n=Henry-Halff&pid=175494003 His bio ties him to many cognitive modelers: http://www.quiensabe.com/henry/personal/lifehistorytext.html I recently read it. It's interesting. He's like a lost uncle. **************************************************************** 7. Dynamic Models of Choice software available https://dl.dropboxusercontent.com/u/20467740/DMC.zip There's a new version of the DMC (Dynamic Models of Choice) software available. Please download it from the following direct link: http://utas.us11.list-manage2.com/track/click?u=19a252beab5576cee7f06adbb&id=d0c4822d57&e=28e61bf2d4 [they hide behind this tracker, don't know why] The major change with this version is that h.run.dmc has a new argument, random.phi=TRUE (the default setting) which in some cases can greatly improve mixing (see lessons 4_6group and 4_7group). Let us know if this new setting cause problems. Minor changes: - Putting all required packages in dmc.R (some were in model files before). - add.hyper is in need of repair and should not be used (it is no longer mentioned in lessons). Create hierarchical sampling objects from scratch with h.samples.dmc As always, please let us know if you find any bugs or have any issues. Matthew Gretton (on behalf of Prof Andrew Heathcote) **************************************************************** 8. Special issue call: JAGI Issue on AI Models of Motivation and Emotion Call for Submissions Journal of Artificial General Intelligence invites submissions for a Special Issue on: "Artificial Intelligence models of motivation and emotion" Submission Due Date: 02/15/2017 Editors of the special issue: Joscha Bach, Harvard Program for Evolutionary Dynamics, Cambridge Eva Hudlicka, Principal Scientist at Psychometrix; Visiting Lecturer at C of Information and Computer Sciences, U Massachusetts-Amherst Stacy C. Marsella, Prof, Dept of Psychology and College of Computer & Information Science, Northeastern U, Boston Introduction The Journal of Artificial General Intelligence (JAGI) is a peer-reviewed open-access academic journal, owned by the Artificial General Intelligence Society (AGIS). http://www.degruyter.com/view/j/jagi Artificial General Intelligence (AGI) is the emerging field of building of "thinking machines", that is, general-purpose systems with intelligence comparable to that of the human mind. While this was the original goal of Artificial Intelligence (AI), the mainstream of AI research has turned toward domain-dependent and problem-specific solutions; Artificial General Intelligence refers to systems that aim to understand human cognition by building generally intelligent AI systems, and vice versa, to use our growing understanding of all areas of cognition to advance the development of artificial minds. Similar labels for this kind of research include "Strong AI" and "Human-level AI". The rapid advances of AI during the last years were mainly driven by the progress of learning systems. Reinforcement learning, and supervised and unsupervised learning, have given us systems that can ground their interaction with the world in rich sensory data, discover categories and policies, map images and video to linguistic labels, and enable countless new applications from knowledge management to game playing, and from mobile agents to self-driving cars. In spite of this tremendous progress, these new systems fail to reach the autonomous activity, complex structure and creativity of human minds. One of the most important components of generally intelligent systems will be a detailed model of motivation. Motivation may not only structure the formation of categories and deliver rewards and utility functions for policy search and decision making; it may also contribute to the self-organization of a cognitive architecture during developmental processes. The parametrization of motivation can help model and understand trait differences in cognitive processing. Motivation can also drive discovery of social, communicative, cognitive and physiological goals. A core component and underlying mechanism of motivation is emotion. Emotion can be conceptualized in various ways, including as valenced responses to environmental and internal events and expectations, and as the modulation and configuration of the cognitive system as a whole. Computational models of emotion are being developed for both basic research purposes (e.g., to understand the mechanisms mediating emotion generation and affective biases, to understand the role of emotions in creativity), and more applied purposes. The latter models can enhance user modeling, enable more accurate models of human behavior for social simulations and provide more realistic and effective agent architectures for virtual characters in both serious and entertainment games. ecently, the field Artificial General Intelligence has seen a number of contributions focusing on understanding motivation and emotion. We wish to invite novel and recent developments in this area, to edit a special issue of the Journal of Artificial General Intelligence that explicitly focuses on computational models of motivation and emotion. Recommended Topics The topics we invite include but are not limited to: Affective Computing Appetitive and Aversive Reward Applications of Emotion & Motivation Models Appraisal Models Artificial Neurochemistry Artificial Pets Autonomy and Goal-Directedness Emotion and Language Emotion Recognition Emotional Architectures Emotional Modulators Evolutionary Simulation of Emotion and Motivation Interaction between Learning and Motivation Models of Motivation and Personality Models of Neuromodulators Motivational Architectures Philosophy of Motivation and Emotion Policy Learning with Motivational Systems Polytelic Motivation Synthetic Actors Theory of Mind in AI systems Virtual Humans The contributions should be novel, original, of high technical quality, and of interest to the community of AGI researchers. In addition to descriptions of existing models, we also invite speculative and philosophical contribution at a high technical standard, as long as they significantly advance our understanding of how to build generally intelligent systems. Submission Procedure Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere (AGI Conference contributions will be considered if they are sufficiently expanded for journal publication). Submissions should have a length of 12-30 pages, and use the supplied templates (LaTeX or MS Word). Interested authors should consult the website for manuscript submissions http://jagi.mindmakers.org/ prior to submission. All submissions will undergo standard peer review process. All submissions must be submitted via http://jagi.mindmakers.org/index.php/jagi/index. Accepted contributions will be published in the JAGI special issue "Artificial Intelligence Models of Motivation and Emotion". (The current publication charge is $100, and can be waived in case of hardship.) **************************************************************** 9. ACM Transactions on Social Computing, New journal http://www.acm.org/publications/submissions CALL FOR PAPERS Transactions on Social Computing, A New ACM Journal Editor-in-Chief: David McDonald, U of Washington, USA INFORMATION FOR CONTRIBUTORS ACM Transactions on Social Computing (TSC) seeks to publish work that covers the full spectrum of social computing including theoretical, empirical, systems, and design research contributions. The editorial perspective is that social computing is fundamentally about computing systems and techniques in which users interact, directly or indirectly, with what they believe to be other users or other users' contributions. TSC welcomes research employing a wide range of methods to advance the tools, techniques, understanding, and practice of social computing, including: theoretical, algorithmic, empirical, experimental, qualitative, quantitative, ethnographic, design, and engineering research. Social computing will continue to be shaped by foundational algorithmic, econometric, psychological, sociological, and social science research and these broad based perspectives will continue to have a profound influence on how social computing systems are designed, built and how they grow. TSC particularly solicits research that designs, implements or studies systems that mediate social interactions among users, or that develops or studies theory or techniques for application in those systems. Examples of such social computing systems include, but are not limited to: instant messaging, blogs, wikis, social networks, social tagging, social recommenders, collaborative editors and shared repositories. The scope of research covered within TSC includes: * Understanding motivations for contributing to and participating in social computing systems * Tools that help users understand the individual and collective roles of participants in social computing systems * The influence of scale; how differing scales of human and machine participation changes the designs and adoptions of systems * Micro-tasking systems and techniques for decomposing complex activities into recomposable tasks that can be completed by mixtures of people and machines * System architectures and infrastructure for developing social computing platforms * Foundational algorithmic analysis that accounts for human and machine data and runtime complexity * The roles of artificial agents in social computing spaces, the design, creation, and management of those agents relative to social interactions within a social computing system * Research on privacy mechanisms -- both formal and interactive -- related to social computing data and systems * Research on algorithms for personalization within a social computing context, including recommender systems and social matchmaking systems * Research on crowdsourcing, collaborative content creation, productive social gaming, and other mechanisms and applications of aggregating individual contributions for a collective goal * Research studying communications patterns in online communication forums * Ethnographic case studies of social computing in situ * Algorithms for extracting knowledge from social computing usage data and artifacts ACM Instructions to Authors can be found at http://www.acm.org/publications/submissions. Associate Editors Michael Bernstein, Stanford Peter Brusilovsky, U of Pittsburgh Meeyoung Cha, KAIST, Korea Yiling Chen, Harvard U Ed Chi, Google Kevin Crowston, Syracuse U Laura Dabbish, CMU Steven Dow, U of C, San Diego Rosta Farzan, U of Pittsburgh Sue Fussell, Cornell U Liz Gerber, Northwestern Arpita Ghosh, Cornell U Ramesh Jain, UC, Irvine Karrie Karahalios, U of Illinois David Karger, MIT Emre Kiciman, Microsoft Research Joe Konstan, U of Minnesota Cliff Lampe, U of Michigan Huan Liu, Arizona State U David Millen, IBM Research, Brazil Marc Smith, Connected Action, consulting Daniel Zeng, U of Arizona Boi Faltings, Ecole Polytechnique Federale de Lausanne, Switzerland **************************************************************** 10. New journal: Ergonomics and Human Factors at Work http://www.tandfonline.com/toc/uehf21/current [new journal, reasonable editorial board] IIE Transactions on Occupational Ergonomics and Human Factors is devoted to compiling and disseminating knowledge on occupational ergonomics and human factors theory, technology, application, and practice, across diverse areas and using a variety of approaches. The journal has a primary and fundamental emphasis on people at work. Papers cover a wide range of topics including, but not limited to the major domains of physical, cognitive, and organizational ergonomics and human factors. IIE Transactions on Occupational Ergonomics and Human Factors is committed to enhancing communication and information transfer between researchers and practitioners in the occupational ergonomics and human factors discipline. Multidisciplinary investigations are particularly encouraged, and the journal welcomes a variety of submissions, including those that are analytical, experimental, applications, or viewpoints. Submissions from practitioners are also strongly encouraged (e.g., case reports, emerging issues, applications, and letters to the editor). An efficient review process is used, with a mean time to decision of 30 days. Easily submit a paper to http://mc.manuscriptcentral.com/oehf. **************************************************************** 11. Seeking Volunteer HCI Editor for Computing Reviews Date: Fri, 8 Jul 2016 15:23:28 -0400 Sender: "ACM SIGCHI Job Postings in HCI (Mailing List)" From: Angela Pugh Subject: Seeking Volunteer HCI Editor for Computing Reviews To: CHI-JOBS at LISTSERV.ACM.ORG Human-Centered Computing Category Editor Needed for Computing Reviews Computing Reviews, the post-publication review and comment journal of ACM, is seeking a volunteer editor interested in serving as category editor for the human-centered computing (encompassing HCI, interaction design, collaborative and social computing, accessibility, and ubiquitous and mobile computing). The qualified candidate will be prepared to check written reviews of already-published items for quality, and the classification terms from ACM's CCS for accuracy, as well as use a web-based editing system to make any suggested changes to the CCS terms or to the review itself. Most importantly, the category editor provides feedback to the review's author so that existing guidelines are met. He or she also works with staff and reviewers to develop additional features for the publication. This is an opportunity for an enthusiast in the discipline to use specialist knowledge to contribute to a product that helps others navigate and sift through the computing literature. If you are interested, please send an email--including your CV and a statement outlining why you feel you would be a good candidate--to ceapps at computingreviews.com. Please include the code CE-HCC in the subject line. **************************************************************** 12. Book: The Oxford Handbook of Cognitive Science Susan E. F. Chipman (ed.) https://global.oup.com/academic/product/the-oxford-handbook-of-cognitive-science-9780199842193 and available in OUP online library in many libraries. Emphasizes work that is most central to the discipline of cognitive science, and points to key resources for future research Exemplifies the intersections of many traditional subfields of cognitive science and the insights that can be gained for each field of inquiry Discusses formal cognitive models that will inform future accounts of complex cognitive performance. An Introduction to Cognitive Science Susan E.F. Chipman Part I: The New Computational Psychology: Cognitive Architectures and the Computational Modeling of Cognition 1. ACT-R and Beyond, Salvucci 2. A Summary of the EPIC Cognitive Architecture, Kieras 3. The CAPS Family of Cognitive Architectures, Varma 4. Connectionism and the Emergence of Mind, Flusberg & McClelland 5. The Lebra Cognitive Architecture: How to Play 20 Principles with Nature and Win! O'Reilly, Hazy, & Heard 6. The CLARION cognitive architecture: Toward a comprehensive theory of the mind Sun Part II: Cognitive Science Perspectives on Classic Problems in Psychology 7. Concepts, Meaning, and Conceptual Relationships, Love 8. An Integrative Account of Psychological Time, van Rijn & Taatgen 9. The Central Questions of Spatial Cognition, Liu & Schunn 10. Causal relations: Kant, Unity and Diversity, Lewis 11. The Cognitive Science Approach to Learning and Memory, Walsh & Lovett 12. Problem Solving, Reed 13. Decision Making: A Cognitive Science Perspective, Gonzalez 14. What Brain Imaging Reveals About the Nature of Multitasking, Just & Buchweitz Part III: The Cognitive Science of Language 15. Cognitive Linguistics, Evans 16. WordNet: An Electronic Lexical Resource, Fellbaum 17. VerbNet: Capturing English Verb Behaviour, Meaning and Usage Palmer, Bonial, & Hwang 18. Natural Language Processing, Nirenburg & McShane **************************************************************** 13. Book: Anatomy of the Mind https://global.oup.com/academic/product/anatomy-of-the-mind-9780199794553 Anatomy of the Mind: Exploring Psychological Mechanisms and Processes with the Clarion Cognitive Architecture Ron Sun (part of the Oxford Series on Cognitive Models and Architectures) This book aims to understand human cognition and psychology through a comprehensive computational theory of the human mind, namely, a computational "cognitive architecture" (or more specifically, the Clarion cognitive architecture). The goal of this work is to develop a unified framework for understanding the human mind, and within the unified framework, to develop process-based, mechanistic explanations of a large variety of psychological phenomena. **************************************************************** 14. Book: Exploring Robotic Minds https://global.oup.com/academic/product/exploring-robotic-minds-9780190281069 Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena Jun Tani * Discusses understanding minds through synthetic neurorobotics. * Describes the emergence of symbol structures in the higher cognitive brain areas from experiences of sensory-motor interaction in the lower peripheral areas. * Offers the intersection between nonlinear dynamics, brain science, robot engineering, and phenomenology. * Explains the underlying mechanism of minds by using intuitive figures and plots from various robotic experimental results. * Includes a unique combination of tutorials on cognitive science, phenomenology, system level neuroscience and dynamical systems approach and illustration of the key robotic experiments by the author. * Shares links to videos of Tani's exciting robotic experiments. **************************************************************** 15. Penn State, Human Centered Design + 2 tenure + lecturers https://ist.psu.edu/college/faculty_search#t455n2252 Human Centered Design The College of IST (http://ist.psu.edu) at Penn State invites applications for a tenure-track faculty position in Human Centered Design (HCD) to begin Aug 2017. This is the first step in a multiyear/multi-position expansion of our College. We are especially interested in the design of data, algorithms, and interactive techniques that are useful and transparent to people, ubiquitous information infrastructures, technologies, and applications, and technology-mediated complexity and nuance. Our College has other world-class research groups in Security and in Data Science, and we are eager to strengthen our collaborations with these groups. Candidates' research should leverage design research, action research, and/or the maker movement, integrating the study of how people behave and interact with the creation of new designs and research through design. Candidates should be prepared to teach undergraduate and graduate courses in HCD. To apply, visit https://psu.jobs/job/65662 (only basic personal information is required, but not other information listed below). In addition, interested applicants should submit the following material to https://academicjobsonline.org/ajo/jobs/7711: [this is not a Penn State site] a cover letter, a Curriculum Vitae, a 3-5 page research statement, a one-page teaching statement, contact information of 3-5 professional references. Review of applications will begin on 1 Oct 2016, and will continue until the position is filled. Inquires about the position may be directed to facultyrecruiting at ist.psu.edu. [this second link is not to a Penn State site, but is a contracted entity; we will probably take copies of your applications or references as posted or emailed PDFs if this violates your sense of propriety, or you too believe it is an inappropriate approach] Open rank, tenure-track, faculty positions in Data Ethics https://ist.psu.edu/college/faculty_search#t455n2251 Open rank, tenure-track, faculty positions in Human Centered Design https://ist.psu.edu/college/faculty_search#t455n2252 Open rank, tenure-track, faculty positions in Security and Privacy https://ist.psu.edu/college/faculty_search#t455n2745 Lecture Positions in Software Development and Programming, Discrete Math, Cyber Security, or Enterprise Information Technology https://ist.psu.edu/college/faculty_search#t455n2744 **************************************************************** 16. Assistant Prof., RPI https://careers.insidehighered.com/job/1265118/assistant-prof-in-psychological-science/ The Psychological Science search committee at Rensselaer is pleased to announce its official beginning of our search for an Assistant Prof. We are sort of expecting it to go to someone who has been out for a few years as a post-doc but any and all outstanding applicants will be considered. Wayne Gray **************************************************************** 17. Assistant prof, Cognitive Science, Carleton U., Ottawa, ON Academic unit: Institute of Cognitive Science Category of appointment: Preliminary (Tenure-Track) Field of Specialization: Cognitive Science: Brain and Mind Rank/Position title: Assistant Professor Start date: 1 Jul 2017 [canada day, so it will be a holiday!] Closing date for Applications: December 1, 2016 https://carleton.ca/provost/wp-content/uploads/Cognitive-Science-Brain-and-Mind-Assistant-Professor.pdf The Institute of Cognitive Science invites applications from qualified candidates for a tenure track appointment in Cognitive Science: Brain and Mind at the rank of Assistant Prof beginning 1 Jul 2017. The candidate will be expected to have expertise in the theories and methods that link human cognition, broadly construed, to brain activity. The candidate will be expected to teach courses at the undergraduate and graduate levels in this area, to collaborate on interdisciplinary projects with other faculty members in the Institute, and to supervise graduate and undergraduate research projects in this area. The Institute of Cognitive Science (http://www.carleton.ca/ics) offers programs at the Bachelors, Masters, and Ph.D. levels in Cognitive Science to approximately 400 undergraduate and 40 graduate students. Carleton is one of the few institutions in the world to offer B.Cog.Sc. and M.Cog.Sc. degrees. The Institute is a fully-independent academic unit, with dedicated faculty members. It is also supported through cross-appointments from Psychology, Linguistics, and Philosophy, and supervisory contributions from several other units, including Computer Science. Qualifications: The position requires a Ph.D. in Cognitive Science or a related discipline, with evidence of high-quality research on the relations between cognition and brain activity. The position requires evidence of excellent teaching potential in cognitive science and/or a related discipline. The position requires an excellent track record of high quality research, supported by peer-reviewed publications, showing the potential for funded, independent research, strong methodological and analytical skills, and expertise in several brain scanning methodologies, ideally with a focus on EEG/ERP and other minimally invasive methods. The potential to collaborate with other faculty members in the Institute is an asset. Interest in developing outstanding teaching in an interdisciplinary context is highly desirable. The candidate's research will be fundable by either NSERC or CIHR. Application instructions: Applicants should include a curriculum vitae and supporting documents, including a letter of application, a research statement, teaching dossier, and three to five representative publications. These materials should be sent electronically as a single PDF file to John Tracey, Institute Administrator, john.tracey at carleton.ca. Three referees should send letters in support of the applicant to the same address. Applications should be received by 1 Dec 2017. Please indicate in your application if you are a Canadian citizen or permanent resident of Canada. Applicants selected for an interview are asked to contact the Chair of the Search Committee as soon as possible to discuss any accommodation requirements. Arrangements will be made in a timely manner. