From birgit.ahrens at bcf.uni-freiburg.de Mon Jul 1 07:06:39 2013 From: birgit.ahrens at bcf.uni-freiburg.de (Birgit Ahrens) Date: Mon, 1 Jul 2013 13:06:39 +0200 Subject: Connectionists: Postdoctoral position in Neurotechnology & Computational Neuroscience Message-ID: <02f301ce764b$0fc693a0$2f53bae0$@bcf.uni-freiburg.de> We are inviting applications for a Postdoctoral position in the lab of Prof. Rotter at the Bernstein Center Freiburg, University of Freiburg, Germany for research in ?Computational Neuroscience and Neurotechnology" We are looking for a postdoctoral researcher to join an international team of scientists and engineers in the NeuroSeeker project (see http://www.neuroseeker.eu/). The goal of the project is to develop and apply new methods and software to improve the yield of novel high-resolution probes for recording activity from many neurons simultaneously. Candidates should hold a PhD in physics, applied mathematics, computer science or biology, with proven experience in software engineering and user-oriented application programming (C++ and/or Python). Specific knowledge and scientific publications in the fields of "statistical analysis of neuronal data" and/or "numerical methods and data structures in the neurosciences" are a requirement. Funding is already available, starting date is negotiable. The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application. Application: Please apply online via our online application form (https://yoda.bcf.uni-freiburg.de) and indicate "Rotter" as preferred project. Applications are accepted until the position is filled. Further details on: www.bcf.uni-freiburg.de/jobs Contact: Dr. Birgit Ahrens Teaching & Training Coordinator Hansastr. 9a 79104 Freiburg, Germany birgit.ahrens at bcf.uni-freiburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From hqyang at cse.cuhk.edu.hk Mon Jul 1 07:19:19 2013 From: hqyang at cse.cuhk.edu.hk (Haiqin) Date: Mon, 1 Jul 2013 19:19:19 +0800 Subject: Connectionists: CFP: SML@IEEE BigData 2013: International Workshop on Scalable Machine Learning: Theory and Applications In-Reply-To: References: Message-ID: **************************************************************************************************************************** CALL FOR PAPERS **************************************************************************************************************************** SML at IEEE BigData 2013: International Workshop on Scalable Machine Learning: Theory and Applications https://sites.google.com/site/bigdatasml/home Co-located with IEEE BigData 2013, October 6, 2013, Santa Clara, CA, USA WORKSHOP AIMS and SCOPE ----------------------------------------------- Big Data are encountered in various areas, including Internet search, social networks, finance, business sectors, meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. The huge volume, high velocity, significant variety, and low veracity bring challenges to current machine learning techniques. It is desirable to scale up machine learning techniques for modeling and analyzing the big data from various domains. The workshop aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art of scalable machine learning technologies from theory and applications. TOPICS OF INTEREST ----------------------------------------------- Topics of interest include, but not limited to: * Distributed machine learning architectures - Data separation and integration techniques - Machine learning algorithms for GPUs - Machine learning algorithms for clouds - Machine learning algorithms for clusters * Theory and algorithms of data reduction techniques for Big Data - Online/incremental learning algorithms - Random projection - Hashing techniques - Data sampling algorithms * Theory and algorithms of large-scale matrix approximation - Bound analysis of matrix approximation algorithms - Parallel matrix factorization - Parallel multiway array factorization - Online dictionary learning - Distributed topic modeling algorithms * Heterogeneous learning on Big multi-modality Data - Multiview learning - Multitask learning - Transfer learning - Semi-supervised learning - Active learning * Temporal analysis and spatial analysis in Big Data - Real time analysis for data stream - Trend prediction in financial data - Topic detection in instant message systems - Real time modeling of events in dynamic networks - Spacial modeling on maps * Scalable Machine Learning in large graphs - Communities discovery and analysis in social networks - Link prediction in networks - Anomaly detection in social networks - Authority identification and influence measurement in social networks - Fusion of information from multiple blogs, rating systems, and social networks - Integration of text, videos, images, sounds in social media - Recommender systems * Novel applications of scalable machine learning in - Healthcare - Cybersecurity - Mobile computing such as location-based service, mobile networks, etc. - Smart cities - Astronomy - Biological data analysis IMPORTANT DATES ----------------------------------------------- * August 2, 2013: Due date for workshop papers submission * August 30, 2013: Notification of paper decision to authors * September 25, 2013: Camera-ready of accepted papers * October 6 2013: Workshop SUBMISSION INFORMATION ----------------------------------------------- We call for original and unpublished research paper contribution of short (2-4 pages) and full (6-8 pages) manuscripts to the workshop using IEEE Computer Society Proceedings Manuscript Formatting. Papers should be submitted via the online submission system. If you do not have an account, you will be asked to sign up for an account. Please select "Workshop/Scalable Machine Learning: Theory and Algorithms" when you submit papers. Each accepted paper is required at least a workshop registration regardless of the status of the registered author. Also, one of the authors (or a qualified substitute) must give a presentation of the paper at the workshop. The workshop papers will be part of the conference proceedings. They will be indexed by ieee explore. ORGANIZING COMMITTEE ----------------------------------------------- * Irwin King, The Chinese University of Hong Kong * Michael R. Lyu, The Chinese University of Hong Kong * Michael Mahoney, Stanford University * Zenglin Xu, Purdue University * Haiqin Yang, The Chinese University of Hong Kong CONFIRMED INVITED SPEAKERS ----------------------------------------------- * Mikhail Bilenko, Microsoft research * Carlos Guestrin, University of Washington * Alek Kolcz, Twitter * Alex Smola, Carnegie Mellon University -------------- next