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. All positions are subject to budgetary approval. -- JimDavies http://www.jimdavies.org/riveted **************************************************************** 18. U of Maryland Baltimore County Info Sys Dept, due 1 Nov 2016 http://apply.interfolio.com/37306 [this is not part of the UofMd] Two Tenure Track positions on Data Science / Big Data One Tenure Track position in Artificial Intelligence/Knowledge Management We invite applications for 3 tenure-track faculty positions at the Assistant Prof level starting Aug 2017. We are searching for 2 candidates with research interests and experience in Data Science, a research area with high growth and impact in environmental sciences, health care, security, applied statistics and others. The ideal candidate will have expertise in conducting large-scale data science research, such as extracting knowledge from data of increasing sizes, velocity, and variety to improve decision making in one or more application domains closely relevant to active research areas in the IS department. We are also searching for a candidate with research interests and experience in Artificial Intelligence (AI) and/or knowledge management (KM). The ideal candidate should have expertise in conducting AI/KM research to improve decision making in application domains such as social computing, health, business analytics, environmental sustainability, and public welfare. Candidates must have earned a PhD in Information Systems or a related field no later than Aug 2017. The research areas in the department are: Artificial Intelligence/Knowledge Management, Databases and Data Mining, Human Centered Computing, Software Engineering, and Health Information Technology. Candidates should be engaged in research that fosters collaboration with at least one of the research areas. Therefore, preference will be given to those who can collaborate with current faculty within and across departments at UMBC, fostering interdisciplinary research. Candidates are expected to establish a collaborative, externally funded and nationally recognized research program as well as contribute to graduate and undergraduate teaching, advising, and mentoring that support diversity and inclusion. The Department offers undergraduate degrees in Information Systems and Business Technology Administration. Graduate degree programs, MS and PhD, are offered in both Information Systems and Human-Centered Computing, including an innovative online MS program in IS. Consistent with the UMBC vision, the Department has excellent teaching facilities, state-of-the-art laboratories, and outstanding technical support. Further details on our research, academic programs, and faculty can be found at http://www.is.umbc.edu. ... Electronic submission of application is required at http://apply.interfolio.com/37306 [this is not part of the UofM] for the two positions in Data Science/Big Data and all Artificial Intelligence/Knowledge Management applicants should apply at http://apply.interfolio.com/37179. All applications for all three positions must be submitted as PDF files, which include a cover letter, CV, a one-page statement of teaching interests, a one-page statement of research interests and names and contact information of at least three references. For inquiries, please contact Barbara Morris at (410) 455-3795 or bmorris at umbc.edu. Review of applications will begin in Nov 2016 and will continue until the positions are filled, subject to the availability of funds. **************************************************************** 19. Tenure track asst prof, Engineering Psychology, New Mexico State https://jobs.nmsu.edu/postings/25985, due 1 Nov 2016 The Department of Psychology at New Mexico State U invites applications for a tenure-track, assistant prof position in Engineering Psychology/Human Factors starting in Fall 2017. NMSU is the nation's only Land Grant institution that is also classified as both a Hispanic Serving Institution and a Carnegie High Research Activity Institution. We are looking for a candidate whose research interests fall within the domains of Human Factors, Engineering Psychology, or User Experience (UX) Research. We are especially interested in candidates with a background in human/computer interaction, healthcare human factors, aviation psychology, environmental psychology, or risk assessment. We are looking for a candidate with a record of applying for external funding whose program of research will make a significant impact in their specialty area. Our faculty and graduate students have active research interests in social, cognitive, and engineering psychology. Candidates who can demonstrate clear connections to one or more of these areas of research or the potential for creative cross-disciplinary collaboration within and across departments are preferred. The successful candidate will value collegiality and service to their department/institution and will have the demonstrated capability to teach graduate and undergraduate courses in engineering psychology, human/computer interaction, statistics, and research methods, and will serve as a research mentor to undergraduate and graduate students. A PhD in Psychology or related field with an emphasis in applied cognition, engineering psychology, human factors, or user experience research is required (in hand by hire date). The deadline for applications is 1 Nov 2016, after which new applications will not be considered. Please submit a current curriculum vitae, letters describing research and teaching interests, relevant reprints or preprints of completed research, unofficial transcripts of the highest degree earned, and three letters of recommendation via https://jobs.nmsu.edu/postings/25985. New Mexico State U is an Equal Opportunity/Affirmative Action Employer. Offer of employment is contingent upon verification of applicable credentials, criminal and other background information. APPLICATION INFORMATION Contact: Justin MacDonald, jmacd at nmsu.edu **************************************************************** 20. Tenure-track assistant/associate in psychology, Mich State http://www.mathpsych.org/index.php?option=com_content&view=article&id=293&Itemid=1 The Department of Psychology at Michigan State U seeks to hire a full-time tenure-system faculty member at the assistant or associate prof level in the area of cognition and cognitive neuroscience. We will consider candidates in any area of cognition and cognitive neuroscience, but are particularly interested in researchers studying high-level cognition, such as problem solving, executive control, judgment and decision making, learning and memory, or attention. **************************************************************** 21. Adjunct (concurrent) positions, MEPhI, Moscow Institute for Cyber-Intelligent Systems (ICIS), a new Division of NRNU MEPhI, Moscow, Russia (https://eng.mephi.ru) needs to fill several open Adjunct Faculty positions by 1 Nov 2016. A candidate must have a PhD, a good research record, a current researcher or instructor position and a citizenship outside of Russia. Hired Faculty will have NRNU MEPhI as their secondary affiliation and will work part-time remotely (visiting Russia is welcome, but not required). Position categories, base salaries, and additional qualifications are as follows. * Prof ($700 USD per month): Scopus H-index > 15. * Docent ($500/month): Scopus H-index > 5, over 5 Scopus publications during the last 3 years (conference papers included). * Senior Teacher / Research Assistant ($250/month): age under 39, any Scopus publications. In addition to the base salary, every job activity will be rewarded with a separate premium payment, including, and not limited to: - a Scopus-indexed publication (with NRNU MEPhI acknowledged as an affiliation): $700 for a Q1/Q2 journal paper, $500 for a Q3/Q4 journal paper, $250 for a conference paper; - an online course or lecture; - postdoc/student mentoring; - a Russian grant application; - creation of a double-degree program, - student or faculty exchange, etc. (all the aforementioned activities are encouraged). Commitments: active collaboration with ICIS, resulting in at least one Scopus-indexed paper per year (acknowledging NRNU MEPhI as an author affiliation) in a priority area, including: - Cognitive modeling and BICA; - Artificial Intelligence and Robotics; - Neuromorphic / Hybrid Supercomputing; - Informational, Cyber- and Financial Security. Initial term: 11 months (starting in Nov 2016; first salary in December). Payments cannot be made to a foreign university: the employee must receive salary directly through a Russian bank account. The positions are funded by NRNU MEPhI. A sample of the contract is available on request. How to apply: please send your CV with a list of publications, plus scans of your passport, PhD and Masters Diplomas to Valentin Klimov (VVKlimov at mephi.ru) and Sergey Misyurin (SYMisyurin at mephi.ru) by 22 Oct. Inquiries can be sent to Alexei.Samsonovich at gmail.com **************************************************************** 22. Associate Research Scientist, ETS http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&JID=224958 August 24, 2016 Location: Princeton, NJ Job Type: Full-Time/Regular Job Level: Entry Level(less than 2 years) Years of Experience: Up to 2 Years Level of Education: Doctoral Degree Starting Date : ASAP Sign In to Submit Application Job Description ETS Research & Development has an opening for an Associate Research Scientist in the Cognitive Science Research Group, within the Cognitive, Accessibility, and Technology Sciences Research Center. The CogSci Group, currently with 16 members, investigates, develops, and applies cognitive science theories and methods to solve educational assessment problems. We collaborate on a variety of internally and externally funded research agendas around innovative student and teacher assessment capabilities, including game- and simulations-based assessment. We conduct interdisciplinary assessment research from a variety of perspectives within the cognitive sciences, spanning cognitive psychology, education, computer science, educational technology, and artificial intelligence. In partnership with teams of psychometricians, statisticians, validity theorists, computational and applied linguists, IT developers, assessment developers, and other cognitive scientists from across ETS, we create, develop, and maintain valid, innovative, technology-enhanced assessments to assess complex competencies for educational and workforce contexts. We are recruiting a cognitive scientist with expertise in the areas of cognitive task analysis, experimental design, and cognitive modeling, especially as applied to problem solving and interpretation of sequential data (e.g., verbal protocols, interaction logs, eye tracking, multi-modal data) in a variety of domains. Because of the CogSci group's emphasis on interactive, online assessments, we are particularly interested in candidates that also have expertise in human-computer interaction, especially user experience design. Useful additional skills include some form of programming, particularly as it applies to prototyping or developing computational cognitive models. BASIC FUNCTIONS AND RESPONSIBILITIES Contribute to the planning of a research agenda that draws upon the cognitive sciences and new technologies to advance the fields of educational or workforce assessment. Take responsibility for conceptualizing, proposing, obtaining funding for, and directing small projects and/or assisting in moderate-to-major ones. This includes managing, or participating in the management of, projects involving management skills such as staff assignment and scheduling, budgeting, and acquisition and utilization of equipment, facilities, and services. Projects may include (1) research projects, (2) development projects that use scientific principles to create (a) tools to improve the efficiency or quality of the practice of test development or statistical analysis: (b) innovative item types: or (c) the scoring of responses to open-ended items and (3) development projects that use scientific principles to create new products or product prototypes. Small research and development projects typically have minimal budgets, few or no staff other than the project director, a timeline of a year or less, and a single deliverable that is relatively narrow in scope. Major projects have substantial budgets, involve the coordination of many individuals internal and possibly external to ETS, may run across years, and may produce multiple deliverables. Moderate projects fall in between these two types. Research and Development Efforts: Design and conduct research studies functioning as an expert in the major facets of projects: respond as a subject-matter expert in presenting the results of acquired knowledge and experience. Consult and collaborate on problems arising from research, testing programs, or corporate management concerns. Design, develop, and evaluate research prototypes of new forms of assessment in a variety of domains. Develop, and contribute to the development of, new products or services for education based on scientific principles drawn from the research literature. Document and disseminate the results of research or development projects and programs through a portfolio of publications and presentations that have impact on the field and ETS. Develop proposals for research or development projects, and obtain financial support for new or continuing research activities. Experience and Skills A Ph.D. or Ed.D. in a cognitive science, educational psychology, or educational technology or similar area is required. One year of independent substantive research and/or development experience in educational technology, assessment innovations and technologies, computer science, education, cognitive and learning sciences, or cognitive and social psychology is required. Experience can be gained through doctoral studies. Candidates with experience in human-computer interaction research and experimental design are particularly encouraged to apply. **************************************************************** 23. Accessibility Engineer, Educational Testing Service http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=223823 The Research and Development division of Educational Testing Service seeks an Accessibility Engineer to join our growing Accessibility, Standards, and Assistive Technology Group. Accessibility Engineers implement and contribute to the design and development of accessible, standards-based assessments in support of both research and testing programs. They consult with research scientists in the application, development, and specification of technical accessibility standards, based on requirements for specific disabilities, assistive technologies, and assessment validity. The successful candidate should understand key accessibility standards & requirements, and be prepared to consider their application to assessment delivery, including students' use of assistive technologies. Responsibilities include: * Contribute to the development of innovative technical approaches to accessibility challenges in innovative assessments. * Engage in rapid prototyping in support of research and standards developments to evaluate potential technical solutions. * Participate in international standards working groups to propose and champion proposed additions or changes to technical standards. * Maintain continuing awareness of recent advances in accessibility, standards, and assistive technologies and leverage this awareness into creative solutions for ETS applications. REQUIREMENTS * A master's degree in computer science or information systems, or bachelor's degree and demonstrated experience and track record in accessibility with four years of diverse experience in digital accessibility, including design, evaluation (testing), and implementation of accessible interfaces including two years of active participation in accessibility related standards work. * A strong background in (1) web development and experience in HTML5, CSS, JavaScript, SVG, WAI-ARIA, and the application of WCAG 2.0 AA requirements; (2) the use of assistive technologies across multiple platforms, including screen readers, magnification, and read-aloud tools; and (3) the use of accessibility evaluation tools and methods. * Excellent verbal and written communication skills ================= Irvin R. Katz, PhD, Senior Director, Cognitive, Accessibility, & Technology Sciences (CATS) Center Educational Testing Service, MS 16-R Rosedale Road Princeton, NJ 08541 ph: 609-734-5150 **************************************************************** 24. NASA Space Technology Res Fellowship (NSTRF17) - Fall 2017 Release Due 3 Nov 2017, recuring Thread-Index: AQHSCtBHRP+N+ujyOkSzc3F85a8YfQ== Date: Fri, 9 Sep 2016 19:28:01 +0000 Reply-To: "Micire, Mark J. (ARC-TI)" Sender: HRI-Announcement To: HRI-ANNOUNCEMENT at LISTSERV.ACM.ORG The National Aeronautics and Space Administration (NASA) Headquarters has released a solicitation, titled NASA Space Technology Research Fellowships (NSTRF) - Fall 2017, on September 8, 2016. The solicitation is available by visiting the URL: https://nspires.nasaprs.com/external/solicitations/summary.do?method=init&solId=%7BA3488581-2E70-6AA1-76F0-E9A5A770A975%7D&path=open NASA's Space Technology Mission Directorate (STMD) seeks to sponsor U.S. citizen and permanent resident graduate student researchers who show significant potential to contribute to NASA's goal of creating innovative new space technologies for our Nation's science, exploration, and economic future. This call for graduate student fellowship applications solicits applications from individuals pursuing or planning to pursue master's (e.g., M.S.) or doctoral (e.g., Ph.D.) degrees in relevant space technology disciplines at accredited U.S. universities. Selected applicants will perform research at their respective campuses and at NASA Centers. In addition to his or her faculty advisor, each Fellow will be matched with a technically relevant and community-engaged researcher who will serve as the student's research collaborator. This solicitation has two phases: * Phase A is the application submission by the student. All Phase A applications must be submitted electronically through NSPIRES and are due by *6 PM ET on 3 Nov 2016*. Detailed submission instructions for applicants are provided under "Other Documents" on the NSPIRES webpage associated with the NSTRF17 solicitation. Potential student applicants are urged to access the NSPIRES electronic proposal system well in advance of the proposal due date to register with NSPIRES, familiarize themselves with its structure, and to enter the requested information. * Phase B is the application submission by the university where the selected student will be enrolled for the fall 2017 term as a full-time graduate student (as specified in the NSTRF17 solicitation). Awards are planned to coincide with the start of the 2017 academic year and are subject to the availability of appropriated funds. Awards resulting from this competitive selection will be made in the form of training grants to accredited U.S. universities. This solicitation covers only new fellowship applications; renewal applications are handled separately. Comments and questions may be addressed by e-mail to the Space Technology Research Grants Program Executive, Claudia Meyer (hq-nstrf-call at mail.nasa.gov). Responses to inquiries will be answered by e-mail and may also be included in the Frequently Asked Questions (FAQ) document located on the NSPIRES page associated with the solicitation; anonymity of individuals/institutions who submit questions will be preserved. --- Mark J. Micire Research Scientist, Intelligent Robotics Group Intelligent Systems Division, Exploration Technology Directorate NASA Ames Research Center mark.j.micire at nasa.gov **************************************************************** 25. Post-doc, Michigan https://lsa.umich.edu/weinberginstitute, due 14 Oct, recurring Weinberg Institute for Cognitive Science U of Michigan, Ann Arbor The Weinberg Institute for Cognitive Science at The U of Michigan invites applications from creative, highly qualified and motivated researchers for a two-year postdoctoral position. The beginning dates of the appointment would either be Jan or Sept 2017, depending on the applicant appointed. Area of specific specialization(s) is open. QUALIFICATIONS: The successful application will hold a PhD in any area of The Cognitive Sciences. We value rigor, commitment, Interdisciplinarity, a collaborative perspective, diversity and a desire to teach. Applications should include a cover letter, a research proposal, one page teaching statement and contact information for 3 references. Research statements must specify how the applicant's research will integrate with and benefit from ongoing Cognitive Science Research conducted at The U of Michigan. The research proposal could mention any UM faculty from the Departments of Linguistics, Psychology, Philosophy, Computer Science and Engineering and/or The Neuroscience PhD Program, or related disciplines. The position will also involve annually co-teaching a graduate seminar (regarding their research) with a UM faculty member conducting Cognitive Science research. For information regarding The Weinberg Institute for Cognitive Science, please go to https://lsa.umich.edu/weinberginstitute Further Information: The Weinberg Institute was established just two years ago. We seek applicants willing to collaboratively and innovatively contribute to the developing Institute, the mission of which is to create a world class center for Cognitive science research and for both undergraduate and graduate teaching of Cognitive Science. Send application materials by 14 Oct to: cogsciprog at umich.edu (please enter "POSTDOC INQUIRY" in Subject line) ---------- Richard L. Lewis John R. Anderson Collegiate Prof of Psychology, Linguistics and Cognitive Science http://www-personal.umich.edu/~rickl/ Dept of Psychology (734) 763-1466 U of Michigan Ann Arbor, MI **************************************************************** 26. Postdoc at ARL [I don't have a closing date, but it may have passed. In any case, they continue to grow and look for folks.] A postdoctoral scholar position is available in the Army Research Laboratory, Human Research & Engineering Directorate at Aberdeen Proving Ground, MD. The applicant should have, or be scheduled to complete, a PhD in computer science, cognitive science, psychology, or a related field by the time the employment starts. Candidates should have technical skills in learning theory and modeling. Programming skills include: Java, Python, Cognitive Architectures (such as ACT-R, Soar), R or related statistical programming languages. Relevant knowledge includes how to run studies, simulations, statistical analyses, and writing. The candidate must be a US citizen. The goal of the human dynamics of cybersecurity program is to measure, analyze, and model human decision-making processes and the ability to detect and thwart attacks as long-duration and complex cognitive tasks. Our approach to advance the foundational science is to look at the three-fold integration of attacker, defender, and user into a common framework. Applicants can propose research that addresses one or more main thrusts: Cyber Cognition and Biopsychology: the development of metric approaches to quantify and predict cyber analyst performance and human-system interactions that seeks to collect, extract, and analyze large volumes of time-stamped data to characterize high resolution behavioral, physiological, task-based, and environmental factors influencing task performance and decision-making of individuals and teams, Training Effectiveness: addresses the challenge currently facing the maturation of cyber capable defense forces: understanding how to challenge, assess, and rapidly develop cyber skill-sets in realistic cyber operational environments to include our new human-in-the-loop cyber test range facility; Cyber Team Processes: focuses on capturing, understanding, and modeling team processes and dynamics to achieve greater mission effectiveness, and Adversarial Dynamics: focuses on modeling and simulation to understand adversarial attacker-defender-user dynamics in the cyber domain to support multi-agent simulation using game theory, AI, cognitive modeling, Markov modeling, Petri nets, and related approaches. The selected candidate will collaboratively develop a research topic with their ARL advisor into a 5-page synopsis. The selected research topic must seek to advance the human computational sciences to support the cyber analyst, a key link in the Army's cyber defense strategy. The applicant should seek to make use of a new state-of-the-art cyber test range laboratory for human-in-the-loop experiments and modeling & simulation in the cyber domain. The CHIMERA Laboratory (Cyber Human Integrated Modeling & Experimentation Range - Army) is a fully configurable virtual network with eight sound-attenuated 'whisper rooms' to examine cyber cognition and teaming. The position offers opportunities to work with researchers with a wide range of experts from across Academia, Government, and Industry (for example, the Cybersecurity Collaborative Research Alliance http://cra.psu.edu/) and is part of ARL's Open Campus initiative to empower the continuous flow of people and ideas to ensure the transformative scientific discovery, innovation, and transition critical to national security. Position Details: The postdoctoral position is available at ARL, Human Research & Engineering Directorate, Aberdeen Proving Ground (APG), MD. APG is situated just north of the Baltimore/Washington area and south of Philadelphia. Historically, APG housed the development of the world's first digital computer ENIAC and continues to be home to a robust Army research, development, and testing community. Post-doctoral scholar appointments are full-time, 12-month, non-tenure positions, with yearly renewals dependent upon performance and fund availability, not to exceed five years. Yearly stipend is $75k with excellent health-care benefits (Blue Cross Blue Shield), with financial support for laboratory costs, conference attendance, training opportunities, and relocation reimbursement. Fellowships are offered through either the National Research Council or the Oak Ridge Associated Universities programs. For information on ARL's programs, visit http://www.arl.army.mil/ and click on Post Doctoral Research Programs in the left column. To apply, electronically submit to norbou.buchler.civ at mail.mil a cover letter describing qualifications, a CV, and contact information or letters of recommendation from three professional references. Review of applicants is ongoing and the position will begin when a suitable candidate is selected. **************************************************************** 27. Postdoctoral Fellow at NRL [the date has passed, but they continue to have positions over time] Cognitive Modeling of Deductive and Explanatory Reasoning Processes Intelligent Systems Section Navy Center for Applied Research in Artificial Intelligence --------------------------------------------------- The Intelligent Systems Section at the Naval Research Laboratory seeks applications for a position of Postdoctoral Fellow in Computational Cognitive Modeling. The postdoctoral fellow will work with Dr. Sunny Khemlani and Dr. Greg Trafton on computational models of the processes underlying deductive and explanatory reasoning. The ideal candidate has (or will have) a PhD in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, cognitive modeling, and a strong programming background. Programming skills include: Lisp, R, ACT-R, or related languages. Experience or interest in domains of reasoning (e.g., quantificational, sentential, spatiotemporal, causal, explanatory, and probabilistic reasoning) is a plus. Postdocs will be hired through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible. The Intelligent Systems Section at the Navy Center for Applied Research in Artificial Intelligence is devoted to basic and applied research in human cognition. The lab is interdisciplinary and focuses on cognitive science, artificial intelligence, cognitive robotics, and human-robot interaction. More information is available here: http://www.nrl.navy.mil/itd/aic/IntelligentSystems Applicants should send a letter of interest, curriculum vitae, relevant journal articles, and three reference letters by 15 Aug. For additional information, please contact Dr. Sunny Khemlani (sunny.khemlani at nrl.navy.mil) or Dr. Greg Trafton (greg.trafton at nrl.navy.mil). **************************************************************** 28. Graduate student openings, Optimal Learning Lab, U. Memphis http://optimallearning.org Institute for Intelligent Systems and Psychology Department U of Memphis - Dr. Philip Pavlik Jr ppavlik at memphis.edu Current opportunities available for the 2017 graduate admission year ' Seeking motivated students with an interest in theoretically based based work on educational applications Full funding available for qualified students pursuing cognitive psychology PhD work In addition to conducting experiments on a variety of learning phenomenon we have 2 main software projects described here New ideas are welcome if they fit within the overall lab goals for doing good science to help students LearnSphere: A community data infrastructure to support learning improvement online Led by CMU and bringing together multiple top players in learning analytics NSF funded until 12/19 Mobile Fact and Concept Training System (MoFaCTS) is an advanced adaptive practice and learning experimentation system that helps students learn information such as facts or concepts with multimedia drill practice is a browser-based web-application, with source code available https://bitbucket.org/ppavlik/mofacts. is now available with multiple sample content modules. uses a quantitative model of your performance to select an item to learn that will optimally balance the challenge relative to your current ability. tracks both prior performance (i.e. past successes and failures) and memory factors, such as recency, frequency, spacing and forgetting and saves all of your results to track your learning over multiple sessions. designed by Philip Pavlik, and many other important collaborators who have been his co-authors, https://www.researchgate.net/profile/Phil_Pavlik_Jr/publications and implemented by a series of talented programmers. exports data to a convenient format for sharing or analysis https://datashop.memphis.edu/. was developed over multiple years with funding from the IES: DOED, NSF, and R. Zdrojkowski. details: https://mofacts.optimallearning.org/ITS2016final.pdf presented at the 2016 Intelligent Tutoring Systems Conference. **************************************************************** -30- If you have read this far, part of my favorite movie: Wizard of speed and time, second edition short https://www.youtube.com/watch?v=92p3NgO9e-Y **************************************************************** From robert.merrison at postgrad.plymouth.ac.uk Mon Nov 14 07:52:10 2016 From: robert.merrison at postgrad.plymouth.ac.uk (Robert Merrison) Date: Mon, 14 Nov 2016 12:52:10 +0000 Subject: Connectionists: Faculty-funded PhD studentship (evolving spiking networks) - Plymouth University Message-ID: A 3-year PhD studentship is available within the School of Computing, Electronics and Mathematics at Plymouth University. The project will involve building on our existing research to develop a new model of axon and dendrite growth that can be used to produce functional spiking neural networks. Techniques from evolutionary computing will be applied to optimize the parameters of the growth model in order to produce spiking networks that achieve particular functional goals relating to vision and robotic control. We anticipate that the project will make extensive use of GPU computing in order to maximize the speed of model optimization and simulation. The studentship is supported for 3 years and includes full Home/EU tuition fees plus a stipend of ?14,296 per annum. The studentship will only fully fund those applicants who are eligible for Home/EU fees with relevant qualifications. Applicants normally required to cover overseas fees will have to cover the difference between the Home/EU and the overseas tuition fee rates (approximately ?11,040 per annum). Applicants must have a first degree in computer science, robotics, cognitive science or related discipline. A Masters level degree in the same disciplines is a desirable criterion. Good programming skills are also an essential requirement - ideally with some experience of GPU programming. For full details of the studentship and how to apply, please see: http://www.jobs.ac.uk/job/AVH452/phd-studentship/ Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women's careers in STEMM academia. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. From gemma.boleda at upf.edu Mon Nov 14 08:10:30 2016 From: gemma.boleda at upf.edu (Gemma Boleda) Date: Mon, 14 Nov 2016 14:10:30 +0100 Subject: Connectionists: Jobs: 2 PhD and 3 post-doc positions, Barcelona, ERC Grant on reference with neural networks Message-ID: * Job openings: 2 PhD student and 3 post-doc positions on computational approaches to reference with memory-enhanced neural networks * Universitat Pompeu Fabra, Barcelona, Spain Applications are welcome for 2 PhD student and 3 post-doc positions on computational approaches to reference with memory-enhanced neural networks. The positions are for at most 4 years, and will be funded by a 5-year European Research Council Starting Grant awarded to the project AMORE: A distributional MOdel of Reference to Entities (gboleda.utcompling.com/research-1/projects/amore). PROFILES We seek outstanding researchers with a genuine interest in how human language, communication, and cognition work, with any of the following backgrounds: Machine learning, specifically deep learning (of special interest are recurrent models and models with dynamic trainable memories); Computer Vision and the integration of Language and Vision; Computational semantics, formal semantics, and computational approaches to discourse (particularly on topics related to reference, including DRT or similar frameworks, coreference and anaphora, conceptual aspects of meaning, and distributional semantics). Advanced programming and mathematical skills are required for 2 of the 3 post-doc positions, at least basic skills for the other one. Experience and interest in dataset construction, especially via crowdsourcing, is a plus. For PhD positions, experience on specific project topics is not required. All researchers are expected to have excellent analysis and abstraction skills, and an interest in working in an interdisciplinary environment. If you think that your background is relevant to the research program of the project (see gboleda.utcompling.com/research-1/projects/amore) and you have good programming and quantitative skills, please do get in touch even if you do not fit the profiles above. RESEARCH ENVIRONMENT Universitat Pompeu Fabra is a small, research-oriented, highly international institution (www.upf.edu), placed 15th worldwide in Times Higher Education ranking "150 under 50". The project will be carried out at the Department of Translation and Language Sciences in the Communication Campus of UPF (www.upf.edu/campus/en/comunicacio), rich in researchers working on Linguistics, Computer Science, and Cognitive Science, and specifically on Computational Linguistics / Natural Language Processing. The AMORE team will strengthen the already strong profile of the university in these areas. Barcelona is a unique city, with a Mediterranean and cosmopolitan culture, and very livable (www.upf.edu/barcelona/en). DATES AND APPLICATION PhD positions start October 2017; earlier starting date possible, as a research assistant. Post-doc positions available starting February 1st 2017, and open until filled. Applications including a letter of motivation (at most 1 page) explaining why you are interested in this position and how your profile fits the project, CV, and the names and e-mail addresses of two referees should be sent as a single PDF file to Gemma Boleda (gemma DOT boleda AT upf DOT edu). Shortlisted candidates will be asked for written samples and interviewed. We aim at building a diverse team; all applications are welcome, especially those of female researchers and members of other underrepresented collectives. -- Gemma Boleda http://gboleda.utcompling.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Mon Nov 14 09:33:42 2016 From: dengdehao at gmail.com (Teng Teck Hou) Date: Mon, 14 Nov 2016 22:33:42 +0800 Subject: Connectionists: [EAIS 2017] Call for Papers Message-ID: <005101d23e84$1a2d7e80$4e887b80$@gmail.com> [Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) May 31- June 2, 2017, Ljubljana, Slovenia http://msc.fe.uni-lj.si/eais2017/ ################################################## The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at the crossroads of different cultures, geographical regions, and historical developments. Compared to other capitals, Ljubljana is very small, very green, and very walking-friendly town, which makes it a great place to explore on foot. It is in the center of Slovenia and enables exploring some of the most popular tourist sights of Slovenia in one day. Visit enchanting Bled, with its medieval castle perched upon the lake, explore mysterious Predjama castle and end the trip by visiting Postojna cave, Slovenia's number 1 attraction. EAIS 2017 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams. EAIS 2017 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. The conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and Natal (Brasil). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). During EAIS 2017 the results of the new IEEE SMC Society sponsored competition on Autonomous Learning Machines (ALMA) will be announced. ##############################Important Dates############################## * Paper Submission December 24, 2016 * Paper Decision Notification February 24, 2017 * Camera-Ready Submission March 24, 2017 * Authors registration March 24, 2017 * Conference May 31 - June 2, 2017 ########################################################################### ##########################Keynote Speakers########################## * Plamen Angelov, Professor, Lancaster University, United Kingdom * Fernando Gomide, Professor, University of Campinas, Brazil * Nikola Kasabov, Professor of Computer Sience, Auckland University of Technology, New Zealand #################################################################### ##########################Accepted Special Sessions########################## 1. Computational Intelligence in Control of Power Generating Systems, Transmission and Load Management, Session proposer: Horst Schulte, HTW Berlin Email: Horst.Schulte at HTW-Berlin.de ############################################################################ # ############Paper Submission and Publication############ * Papers for EAIS 2017 should be submitted electronically through the Conference website at http://msc.fe.uni-lj.si/eais2017. * Submitted papers will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. ######################################################## ######################################################## IEEE Autonomous Learning Machines Competition ALMA Competition is organized by IEEE SMC Society. The goal of this competition is to increase the level of autonomy of the learning algorithms. Competition Tracks: 1. New data sets and streams that are suitable demonstrators for the topic of the competition. 2. New methods and algorithms for Autonomous Machine Learning in: . Clustering . Classification . Control . Prediction Awards: Track 1 - $1000 Track 2 - $1000 in each category ($4000). Important Dates: 31 January, 2017. Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia). May 31- June 2, 2017. Results will be announced during the conference EAIS 2017. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * Honorary Chairs Plamen Angelov, UK Dimitar Filev, USA Nikola Kasabov, New Zealand * Conference Chair Igor ?krjanc, chair, Slovenia Sa?o Bla?ic, co-chair, Slovenia * Publication Chairs Edwin Lughofer, Austria Sa?o Bla?ic, Slovenia * Local Arrangement Chairs Dejan Dov?an, Slovenia Milan Simcic, Slovenia * Web & Publicity Chair Jos? A. Iglesias, Spain Teck-Hou Teng, Singapore * Special Session Chair: Radu-Emil Precup, Romania * Program Committee Chair: Igor ?krjanc, Slovenia * International Program Committe Cesare Alippi, Italy Plamen Angelov, UK Rosangela Ballini, Brazil Rashmi Dutta Baruah, India Abdelhamid Bouchachia, UK Jorge Cassillas, Spain Bruno Costa, Brazil Dejan Dov?an, Slovenia Alain Droniou, France Dimitar Filev, USA Nadine Gaertner, Germany Joao Gama, Portugal Fernando Gomide, Brazil Jose Antonio Iglesias Mart?nez, Spain Lazaros Iliadis, Greece Nik Kasabov, New Zealand Ju? Kocijan, Slovenia Ana Kosareva, Germany Rudolf Kruse, Germany Agapito Ledezma, Spain Daniel Furtado Leite, Brazil Andre Lemos, Brazil Chin Teng Lin, Taiwan Edwin Lughofer, Austria Yannis Manolopoulos, Greece Trevor Martin, UK Moamar Sayed Mouchaweh, France Veronika Nesheva, UK Seiichi Ozawa, Japan Witold Pedrycz, Canada Radu-Emil Precup, Romania Jose de Jesus Rubio, Mexico Araceli Sanchis de Miguel, Spain Horst Schulte, Germany Olga Senyukova, Russia Teck Hou Teng, Singapore Marley Vellasco, Brazil Di Wang, UAE Wilson Wang, Canada Ronald Yager, USA ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Laboratory of Modeling, Simulation and Control, University of Ljubljana * Laboratory of Autonomous Mobile Systems, University of Ljubljana ########################################################################## -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Tue Nov 15 02:04:49 2016 From: m.biehl at rug.nl (Michael Biehl) Date: Tue, 15 Nov 2016 08:04:49 +0100 Subject: Connectionists: Deadline extension: Special Session at ESANN 2017 Message-ID: *Deadline extension: Special Session at ESANN 2017* "Biomedical data analysis in translational research: integration of expert knowledge and interpretable models" *ESANN 2017,* *26-28 April 2017*, *Bruges (Belgium) * 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning *Session organizers* *Gyan Bhanot (Rutgers University, New Jersey, USA)* *Michael Biehl (University of Groningen, The Netherlands)* *Thomas Villmann (Univ. of Applied Sciences Mittweida, Germany)* *Dietlind Z?hlke (Seven Principles, Germany)* *Paper submission deadline : 26 November 2016* New technologies in various fields of biomedical research have led to a dramatic increase of the amount of electronic data that is available. Not only is the number of patients or amount of disease specific data increasing, but so is the structural complexity of the data, in terms of its dimensionality, multi-modality and inhomogeneity. A significant problem, recognized by both the bio-medical and computational community, is the lack of coordination among researchers in these disparate communities. On the one hand, integration of expert knowledge is instrumental for successful data analysis and modelling. On the other hand, methods and models should be transparent and interpretable in order to facilitate fruitful trans-disciplinary collaboration. This special session is meant to attract researchers who develop, investigate, or apply methods of machine learning and statistics in biomedical data analysis, experts from knowledge representation and integration as well as bio-medical researchers with a strong interest in computation and interpretable models. Topics include, but are not restricted to: ? Structured, inhomogeneous and multi-modal biomedical data ? Feature selection and identification of biomarkers ? Interpretable systems for diagnosis and classification ? Generative models of bio-medical processes ? Visual analytics and data mining ? Big data mining for clinical impact *Submission:* Submitted papers will be reviewed according to the ESANN reviewing process and evaluated based on their scientific value: originality, technical correctness, and clarity. For further information, see the conference web pages. *Important dates:* *Paper submission deadline : 26 November 2016* Notification of acceptance : 31 January 2017 ESANN conference : 26-28 April 2017 -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Cangelosi at plymouth.ac.uk Tue Nov 15 05:31:16 2016 From: A.Cangelosi at plymouth.ac.uk (Angelo Cangelosi) Date: Tue, 15 Nov 2016 10:31:16 +0000 Subject: Connectionists: Lecturer/ Associate Professor in Computer Science (Robotics, Neural Systems, Machine Learning), Plymouth University UK Message-ID: <7CC9E5A2-B1C2-4789-BF75-694F2FD299ED@plymouth.ac.uk> Plymouth University has an opening in Computer Science, with specific interest in cognitive robotics, computational neuroscience and machine learning. Lecturer/ Associate Professor (Senior Lecturer) in Computer Science University of Plymouth - School of Computing, Electronics and Mathematics Location: Plymouth Salary: ?32,958 to ?55,998 PA Hours: Full Time Contract Type: Permanent Closes: 11th December 2016 Job Ref: A5114 The School of Computing, Electronics and Mathematics within the Faculty of Science and Engineering at Plymouth University is seeking applicants for the above post to replace a retirement. A successful applicant is expected to be able to contribute to teaching across the computer science curriculum with initial teaching duties in OO software development, design patterns and Java. Applicants should also be aligned with one or more of the school's research groups; the Centre for Robotics and Neural Systems (CRNS), the Centre for Security, Communications and Network Research (CSCAN) or the newly established Big Data and Machine Learning research group. This post targets candidates with an interest in building an international research track record in terms of publishing in international fora, securing external research funding and contributing to the supervision of PhD students as well as Masters and undergraduate students. Applicants are expected to teach basic and advanced computer science modules and to make an active and tangible contribution to programme development and student recruitment across the suite of computing undergraduate and postgraduate courses. Applicants should hold a PhD in a relevant discipline and demonstrate an established REF-level research track-record appropriate to the role. Applicants should ideally have experience in teaching undergraduate and/or postgraduate students and in supervising undergraduate/masters/doctoral students. Candidates applying for the Associate Professor (Senior Lecturer) level are expected either to have experience in leadership of computer science programmes and/or in the leading of a research group with track record of external funding. Feel free to contact Professor Angelo Cangelosi for informal discussion on this job opening: acangelosi at plymouth.acuk Further information about the school is available at www.plymouth.ac.uk/compmath This is a full-time post working 37 hours per week on a permanent basis. University of Plymouth is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s career in STEMM academia. University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016. See here for more details: http://www.jobs.ac.uk/job/AVL853/lecturer-associate-professor-senior-lecturer-in-computer-science/ ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From xfern at eecs.oregonstate.edu Tue Nov 15 13:14:25 2016 From: xfern at eecs.oregonstate.edu (Fern, Xiaoli) Date: Tue, 15 Nov 2016 10:14:25 -0800 Subject: Connectionists: CS tenure-track position at Oregon State University Message-ID: <08c701d23f6c$19b7cee0$4d276ca0$@eecs.oregonstate.edu> School of Electrical Engineering and Computer Science at Oregon State University invites applications for one or more full-time tenure-track and/or tenured faculty positions in Computer Science to begin Fall 2017. Areas of focus include AI and Machine Learning, Systems and Security, Databases, Software Engineering, and Programming Languages. We are particularly interested in applicants who can contribute to the College of Engineering's signature research areas: precision health, clean energy, resilient infrastructure, and advanced manufacturing. Candidates should hold a Ph.D. in computer science or a closely related discipline by the start date of employment. Appointment is anticipated at the Assistant Professor rank, but candidates with exceptional qualifications may be considered for appointment at the rank of Associate Professor or Professor. Applicants should demonstrate a strong commitment and capacity to initiate new funded research as well as to expand, complement, and collaborate with existing research programs in the OSU College of Engineering and beyond. Further, applicants should demonstrate a strong commitment to graduate and undergraduate teaching, including developing new courses related to their research expertise. Oregon State is located in Corvallis, at the heart of Oregon's Willamette Valley. Surrounded by forests and mountains, Corvallis combines the amenities of a college town with ample opportunity for outdoor recreation and fresh local food. Portland, the Cascade mountain range, and the Oregon Coast are all within easy reach. To review the posting and apply, go to : http://jobs.oregonstate.edu/postings/33880 Applications should include the following documents: A letter of interest; vita; a two-page statement of research interests; a one-page statement of teaching interests; a one-page statement on past efforts and future plans to promote equity and inclusion; and names and contact information for at least three references. To be assured full consideration, applications should be received by December 31, 2016. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nzhang at udc.edu Tue Nov 15 13:32:42 2016 From: nzhang at udc.edu (Zhang, Nian) Date: Tue, 15 Nov 2016 13:32:42 -0500 Subject: Connectionists: ICIST 2017 (Da Nang, Vietnam, April 16-19, 2017) Deadline Extension Until Nov. 25, 2016! Message-ID: <32596A4A154B2442BF6312975C518D00048B8BAD0806@UDCMSGSTAFF-M.firebirds.udc.edu> Call for Papers The Seventh International Conference on Information Science and Technology (ICIST 2017), Da Nang, Vietnam, April 16-19, 2017 http://conference.cs.cityu.edu.hk/icist/ IMPORTANT: The paper submission deadline has been extended by 10 days - to Friday November 25, 2016! The Seventh International Conference on Information Science and Technology (ICIST 2017) will be held in Da Nang, Vietnam during April 16-19, 2017, following the successes of previous events. Located at the central Vietnam, Da Nang is a popular beach resort and the second largest seaport in Vietnam, with three UNESCO heritage sites (Hu?, H?i An, and M? S?n) nearby. ICIST 2017 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and will be submitted for EI indexing. Important Dates Paper submission deadline (updated): November 25, 2016 Notification of acceptance: December 15, 2016 Camera-ready copy and author registration: January 15, 2017 Conference: April 16-19, 2017 Contact: Dr. Nian Ashlee Zhang, Publications Chair of ICIST2017, nzhang at udc.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Tue Nov 15 19:35:55 2016 From: dengdehao at gmail.com (Teng Teck Hou) Date: Wed, 16 Nov 2016 08:35:55 +0800 Subject: Connectionists: [IJCNN 2017] Submission deadline is extended to Thursday, 1st December 2359 hr (UTC-8 hr) Message-ID: <007501d23fa1$652e66b0$2f8b3410$@gmail.com> [Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission December 1, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Bj?rn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * P?ter ?rdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASJagath at ntu.edu.sg Wed Nov 16 03:46:38 2016 From: ASJagath at ntu.edu.sg (Jagath C Rajapakse (Prof)) Date: Wed, 16 Nov 2016 08:46:38 +0000 Subject: Connectionists: Postdoctoral positions in computational and systems biology Message-ID: <988D29D7-3056-4D3A-8E99-A34BD2D44F33@ntu.edu.sg> Two postdoctoral positions are available in a project investigating missing and spurious links and labels of molecular networks. The project will begin in January 2017 and is led by Professor Jagath Rajapakse in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore (www.ntu.edu.sg). Protein interaction networks (PIN) are widely used in inferring disease mechanisms and in drug discovery. Missing and spurious links and labels of PIN is a challenge and undermine the applications of PIN. The aim of this project is to develop computational techniques and tools for the prediction of missing and spurious links and labels by mapping the hierarchical modularity of protein interaction networks and gene ontology. Methods will be applied for inferring disease mechanisms in leprosy, psoriasis, and cancer. Postdoc 1 will research on various models of protein interaction networks and their applications to prioritizing nodes and links, predicting missing and spurious links, and extracting network modules, protein complexes, and biological pathways. A potential candidate will have background and experience machine learning and network analysis. Postdoc 2: will investigate the hierarchical organization of protein interaction networks and gene ontology, and mapping the two hierarchies to find missing labels in protein interaction networks. The candidate will also research on mapping disease networks to protein interaction networks in order to predict disease related pathways and protein complexes. A potential candidate will have experience in machine learning, ontologies, or text mining. For postdoctoral positions, PhD in a related field is required. Knowledge of python or R would be an advantage. For more details and applications, please send your curriculum vitae to Professor Jagath Rajapakse (asjagath at ntu.edu.sg). ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From florian at coneural.org Wed Nov 16 12:56:57 2016 From: florian at coneural.org (R. Valentin Florian) Date: Wed, 16 Nov 2016 19:56:57 +0200 Subject: Connectionists: Grants for independent young scientists - Romanian Institute of Science and Technology Message-ID: <2d411521-e9ed-c9c2-bf40-b00d71bca753@coneural.org> An HTML attachment was scrubbed... URL: From sliman.bensmaia at gmail.com Wed Nov 16 23:58:29 2016 From: sliman.bensmaia at gmail.com (Sliman Bensmaia) Date: Thu, 17 Nov 2016 04:58:29 +0000 Subject: Connectionists: Graduate Training in Neuroscience at the University of Chicago Message-ID: Apply for graduate training in neuroscience at the University of Chicago , where a large neuroscience faculty provides stimulating research opportunities at levels ranging from genes and molecules to computation and human behavior, in laboratories distributed across eight departments in the biological, social and physical sciences. Applications for entry in the Fall of 2017 are now being accepted, with a deadline of December 1, 2016. Graduate training is organized into three programs with different emphases. For information about each program and how to apply, follow the links: - The Program in Neurobiology covers a broad spectrum of subfields, including molecular and developmental neurobiology, cellular and synaptic electrophysiology and imaging, and the neurobiology of disease. - The Program in Computational Neuroscience emphasizes quantitative approaches to experimental neuroscience, including mathematical methods and computational modeling of the nervous system. - The Integrative Neuroscience Program focuses on the biological basis of complex behaviors. If you're intelligent, hard working, and ambitious, come join us at the University of Chicago, and help us figure out how the nervous system works! Sliman Bensmaia and Xiaoxi Zhuang Chairs of the Admissions Committee for the Neuroscience Cluster at the University of Chicago -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203 -------------- next part -------------- An HTML attachment was scrubbed... URL: From boracchi at elet.polimi.it Wed Nov 16 17:36:45 2016 From: boracchi at elet.polimi.it (Giacomo Boracchi) Date: Wed, 16 Nov 2016 23:36:45 +0100 Subject: Connectionists: "Concept Drift, Domain Adaptation & Learning in Dynamic Environments", deadline extended till December 1st Message-ID: CALL FOR PAPERS Special Session on "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" will be held within the INNS-IEEE IJCNN 2017, Anchorage Alaska in May, 14-19 2017. http://home.deib.polimi.it/boracchi/events/ijcnn2017_SS/index.html http://www.ijcnn.org/ ********************************************************** Important Announcement ********************************************************** The paper submission deadline of our special session is extended, like IJCNN, till Thursday, 1st December 2359 hr (UTC-8 hr) ********************************************************** IMPORTANT DATES Paper submission: December 1st, 2359 hr (UTC-8 hr) Paper Decision notification: January 20th, 2017 Camera-ready submission: February 20th, 2017 Conference Dates: May 14 - 19th, 2017 *********************************************************** One of the fundamental goals in computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one. This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community. *Topics* Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics: . Methodologies/algorithms/techniques for learning in dynamic/non-stationary environments . Incremental learning, lifelong learning, cumulative learning . Domain adaptation and covariate-shift adaptation . Semi-supervised learning methods for nonstationary environments . Ensemble methods for learning in nonstationary environments . Learning under concept drift and class imbalance . Learning recurrent concepts . Change-detection and anomaly-detection algorithms . Information-mining algorithms in nonstationary datastreams . Cognitive-inspired approaches for adaptation and learning . Applications that call for learning in dynamic/non-stationary environments, or change/anomaly detection, such as o adaptive classifiers for concept drift o adaptive/Intelligent systems o fraud detection o fault detection and diagnosis o network-intrusion detection and security o intelligent sensor networks o time series analysis . Benchmarks/standards for evaluating algorithms learning in non-stationary/dynamic environments *Keywords* Concept drift, nonstationary environment, change/anomaly detection, domain adaptation, incremental learning, data streams. *Paper Submission* THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2017, November 15th 2017. All the submissions will be peer-reviewed with the same criteria used for other contributed papers. Perspective authors will submit their papers through the IJCNN 2017 conference submission system at http://www.ijcnn.org/ Please make sure to select the Special Session nr 9 "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list; Templates and instruction for authors will be provided on the IJCNN webpage http://www.ijcnn.org/ All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the IEEE Conference Proceedings . Further information about IJCNN 2017 can be found at http://www.ijcnn.org/ For any question you may have about the Special Session or paper submission, feel free to contact Giacomo Boracchi *********************************************************** Special Session on "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" @ IEEE IJCNN 2017 *Organizes* . Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) . Robi Polikar (Rowan University, Glassboro, NJ, USA) . Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) . Gregory Ditzler, (University of Arizona, AZ, USA) *TPC* . Alfred Bifet, University of Waikato, New Zealand . Gianluca Bontempi, Universit? Libre de Bruxelles, Belgium . Giovanni Da San Martino, Qatar Computing Research Institute . Barbara Hammer, Bielefeld University, Germany . Georg Krempl, University Magdeburg, Germany . Ludmilla Kuncheva, University of Bangor, Wales, UK . Vincent Lemaire, Orange Labs, France . Leandro L. Minku, University of Leicester, England, UK . Russel Pears, Auckland University of Technology, New Zealan . Leszek Rutkowski, Czestochowa University of Technology, Poland . Shiliang Sun, East China Normal University, China . Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brasil ********************************************************** -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/ -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro at idsia.ch Thu Nov 17 04:41:46 2016 From: alessandro at idsia.ch (Alessandro Antonucci) Date: Thu, 17 Nov 2016 10:41:46 +0100 Subject: Connectionists: [ECSQARU 2017] First Call for Papers Message-ID: The Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty FIRST CALL FOR PAPERS http://ecsqaru.idsia.ch The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), and Compi?gne (2015). ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth International Symposium on Imprecise Probability: Theories and Applications. The joint event will be held in Lugano (Switzerland), on July 10-14, 2017. ::: SCOPE ::: For ECSQARU 2017 we invite submissions of conference papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief revision & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: INVITED SPEAKERS ::: We are delighted of having the following invited speakers: - Leila Amgoud (IRIT, France) - Alessio Benavoli (IDSIA, Switzerland) - Jim Berger (Duke University, USA) - Didier Dubois (IRIT, France) - Eyke H?llermeier (Paderborn University, Germany) ::: PROCEEDINGS AND SUBMISSIONS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2015 will be published in the Springer Lecture Notes in Artificial Intelligence series. Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Authors of accepted papers are expected to attend the conference to present their work. The instructions for submission and the author kit are available here: http://ecsqaru.idsia.ch/submissions-ecsqaru/ ::: IMPORTANT DATES ::: - Tuesday, February 21, 2017: Paper submission deadline - Tuesday, April 18, 2017: Author notification - Friday, April 28, 2017: Camera-ready copy due ::: IJAR SPECIAL ISSUE ::: Authors of selected papers will be invited to submit an extended version of their work to a special issue of the International Journal of Approximate Reasoning (IJAR, Elsevier). ::: SPRINGER YOUNG RESEARCHER AWARD ::: 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 (not necessarily as first authors) to ECSQARU 2017. Applications should be received by the paper submission deadline (February 21, 2017). _________________________________ 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 julien.mayor at psykologi.uio.no Thu Nov 17 08:24:42 2016 From: julien.mayor at psykologi.uio.no (Julien Mayor) Date: Thu, 17 Nov 2016 13:24:42 +0000 Subject: Connectionists: Reminder: Post-Doctoral Research Fellowship in Developmental Psychology Message-ID: <74b490b6b29a4ffaafb357d6e824b0d6@mail-ex11.exprod.uio.no> ***Reminder: Post-Doctoral Research Fellowship in Developmental Psychology*** Dear colleagues, A 3- to 4-year Post-Doctoral position is available at the Department of Psychology of the University of Oslo. The Post-Doctoral fellow will work on a project aiming at uncovering learning mechanisms underlying infant speech perception, word learning and phoneme acquisition, via the creation of computational models, as well as their validations using eye-tracking experiments. For more details about the project and how to apply, please consult: http://uio.easycruit.com/vacancy/1718497/65775?iso=no Further enquiries can be made directly to: julien.mayor at psykologi.uio.no . Please note the tight deadline, on November 30th, 2016. Kind regards, julien From Jakob.Macke at caesar.de Thu Nov 17 08:18:59 2016 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Thu, 17 Nov 2016 13:18:59 +0000 Subject: Connectionists: International Max Planck Research School for Brain and Behavior Message-ID: <9706385F-58BF-45B9-B72A-160343506249@caesar.de> Fully-funded PhD Positions in Neuroscience at International Max Planck Research School for Brain and Behavior Application Deadline: December 1, 2016 The International Max Planck Research School (IMPRS) for Brain and Behavior research programs address how sensory information is encoded in neural circuits and is transformed ultimately to behavior. This research ranges from understanding molecular signaling cascades in spines during learning to understanding how sensory and motor circuits are activated in the awake behaving animal. The IMPRS for Brain and Behavior is the first IMPRS to unite Max Planck Institutes on both sides of the Atlantic, and their university partners: research center caesar, an associate of the Max Planck Society and University of Bonn in Germany - Max Planck Florida Institute of Neuroscience and Florida Atlantic University in the United States. This transatlantic partnership maximizes the benefits for students in the program by having them directly involved in the outstanding research programs established at the two Max Planck Society run institutes and their partner universities. The International Max Planck Research School for Brain and Behavior offers a structured, 3-year multidisciplinary doctoral training and research program in the neurosciences. Our students can earn either a PhD or Dr. rer. nat. degree. Our mission is to equip students graduating from this school with an exceptional level of knowledge and skills that will form the basis of a successful career in neuroscience. The curriculum comprises of both theoretical and hands-on training in advanced neuroscience techniques. Students take courses and attend scientific symposia at the partner institutions in Bonn, Germany and Florida, USA, with expenses covered? thereby exposing students to an exceptionally broad group of international scientists. IMPRS for Brain and Behavior aims to recruit highly qualified and motivated doctoral students from all nationalities and immerse them in a stimulating scientific culture of interaction and cooperation. Exceptional candidates holding a Master's degree in biology, chemistry, physics, mathematics, computer science, engineering, or other relevant subject are encouraged to join us. Application deadline is December 1. For further information please contact: Denise Butler, Coordinator, phone: +49(0)228 / 9656-318, imprs.info at caesar.de. Please see details on our website: www.imprs-brain-behavior.mpg.de 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From JAPlatt at northwell.edu Thu Nov 17 11:33:27 2016 From: JAPlatt at northwell.edu (Platt, Jo Ann) Date: Thu, 17 Nov 2016 11:33:27 -0500 Subject: Connectionists: Hiring Interviews at NIPS Barcelona - NEURAL DATA ANALYTICS - Post Docs, Staff Scientists, & Electrical Engineers Message-ID: <48943594-08E1-4653-B0BE-358F6A6CB790@NSHS.edu> Bioelectronic Medicine is the new frontier of medicine - challenging and changing the way we diagnose, manage, and treat disease. Today's discoveries and devices are successfully replacing drugs. We aim to treat bleeding, cancer, diabetes, lupus, obesity, paralysis, rheumatoid arthritis, sepsis, and many other diseases and conditions. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at Neural Information Processing Systems (NIPS) for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt at northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Thu Nov 17 16:23:25 2016 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Thu, 17 Nov 2016 21:23:25 +0000 Subject: Connectionists: ESANN 2017 deadline extension Message-ID: ====================================================== ESANN 2017 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) - April 26-27-28, 2017 http://www.esann.org/ *** Submission deadline extension *** ====================================================== Due to numerous requests, the deadline to submit papers to the ESANN 2017 conference has been extended to November 26, 2016. Please note that no further extension will be given. Looking forward to seeing you at ESANN 2017, The organizing committee. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From alb.mazzoni at gmail.com Fri Nov 18 04:14:52 2016 From: alb.mazzoni at gmail.com (Alberto Mazzoni) Date: Fri, 18 Nov 2016 10:14:52 +0100 Subject: Connectionists: Workshop on Tactile coding and neuroprostheses - Pontedera (Pisa), Italy - Dec 1-2 2016 Message-ID: Workshop announcement (apologies for cross-postings) *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Syst?mes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni at sssup.it )* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / ?cole polytechnique f?d?rale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)?Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tdh at cs.au.dk Fri Nov 18 07:31:19 2016 From: tdh at cs.au.dk (Thomas Dueholm Hansen) Date: Fri, 18 Nov 2016 12:31:19 +0000 Subject: Connectionists: Assistant/associate/full professor positions at Aarhus University Message-ID: <1479472279691.76038@cs.au.dk> The Department of Computer Science at Aarhus University wishes to establish a research group on machine learning. A position as tenure-track assistant professor or associate professor is therefore available starting summer 2017. The application deadline is January 15th, 2017. Another position as full professor is available as soon as possible. In this case the application deadline is December 5th, 2016. The department currently has research groups within "Algorithms and Data Structures", "Data-Intensive Systems", "Cryptography and Security", "Mathematical Computer Science", "Logic and Semantics", "Ubiquitous Computing and Interaction", "Computer-Mediated Activity", "Use, Design and Innovation", and "Programming Languages". Additional details and instructions on how to apply are found at: http://bit.ly/2fqtxT1 (assistant or associate professor) http://bit.ly/2fRs3zE? (full professor) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mccallum at cs.umass.edu Fri Nov 18 10:19:11 2016 From: mccallum at cs.umass.edu (Andrew McCallum) Date: Fri, 18 Nov 2016 10:19:11 -0500 Subject: Connectionists: Faculty positions at UMass Amherst: junior & senior openings in data science Message-ID: UMass Amherst Computer Science is hiring faculty in data science broadly this year and for multiple years to come---at both the junior and senior levels. Review of applications this season is continuing according to the typical CS timing: peaking in December and early January, with interviews starting in late January or early February. 