part -------------- An HTML attachment was scrubbed... URL: From Eugene.Izhikevich at braincorporation.com Mon Jul 1 03:03:42 2013 From: Eugene.Izhikevich at braincorporation.com (Eugene Izhikevich) Date: Mon, 1 Jul 2013 00:03:42 -0700 Subject: Connectionists: Winners of Brain Corporation Prize in Computational Neuroscience Message-ID: The award ceremony of Brain Corporation Prize in Computational Neuroscience will be at the Computational Neuroscience (CNS'13) meeting in Paris on July 16, 16:10. == First Place, $5,000 prize == Alex H Williams et al. (2013) Homeostatic Regulation of Neuronal Excitability. Scholarpedia, 8(1):1656. http://www.scholarpedia.org/article/Homeostatic_Regulation_of_Neuronal_Excitability == Second Place, $3,000 prize == Thomas Kreuz (2012) SPIKE-distance. Scholarpedia, 7(12):30652. http://www.scholarpedia.org/article/SPIKE-distance == Third Place, $2,000 prize == Zhe Chen and Emery N. Brown (2013) State space model. Scholarpedia, 8(3):30868. http://www.scholarpedia.org/article/State_space_model Details of the competition are at http://www.scholarpedia.org/article/Scholarpedia:2012_Brain_Corporation_Prize_in_Computational_Neuroscience Congratulations to the winners! -- Dr. Eugene M. Izhikevich CEO, Brain Corporation, http://www.braincorporation.com http://izhikevich.org/Google_Scholar From Roland.W.Fleming at psychol.uni-giessen.de Tue Jul 2 10:27:11 2013 From: Roland.W.Fleming at psychol.uni-giessen.de (Roland Fleming) Date: Tue, 2 Jul 2013 16:27:11 +0200 Subject: Connectionists: Workshop on the Perceptual Representation of Illumination, Shape and Materials Message-ID: WORKSHOP ON PERCEPTUAL REPRESENTATIONS OF ILLUMINATION, SHAPE AND MATERIALS 8th-11th October 2013: Bordeaux, FRANCE Supported by the PRISM Initial Training Network (Marie-Curie action). https://sites.google.com/site/prismitn/home ABOUT This event is one of a series of workshops organized by the PRISM network, which is a Marie-Curie Initial Training Network (ITN). The workshop will host invited talks and poster sessions featuring latest research on how the brain represents the richly detailed visual ?look and feel? of surfaces and objects in our everyday surroundings. The purpose of the meeting is to bring together researchers from different fields to present their ongoing work related to shape, shading and materials. CONFIRMED SPEAKERS ? -- Steven Zucker, (Yale University) ? -- Diego Gutierrez (Zaragoza) ? -- Andrew Parker (Oxford) ? -- Robert Kentridge (Durham) ? -- Wendy Adams (Southampton) ? -- Hannah Smithson (Oxford) ? -- Pascal Barla (INRIA Bordeaux) ? -- Katja Doerschner (Bilkent) ? -- Roland Fleming (Giessen) ? -- Pascal Mamassian (Paris Descartes) ? -- Sylvia Pont (TU Delft) ? -- Andrew Welchman (Birmingham) VENUE & PRICING Bordeaux is the 9th largest city in France and a port city on the Garonne River in South West. The historic part of the city is on the UNESCO World Heritage List as "an outstanding urban and architectural ensemble" of the 18th century. The 4-star Novotel Bordeaux Centre where the workshop will be held is a 5-minute walk from the old town and the M?riadeck district. The price of the event is 650 Euro, which includes accommodation, lodging, breakfast and dinner for the full duration of the workshop. ABSTRACT SUBMISSION & REGISTRATION We have place for 25 external participants. Registration will be handled on a first come first serve basis, with preference given to PhD students and Post-docs. All participants are required to present a poster during the Afternoon poster sessions. To register for the meeting, please submit your 200-word poster abstract to roland.w.fleming at psychol.uni-giessen.de AND pascal.barla at inria.fr by 31st August 2013. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 0clip_image002.png Type: image/png Size: 20425 bytes Desc: not available URL: From nicolas.usunier at hds.utc.fr Wed Jul 3 11:14:47 2013 From: nicolas.usunier at hds.utc.fr (nicolas.usunier at hds.utc.fr) Date: Wed, 03 Jul 2013 17:14:47 +0200 Subject: Connectionists: =?iso-8859-1?q?PhD_studentship_in_machine_learnin?= =?iso-8859-1?q?g_in_Compi=E8gne_=28France=29?= Message-ID: <20130703171447.29054tp567mdp2ww@webmail.utc.fr> A fully-funded PhD studentship in Machine Learning is available at Universit? Technologique de Compi?gne (France). **Title** New methods for learning with multiple objectives **Supervision** Nicolas Usunier, Associate Professor (nicolas.usunier at hds.utc.fr) Yves Grandvalet, CNRS Senior Researcher (yves.grandvalet at hds.utc.fr) **Dates** position open in Fall 2013 **Research Team** The student will be based in the Heudiasyc laboratory in Compi?gne (France) and join the DI team headed by Yves Grandvalet. He/she will be supervised by Nicolas Usunier (www.hds.utc.fr/~nusunier/) and Yves Grandvalet(www.hds.utc.fr/~grandval/). Heudiasyc is a joint laboratory with the Universit? de Technologie de Compi?gne (UTC) and the French governmental agency for research (CNRS). In 2011, it was rated A+ (the highest rate) by the French Research evaluation agency (AERES). Heudiasyc fosters interdisciplinary research on information science and technology including machine learning, uncertain reasoning, operations research, robotics and knowledge management. In 2011 Heudiasyc was awarded with an excellence project (LabEx) on the ? Control of Technological Systems of Systems ?. **Context** Most learning algorithms are designed in a risk minimization framework, where the risk is defined as the expectation of a task-dependent cost function on the data distribution. While machine learning algorithm are nowadays applied on a variety of tasks and large-scale datasets, it turns out that the only algorithms for which strong theoretical guarantees are proved correspond to the simplest cost functions for the tasks of classification, regression or structured prediction. In real-life applications however, the final performance of a learning system is often measured by more complex indicators of the true end-user satisfaction. Examples of such performance indicators include non-trivial trade-offs between per-class precision and recall (like macro-averaged F1 scores) in multiclass classification, or trade-offs between relevance and diversity in search engines or recommender systems. There is currently no learning algorithms that can provably and efficiently optimize such performance indicators. The starting point of the PhD subject is that the principle of minimizing a single real-valued cost function either (1) does not give sufficient degrees of freedom to specify all aspects of the performance of a prediction function, or (2) leads to cost functions with a complex structure, which cannot be optimized with usual (e.g. convex optimization) approaches. **Subject** The goal of the project is to design new multi-objective approaches to machine learning, in order to develop methods that can optimize performance indicators that are non-trivial trade-offs between different cost functions. The intended results are the design and analysis of convex multi-objective machine learning algorithms to problems where convex single-objective approaches are inadequate. Experimental studies can be conducted in different application domains, such as search engines, recommender systems or technological systems of systems in collaboration with other researchers of the laboratory. **Requirements** The PhD candidate should have or expect to obtain a MSc or equivalent in computer science or mathematics. The following qualities are desirable : strong interests in machine learning or statistics ; excellent record of academic and/or professional achievement ; strong mathematical skills ; strong programming skills ; good written and spoken communication skills in French or English. **Contact and Application** Applicants should send a CV and a brief statement of research interests by e-mail at nicolas.usunier at hds.utc.fr. From pascal.fua at epfl.ch Thu Jul 4 11:17:44 2013 From: pascal.fua at epfl.ch (Pascal Fua) Date: Thu, 04 Jul 2013 17:17:44 +0200 Subject: Connectionists: Post-doctoral Fellowship in Computer Vision at EPFL Message-ID: <51D59218.7070806@epfl.ch> EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening for a post-doctoral fellow in the field of Computer Vision and Augmented Reality. The position is initially offered for 1 year and can be extended for up to 4 years total. Description: The work will be carried out within the context of a European Union project in collaboration with CERN. Its overall goal is to develop Augmented Reality techniques that can eventually be deployed in the ATLAS detector at CERN for maintenance purposes. Position: The work will be carried out within the context of a European Union project. Its overall goal is to incorporate Augmented Reality techniques into a tool for authoring games on mobile devices. Among other things, we will develop very fast techniques for 3D pose estimation in outdoors environments. EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers away from the city of Geneva. Salaries are in the order CHF 80,000 per year, the precise amount to be determined by EPFL's department of human resources. Education: Applicants are expected to have finished, or be about to finish their Ph.D. degrees, to have a strong background in Computer Vision and 3D Tracking, and to have a track record of publications in top conferences and journals. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory. Application: Applications must be sent by email to Ms. Gisclon (josiane.gisclon at epfl.ch). They must contain a statement of interest, a CV, a list of publications, and the names of three references. From diego.sona at gmail.com Thu Jul 4 05:53:58 2013 From: diego.sona at gmail.com (Diego Sona) Date: Thu, 4 Jul 2013 11:53:58 +0200 Subject: Connectionists: 2 Postdoc positions at PAVIS (IIT) - Computer Vision, Image Processing, Time Series Analysis, Pattern Recognition, Machine Learning Message-ID: <2E59B435-30B0-4A39-A4D1-77B7F3CEA7B8@gmail.com> The PAVIS department at Fondazione Istituto Italiano di Tecnologia - IIT (www.iit.it) is looking for highly qualified researchers in the field of Computer Vision, Pattern Recognition, Image Analysis and Machine Learning. The main mission of PAVIS is to design and develop innovative video surveillance systems, characterized by the use of highly-functional smart sensors and advanced video analytics features. PAVIS has also an active role in supporting the research facilities in IIT providing solutions to life-scientists in Neuroscience, Drug Discovery and Development and Nanophysics. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, sensors networks, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. These research positions are part of the EU project RENVISION (Retina-inspired ENcoding for advanced VISION tasks) awarded within the initiative of Future Emerging Technologies: Neuro-Bio-Inspired Systems (NBIS). The project is highly interdisciplinary, including neuroengineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision. The overall aim of the project is to achieve a comprehensive understanding of how the retina encodes complex visual scenes, and to use such insights to develop new computational models of retina and to apply them to high-level computer vision tasks, such as scene categorization and action recognition. The candidate will design novel methodologies and algorithms based on computer vision, image processing, pattern recognition and machine learning techniques, aiming at: ? BC 68371: reconstructing the 3D structure of neuronal connectivity between amacrine and ganglion cells from microscopy 3D fluorescence or calcium imaging of lower retinal layers. ? BC 68372: analysing electrophysiological recordings in response to visual stimulation of retina. The aim is to discover representative and/or discriminative features in retina coding suitable for high-level vision tasks, such as scene categorization and action recognition. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise on compressive sensing, deep learning and/or dictionary learning is in general preferred. Experience on spiking networks or retinal function will be appreciated while not being a discriminating factor. Strong programming skill is required. Further details can be found at http://www.iit.it/en/openings/research-departments/pattern-analysis-a-computer-vision/ Informal enquires can be made by email to pavis at iit.it The salary will be commensurate to qualification and experience and in line to that of the research institutes in the rest of Europe. Completed application forms along with a curriculum listing all publications, a pdf of your most representative publications and a research statement describing your previous research experience and outlining its relevance to these topics should be sent by email to pavis at iit.itby July 20, 2013; indicating the budget code: 68371 or 68372. Please also include three independent references in your CV or email. =============================== The Fondazione Istituto Italiano di Tecnologia (IIT) is a non-profit institution based in Genova, situated in north-west part of Italy close to both the Italian Riviera and the Alps, established jointly by the Italian Ministry of Education, University and Research, and the Ministry of Economy and Finance to promote excellence in basic and applied research and to contribute to the economic development of Italy. The primary goals of the IIT are the creation and dissemination of scientific knowledge as well as the strengthening of Italy?s technological competitiveness. The IIT intends to become an international leading centre in scientific research and advanced technology, able to attract researchers from around the world, and cooperating with both academic institutions and private organizations. For more info, please visit www.iit.it and www.iit.it/pavis.html. --------------------------------------------------------- Dr. Diego Sona, Team Leader PAVIS - Pattern Analysis & Computer Vision IIT - Istituto Italiano di Tecnologia Via Morego 30, 16163 Genova, Italy --------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From barak at cs.nuim.ie Wed Jul 3 22:59:41 2013 From: barak at cs.nuim.ie (Barak A. Pearlmutter) Date: Thu, 4 Jul 2013 03:59:41 +0100 Subject: Connectionists: Postdocs and Research Programmer for Compositional Learning via Generalized Automatic Differentiation Message-ID: We are adding exact first-class derivative calculation operators (Automatic Differentiation or AD) to the lambda calculus, and embodying the combination in a production-quality fast system suitable for numeric computing in general, and compositional machine learning methods in particular. To the programming language community, we seek to contribute a way to make numeric software faster, more robust, and easier to write. To the machine learning community, in addition to the above practical benefits, we seek to contribute a system that embodies *compositionality*, in that gradient optimisation can be automatically and efficiently performed on systems themselves consisting of many components, even when such components may internally perform optimisation. (Examples of this include, say, optimisation of the rules of a multi-player game to cause the players actions to satisfy some desiderata, where the players themselves optimise their own strategy with using a simple model of the opponent which they optimise according to their opponent's behaviour; or multi-agent learning where one agent learns an internal model of another agent, where that internal model itself performs learning.) To this end, we are seeking two postdoctoral researchers and one research programmer with interest and experience in a cohert subset of: programming language theory, numerics, automatic differentiation, and machine learning. Inquiries to: Barak A. Pearlmutter Informal announcment with more details: http://www.bcl.hamilton.ie/~barak/ad-fp-positions.html, which will have a reference to the formal announcement when it becomes available. -- Barak A. Pearlmutter Hamilton Institute & Dept Computer Science NUI Maynooth From Vittorio.Murino at iit.it Mon Jul 8 07:41:02 2013 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Mon, 8 Jul 2013 13:41:02 +0200 Subject: Connectionists: 4th PAVIS School on CVPR - Large Scale Visual Recognition of Object Instances and Categories - A. Zisserman, A. Vedaldi Message-ID: <51DAA54E.3000001@iit.it> LAST NOTICE -- PROGRAM INCLUDED Apologise for multiple posting ==================================================================== Call for Participation 4th PAVIS School on Computer Vision, Pattern Recognition, and Image Processing September 18-20, 2013 ? Sestri Levante (GE), Italy LARGE SCALE VISUAL RECOGNITION OF OBJECT INSTANCES AND CATEGORIES ------------------------------------------------------------------ Invited speakers * Andrew Zisserman, University of Oxford, UK * Andrea Vedaldi, University of Oxford, UK -------------------------------------- REGISTRATION DEADLINE APPROACHING !!! >>>>> JULY 15, 2013 <<<<< (see instructions below) -------------------------------------- The goal of this school is to introduce a number of state-of-the-art fundamental techniques in image understanding as well as to demonstrate the use of open source software to implement them in applications. Theoretical aspects that will be covered include image representations suitable for registration, object instance, and object category matching (including regions of interest, local descriptors, descriptor metrics, quantisation, indexing, and historamming) as well as machine learning techniques to train models for given object types (linear and non-linear large scale support vector machines and related kernel representations and optimisation methods). Alternating with the theoretical sessions, in a series of guided experiments the students will explore how such ideas can be implemented in software by using MATLAB and open source libraries such as VLFeat. *********************************************************************** * REGISTRATION DEADLINE: July 15, 2013 * * Interested applicants are invited to send an expression of interest * at pavisschool2013 at iit.it asking for participation. * For Ph.D. candidates please attach a Curriculum vitae and a letter * from your supervisor in support to the request. * * Accepted candidates will receive an email containing the instructions * for the actual registration and payment. *********************************************************************** Notice that, due to the limited number of places, applications are subject to acceptance, and for this reason, early registrations or expressions of interest are encouraged. The attendees are expected to bring a laptop with a working version of MATLAB since practical experiments will be performed during the school using open source libraries such as VLFeat. PROGRAM ? Day 1 Matching and recognition of object instances Morning ? When do two images match? ? Local features and descriptors ? Matching and recognition using local features ? Efficient visual search ? Dataset and evaluation Afternoon ? Large scale retrieval and applications ? Practical ? Day 2 Learning and recognition of object categories Morning ? Object categories and intra-class variability ? Supervised learning ? Bag of word models for classification ? Other image representations ? Dataset and evaluation ? Large scale linear learning Afternoon ? Large scale non-linear learning with feature maps ? Practical ? Day 3 Detecting object category and advanced representations and learning Morning ? Siding window object detection ? HOG detectors ? Advanced HOG-based representations ? Learning with structure ? Part-based model Afternoon ? Latent structure ? Recapitulation and current research challenges --------------------------------------------------------------- Registration Fees - 150 euro for Ph.D. and undergraduate students. - 250 euro for post docs, researchers, and other people working in a university or a research institute. - 300 euro for everybody else. --------------------------------------------------------------- Director: Prof. Vittorio Murino Local Organizers: Vittorio Murino, Matteo Bustreo, Carlos Beltran- Gonzalez, Alessio Del Bue. For more information please visit: http://tinyurl.com/4th-pavis-school ---------------------------------------------------------------- This school follows a series of intensive courses, targeting PhD students and researchers in the areas of Computer Vision, Image Processing, and Pattern Recognition. The course is residential, spanning 3 days, so that attendees can install a more productive interaction with the lecturers. It is organized and sponsored by PAVIS (Pattern analysis and Computer Vision) department of the Istituto Italiano di Tecnologia, Genova (Italy). The course will take place in the beautiful Baia del Silenzio in Sestri Levante (http://g.co/maps/xqnyr), located between the city of Genova and the border to Tuscany. The school is structured in a such way that attendees can install a more productive interaction with the lecturers. The school is endorsed by GIRPR (Gruppo Italiano Ricercatori in Pattern Recognition). ========================================================================= -- Vittorio Murino **************************** Prof. Vittorio Murino, Ph.D. PAVIS - Pattern Analysis & Computer Vision IIT Istituto Italiano di Tecnologia Via Morego 30 16163 Genova, Italy Phone: +39 010 71781 504 Mobile: +39 329 6508554 Fax: +39 010 71781 236 E-mail: vittorio.murino at iit.it http://www.iit.it/pavis.html *************************************************************************** From jlam at bccn-tuebingen.de Mon Jul 8 11:02:02 2013 From: jlam at bccn-tuebingen.de (Judith Lam) Date: Mon, 08 Jul 2013 17:02:02 +0200 Subject: Connectionists: Bernstein Conference 2013 - Registration is now open Message-ID: <51DAD46A.5040707@bccn-tuebingen.de> Registration is open now! Please register here . Early registration deadline: *August 2, 2013* **************************************************************************** Workshops September 24-25, 2013 --- http://www.bernstein-conference.de/workshops/ Main Conference September 25-27, 2013 --- http://www.bernstein-conference.de/program/ **************************************************************************** The Bernstein Conference on Computational Neuroscience started out as the annual meeting of the Bernstein Network (www.nncn.de) and has become the largest European Conference in Computational Neuroscience in recent years. This year, the Conference is organized by the Bernstein Center Tuebingen and will take place *S**eptember 25-27, 2013*. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of *pre-conference workshops* on *September 24-25**, 2013*. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de CONFERENCE DATE AND VENUE: Workshops September 24-25, 2013, Brechtbau, Wilhelmstr. 50, Tuebingen, Germany Main Conference September 25-27, 2013, Neue Aula, Geschwister Scholl Platz, Tuebingen, Germany PhD STUDENT SYMPOSIUM: September 28, 2013 PROGRAM COMMITTEE: Matthias Bethge, Michael Black, Michael Brecht, Jakob Macke, Anthony Movshon, Felix Wichmann, Fred Wolf ORGANIZING COMMITTEE: Matthias Bethge (General Chair) Judith Lam, Jakob Macke, Felix Wichman We look forward to seeing you in Tuebingen in September! -- Dr. Judith Lam Executive Coordinator Bernstein Center for Computational Neuroscience T?bingen Eberhard Karls University of T?bingen Max Planck Institute for Biological Cybernetics http://www.bccn-tuebingen.de/about-bccn/contact.html Otfried-M?ller-Str. 25, 72076 T?bingen Tel: +49 7071 29 89019 Fax: +49 7071 29 25015 -------------- next part -------------- An HTML attachment was scrubbed... URL: From arto.klami at tkk.fi Fri Jul 5 07:41:20 2013 From: arto.klami at tkk.fi (Arto Klami) Date: Fri, 05 Jul 2013 14:41:20 +0300 Subject: Connectionists: PhD position in machine learning, University of Helsinki, Finland Message-ID: <51D6B0E0.1040102@tkk.fi> The Helsinki Institute for Information Technology HIIT and the Department of Computer Science are offering a fully-funded position for DOCTORAL STUDENT IN MACHINE LEARNING at University of Helsinki, Finland. The candidate will be working on a long-term project titled "Traces of Information: Intelligence from fragmented data" with Academy Research Fellow Arto Klami, as part of the Complex Systems Computation (CoSCo) group (http://www.hiit.fi/cosco). DESCRIPTION: The project develops novel Bayesian machine learning tools for integrated analysis and understanding of complex and fragmented data sources, to extract useful information seen only by combining the sources. A prototypical scenario would be to understand the daily actions of a person or the behavior of a community by jointly modeling their social media output, spatiotemporal data recorded by mobile devices and public transportation systems, and other available public and private data sources. The PhD student will work on the core machine learning challenge of learning how to combine these sources that do not come with direct associations between the different streams. APPLYING: Successful applicant should have a Master's degree or equivalent qualification in computer science, statistics, mathematics, or other related field. Strong mathematical background and interest in conducting research on probabilistic modeling and machine learning is required, as well as knowledge of some numerical programming language (R/Matlab/Python). Prior experience with machine learning and Bayesian models, in particular nonparametric Bayesian modeling, is considered a strong asset. The monthly salary will be based on rules of the salary system applied in Finnish universities, and can currently range between 1 944,69 and 3 558,31 euros. Funding is provided for the duration of whole PhD, with initial contract for three years and starting date in fall 2013. The applicants are requested to enclose with their application a CV, a transcript of studies / copy of degree certificate, and a motivation letter describing the applicant?s interest to the subject. Applications should be addressed to the Department of Computer Science at rekry.toi(at)cs.helsinki.fi. The closing date for applications is Monday 12 August 2013 at 15.45 local Helsinki time. Further information may be obtained from the project leader Arto Klami (arto.klami at hiit.fi). The full announcement is available in http://www.helsinki.fi/recruitment/index.html?id=70212 SITE: The Department of Computer Science (http://www.cs.helsinki.fi/en) at the University of Helsinki is the leading Finnish research and education institute in its field. The Department's research and teaching focus on 1) algorithms and machine learning, 2) networks and services as well as 3) software systems. The Department has three Finnish centres of excellence funded by the Academy of Finland and cooperates closely in research projects with the Helsinki Institute for Information Technology HIIT (http://www.hiit.fi/). The Department is also one of ten Finnish centres of excellence in university education. The Department has a staff of 170 and an overall budget of EUR 11 million. Its research infrastructure is excellent, including its own 1960-core computing cluster. From deak at cogsci.ucsd.edu Mon Jul 8 02:31:18 2013 From: deak at cogsci.ucsd.edu (=?ISO-8859-1?Q?Gedeon_De=E1k?=) Date: Sun, 7 Jul 2013 23:31:18 -0700 Subject: Connectionists: ICDL-EpiRob 2013 (Osaka, Aug 18-22) registration is open Message-ID: On behalf of the organizers of the 2013 International Conferences on Learning and Development / Epigenetic Robotics meetings, we would like to announce that registration has now opened. For more information, please visit: http://www.icdl-epirob.org/ Please forward this message along to anyone who might be interested. Thank you! -- Gedeon O. De?k, Ph.D. Professor of Cognitive Science University of California, San Diego 9500 Gilman Dr. La Jolla, CA 92093-0515 http://www.cogsci.ucsd.edu/~deak/cdlab http://ucsd.academia.edu/GedeonDe?k ph (858) 822-3352 fax (858) 534-1128 From juergen at idsia.ch Fri Jul 5 12:51:10 2013 From: juergen at idsia.ch (Schmidhuber Juergen) Date: Fri, 5 Jul 2013 18:51:10 +0200 Subject: Connectionists: Postdocs at the Swiss AI Lab IDSIA Message-ID: <72491273-E752-4FE1-9A5C-23F40247A6DF@idsia.ch> We are seeking postdocs with interest / experience in deep learning http://www.idsia.ch/~juergen/vision.html and machine learning in general. Interviews in North America can be arranged in July/August near: Seattle, L.A., San Diego, Austin, Dallas, Toronto, Niagara Falls. Please compare upcoming events under http://www.idsia.ch/~juergen/whatsnew.html Highly competitive salary at the award-winning Swiss AI Lab IDSIA http://www.idsia.ch/ in the world's leading science nation http://www.idsia.ch/~juergen/switzerland.html Please follow instructions under http://www.idsia.ch/~juergen/eu2013.html Juergen Schmidhuber From irodero at cac.rutgers.edu Tue Jul 9 19:25:52 2013 From: irodero at cac.rutgers.edu (Ivan Rodero) Date: Wed, 10 Jul 2013 01:25:52 +0200 Subject: Connectionists: CiSE Extreme Data - Call for Papers In-Reply-To: References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu> <6F339279-23CD-4553-95DF-B1F906F948E3@rutgers.edu> Message-ID: ------------------------------------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of this CFP! ------------------------------------------------------------------------------------------------------ Call for Papers Computing in Science & Engineering Extreme Data Submissions due: 4 November 2013 Estimated Publication date: July/August 2014 The current era of extreme data culled from a range of diverse data sources, ranging from extreme scale simulations to instruments, experiments, and pervasive sensors and systems, has the potential for revolutionizing science, engineering, and society in general. However, the expanding distribution and dynamism of the data, increasing data heterogeneity and uncertainty about its quality and availability, as well as the growing costs (time and energy) associated with transporting and processing this data, requires new paradigms and practices in data management and analytics, as well as supporting software stacks before this potential can be realized. The goal of this special issue of CiSE is to explore the fundamental challenges ? as well as the state of the art in solutions ? of extreme data. From innovative algorithmic formulations to implementation frameworks and software stacks, what can accelerate insights from extreme data? End-to-end application workflows and relevant experiences with real applications are of particular interest. Published by the IEEE Computer Society and the American Institute of Physics, CiSE magazine features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies. We strongly encourage submissions that include multimedia, data, and community content, which will be featured on the IEEE Computer Society website along with the accepted papers. For more information please see http://www.computer.org/portal/web/computingnow/cscfp4 Questions? Contact guest editors Manish Parashar, Rutgers University (parashar at rutgers.edu) or George K. Thiruvathukal, Loyola University Chicago (gkt at cs.luc.edu). Submission Guidelines Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals. All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 30 percent new material. Manuscripts should be written in the active voice, should be no longer than 7,200 words (counting each standard figure and table as 250 words), and should follow the style and presentation guidelines of CiSE (see www.computer.org/cise/author for details). Please submit your article using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at cise at computer.org. ============================================================= Ivan Rodero, Ph.D. Rutgers Discovery Informatics Institute (RDI2) NSF Center for Cloud and Autonomic Computing (CAC) Department of Electrical and Computer Engineering Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 625 94 Brett Road, Piscataway, NJ 08854-8058 Phone: (732) 993-8837 Fax: (732) 445-0593 Email: irodero at rutgers dot edu WWW: http://nsfcac.rutgers.edu/people/irodero ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From nhf at umd.edu Wed Jul 10 09:04:46 2013 From: nhf at umd.edu (Naomi Hannah Feldman) Date: Wed, 10 Jul 2013 13:04:46 +0000 Subject: Connectionists: Research Assistant in Computational Psycholinguistics Message-ID: The Department of Linguistics at the University of Maryland is looking to fill a full-time position for a post-baccalaureate researcher, starting September 1, 2013 or as soon as possible thereafter. Salary is competitive, with benefits included. This person will be involved in computational psycholinguistics research, with a focus on using techniques from automatic speech recognition to better understand human speech perception. The person will have the opportunity to develop skills in Bayesian modeling and signal processing and will be part of a vibrant language science community that numbers 200 faculty, researchers, and graduate students across 10 departments. The position would be ideal for individuals with a BA degree who are interested in gaining significant research experience in a very active research group as preparation for a research career. Applicants must be US or Canadian citizens or permanent residents, and should have completed a BA or BS degree by the time of appointment. Previous experience in cognitive science as well as familiarity with mathematics, computer science, or signal processing is preferred. This is a 1 year initial appointment with possibility of extension. Applicants should submit a cover letter outlining relevant background and interests, a current CV, and names and contact information for 3 potential referees. Reference letters are not needed as part of the initial application. Applicants should also send a writing sample. Applications should be submitted by email to Dr. Naomi Feldman, nhf at umd.edu, with 'Research Assistantship' in the subject line. Review of applications will begin immediately and will continue until the position is filled. From btorbennielsen at gmail.com Wed Jul 10 12:25:45 2013 From: btorbennielsen at gmail.com (B. Torben-Nielsen) Date: Wed, 10 Jul 2013 10:25:45 -0600 Subject: Connectionists: Dendrite function and wiring [CNS2013 workshop] Message-ID: <51DD8B09.7060105@gmail.com> Dear all, We would like to announce our upcoming workshop on "Dendrite function and wiring: experiments and theory" that will be held at the CNS meeting in Paris, July 17. Below the topic and confirmed speakers. Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950?s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. For example, dendritic function can now be studied in awake, behaving animals. Also, owing to the precise characterization of neural circuits, the role of the single dendrite can be studied in the context of its connectivity. The goal of the workshop is to provide a resume of the state-of-the-art in experimental, computational and mathematical investigations into the functions of dendrites in a variety of neural systems. Two keynote lectures will be given by: *Idan Segev* (Hebrew University, Jerusalem) *Matthew Larkum* (Charit?, Berlin) Confirmed speakers: - Bill Kath (Northwestern University, Evanston) - Yulia Timofeeva (University of Warwick) - Christoph Schmidt-Hieber (University College London) - Henrik Lind?n (Royal Institute of Technology (KTH), Stockholm) - Srikanth Ramaswamy (Blue Brain Project, Lausanne) - Hermann Cuntz (Ernst Str?ngmann Institute, Frankfurt) - Michiel Remme (Humboldt University, Berlin) - Ben Torben-Nielsen (Blue Brain Project, Lausanne) The schedule as well as the title and abstract for each talk can be found at the website: http://www.treestoolbox.org/CNS2013_dendrites_workshop/index.html Kind regards, Hermann Cuntz Michiel Remme Ben Torben-Nielsen -- Dr. Ben Torben-Nielsen Blue Brain Project, EPFL From irodero at cac.rutgers.edu Wed Jul 10 14:06:24 2013 From: irodero at cac.rutgers.edu (Ivan Rodero) Date: Wed, 10 Jul 2013 20:06:24 +0200 Subject: Connectionists: ACM CAC 2013 - Call for Participation In-Reply-To: References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu> Message-ID: <828ECB55-3292-4D46-9F21-A4C18EF2F712@rutgers.edu> ------------------------------------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of this announcement! ------------------------------------------------------------------------------------------------------ ACM CAC 2013 - Call for Participation ---------------------------------------------------- The ACM Conference on Cloud and Autonomic Computing August 5 to August 8, 2013 InterContinental Hotel, Miami, Florida, USA http://www.autonomic-conference.org Overview Recent advances in computing, networking, software and mobile technologies have led to the development of cyberspace services that are pervasive and ubiquitous and that touch all aspects of life and economy. Through such advances, cloud and autonomic services will revolutionize the way we do business, maintain our health, conduct education, and how we secure, protect, inform and entertain ourselves. Along with these advances, however, we are experiencing strong challenges to our ability to ensure that our cyberspace resources and services are properly regulated, under appropriate review and control, manageable and secure. The insertion of increasingly automated processes and procedures into normal workflows for personal, scientific and business transactions requires extreme care in design of these systems to ensure that such challenges are properly met. The main focus of the CAC is to be the premier international forum to present the latest research, applications, and technologies to make cloud and autonomic computing systems and services easy to design, to deploy and to implement, while achieving the simultaneous goals to be self-manageable, self-regulating and scalable with little involvement of human or system administrators. Conference Tracks and Workshops The CAC conference main topics are grouped into four special tracks: Autonomic Cloud Computing; Autonomics for Extreme Scales; Autonomic Cybersecurity; and Autonomic Tools and Applications. Program vice-chairs in each of these research areas will coordinate the efforts regarding papers focused in these tracks. Autonomic Cloud Computing: Vice Chair Rosa M. Badia ? Self-management cloud services ? Autonomic cloud applications and services ? Autonomic virtual cloud resources and services ? Cloud workload characterization and prediction ? Monitoring and analysis of behavior of cloud resources and services ? Theoretical frameworks for modeling and analysis autonomic computing systems and services Autonomics for Extreme Scales: Vice Chair Gregor von Laszewski ? Very large and extreme scale autonomic systems ? Self-optimizing and self-healing at very large and extreme scale ? Self-managing middleware and tools for very large and extreme scales ? Experiences in autonomic systems and applications at very large and extreme scales Autonomic Cybersecurity: Vice Chair Sherif Abdelwahed ? Self-protection techniques of computing systems, networks, and applications ? Metrics to evaluate and performance of self-protection algorithms ? Anomaly behavior analysis of autonomic systems and services ? Data mining, stochastic analysis and prediction of autonomic systems and applications ? Metrics to characterize and quantify the cybersecurity algorithms (confidentiality, integrity, and availability of autonomic systems) ? Datasets and benchmarks to compare and evaluate different self-protection techniques Autonomic Tools and Applications: Vice Chair Jim Dowling ? Benchmarks and tools to evaluate and compare different architectures to implement autonomic cloud systems ? High performance autonomic applications ? Self* applications in science and engineering ? Self* Human Machine Interface ? Full visibility into the behavior of autonomic systems and services ? Knowledge representation and visualization of behavior of autonomic systems and services The conference program and keynote speakers can be found at http://www.autonomic-conference.org. The online registration website can be found at http://www.regonline.com/Register/Checkin.aspx?EventID=1221234 Conference Organizers STEERING COMMITTEE: Manish Parashar (Chair), Rutgers University, USA Salim Hariri, University of Arizona, USA John Howie, Cloud Security Alliance, USA Masoud Sadjadi, Florida International University, USA GENERAL CHAIR: Salim Hariri, University of Arizona, USA PC CHAIR: Alan Sill, Texas Tech University, USA PC VICE CHAIRS: Autonomic Cloud Computing Vice Chair: Rosa M. Badia, Barcelona Supercomputing Center, Spain Autonomic Cybersecurity Vice Chair: Sherif Abdelwahed, Mississippi State University, USA Autonomics for Extreme Scales Vice Chair: Gregor von Laszewski, Indiana University, USA Autonomic Tools and Applications Vice Chair: Jim Dowling, Swedish Institute of Computer Science, Sweden WORKSHOP CHAIR: Xiaolin (Andy) Li, University of Florida, USA POSTER/DEMO/EXHIBIT CHAIR: Andres Quiroz, XEROX, USA PHD FORUM CHAIR: Yeliang Zhang, University of Arizona, USA INDUSTRY CHAIR: John Howie, Cloud Security Alliance, USA PUBLICITY CHAIRS: Ivan Rodero, Rutgers University, USA Erick Passos, Technological University, Brazil Shihong Huang, Florida Atlantic University, USA David Villegas, IBM, USA PUBLICATION CHAIR: Ivan Rodero, Rutgers University, USA LOCAL CHAIR: Masoud Sadjadi, Florida International University, USA LOCAL ORGANIZER: Martha Gutierrez, Florida International University, USA SPONSORS ACM (Association for Computing Machinery) NSF Center for Cloud and Autonomic Computing University of Arizona Florida International University ============================================================= Ivan Rodero, Ph.D. Rutgers Discovery Informatics Institute (RDI2) NSF Center for Cloud and Autonomic Computing (CAC) Department of Electrical and Computer Engineering Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 625 94 Brett Road, Piscataway, NJ 08854-8058 Phone: (732) 993-8837 Fax: (732) 445-0593 Email: irodero at rutgers dot edu WWW: http://nsfcac.rutgers.edu/people/irodero ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniele.marinazzo at ugent.be Thu Jul 11 06:26:36 2013 From: daniele.marinazzo at ugent.be (Daniele Marinazzo) Date: Thu, 11 Jul 2013 12:26:36 +0200 Subject: Connectionists: CNS workshop: network neurosciences: linking brain structure and dynamics Message-ID: Hi everybody The 2-day CNS workshop "Network neurosciences: linking brain structure and dynamics" will take place on july 17 and 18* at the University Headquarters (12 rue de l??cole de Med?cine)* which are located at 15 minutes walking distance from the Centre Universitaire des Saints-P?res, where the main meeting and the hoter workshops will be held. Directions are given in Map 2, page 13 of the program book, and on this map http://goo.gl/smrqa The abstracts and the full program can be downloaded from the workshop page http://www.namasen.net/drupal/sites/CNS2013Workshop Looking forward to see you in Paris! the organizers -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Gent University Henri Dunantlaan 1, B-9000 Gent, Belgium +32 (0) 9 264 6375 http://users.ugent.be/~dmarinaz/ *Workshop @ CNS 2013 * *NDES 2013 conference * *International symposium on connectivity, 12 Dec 2013, Gent * *Frontiers Research Topic: Information based methods for neuroimaging data analysis * http://helpdesk.ugent.be/e-maildisclaimer.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.torcini at cnr.it Thu Jul 11 04:45:28 2013 From: alessandro.torcini at cnr.it (Alessandro Torcini) Date: Thu, 11 Jul 2013 10:45:28 +0200 Subject: Connectionists: Workshop at CNS2013 - Relevance of Synaptic Plasticity for Multistable Behaviour in Neural Systems In-Reply-To: References: Message-ID: Workshop CNS*2013 ---- July 18, 2013 in Paris Relevance of Synaptic Plasticity for Multistable Behaviour in Neural Systems http://neuro.fi.isc.cnr.it/index.php?page=CNS2013 List of speakers 1) Maxim Bazhenov (URC, USA) 2) Claudius Gros (University of Frankfurt, Germany) 3) Christian Hauptmann (Juelich, Germany) 4) Sylvia Daun-Gruhn (University of Cologne, Cologne, Germany) 5) Rowshanak Hashemiyoon [University of Pittsburgh] 6) Stefano Luccioli (ISC-CNR, Firenze, Italy) 7) Gianluigi Mongillo (ENS, Paris, France) 8) Oleksandr Popovych (Research Center Juelich. Juelich, Germany) 9) Alexander Silchenko (Research Center Juelich, Germany) 10) Alessandro Torcini (ISC-CNR, Firenze, Italy) The program is now available online: http://neuro.fi.isc.cnr.it/uploads/TALKS/programCNS2013.pdf See you soon in Paris Alessandro Torcini & Christian Hauptmann -- --------------------------------------------------------------------------------------- Alessandro Torcini - Istituto dei Sistemi Complessi - CNR via Madonna del Piano, 10 --- I-50019 Sesto Fiorentino Tel:+39-055-522-6670 Fax:+39-055-522-6683 SKyPE: torcini http://www.fi.isc.cnr.it/users/alessandro.torcini ----------------------------------------------------------------------------------------- From pmgr at idiap.ch Fri Jul 12 04:43:23 2013 From: pmgr at idiap.ch (Idiap Research Institute) Date: Fri, 12 Jul 2013 10:43:23 +0200 Subject: Connectionists: OPEN POSITION: Senior Researcher @Idiap, Switzerland Message-ID: <51DFC1AB.80507@idiap.ch> *Permanent Researcher or Senior Researcher position* @Idiap Research Institute (Martigny, Switzerland) (OP-20130502-102710) *Description:* Idiap Research Institute (www.idiap.ch) invites applications for a *permanent Researcher or Senior Researcher position*. The main focus of this search is for highly qualified candidates, with evidence of strong research, PhD student supervision, and project management capabilities. We particularly encourage those candidates committed to novel theories and applications of machine learning and signal processing, and who could bring expertise in new application areas. Topics of interest include (but are not limited to) environmental monitoring and risk management, health, biotechnologies, energy management, and smart cities. The successful candidate is expected to initiate independent, creative research programs at the Idiap