5 openings in data science this year; 12+ openings over the coming several years; (there are additional faculty openings in other areas this year, as well). I am chairing data science faculty recruiting. I would be happy to receive email and answer questions. https://www.cics.umass.edu/job/assistantassociate-professor-positions-data-science Please forward this message to anyone who might be interested. Best, Andrew McCallum Professor; Director, Center for Data Science College of Information and Computer Sciences UMass Amherst =============================================================== data science, broadly: machine learning & decision-making, broadly systems & scalable data management, broadly theory & algorithms for big data, broadly ...non-exclusive list of examples: Methods: algorithms for big data artificial intelligence & ML with big data databases decision processes and reinforcement learning deep learning distributed systems game theory, mechanism design learning theory optimization parallel-distributed machine learning probabilistic programming scalable probabilistic inference statistical machine learning visualization, interpretable ML, and data exploration Modalities: crowd sourcing and human computation images & video information integration natural language processing sensor networks and wearable sensors social networks and computational social science Applications: agriculture, climate, ecology and sustainability computational economics computational biology & bio-medicine education eGovernment energy eScience finance health analytics internet of things manufacturing cities & regions =============================================================== Our Department has become a College and we are dramatically growing our current set of ~50 faculty. UMass CS is highly ranked in AI, exceptionally collaborative, and has long-standing broad interests touching many areas of data science. Selected current faculty include: * Justin Domke (ML & optimization) * Sunghoon Ivan Lee (mobile & personalized health) * Phillipa Gill (networking & security) * Akshay Krishnamurthy (statistical machine learning) * Arya Mazumdar (information theory) * Joydeep Biswas (robotics) * Subhransu Maji (computer vision & ML) * Brendan O'Connor (NLP and computational social science) * Barna Saha (algorithms & data management) * Alexandra Meliou (databases, analytics & causality) * Yuriy Brun (software engineering & analytics) * Dan Sheldon (computational ecology & ML) * Evangelos Kalogerakis (graphics & ML) * Ben Marlin (ML, health analytics) * Deepak Ganesan (sensor and mobile networks, wearable health) * Yanlei Diao (databases) * Gerome Miklau (databases & privacy) * Andrew McGregor (algorithms) * Rui Wang (graphics) * Erik Learned-Miller (computer vision & ML) * David Jensen (data mining & causality) * Andrew McCallum (information extraction & ML) * Brian Levine (security) * Sridhar Mahadevan (ML, RL & manifolds) * Prashant Shenoy (distributed systems, cloud computing) * Ramesh Sitaraman (theory & parallel/distributed systems) * Shlomo Zilberstein (AI) * James Allan (information retrieval) * Beverly Woolf (intelligent tutoring systems) * Rod Grupen (robotics) * Jim Kurose (networking, on leave as head of NSF CISE) * Neil Immerman (complexity theory) * Bruce Croft (information retrieval) * Don Towsley (networking) =============================================================== The College of Information and Computer Sciences at the University of Massachusetts Amherst invites applications for multiple tenure-track faculty positions in Computer Science for the 2017-2018 academic year. Applicants must have a Ph.D. in Computer Science or a related area, and should show evidence of exceptional research promise. Multiple openings are available for Assistant and Associate level Professors in the broad field of Data Science. One position in particular, at the Assistant Professor level, will focus on the subarea of Systems for Data Science. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration for these openings. Our college is highly supportive of junior faculty, providing both formal and informal mentoring. Many of our faculty are involved in interdisciplinary research, working closely with other departments including statistics/mathematics, linguistics, electrical and industrial engineering, biology, physics, behavioral sciences, economics, political science, and nursing, as well as new green initiatives. Amherst, a historic New England town, is the center of a vibrant and culturally rich area that includes five colleges. For more information about our college, visit https://cics.umass.edu. All applicants should submit a cover letter, curriculum vitae, research statement, and statement of teaching interests. Applicants at the Assistant Professor level should submit the names and contact information for three references and links to two papers that best represent their research/experience, using the submission link specific to the position. Applicants at the Associate Professor level should submit the names and contact information for four references and links to three papers that best represent their research/experience, using the submission link specific to the position. https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75312 (Assistant Professor Data Science) https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75213 (Associate Professor Data Science) https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75221 (Assistant Professor Data Science Systems) Review of applications for the general Data Science openings will begin on October 17, 2016. Review of applications for the Data Science Systems opening will begin on December 15, 2016. We will continue to accept and review applications for all positions through the spring. Rank and salary will be highly competitive and commensurate with qualifications and experience. Inquiries and requests for more information can be sent to: facrec at cs.umass.edu. The university is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career. From pstone at cs.utexas.edu Fri Nov 18 11:54:43 2016 From: pstone at cs.utexas.edu (Peter Stone) Date: Fri, 18 Nov 2016 10:54:43 -0600 Subject: Connectionists: Postdoc opportunity - UT Austin In-Reply-To: <97876.1470621206@skipper.cs.utexas.edu> References: <97876.1470621206@skipper.cs.utexas.edu> Message-ID: <15104.1479488083@messi.cs.utexas.edu> [Apologies if you receive this multiple times] DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA POSITION: Post-doctoral fellow on multi-robot learning for long-term autonomy CONTACTS: Prof. Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-1757 USA Austin, Texas 78712-0233 U.S.A. pstone at cs.utexas.edu http://www.cs.utexas.edu/~pstone Applications are invited for a postdoctoral fellow position of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone (http://www.cs.utexas.edu/~pstone). The research will be related to multi-robot systems (including ad hoc teamwork) and reinforcement learning for long-term robot autonomy. There will be significant room for the successful candidate to shape the direction of focus. QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience in multiagent systems or intelligent robotics is essential. Experience in reinforcement learning, machine learning more broadly, Robot Operating System (ROS), and/or ad hoc teamwork is preferable. TO APPLY: Applicants should send by email to pstone at cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found This position is open to be filled immediately. Applications will be reviewed as they are received. ___ Professor Peter Stone David Bruton, Jr. Centennial Professor University Distinguished Teaching Professor Associate Chair Department of Computer Science phone: 512-471-9796 The University of Texas at Austin fax: 512-471-8885 2317 Speedway, Stop D9500 pstone at cs.utexas.edu Austin, Texas 78712-1757 USA http://www.cs.utexas.edu/~pstone From roman.bauer111 at gmail.com Sat Nov 19 03:38:00 2016 From: roman.bauer111 at gmail.com (roman bauer) Date: Sat, 19 Nov 2016 08:38:00 +0000 Subject: Connectionists: Call for Registration: Computational Neurology 2017. Newcastle upon Tyne, UK In-Reply-To: References: Message-ID: Dear all, We are pleased to announce that the registration for the Computational Neurology Conference in Newcastle upon Tyne, UK has opened. *Please register here:* https://conferences.ncl.ac.uk/compneurology/registration/ - Registration is free and includes lunch/coffee breaks on both days - Speakers are not required to register *Registration deadline:* February 5, 2017 *List of confirmed speakers:* - Javier Escudero - Edinburgh - Marc Goodfellow - Exeter - Andrew Jackson - Newcastle - Viktor Jirsa ? Marseille - Marcus Kaiser - Newcastle - Dimitri Kullmann ? University College London - Marco Manca - CERN - Florian Mormann - Bonn - Matthew Nolan ? Edinburgh - Gregory Scott - Imperial College London - Evelyne Sernagor - Newcastle - Peter Uhlhaas ? Glasgow Additionally, there will be multiple mini-talks from selected poster presenters. More information on the conference can be found at the dedicated website: https://conferences.ncl.ac.uk/compneurology/ Thanks and we look forward to seeing you in Newcastle upon Tyne! On behalf of the organizers: Roman Bauer, Anupam Hazra, Luis Peraza Rodriguez, Peter Taylor, Yujiang Wang -- Roman Bauer, Ph.D. MRC Research Fellow Institute of Neuroscience Newcastle University Newcastle upon Tyne NE1 7RU, UK tel: +44 (0) 191 208 8933 <+44%20(0)%20191%20208%208933> -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Sat Nov 19 13:47:53 2016 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Sat, 19 Nov 2016 19:47:53 +0100 Subject: Connectionists: First CfP: 4th International Synthetic & Systems Biology Summer School - SSBSS 2017 - July 17-21, 2017 - University of Cambridge, Robinson College, UK Message-ID: 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/ ssbss.school at gmail.com https://www.facebook.com/ssbss.school/ * 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! * The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Robinson College - University of Cambridge - UK on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment. DEADLINES: Application: March 31, 2017 Notification Acceptance: April 10, 2017 Oral Presentation/Poster Submission: March 31, 2017 Notification of Decision for Oral/Poster Presentation: April 10, 2017 http://www.taosciences.it/ssbss/#application-form 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 * Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK SCHOOL DIRECTORS: * Massimo Gulisano, University of Catania, Italy * Giuseppe Nicosia, University of Catania, Italy * Steve G. Oliver, University of Cambridge, UK See you in Cambridge in July! The SSBSS 2017 Organizing Committee. ssbss.school at gmail.com http://www.taosciences.it/ssbss/ 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/ * Apologies for multiple copies. Please forward to anybody who might be interested * -- 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 Workshop on Machine learning, Optimization & big Data - MOD 2017 September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy modworkshop2017 at gmail.com ================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.westermann at lancaster.ac.uk Mon Nov 21 06:15:58 2016 From: g.westermann at lancaster.ac.uk (Westermann, Gert) Date: Mon, 21 Nov 2016 11:15:58 +0000 Subject: Connectionists: 5 PhD studentships in interdisciplinary infancy research at Lancaster University, UK for entry in October 2017 Message-ID: <0741C8F4-65BA-4ACE-B7EE-AE6726B40C13@lancaster.ac.uk> ** Apologies for cross-posting ** PhD studentships in infancy research at Lancaster University, UK 5 PhD studentships in interdisciplinary infancy research for entry in October 2017 See www.lancaster.ac.uk/leverhulme-dsp (Note: This programme takes a cognitive science approach to infant development, and computational modelling is explicitly part of the research methods.) Deadline for applications: 15 February, 2017 Lancaster University, one of the top 10 universities in the United Kingdom, has one of the largest infancy research groups in Europe. Here, we study cognitive, language, social and emotional development in populations ranging from foetuses to pre-school children with a large range of methods (e.g., eye tracking, EEG, computational modelling, NIRS, 4D ultrasound). We are now inviting applications for five fully funded PhD scholarships for entry in October 2017. Four of the scholarships will cover UK/EU fees, and the fifth will additionally cover the higher overseas (international) fees. All scholarships provide a living stipend (currently ?14,296) and an exceptionally generous training and research allowance for three years. These scholarships are funded through the Leverhulme Trust Doctoral Scholarship Programme in Interdisciplinary Research on Infant Development, which will provide a total of 22 PhD studentships over six years. 2017 is the third year of this programme. The Programme is based in the Psychology Department of Lancaster University (UK; see http://www.lancaster.ac.uk/psychology/ ). Links with other departments in the University (Linguistics, Computer Science, Mathematics and Statistics) exist and will be further developed. The studentships will have a strong interdisciplinary focus with the expectation to employ multiple methodologies. HOW TO APPLY Applicants should have an excellent undergraduate, and normally Masters degree, in Psychology or a related discipline. Before sending your application you must contact an individual staff member to discuss your specific interests and to develop a 1500-word research proposal as part of your application (see http://wp.lancs.ac.uk/leverhulme-dsp/academic-staff/ for staff research interests). Your application should identify your planned supervisor and (potentially) co-supervisor. You should apply online to the University through the usual route http://www.lancaster.ac.uk/study/postgraduate/ for a PhD in Psychology by the deadline of 15 February, 2017. In the application, please state clearly that you are applying for the Leverhulme Trust Doctoral Scholarship Programme. You must ensure that references have been provided by the deadline (otherwise the application may not be considered). After the deadline, applications will be reviewed. Shortlisted candidates will be invited for interview before award decisions are made. For more details see http://wp.lancs.ac.uk/leverhulme-dsp/apply/ . For further information concerning the studentships, please contact Prof. Gert Westermann (g.westermann at lancaster.ac.uk), and about postgraduate study more generally, please contact the Department of Psychology postgraduate office (postgraduate.psychology at lancaster.ac.uk). See the Lancaster Leverhulme Scholarship Programme website http://www.lancs.ac.uk/leverhulme-dsp/ for more information. Further information about PhD study at Lancaster can be found here: www.psych.lancs.ac.uk/postgraduate/phd/. -------------------------------------------------------------------------- Prof. Gert Westermann Department of Psychology Lancaster University Lancaster LA1 4YF Phone: +44 (0)1524 592 942 g.westermann at lancaster.ac.uk http://www.lancaster.ac.uk/psychology/people/gert-westermann New book: Harris & Westermann: A Student?s Guide to Developmental Psychology. Psychology Press. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bremeseiro at udc.es Mon Nov 21 08:52:36 2016 From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=) Date: Mon, 21 Nov 2016 14:52:36 +0100 (CET) Subject: Connectionists: =?utf-8?q?Open_Postdoctoral_fellowship/s_in_the_D?= =?utf-8?q?ept=2E_de_Matem=C3=A0tiques_i_Inform=C3=A0tica_at_Universitat_d?= =?utf-8?q?e_Barcelona?= In-Reply-To: <1780098536.395083.1479736292273.JavaMail.zimbra@udc.es> Message-ID: <1425784272.395455.1479736356559.JavaMail.zimbra@udc.es> Open Postdoctoral fellowship/s in the Dept. de Matem?tiques i Inform?tica at Universitat de Barcelona The Dept. de Matem?tiques i Inform?tica (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 Pin?s (BP) 2016 fellowship so as to conduct a two-year postdoc at Universitat de Barcelona. The purpose of the Beatriu de Pin?s 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 Deadline: 01/12/2016 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 -- Beatriz Remeseiro, Ph.D. email: bremeseiro(at)udc.es url: http://www.varpa.org/~bearm -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre-yves.oudeyer at inria.fr Mon Nov 21 12:48:37 2016 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Mon, 21 Nov 2016 18:48:37 +0100 Subject: Connectionists: CALL FOR PAPERS : IEEE IJCNN 2017 Special Session on COGNITION AND DEVELOPMENT Message-ID: =========================== CALL FOR PAPERS ============================ IEEE IJCNN 2017 Special Session on COGNITION AND DEVELOPMENT May 14-19, 2017, Anchorage, Alaska, USA. sites.google.com/site/ijcnnsscognitiondevelopment Important Dates (same as main conference look on the website for updates): Paper submission EXTENDED: December 1, 2016 Paper decision notification: January 20, 2017 Camera-ready submission: February 20, 2017 Notes: Dates are the same as main conference, please check the IJCNN website for updates: www.ijcnn.org All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the conference proceedings. Templates and instruction for authors are provided on the IJCNN submission webpage http://www.ijcnn.org/paper-submission Please make sure to select the Special Session "Cognition and Development" (under "S. SPECIAL SESSION TOPICS") as the "Main Research topic" of your submission. Aim and Scope The special session aims at the presentation of the latest models and results in the investigation of developmental issues in cognitive development and their application to computational and robotics models. In particular it encourages submissions on neural computation and cognitive robotics models of sensorimotor, cognitive and social development inspired by our understanding of human development, or used to improve this understanding in interaction with psychology and neuroscience. These include evolutionary and developmental models of the origins of intrinsic motivation, perceptual and motor development, social learning and interaction, imitation, acquisition of communicative and linguistic skills, and reasoning. Scientific challenges addressed by these models include: What are the mechanisms that allow a child (and a robot) to develop autonomously cognitive capabilities? How does the social and physical environment, with which the child interacts, shape and scaffold the child?s developing cognitive skills and knowledge? What are the constraints and the cognitive primitives that are needed to bootstrap development? What do qualitative stages during development, and body and brain maturational changes, tell us about the mechanisms and principles supporting development? The special session also encourages submissions from the empirical developmental science disciplines, such as child psychology, developmental linguistics and neuroscience, and interdisciplinary approaches to cognition and development. List of Main Topics * Developmental robotics * Epigenetic robotics * Neuro-robotics * Bio-inspired and cognitive robotics * Cognitive modelling * Intrinsic motivation * Sensorimotor development * Cognitive development * Social development * Language acquisition Organizers: Alessandro Di Nuovo, Sheffield Hallam University, UK Pierre-Yves Oudeyer, INRIA, Bordeaux, France Angelo Cangelosi, University of Plymouth, UK From erzsebet at rice.edu Mon Nov 21 13:42:48 2016 From: erzsebet at rice.edu (=?UTF-8?B?RXJ6c8OpYmV0IE1lcsOpbnlp?=) Date: Mon, 21 Nov 2016 12:42:48 -0600 Subject: Connectionists: IEEE SSCI 2016 Athens, Greece - Special session "Mining the Sky ..." on Thu, Dec 8 Message-ID: Dear Colleagues, If you plan to be at IEEE SSCI 2016, Athens, Greece, Dec 6-9, we invite you to stop by at special session *?Mining the sky: knowledge discovery in big and complex astronomical data sets and data streams?* 10:00 - 12:00, Thursday, Dec 8, Royal Olympic Hotel Room 4B. Please see details in the attached flyer. If you do not plan to attend the whole SSCI conference, one-day on-site registration (to SSCI) is available. See the SSCI web site http://ssci2016.cs.surrey.ac.uk/ . Sincerely, Erzs?bet Mer?nyi, Rice University, Houston, TX U.S.A. George Djorgovski, Caltech, Pasadena, CA U.S.A. Kai Polsterer, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany special session organizers Location: Royal Olympic HotelRoom 4B -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer_SSCI-SpecialSession-MiningTheSky_08Dec2016.pdf Type: application/pdf Size: 1337428 bytes Desc: not available URL: From mpavone at dmi.unict.it Mon Nov 21 16:13:21 2016 From: mpavone at dmi.unict.it (Mario Pavone) Date: Mon, 21 Nov 2016 22:13:21 +0100 Subject: Connectionists: first CfP: Special session on AIS @ CEC 2017 Message-ID: <20161121221321.Horde.GRSKM_ph4B9YM2NxnhqmMoA@mbox.dmi.unict.it> * Apologies if you received multiple copies * Please kindly forward to those who may be interested. CALL FOR PAPERS Artificial Immune Systems: Algorithms, Simulation, Modelling & Theory IEEE CEC 2017 Special Session June 20-23, 2017, Donostia - San Sebasti?n, Spain http://ieee-cis-ais.org/ais-cec2017/ ais.cec2017 at gmail.com *** SUBMISSION deadline: January 16, 2017 The Immune System protects organisms against diseases, and over the years has been an important source of inspiration for the development of algorithms to be applied in a wide range of applications, such as learning, pattern recognition, optimisation and classification. Many of these algorithms are built on solid theoretical foundations, through understanding mathematical models and computational simulation of aspects of the immune system. The scope of this research area ranges from modelling to simulation of the immune system, to the development of novel engineering solutions to complex problems, and bridges several disciplines to provide new insights into immunology, computer science, mathematics and engineering. This special session aims to focus on the recent advances on Artificial Immune Systems (AIS) field, also offering new conceptual models for understanding the dynamics that underlie the immune system. This special session is supported by IEEE CIS Task Force on Artificial Immune Systems (http://ieee-cis-ais.org). Topics of interest include, but are not limited to: - Computational & Mathematical modelling of the Immune System; - Theoretical aspects of immune inspired algorithms; - Novel algorithms and new immune operators; - Benchmarking immune inspired algorithms against other techniques; - Empirical and Theoretical investigations into performance and complexity of immune inspired algorithms; - Hybridisation of immune inspired algorithms with other techniques; - Systems & Synthetic Immunology. All the papers have to be submitted electronically through the congress application. The deadline for contribution paper submission is *January 16, 2017*. Authors are invited to submit original and unpublished papers on any topics related to AIS. * IMPORTANT DATES: paper submission: January 16, 2017 notification of acceptance: February 26, 2017 final paper submission: March 12, 2017 Conference dates: June 5-8, 2017 * PAPER SUBMISSION: Manuscripts should be prepared according to the standard format and page limit of regular papers specified in CEC 2017 webpage (http://www.cec2017.org), and submitted via the official submission system. Special session papers are treated the same way as regular conference papers. Please specify that your paper is for the special session on AIS: Algorithms, Simulation, Modelling & Theory. All accepted papers will be published in the CEC electronic proceedings and included in the IEEE Xplore digital library, and indexed by EI Compendex. * ORGANIZERS: Thomas Jansen, Aberystwyth University, UK Mario Pavone, University of Catania, Italy Jon Timmis, University of York, UK -- Dr. Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383038 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ ====================================================== From mtista at gmail.com Tue Nov 22 08:34:12 2016 From: mtista at gmail.com (Massimo Tistarelli) Date: Tue, 22 Nov 2016 14:34:12 +0100 Subject: Connectionists: Advanced Call for Applications: 14th Int.l Summer School on Biometrics 2017 In-Reply-To: <3d96e154-9830-c952-78bc-49dab9dd9137@uniss.it> References: <3d96e154-9830-c952-78bc-49dab9dd9137@uniss.it> Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *14^th IAPR*/IEEE* Int.l Summer School for Advanced Studies on**** Biometrics for Secure Authentication:*** *BIOMETRICS FOR PERSONALIZATION AND FORENSIC IDENTIFICATION* *Alghero,****Italy - June, 12-16 2017* *Technical co-sponsorship approval pending Contact: tista at uniss.ithttp://biometrics.uniss.it *APPLICATION DEADLINE:* February 15th 2017 (download the application form at: http://biometrics.uniss.it) _**_ From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Other applications, such as personalization of services, mobile computing and criminal investigations, are among the most promising applications. Machine learning, Image understanding, Signal analysis, Neuroscience, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. *For the last fourteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? How can biometrics provide means for efficient and automatic personalization of services? What can we learn from human perception? What does it involve to integrate a biometric recognition system? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 14^th edition, the courses will mainly focus on new and emerging issues:** ?*How Biometrics will drive the automatic personalization of services;* ?*How to exploit new biometric technologies in forensic and security applications;* ?*Standardization, evaluation and assessment of biometric and forensic applications.* ?*Biometrics, Forensic identification and advanced research: What is next?* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. *An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies.* *_Participant application_* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,500 ? for Phd students and 2,000 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to members of the EU H2020 IDENTITY consortium, and active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site */http://biometrics.uniss.it/*. Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available to all participants to display their current research advances. Send a filled application form (download from http://biometrics.uniss.it)//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com**__* *_Advance pre-registration is strictly required by February 15^th _**_2017_* *_School location_* The school will be hosted by HotelEl Faro(*/http://www.elfarohotel.it//*) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *_School Committee:_*** *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratori ? Michigan State University, USA ** *_Distinguished lecturers from past school editions _* *Josef **Bigun* Halmstad University ? Sweden** *Aldo Mattei* Arma dei Carabinieri ? Italy** *Thirimachos Bourlai* West Virginia University ? USA *David Meuwly* Netherlands Forensic Institute ? NL** *Vincent Bouatou* Safran Morpho ? France *Emilio Mordini MD* Responsible Technologies ? Italy** *Deepak Chandra * Google Inc. ? USA** *Mark Nixon* University of Southampton ? UK** *Rama Chellappa* University of Maryland ? USA** *Alice O?Toole* University of Texas ? USA** *Farzin Deravi* University of Kent ? UK** *Maja Pantic* Imperial College ? UK** *Andrzej Drygajlo* EPFL ? Switzerland *Jonhaton Phillips* NIST ? USA** *James Haxby* Dartmouth University ? USA** *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA** *Tieniu Tan * CASIA-NLPR ? China** *Joseph Kittler* University of Surrey ? UK** *Massimo Tistarelli* Universit? di Sassari ? Italy** *Davide Maltoni* Universit? di Bologna ? Italy** *Alessandro Verri* Universit? di Genova ? Italy** *John Mason* Swansea University? UK** *James Wayman* University of San Jos? ? USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From danko.nikolic at googlemail.com Tue Nov 22 23:21:12 2016 From: danko.nikolic at googlemail.com (Danko Nikolic) Date: Wed, 23 Nov 2016 05:21:12 +0100 Subject: Connectionists: practopoiesis, empirical predictions Message-ID: <2bad3fd2-5a33-b70d-4cb4-34b542f2088c@gmail.com> For those interested in practopoiesis: A paper recently came out on the empirical predictions for testing the theory of practopoiesis. One critique of the theory was that it did not have testable empirical predictions. Now, this has changed in a significant way. I wrote a long paper specifying a number of non-trival predictions that can test whether the theory of practopoiesis is sustainable or not. The paper is published as a chapter in a book on the topic of closed loop experimentation: ***Nikolic D. (2016) Testing the theory of practopoiesis using closed loops. In:**Closed Loop Neuroscience **. Ed. Ahmed El Hady. Academic Press.* Anyone is welcome to run those experiments. And you can also expect from me help in designing those experiments. Notably, I think that these predictions can be also used as an inspiration for creating interesting computational models of the dynamics of the nervous system -- especially to address challenges of the relationship between the brain and mind. The theory and the suggested experiments propose a new set of ideas on how the brain creates global workspace, attention, working memory, how it perceives, etc. There is a rich set of unanswered modeling questions and challenges. One key point of the theory is that computational models of the brain would need to implement closed loop interactions with the environment of the organism, and that only then can the models capture brain dynamics correctly. This way, the approach proposed by practopoiesis is closely related to the work of J.J. Gibson and "4E cognition", and departs from the traditional representational view of the brain. I was happy to see that the original paper on practopoiesis was sitting for many months on top of the list of most read articles at JTB. Thanks everyone for the interest. And of course, please feel free to drop comments or ask questions. Best, Danko ---------------------------- Prof. Dr. Danko Nikoli? Web: http://www.danko-nikolic.com ---------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From tt at cs.dal.ca Tue Nov 22 17:08:05 2016 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Tue, 22 Nov 2016 18:08:05 -0400 Subject: Connectionists: Tenure stream professorship (assistant or associate level) Message-ID: Dear colleagues, Sorry for the late notice, but we have an opening for a tenure stream position at Dalhousie University in computer science with focus on machine learning with deadline Dec 15. Please check out https://www.dal.ca/content/dam/dalhousie/pdf/faculty/computerscience/temp/position_computer_vision_search.pdf Halifax is the largest city on the Canadian east coast and a great place to live. Don't hesitate to contact me if you have any questions. Cheers, Thomas ---------------- Dr. Thomas Trappenberg Faculty of Computer Science Dalhousie University Halifax, NS Canada -------------- next part -------------- An HTML attachment was scrubbed... URL: From malin.sandstrom at incf.org Wed Nov 23 07:15:23 2016 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Wed, 23 Nov 2016 13:15:23 +0100 Subject: Connectionists: Closing soon: call for seed funding applications for projects or travel, deadline November 30 Message-ID: Dear all, INCF* invites applications for seed funding of collaborative projects related to brain research. The deadline for submission is no later than *November 30, 2016*. Projects must be completed within 2017. 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.There are two types of funding available, project 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 17 INCF network 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 neuroinformatics training or education as a lecturer or participant (but not general attendance at scientific meetings) *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 - organisation and hosting of a scientific workshop - 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; hosting of a workshop to explore and develop an area; or development of education and training content. The leader of a funded proposal must be based in one of the 17 countries in the INCF network. 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 must be completed within 2017. More information and FAQ: https://www.incf.org/resources/funding-support *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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From acanet at cvc.uab.es Wed Nov 23 06:55:05 2016 From: acanet at cvc.uab.es (Alexandra Canet) Date: Wed, 23 Nov 2016 12:55:05 +0100 (CET) Subject: Connectionists: =?utf-8?q?Deadline_extended_=E2=80=93_6_Post_doc_?= =?utf-8?q?Positions_at_Computer_Vision_Center=2C_Barcelona?= Message-ID: <19959249.144304.1479902105885.open-xchange@srvopenx.cvc.uab.es> The Computer Vision Center (Barcelona) has 6 Open Post Doc positions in Computer Vision within the Cofund - P-SPHERE Program (3 year Fellowships) We are looking to incorporate 1 researcher in each of the Center's excellence areas (6 positions in total): * HUMAN POSE RECOVERY AND BEHAVIOR ANALYSIS * PERCEPTION BASED SELF DRIVING SYSTEM FOR URBAN SCENARIOS * PREDICTING INTRINSIC PROPERTIES FROM IMAGES USING DEEP NETWORKS * SCENE TEXT UNDERSTANDING * INFORMATION EXTRACTION FROM HISTORICAL DOCUMENT IMAGES * DEEP LEARNING FOR MULTI-MODAL DATA REPRESENTATIONS The application deadline has been extended until the 13th of December. Apply online at: About the Fellowship The COFUND programme, which forms part of the Horizon 2020 Marie Sklodowska-Curie Actions programme, aims to motivate regional, national and international programmes which foster excellence in the training, mobility and professional improvement of researchers. With this overall objective, COFUND co-finances initiatives that work towards the incorporation of researchers, with a strong international and intersectoral component. Funding Conditions P-SPHERE fellows will receive a three-year working contract. The position is based in Bellaterra, Barcelona (Spain). Competitive salary package for Post Doc is offered including: - Living allowance of 36.100?/year (gross salary) - Single relocation payment of 3000?. Other funding (not included in the salary) - Research ativities: up to 3.600?/year - Mobility activities: up to 3.600?/year To see the complete funding conditions, please download the guide of applicant . General inquiries at pr.sphere at uab.cat or +34 93 581 49 07 - - Alexandra Canet Communications Officer Computer vision centre acanet at cvc.uab.es + 34 93 581 30 73 Edifici O ? Campus UAB 08193 Bellaterra, Barcelona -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrosenb1 at nd.edu Wed Nov 23 18:46:36 2016 From: rrosenb1 at nd.edu (Robert Rosenbaum) Date: Wed, 23 Nov 2016 18:46:36 -0500 Subject: Connectionists: Abstract Submission Open for ICMNS 2017 - International Conference on Mathematical Neuroscience Message-ID: We are delighted to announce the 3rd International Conference on Mathematical Neuroscience (ICMNS 2017), to be held at the Hotel Boulderado in Boulder, Colorado from May 30 to June 2, 2017. Tutorials will be held May 30, and the main conference is May 31 - June 2. More details are given on the conference website: https://www.math.uh.edu/~zpkilpat/icmns2017/index.html The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. To fulfill this goal, we will hold a tutorial the day before the main meeting. The main conference will feature a broader set of topics in mathematical neuroscience, with a focus on (a) the use of experimental data in modeling studies; (b) theory and models that explore hypotheses and design better experiments; (c) improved methods for analyzing complex data sets; and (d) rigorous mathematical models of neural systems. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by a Program Committee and divided into three parallel talk sessions and a poster session. Details are given here: https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html Student Travel Awards: This year, we will offer student travel awards, due to the generous support from NSF, SIAM, Burroughs Wellcome, and the University of Colorado. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair. The abstract submission deadline is January 31, 2017. Meeting registration will open shortly thereafter. Confirmed Speakers Danielle Bassett (University of Pennsylvania) Paul Bressloff (University of Utah) Nicolas Brunel (University of Chicago) Sophie Deneve (?cole Normale Sup?rieure) Brent Doiron (University of Pittsburgh) Marla Feller (University of California, Berkeley) Ila Fiete (University of Texas) Stefano Fusi (Columbia University) Peter Thomas (Case Western Reserve University) Taro Toyoizumi (Riken Brain Science Institute) Tutorial Speakers: Paul Bressloff, Sophie Deneve, Brent Doiron, Stefano Fusi, Joel Zylberberg (University of Colorado, School of Medicine) Program Committee https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html We hope to see you in Boulder this May! All the best Zachary Kilpatrick (University of Colorado) Julijana Gjorgjieva (Max Planck Institute for Brain Research) Robert Rosenbaum (University of Notre Dame) From cristian.rodriguezrivero at gmail.com Wed Nov 23 12:10:37 2016 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Wed, 23 Nov 2016 14:10:37 -0300 Subject: Connectionists: CFP - Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) IJCNN 2017 Message-ID: Call for papers: special session on "Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF)" at IJCNN 2017 International Joint Conference on Neural Networks (IJCNN 2017). 14-19 May 2017, Anchorage, Alaska, USA - http://www.ijcnn.org/ DESCRIPTION: Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. Scope The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology and Rainfall ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting SUBMISSION: Prospective authors must submit their paper through the IJCNN portal following the instructions provided inhttp://www.ijcnn.org/paper-submission. Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Paper submission: December 1, 2016 Paper decision notification: January 20, 2017 Camera-ready submission: February 20, 2017 All deadlines are US pacific time time, 11:59pm. Notification of acceptance : 20 January 2017 Camera-ready submission: 20 February 2017 The IJCNN 2017 conference : 14-19 May 2017 SPECIAL SESSION ORGANISERS Prof. Dr. Cristian Rodriguez Rivero, Universidad Nacional de C?rdoba, Argentina, crodriguezrivero at ieee.org, IEEE CIS and INNS. Prof. Dr. Hector Daniel Pati?o, Universidad Nacional de San Juan, Argentina, dpatino at inaut.unsj.edu.ar. Prof. Dr. Julian Antonio Pucheta, Universidad Nacional de C?rdoba, Argentina, jpucheta at unc.edu.ar. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentina, juarez.gustavo at ieee.org, IEEE CIS Argentinian Chapter chair. Prof. Dr. Leonardo Franco, IEEE CIS R8, Universidad de M?laga, Espa?a, lfranco at lcc.uma.es Ph.D, Prof. Cristian Rodriguez Rivero Editorial Board of International Journal of Innovative Computing and Applications LA-CIS Board of Directors and Steering Committee (la-cci.org) Neural Networks Technical Committee Member IEEE CIS cis.ieee.org/neural-networks-tc.html Program Committee Members - IJCNN www.ijcnn.org/program-committee Aeronautical University Institute (IUA) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero @ieee.org, crivero at iua.edu.ar TE: +54 0351 4334147 ext. 111 Cel: +54 9 351 2340641 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege. -------------- next part -------------- An HTML attachment was scrubbed... URL: From birgit.ahrens at bcf.uni-freiburg.de Thu Nov 24 03:07:46 2016 From: birgit.ahrens at bcf.uni-freiburg.de (Birgit Ahrens) Date: Thu, 24 Nov 2016 09:07:46 +0100 Subject: Connectionists: =?utf-8?q?PhD_Position_on_=E2=80=9CLocal_Balance_?= =?utf-8?q?in_Neuronal_Networks=22_in_Freiburg=2C_Germany?= Message-ID: <5aea5d0c-d145-18f2-ce21-14d9480e0b85@bcf.uni-freiburg.de> *The Biomicrotechnology Lab of Prof. Ulrich Egert is looking for a PhD student * Research Topic: ?Local Balance in Neuronal Networks" Neuronal networks with inhomogeneous connectivity have been suggested to be more robust against saturation and excessive synchronization in high input regimes. This strongly depends on the specific type of balance of excitation and inhibition as well as the role and effectiveness or long range connectivity. Locally unbalanced networks could contribute to an optimal representation of information in wide range of input regimes, or conversely to pathological network dynamics. In this context, we are interested in the role of inhibition/excitation balance beyond the statistical mean. We expect that local variability, the extent of connectivity and the specific properties of inhibitory/excitatory balance influence the activity structure and robustness of neuronal networks. We test this in synthetic networks of cultured cortical neurons using electrophysiological, optogenetic and computational techniques. This project explores the control of neuronal network states via optogenetic modulation of the excitation/inhibition interaction. Funding: We invite applications to join the lab for a 3-4 year PhD project in neurophysiology within the PhD program ?BrainDisC? at the Bernstein Center Freiburg. The project is financed by a fellowship of the DAAD that can only be awarded to non-German applicants that have not been staying in Germany for more than 15 months at the time of their application. Requirements: The successful applicant has some prior training in experimental neurophysiology, excellent command of the English language, high motivation for independent work, knowledge of some programming language, ideally Matlab or Python, and willingness to contribute to an international team. Experience with cell cultures, network modeling or intracellular recording would be a plus. The Bernstein Center Freiburg: The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application. How to apply: Please apply using our online form at https://yoda.bcf.uni-freiburg.de/ and indicate "Egert" as preferred project. The deadline for applications is January 31, 2017. Further details on: www.bcf.uni-freiburg.de/jobs -- Dr. Birgit Ahrens 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From geazzo at gmail.com Fri Nov 25 03:52:30 2016 From: geazzo at gmail.com (George Azzopardi) Date: Fri, 25 Nov 2016 09:52:30 +0100 Subject: Connectionists: CFP - 2nd International Workshop of Computational Models of the Visual Cortex (CMVC), Hoboken, New Jersey, USA, 15-17 March, 2017 Message-ID: <4F240040-7A2A-4BCE-A3BD-6D7E783DB1C9@um.edu.mt> Dear All, We are pleased to announce The Second International Workshop on Computational Models of the Visual Cortex (CMVC) as part of the BICT (Bio-inspired Information and Communication Technologies) conference, which will be held in Hoboken, New Jersey, 15-17 March (http://bionetics.org/2017/show/home) Background Much has been advanced since the early works of the Nobel prize winners Hubel and Wiesel about the function of neurons in the primary visual cortex of cats? brains. That work has been the source of inspiration of abundant neurophysiological studies to unveil the functionality of neurons in different areas of visual cortex. These experiments resulted in large amounts of data, which could then be used to design computational models to behave similarly to certain neurons in visual cortex. The contribution of such models is two-fold. They contribute to the better understanding of how visual information is processed in the brain, and they also contribute for the development of more robust algorithms in computer vision applications. The aim of this workshop is to bring together recent development of computational modelling of the visual cortex of the brain: Single cell modeling. Hierarchy of visual cortex areas Feedforward, feedback and inhibitory mechanisms. The appearance of neuronal properties: sparsity and selectivity. Circuitry: hierarchical representations and connections between layers. Selecting where to look: saliency and attention. Object recognition Contour detection Stereo Learning Important Dates Full papers due: January 15, 2017 Authors Notified: January 31, 2017 Camera-ready due: February 10, 2017 Paper submission We invite you to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2017/show/cf-calls for more details. Only PDF format is acceptable. Papers must be submitted to EasyChair: https://easychair.org/conferences/?conf=cmvc2017 . For more information about the CMVC workshop please visit: http://cmvc.bionetics.org/2017/show/home Sincerely yours, Antonio Rodriguez-Sanchez , PhD George Azzopardi , PhD Co-chairs of CMVC?2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Thu Nov 24 06:56:38 2016 From: luca.oneto at unige.it (Luca Oneto) Date: Thu, 24 Nov 2016 12:56:38 +0100 Subject: Connectionists: IJCNN 2017 Deadline Extended (1 December 2017) SS Large Datasets and Big Data Analytics LAST CPF Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Large Datasets and Big Data Analytics: Theory, Methods, and Applications" at IJCNN 2017 International Joint Conference on Neural Networks (IJCNN 2017). 14-19 May 2017, Anchorage, Alaska, USA - http://www.ijcnn.org/ DESCRIPTION: The information age brings along an exponentially growing quantity of heterogeneous data from multiple sources in every aspect of our lives: data coming from social networks, internet of things, experiments in biology research and data from transportation systems are only a few examples. Recent trends in the area suggest that in the coming years the exponential data growth will continue, and that there is a strong need to find efficient solutions to deal with aspects such as data wrangling, real-time processing, information extraction and abstract model generation. Large datasets and big data analytics is the area of research focused on collecting, examining and processing large multi-structure, multi-modal, and multi-source datasets in order to discover patterns, correlations and extract information from data. In order to be able to perform such an analysis, conventional technologies and machine learning theory and algorithms are not directly applicable because they are not able to deal efficiently and effectively with such amount of data. Thus, specific techniques have to be developed. The purpose of this special session is to highlight recent advances in the field of large datasets and big data analytics. In particular, this session welcomes contributions toward both the development of new machine learning methods and the improvement of already available tools suited for big data analysis. We also encourage the submission of new theoretical results in the Statistical Learning Theory framework and innovative solutions to real world problems. In particular, topics of interest include, but are not limited to: - Statistical Learning Theory for Large Datasets; - Big Data Technologies; - Learning on data Streams; - Deep Learning for Large Datasets; - Scalable Machine Learning for Structured Data; - Scalable Kernel Methods for Large Datasets; - Recommender Systems for Large Datasets; - Big Data for Smart Cities and Transportation; - Big Social Data Analysis; - Big Data for Cybersecurity; - Big Data in Bioinformatics and Healthcare; - Big Data in the Internet of Things. SUBMISSION: Prospective authors must submit their paper through the IJCNN portal following the instructions provided inhttp://www.ijcnn.org/paper-submission. Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Paper submission deadline : 1 December 2016 Notification of acceptance : 20 January 2017 Camera-ready submission: 20 February 2017 The IJCNN 2017 conference : 14-19 May 2017 SPECIAL SESSION ORGANISERS Luca Oneto University of Genoa (Italy) Nicol? Navarin University of Padua (Italy) Michele Donini Istituto Italiano di Tecnologia (Italy) Fabio Aiolli University of Padua (Italy) Davide Anguita University of Genoa (Italy) ------------------------------------------------------------ ----------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 16145 Genoa ITALY Phone: +39-010-3532192 www.smartlab.ws ------------------------------------------------------------ ----------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From leonel.rozo at iit.it Fri Nov 25 06:27:33 2016 From: leonel.rozo at iit.it (Leonel Rozo) Date: Fri, 25 Nov 2016 12:27:33 +0100 Subject: Connectionists: [journals] Deadline extension - AURO Special Issue on Learning for Human-Robot Collaboration Message-ID: <3aa7b7b6-9c13-b296-f379-d540fb0464c8@iit.it> [Apologies for cross-posting] Dear colleagues, Due to several requests received during the last weeks, we have decided to postpone the deadline of our AURO special issue. Please see the details below. /Autonomous Robots Journal/ Special Issue: *Learning for Human-Robot Collaboration* Extended deadline: _December 31, 2016_ Once isolated behind safety fences, the new emerging generation of robots endowed with more precise and sophisticated sensors, as well as better actuators, are materializing the idea of having robots working alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, and hospitals. In this context, one of the next frontiers is the collaboration between humans and robots, which raises new challenges for robotics. A collaborative robot must be able to assist humans in a large diversity of tasks, understand its collaborator's intentions as well as communicate its own, predict human actions to adapt its behavior accordingly, and decide when it can lead the task or when just follow its human counterpart. All these aspects demand the robot to be endowed with an adaptation capability so that it can satisfactorily collaborate with humans. In this sense, learning is a crucial feature for creating robots that can execute different tasks, and rapidly adapt to its human partner's actions and requirements. The goal of this special issue is to document and highlight recent progress in the use of machine learning for human-robot collaboration tasks. In recent years, various interesting approaches and systems have been proposed that tackle different aspects of human-robot collaboration. This journal special issue will therefore present the state-of-the-art in the field and discuss future challenges and research opportunities. List of topics: Papers addressing one or more of the topics below in the context of human-robot collaboration are of particular interest: * Learning from demonstration * Reinforcement learning * Active learning * Force and impedance control * Physical human-robot interaction * Human-robot coordination * Recognition and prediction of human actions * Reactive and proactive behaviors * Roles allocation * Haptic communication * Cooperative human-human interaction * Human activity understanding * Learning from tactile experiences * Human-robot collaborative tasks in manufacturing Important Dates: * Paper submission deadline: December 31, 2016 * Notification to authors: March 1, 2017 * Final manuscript due: March 16, 2017 * Final decision: April 15, 2017 Guest editors: Heni Ben Amor (hbenamor at asu.edu) - Assistant Professor (Arizona State University) Leonel Rozo (leonel.rozo at iit.it) - Senior postdoctoral fellow (Italian Institute of Technology IIT) Sylvain Calinon (sylvain.calinon at idiap.ch) - Permanent Researcher (IDIAP research institute) Dongheui Lee (dhlee at tum.de) - Assistant Professor (Technical University of Munich) Anca Dragan (anca at berkeley.edu) - Assistant Professor (UC Berkeley) Submission: Papers must be prepared in accordance with AURO guidelines. All papers will be reviewed following the regular reviewing procedure of the journal. -- Leonel Rozo, Senior postdoctoral researcher Advanced Robotics Department Istituto Italiano di Tecnologia (IIT) http://leonelrozo.weebly.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From osporns at indiana.edu Sat Nov 26 16:52:39 2016 From: osporns at indiana.edu (Sporns, Olaf) Date: Sat, 26 Nov 2016 16:52:39 -0500 Subject: Connectionists: Keystone Symposium "Connectomics" Message-ID: *Announcing a Keystone Symposium on "Connectomics"* Scientific Organizers: Olaf Sporns, Danielle Bassett and Jeremy Freeman March 5?8, 2017 Eldorado Hotel & Spa, Santa Fe, New Mexico, USA Program: http://www.keystonesymposia.org/17X2 The emerging field of connectomics comprises extensive efforts to map patterns of brain connectivity, to represent these patterns with the tools of network science, and to explore the relation of brain connectivity and dynamics to behavior and cognition. Importantly, these efforts span multiple scales of brain organization, from synaptic connectivity among individual neurons, to comprehensive maps of circuits, neuronal populations, and projections among brain regions. An integrative multi-scale framework for mapping, analyzing, and modeling connectome data sets is lacking. The proposed Keystone Symposium aims to narrow this important gap, by pursuing the following specific aims: (i) the symposium will foster scientific exchange among otherwise siloed researchers studying connectomes in different organisms at different scales with different measurement techniques; (ii) the symposium will promote approaches that apply across scales, for example by leveraging the tools of network science; (iii) the symposium will emphasize the need to move beyond descriptive accounts of connectomes, to model-based prediction and control; (iv) the symposium will provide a unique opportunity for pre- and postdoctoral trainees to engage with connectomics leaders and present their work. Anticipated outcomes include: (i) a multi-scale framework for description, prediction, and control of connectomes; (ii) innovative computational methods for statistical analysis and modeling of connectome data sets; (iii) new collaborations among participating researchers and trainees. The Symposium will have transformative impact by creating new relationships among investigators and by seeding a new integrative research agenda centered on the structure and dynamics of brain connectivity. -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Nov 25 17:01:42 2016 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 25 Nov 2016 22:01:42 +0000 Subject: Connectionists: CFP: Workshop on Data Mining for Oil & Gas Message-ID: <64a98e5c-3899-6b30-c930-c2c33b623890@isep.ipp.pt> Workshop on Data Mining for Oil & Gas The Westin Galeria Houston, Texas, USA http://dm4og.inesctec.pt **Call for Papers**: The process of exploring and exploiting Oil and Gas (O&G) generates a lot of data that can bring more efficiency to the industry. Although there are several examples of research papers on data mining and soft computing applications in the O&G related sciences, the opportunities for using data mining techniques in the "digital oil-field" remain largely unexplored or uncharted. The significant challenges posed by this complex and economically vital field justify a meeting of data scientists that are willing to share their experience and knowledge. Hosted at SIAM?s International Conference on Data Mining (SDM 2017), this workshop aims at bringing together researchers and practitioners from data science, data mining, forecasting, geophysics, petrochemistry, marine and petroleum geology, applied mathematics, and other disciplines, to explore the utilization of data mining techniques to develop intelligent solutions for O&G related modeling and optimization problems. The **topics of interest** include, but are not limited to: * the accurate positioning of structures (salt and overthrust), * the characterization of laminated sands and shales, * prediction and evaluation of pressure in reservoirs, * fault detection and classification, * facies recognition, * exploration in difficult areas, * accurate depth imaging, * fluid/permeability prediction, * identification and classification of fractures, * uncertainty quantification, * environmental issues. All submitted papers will go through a rigorous double-blind peer review process, and the workshop proceedings will be published in electronic format, with CEUR-WS (indexed by DBLP, as well as Scopus). Submitted papers should have no more than 15 pages, including references. Only original papers, i.e., that have not been published in an earlier workshop or conference, will be accepted. In order to produce the PDF, we provide a LaTex template, and an example with author guidelines, at goo.gl/nom2KL. The manuscripts must be submitted through the DM4OG EasyChair submissions site at https://goo.gl/1kUqXr. **Important Dates** Submission deadline: December 23, 2016 Author Notification: January 25, 2017 SDM Conference: April 27-29, 2017 SDM 2017 homepage: http://www.siam.org/meetings/sdm17/ **Organizing Committee** Al?pio Jorge, University of Porto, Portugal German Larrazabal, Repsol USA, Houston, Texas, USA Pablo Guillen, University of Houston, Texas, USA Rui L. Lopes, INESC TEC, Porto, Portugal **** Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From horacio at njit.edu Sat Nov 26 12:23:47 2016 From: horacio at njit.edu (Horacio G. Rotstein) Date: Sat, 26 Nov 2016 12:23:47 -0500 Subject: Connectionists: PhD positions available in Applied Mathematics and Applied Probability & Statistics at NJIT Message-ID: Dear students and colleagues, The Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT) is inviting candidates to apply to one of our doctoral program tracks: (1) Applied Mathematics or (2) Applied Probability & Statistics. The Department's research focus spans Mathematical Biology, Computational Neuroscience, Wave Propagation, Fluid Dynamics, Materials Science, Scientific Computing, and Applied Probability & Statistics, including Biostatistics. Several projects involve interdisciplinary collaborations with experimental scientists in other institutions both in the US and abroad, including Rutgers University. Teaching and research assistantships are available, and include a full tuition waiver and a competitive stipend. Applications are due December 15, 2016, but this is a soft target date: applications will be accepted and ongoing review will continue until end of January 2017 or until all available positions are filled. For more information, please email us (math at njit.edu, CC to:matveev at njit.edu, rmoore at njit.edu) or visit our websites: * PhD Program Details: http://catalog.njit.edu/graduate/science-liberal-arts/mathem atical-sciences/phd/index.html * PhD Admissions Information: http://catalog.njit.edu/graduate/admissions-financial-support/admissions/ * On-line application portal: http://www.njit.edu/admissions/apply-online.php * Advertisement flyer: http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf * NJIT Department of Math Sciences homepage: http://math.njit.edu Sincerely, -- Admissions Committee, Department of Mathematical Sciences, NJIT -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein Professor Department of Mathematical Sciences New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neuroscience Program Rutgers University (NWK) and Federated Department of Biological Sciences Rutgers / NJIT tel: (1-973) 596-5306 e-mail: horacio at njit.edu horacior at andromeda.rutgers.edu http://web.njit.edu/~horacio -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Sun Nov 27 20:17:35 2016 From: dengdehao at gmail.com (Teng Teck Hou) Date: Mon, 28 Nov 2016 09:17:35 +0800 Subject: Connectionists: [IJCNN 2017] Paper Submissions are due in 4 days, Thursday, 1st Dec 2016 Message-ID: <003d01d24915$34aab7f0$9e0027d0$@gmail.com> [Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## Come and join us for the 30th anniversary of IJCNN, the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors have hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission December 1, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Bj?rn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * P?ter ?rdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Mon Nov 28 07:00:37 2016 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Mon, 28 Nov 2016 13:00:37 +0100 Subject: Connectionists: CfP Human-Agent Interaction Conference HAI 2017 In-Reply-To: <005101d24969$05bd4710$1137d530$@gmail.com> References: <005101d24969$05bd4710$1137d530$@gmail.com> Message-ID: <008301d2496f$08997d40$19cc77c0$@gmail.com> ========================================================================== *** HAI 2017 Call for Papers *** The Fifth International Conference on Human-Agent Interaction (HAI 2017) Bielefeld, Germany ~ 17 - 20 October 2017 http://hai-conference.net/hai2017/ Submission Site: http://precisionconference.com/~hai/ ========================================================================== HAI 2017 is the 5th annual International Conference on Human-Agent Interaction. It aims to be the premier interdisciplinary venue for discussing and disseminating state-of-the-art research and results that have implications across conventional interaction boundaries including robots, software agents and digitally-mediated human-human communication. The theme for HAI 2017 is "How autonomy shapes interaction". During the last decade a large body of research has been devoted on increasing the interaction quality with artificial agents. This has now reached a quite convincing level for focused application scenarios. However, with robots and agents entering our everyday lives such scenarios will require more initiative and flexibility from the agent, i.e. more autonomy. Such autonomous behavior means, on the other hand, that the interaction will become less predictable. This may become problematic given the strong research focus on statistical behavior models that focus on observable behavior based on rather shallow structures. These models may not be able to capture the underlying interaction structure in less restricted scenarios. We thus need a better understanding and model of the underlying interaction principles that not only takes situational and task aspects into account but also includes detailed user models. Therefore, a stronger research focus is needed to better understand the underlying principles of interaction between autonomous agents, leading to better and deeper models of interaction. We thus encourage contributions that try to tackle this question by focusing on more realistic and life-like scenarios. The conference seeks contributions from a broad range of fields spanning engineering, computer science, psychology and sociology, and will cover diverse topics, including: human-robot interaction, affective computing, computer-supported collaborative work, gaming and serious games, artificial intelligence, and more. Topics of interest include, but are not limited to, - designs and studies of Human-Agent Interaction, including quantitative and qualitative results - theoretical models of Human-Agent Interaction - technological advances in Human-Agent Interaction - impacts of embodiment (e.g., physical vs digital, human vs animal-like) - experimental methods for Human-Agent Interaction - character and avatar design in video games - agents in social network This includes more targeted results that have implications to the broader human-agent interaction community: - human-robot interaction - human-virtual agent interaction - interaction with smart homes and smart cars - distributed groupware where people have remote embodiments and representations - and more! Full papers, posters, late-breaking results, tutorial/workshop overviews will be archived in the ACM Digital Library. *** Important Dates *** ----------------------- * Full Paper Submission * (4-8 pages) 14 May 2017: Deadline for submission of full papers 08 July 2017: Notification of acceptance of full papers 04 August 2017: Final camera-ready papers due * Tutorial/Workshop Proposal Submission * 14 May 2017: Deadline for submission of proposals 08 June 2017: Notification of acceptance of proposals 04 August 2017: Final camera-ready Workshop papers due * Poster and Late-breaking Submission * (2-4 pages) 23 July 2017: Deadline for submission of posters 30 July 2017: Notification of acceptance of posters 04 August 2017: Final camera-ready papers due *** Submission and Reviewing *** -------------------------------- HAI 2017 will accept ONLY online submission of PDF files in the ACM SIGCHI format (http://www.sigchi.org/publications/chipubform). ACM copyright area should be left blank. Please visit the submission page http://hai-conference.net/hai2017/submission for more details on preparations for paper submission. All submitted paper will be reviewed by at least three reviewers and will receive a meta review for quality assurance. Papers will be evaluated on the basis of research originality, excellence, significance and relevance to HAI. We also invite position papers, preliminary (but high impact) studies, and concept papers. *** Organising Committee *** ---------------------------- * Honorary Chair: Gerhard Sagerer, Bielefeld University, Germany * General Co-Chairs: Britta Wrede, Bielefeld University, Germany Yukie Nagai Osaka University, Japan * Local Chairs Lars Schillingmann, Bielefeld University, Germany Andreas Kipp, Bielefeld University, Germany * Financial Chair Franz Kummert, Bielefeld University, Germany * Program Chairs Takanori Komatsu, Meiji University, Japan Marc Hanheide, University of Lincoln, United Kingdom Lorenzo Natale, Italian Institute of Technology, Italy * Publication Chair Patrick Holthaus, Bielefeld University, Germany * Poster Chair Andreas Kipp, Bielefeld University, Germany * Publicity Chairs Kazunori Terada, Gifu University, Japan Alessandra Sciutti, Italian Institute of Technology, Italy * Workshop Chair Kirsten Bergmann, Bielefeld University, Germany * Sponsorship Chair Sebastian Wrede, Bielefeld University, Germany * Registration Chair Birte Carlmeyer, Bielefeld University, Germany * Web Chair Lars Schillingmann, Bielefeld University, Germany ========================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From metzner at rob.uni-luebeck.de Mon Nov 28 08:36:12 2016 From: metzner at rob.uni-luebeck.de (Christoph Metzner) Date: Mon, 28 Nov 2016 13:36:12 +0000 Subject: Connectionists: PhD position in non-invasive brain stimulation at University of Luebeck Message-ID: Sent on behalf of Dr. Elinor Tzvi-Minker The Neurology department of the University of L?beck offers a PhD position (65% E13 TV-L) starting on January 1 st , 2017 or later. The candidate will be working on a project using combined non-invasive brain stimulation (tDCS) and MR-imaging to study dynamics of neural connectivity underlying motor skill learning. We offer The department of Neurology is part of the Center for Brain, Behavior and Metabolism (CBBM), which offers an excellent and state-of the-art research environment. The research group ?Cognitive Neuroscience? (headed by Prof. Ulrike Kr?mer) is working on different topics related to cognitive and affective control (anger and aggression, response inhibition, regulation of eating behavior) and motor control. In addition, our researchers use diverse and complex methods to analyze brain-behavior relationships. Thus, we offer an excellent environment for interdisciplinary research. In addition, the group has a number of national and international collaborations. We require The successful candidate will hold an MSc/MA/Dipl. in Biomedical Engineering, Psychology or related fields (cognitive science, biology, medicine, neuroscience or other). Experience in acquisition and analysis of human neuroimaging data (fMRI, EEG, MEG or NIRS) and Programming skills in Matlab (or equivalent) is preferred. Interest and/or experience in the field of cognitive neuroscience are obligatory. We are looking for a motivated, analytic and problem-solving oriented candidate who enjoys interdisciplinary challenges. The candidate will work in the ?Cognitive Neuroscience Group? headed by Prof. Dr. Ulrike M. Kr?mer under the supervision of Dr. Elinor Tzvi-Minker. Applicants with disabilities are preferred if qualification is equal. The University of L?beck is an equal opportunity employer, aiming to increase the proportion of women in science. Applications by women are particularly welcome. For questions about the details of the assignment please contact Dr. Elinor Tzvi-Minker (elinor.tzvi at neuro.uni-luebeck.de). Please send your application (Letter of motivation, CV, two recommendation letters, relevant certificates) as one single complete PDF file to the Email-address mentioned above. Applications will be considered until the position has been filled. -- *Dr. Christoph Metzner, Dipl.-Math., B.Sc.* Wissenschaftlicher Mitarbeiter des Institutes f?r Robotik und Kognitive Systeme [image: logo-uni-email] *Universit?t zu L?beck* *Institut f?r Robotik und Kognitive Systeme* Tel +49 451 500 5694 <%2B49%20451%20500%201234> Fax +49 451 500 5202 <%2B49%20451%20500%201235> E-Mail metzner at rob.uni-luebeck.de www.rob.uni-luebeck.de Ratzeburger Allee 160 23562 L?beck -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 7100 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Mon Nov 28 10:08:26 2016 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 28 Nov 2016 10:08:26 -0500 Subject: Connectionists: NEURAL NETWORKS, Dec. 2016 Message-ID: <151b0b6b-f60a-e3e6-b5b4-4cca36a3a472@cse.ohio-state.edu> Neural Networks - Volume 84, December 2016 http://www.journals.elsevier.com/neural-networks Emergence of low noise frustrated states in E/I balanced neural networks I. Recio, J.J. Torres Model-based reinforcement learning with dimension reduction Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning Stefan Elfwing, Eiji Uchibe, Kenji Doya Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning A.N. Gorban, E.M. Mirkes, A. Zinovyev Semi-supervised learning for ordinal Kernel Discriminant Analysis M. Perez-Ortiz, P.A. Gutierrez, M. Carbonero-Ruz, C. Hervas-Martinez A Self-Organizing Incremental Neural Network based on local distribution learning Youlu Xing, Xiaofeng Shi, Furao Shen, Ke Zhou, Jinxi Zhao Mean-square exponential input-to-state stability of delayed Cohen-Grossberg neural networks with Markovian switching based on vector Lyapunov functions Zhihong Li, Lei Liu, Quanxin Zhu H_infinity state estimation for memristive neural networks with time-varying delays: The discrete-time case Sanbo Ding, Zhanshan Wang, Jidong Wang, Huaguang Zhang Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control Zhenyuan Guo, Shaofu Yang, Jun Wang Delay-distribution-dependent H_infinity state estimation for delayed neural networks with (x, v)-dependent noises and fading channels Li Sheng, Zidong Wang, Engang Tian, Fuad E. Alsaadi A neurodynamic approach to convex optimization problems with general constraint Sitian Qin, Yadong Liu, Xiaoping Xue, Fuqiang Wang Multistability of complex-valued neural networks with discontinuous activation functions Jinling Liang, Weiqiang Gong, Tingwen Huang New results on exponential synchronization of memristor-based neural networks with discontinuous neuron activations Abdujelil Abdurahman, Haijun Jiang Coexistence and local mu-stability of multiple equilibrium points for memristive neural networks with nonmonotonic piecewise linear activation functions and unbounded time-varying delays Xiaobing Nie, Wei Xing Zheng, Jinde Cao Adaptive PID control based on orthogonal endocrine neural networks Miroslav B. Milovanovic, Dragan S. Antic, Marko T. Milojkovic, Sasa S. Nikolic, Stanisa Lj. Peric, Miodrag D. Spasic From tarek.besold at googlemail.com Mon Nov 28 10:50:23 2016 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Mon, 28 Nov 2016 16:50:23 +0100 Subject: Connectionists: =?iso-8859-1?q?Interdisciplinary_College_2017=3A_?= =?iso-8859-1?q?=22Creativity_and_Intelligence_in_Brains_and_Machin?= =?iso-8859-1?q?es=3A_From_Individuals_to_Societies=22_/_March_10-1?= =?iso-8859-1?q?7=2C_2017_/_G=FCnne_at_Lake_M=F6hne=2C_Germany?= Message-ID: <010301d2498f$21c78300$65568900$@gmail.com> INTERDISCIPLINARY COLLEGE 2017: ?Creativity and Intelligence in Brains and Machines: From Individuals to Societies? (March 10-17, 2017 @ G?nne am M?hnesee, Germany) == WEBSITE == http://www.interdisciplinary-college.de == CHAIRS == Luc Steels (Universitat Pompeu Fabra, Barcelona, Spain) Dieter Jaeger (Emory University, Atlanta, USA) Tarek R. Besold (University of Bremen, Bremen, Germany) == THE INTERDISCIPLINARY COLLEGE == The Interdisciplinary College (IK) is an annual, intense one-week spring school which offers a dense state-of-the-art course program in neurobiology, neural computation, cognitive science/psychology, artificial intelligence, machine learning, robotics and philosophy. It is aimed at students, postgraduates and researchers from academia and industry. By combining humanities, science and technology, the IK endeavors to intensify dialogue between the various disciplines. Participants come mainly - but not exclusively - from European countries, lecturers from all over the world. Courses include up-to-date introductions to the main fields of the IK, as well as an in-depth treatment of the focus topic, which is changing from year to year. The IK is also a unique social event. In the long evenings, participants enjoy a very special atmosphere: minds meet, music is played, and friends are made in the welcoming conference site at Lake M?hne. == FOCUS TOPIC 2017: CREATIVITY AND INTELLIGENCE == The focus topic of the IK 2017 directs the attention to creativity and intelligence as prototypically human characteristics and capacities, investigating their role and importance for the individual but also for society as a whole. Over the last years creativity has become the focus of numerous research projects and entire disciplines, ranging from investigations into the neural foundations of human creativity to Computational Creativity as attempted ?computerization? of creative processes (or parts thereof). Creativity is usually conceptualized as sharing a close connection with intelligence, for instance in that the latter often is taken as a precondition of creativity. But creativity also is a necessarily social phenomenon: While creativity often starts out on an individual basis, and creative acts are ultimately implemented by individuals, society very often enables creativity to happen either in making creative individuals collaborate, or in emergently giving rise to a genuinely collective creative process. Language serves as connecting thread between the topics creativity, intelligence, the individual, and society. Creativity and intelligence often manifest in language, and individuals and society rely on (different forms of) language as indispensable medium of communication. Correspondingly, the IK 2017 will consider the mentioned topics from different theoretical as well as applied perspectives, offering courses clustered into four interwoven blocks: - Creativity - Neuroscience ? From Data to Theory and Back - Language - The Social == COURSE & FACULTY OVERVIEW == http://www.interdisciplinary-college.de -- Digital Media Lab Center for Computing and Communication Technologies (TZI) University of Bremen Email: Tarek.Besold at uni-bremen.de Web: http://sites.google.com/site/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dreher at isc.cnrs.fr Mon Nov 28 11:09:05 2016 From: dreher at isc.cnrs.fr (Jean-Claude DREHER) Date: Mon, 28 Nov 2016 17:09:05 +0100 Subject: Connectionists: post-doc position in Neuroeconomics (Lyon, France) Message-ID: <8ed69533-5fbd-0750-2223-6f868aa95328@isc.cnrs.fr> Laboratory of Neuroeconomics, Reward and Decision making, Institute of Cognitive Neuroscience, Lyon, France http://dreherteam.cnc.isc.cnrs.fr/en/ Applications are invited for a postdoctoral position to study neuroeconomics, decision making, motivation and reward processing using model-based fMRI in healthy subjects and intra-cranial recordings in patients with epilepsy. The Institute of Cognitive Neuroscience is located in Lyon, a thriving university city. The institute hosts an interdisciplinary community with access to several brain imaging facilities, such as one research-dedicated Siemens scanner, one MEG, one simultaneous TEP-fMRI, EEG, TMS and other useful resources. The current project seeks a better understanding of the neurocomputational basis of social decision-making in humans. We will adopt a combination of interdisciplinary perspective, combining Bayesian models and behavioural experiments in humans to investigate the mechanisms of decision making processes in social context. Our main hypothesis is that when we are in an interactive social setting, our brain performs Bayesian inferences using probabilistic representations of other individuals? intentions and cooperativeness. The project will be supervised by Dr. Jean-Claude Dreher. Funding is available for an initial period of 2 years, up to 3 years. Candidates, preferably with model-based fMRI experience and familiarity with computational models such as Bayesian inference and POMDP, should send their CV, statement of research interests and representative publications to: Jean-Claude Dreher, dreher at isc.cnrs.fr -- Dr Jean-Claude Dreher, Research director, CNRS UMR 5229 Neuroeconomics group, Reward and decision making Centre de Neurosciences Cognitives 67 Bd Pinel, 69675 Bron, France tel: 00 33 (0)4 37 91 12 38 fax: 00 33 (0)4 37 91 12 10 http://dreherteam.cnc.isc.cnrs.fr/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoubin at eng.cam.ac.uk Mon Nov 28 13:47:14 2016 From: zoubin at eng.cam.ac.uk (Zoubin Ghahramani) Date: Mon, 28 Nov 2016 18:47:14 +0000 Subject: Connectionists: Postdoctoral Position in AI Trust and Transparency - University of Cambridge Message-ID: <8F603BBA-7456-4BC0-AC63-06A8ABD1E8AE@eng.cam.ac.uk> Postdoc position to study Trust and Transparency aspects of Artificial Intelligence University of Cambridge, UK The Leverhulme Centre for the Future of Intelligence (CFI; http://lcfi.ac.uk/ ) and the Machine Learning Group (http://mlg.eng.cam.ac.uk ) at the University of Cambridge invite applications for a Postdoctoral Research Associate in the study of trust and transparency in Artificial Intelligence (AI). The appointment will be for 3 years. CFI is a new, highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by the Leverhulme Trust, CFI is based at the University of Cambridge, with partners in the University of Oxford, Imperial College London, and UC Berkeley, and close links with industry. This is a new Research Associate post within CFI?s Trust and Transparency project, based in central Cambridge. The post-holder will be a member of both CFI, and the Machine Learning Group, run by Prof Zoubin Ghahramani, in the Department of Engineering. This project, led by Dr Adrian Weller and involving partners at Imperial College, aims to develop processes to ensure that AI systems are transparent, reliable and trustworthy. Deadline for applications is 19 December 2016. Please see http://lcfi.ac.uk/careers/postdoc-study-trust-transparency/ for further details. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. ? Zoubin Ghahramani FRS Professor, Machine Learning Group, University of Cambridge | http://mlg.eng.cam.ac.uk Deputy Academic Director, Leverhulme Centre for the Future of Intelligence | http://lcfi.ac.uk/ Cambridge Director, Alan Turing Institute | https://www.turing.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From getoor at soe.ucsc.edu Mon Nov 28 23:17:02 2016 From: getoor at soe.ucsc.edu (Lise Getoor) Date: Mon, 28 Nov 2016 20:17:02 -0800 Subject: Connectionists: Three Faculty Positions, Computer Science Department, UC Santa Cruz Message-ID: The Computer Science Department at UC Santa Cruz is hiring assistant tenure-track faculty in the following three broad areas: Big Data & Systems - https://recruit.ucsc.edu/apply/JPF00409 Data-driven Applications, including natural language processing, computer vision, and social network analysis - https://recruit.ucsc. edu/apply/JPF00410 Teaching Faculty - https://recruit.ucsc.edu/apply/JPF00411 Please see the associated ads for full details and to apply. The closing date for the first two positions is Jan 3, 2017; the latter position closes Jan 6, 2017. -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Gillies at gold.ac.uk Tue Nov 29 04:52:43 2016 From: M.Gillies at gold.ac.uk (Marco Gillies) Date: Tue, 29 Nov 2016 09:52:43 +0000 Subject: Connectionists: MOCO 2017 Call For Practice Work Message-ID: MOCO 2017 Call for Practice Work: demos, art work, performance and unconventional presentation types International Conference on Movement and Computing (MOCO17) > Intersecting Art, Meaning, Cognition, Technology 28-30th June, London UK Goldsmiths University of London http://moco17.movementcomputing.org We would like to invite submissions for a wide variety of practice focused work for the 4th International Conference on Movement and Computing (MOCO) which is to be held in London. MOCO is open to a wide range of ways of presenting your work. We invite submission of a wide range of practice work such as demos, performances, games, artistic works and movement workshops. We encourage submitters to be creative in proposals for practice sessions and are open to novel formats. MOCO is an interdisciplinary conference that explores the use of computational technology to support and understand human movement practice (e.g. computational analysis) as well as movement as a means of interacting with computers (e.g. motion capture, gestural analysis, sensor interfaces). This requires a wide range of computational tasks including modeling, representation, segmentation, recognition, classification, or generation of movement information but also an interdisciplinary understanding of movement that ranges from biomechanics and dance to embodied cognition and the phenomenology of bodily experience. We therefore invite submissions from a wide range of disciplines including (but not limited to): Human-Computer Interaction, Dance, Somatic Practices, Performance, Artificial Intelligence, Neuroscience, Sports Science, Machine Learning, Visual Arts, Robotics, Philosophy, Anthropology, Music, Affective Computing, Games, Sports, Healthcare and Animation. We deliberately use a very open phrase ?practice work? to encourage diverse ideas of what practice in movement and computing is and how that practice can be presented. We suggests the following as examples of what practice work might be, but also stress that the list is in no way exhaustive and any types of presentation will be considered, with the only criteria will be excellence of the work and whether it is possible to stage the work given the resources, time and space available to the conference: * Technology demos * Performances (e.g. dance, physical performance, music) * Artworks * Interactive Installations * Movement workshops (i.e. a session in which participants engage in movement based activity) * Games * Video presentations Submission Submissions will be by extended abstract (2 pages maximum), a proposal form and supporting media (video, sound or images) which will give details of the practical and technical requirements for putting on the work (this is very important to ensure that we can accommodate the work within the resources of our conference). Please note that we are an academic conference with a low fee which means we cannot pay for commissioned performances and art work. Also, we cannot guarantee facilities for all possible sessions, so please give full details of your needs in the proposal form so we can judge whether it is possible. All submissions should be in pdf format and should use the ACM proceedings format: http://www.acm.org/publications/proceedings-template ACM SIG Proceedings Templates www.acm.org About ACM. ACM, the world's largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. Online submission: All submissions must be made through EasyChair https://easychair.org/conferences/?conf=moco2017 All submissions must be anonymous and will be peer-reviewed. The MOCO proceedings will be indexed and published in the ACM digital library. Important Dates Submission deadline: 23 January 2017 Notification: 23 March 2017 Camera ready papers: 30 April 2017 Contact If you have any questions please contact us on moco2017 at easychair.org Committee Conference Chair Marco Gillies, Goldsmiths Organising Committee Kirk Woolford, University of Surrey Sarah Whatley, Coventry University Adam Parkinson, Goldsmiths Frederic Fol Leymarie, Goldsmiths Phoenix Perry, Goldsmiths Simon Katan, Goldsmiths Perla Maiolino, Goldsmiths Local organisers Kiona Niehaus, Goldsmiths Nicky Donald, Goldsmiths Phoenix Fry, Goldsmiths Steering Committee Fr?d?ric Bevilacqua, IRCAM Sarah Fdili Alaoui, LRI-Universit? Paris-Sud 11 Jules Fran?oise, Simon Fraser University Philippe Pasquier, Simon Fraser University Thecla Schiphorst, Simon Fraser University -------------- next part -------------- An HTML attachment was scrubbed... URL: From julien.mayor at psykologi.uio.no Tue Nov 29 06:48:12 2016 From: julien.mayor at psykologi.uio.no (Julien Mayor) Date: Tue, 29 Nov 2016 11:48:12 +0000 Subject: Connectionists: Deadline extension: Post-Doc in Developmental Psychology Message-ID: <5604d463b0b24c67be66c5d70220731d@mail-ex11.exprod.uio.no> ***Deadline extension: Post-Doctoral Research Fellowship in Developmental Psychology*** Dear colleagues, A 3- to 4-year Post-Doctoral position is available at the Department of Psychology of the University of Oslo. The Post-Doctoral fellow will work on a project aiming at uncovering learning mechanisms underlying infant speech perception, word learning and phoneme acquisition, via the creation of computational models, as well as their validations using eye-tracking experiments. For more details about the project and how to apply, please consult: http://uio.easycruit.com/vacancy/1718497/65775?iso=no Letters of recommendations can either be uploaded along with the application material or sent directly to julien.mayor at psykologi.uio.no . The new deadline is on December 31st, 2016. Kind regards, julien From JAPlatt at northwell.edu Tue Nov 29 11:07:04 2016 From: JAPlatt at northwell.edu (Platt, Jo Ann) Date: Tue, 29 Nov 2016 11:07:04 -0500 Subject: Connectionists: Interviews at NIPS (Dec 6-9) for Neural Data Analytics - Post Docs, Staff Scientists and Electrical Engineers Message-ID: <786DD4B977A6024B9520062297C8A8DFE7572595DA@SYKECHXVS10.nslijhs.net> Bioelectronic Medicine is the new frontier of medicine - challenging and changing the way we diagnose, manage, and treat disease. Today's discoveries and devices are successfully replacing drugs. We aim to treat bleeding, cancer, diabetes, lupus, obesity, paralysis, rheumatoid arthritis, sepsis, and many other diseases and conditions. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at NIPS Barcelona for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt at northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege. From fmelo at inesc-id.pt Wed Nov 30 07:51:19 2016 From: fmelo at inesc-id.pt (Francisco S. Melo) Date: Wed, 30 Nov 2016 12:51:19 +0000 Subject: Connectionists: Post-doctoral research position at INESC-ID, Lisbon Message-ID: <583ECB47.60301@inesc-id.pt> Apologies for multiple postings. -- POST-DOCTORAL RESEARCH GRANT (BPD) Project: INSIDE Ref: CMUP-ERI/HCI/0051/2013 The Instituto de Engenharia de Sistemas e Computadores, Investiga??o e Desenvolvimento (INESC-ID), in Lisbon, Portugal, is seeking a highly motivated postdoctoral fellow to integrate the GAIPS research team (gaips.inesc-id.pt) for project INSIDE (www.project-inside.pt). INSIDE is a research project that investigates symbiotic human-robot interaction and applications to the therapy of children with autism spectrum disorders. The INSIDE consortium includes INESC-ID, from Portugal, Carnegie Mellon University, from the USA, and Instituto Superior T?cnico, Nova University, Hospital Garcia de Orta, all from Portugal. It also includes three Portuguese SMEs (IDMind, PLUX and VoiceInteraction). The hired post-doctoral researcher is expected to contribute to both the fundamental and the technological research in INSIDE, while also assuming a coordinating role of other grantees working in development. In particular, the researcher is expected to contribute to one or more of the following topics: - Development of a hierarchical architecture for human-robot unstructured interaction that accommodates sensing, reasoning and acting at the task, action and motor levels; - Deployment of novel machine learning approaches allowing a robot to learn interaction strategies from human examples obtained during wizard-of-oz studies; such approaches should be able to handle sparse, incomplete and noisy data; The grantee is also expected to participate in all project meetings. The grant has duration of 12 months, starting on 01/12/2016, and can be renewed up to August 2018 (renewal is subject to suitable performance). The fellowship contract will be celebrated according to the current ?Regulations for Research Grants of the Foundation for Science and Technology? (http://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2015.pdf), the INESC-ID Grant regulations approved by FCT, and to the Status of Scientific Research Fellow (Lei n? 40/2004 de 18 de Agosto, and its successive amendments). It includes a monthly stipend of 1495 euros, in accordance with the values stipulated in the ?Regulations for Research Grants of the Foundation for Science and Technology? and INESC-ID Lisboa Grant Regulations approved by FCT as well as accident insurance and social security contribution. The researcher will integrate the GAIPS group of INESC-ID (gaips.inesc-id.pt) in TagusPark, and be supervised by Prof. Francisco S. Melo (gaips.inesc-id.pt/~fmelo). = Selection process = The successful candidates are expected to hold a PhD in computer science, electrical engineering or related area, with experience in one (or more) of the following areas: - Human-robot interaction; - Machine learning; The selection will be based on the following criteria: - Academic record of the candidate (including publication record and past experience in research projects) and relevance of the research areas of the candidate with respect to the goals of the project (70%); - (20%) Motivation letter; - (10%) Personal references; The candidates may be subject to an interview, and the jury may decide to offer or not the fellowship, depending on the applicants CV and performance. For interviewed candidates, the interview will count for 50% of the evaluation of each criteria above. The Jury may also decide not to assign the fellowship, if none of candidates meets the required conditions. The jury will convene in 30/11/2014 and is composed of The final evaluation results will be publicized through an ordered list, and the candidates will be notified of the Jury decision by email. = Application process = Candidates should submit: - A detailed CV (including list of publications) - Motivation letter - Copy of official academic degree certificates - Name of two personal references Deadline for application: December 14, 2016 Submissions should be sent by e-mail to: Francisco S. Melo E-mail: fmelo at inesc-id.pt Address: INESC-ID / Instituto Superior T?cnico TagusPark, Edif?cio IST Av. Prof. Dr. An?bal Cavaco Silva, 2744-016 Porto Salvo Portugal -- -- Assistant Professor at IST Senior Researcher at INESC-ID GAIPS - INESC-ID IST TagusPark Av. Prof. Dr. Cavaco Silva Room 2N7.15 2780-990 Porto Salvo PORTUGAL E-mail: fmelo at inesc-id.pt http://gaips.inesc-id.pt/~fmelo From tetiana.aksenova at cea.fr Wed Nov 30 09:59:14 2016 From: tetiana.aksenova at cea.fr (Tetiana AKSENOVA 218551) Date: Wed, 30 Nov 2016 14:59:14 +0000 Subject: Connectionists: Postdoctoral Position in Signal processing at CEA Grenoble Message-ID: Postdoctoral Position in Neural engineering / Signal processing with the focus on functional Brain Computer Interface at CEA Grenoble, France, funded by an international mobility program. Applicants are invited for the research position in the field of Neural engineering / Signal processing with the focus on Brain Computer Interface (BCI) with multiple degrees of freedom. Context: The goal of the Brain Computer Interface (BCI) Project at CLINATEC(r) (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects). A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE(r) have been designed for long-term clinical application. The clinical research protocol "BCI and tetraplegia" (PI Prof. Benabid) recently obtained authorizations to perform a clinical trial. The work will be performed in CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble. http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx http://www-leti.cea.fr/fr/Decouvrez-le-Leti/Les-plateformes-d-innovation2/Clinatec Mission: The applicant will intervene during the phase of clinical trial of ECoG based BCI in order to optimize the decoding algorithms and/or to elaborate training strategies. In a multidisciplinary environment composed of clinicians, engineers and researchers in mathematics, informatics, electronics and biology, roles of the applicant will be to optimize and implement robust algorithms of adaptive real-time ECoG signal decoding, to develop effector dependent control strategies, including complex effector with multiple degrees of freedoms such as a 4-limb exoskeleton. Postdoctoral fellow will directly participate at clinical trial, contribute to strategies and tools to support patients' re-education, define quality criteria allowing to quantify patients' progress and satisfaction etc. Profile: The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Biomedical Engineering, Computer Science, Applied Mathematics, Physics). Programming in Matlab and possibly C++ will be a part of the project. Candidates with skills and experience in BCI, EEG/ECoG data analysis, real time signal processing, and/or patients training will be preferred. French speaking preferred. Administrative: Funding is provided by an international mobility program for postdoctoral researchers. The applicant shall not have resided or carried out its main activity in France for more than 12 months in the last 3 years. The deadline is the end of December 2016. The start of the contract (18-month duration, potentially renewable once) is expected June-July 2017. Salary is commensurate with experience and the position carries a full social security and health coverage. Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr), Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). Selected candidates will be interviewed in Grenoble. For more information please e-mail to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr) and Mr. Guillaume CHARVET (guillaume.charvet at cea.fr). References. Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid A.-L. (2014, August). CLINATEC(r) BCI platform based on the ECoG-recording implant WIMAGINE(r) and the innovative signal-processing: preclinical results. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1222-1225). IEEE. Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing. Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model. Journal of neural engineering, 11(6), 066005. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alb.mazzoni at gmail.com Wed Nov 30 11:27:06 2016 From: alb.mazzoni at gmail.com (Alberto Mazzoni) Date: Wed, 30 Nov 2016 17:27:06 +0100 Subject: Connectionists: Workshop on Tactile coding and neuroprostheses - Pontedera (Pisa), Italy - Dec 1-2 2016 In-Reply-To: References: Message-ID: Dear all, the workshop on tactile coding taking place in the The Biorobotics Institute of the Scuola Superiore Sant'Anna in the next two days (see below) will be available for streaming on the Facebook page of the Institute https://www.facebook.com/istitutobioroticascuolasuperioresantanna/ the full program is now available in .pdf form here sssa.bioroboticsinstitute.it/events/TFN2016 ----------------------------------------------------------------------------------------------- *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Syst?mes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni at sssup.it )* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / ?cole polytechnique f?d?rale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)?Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM. -------------- next part -------------- An HTML attachment was scrubbed... URL: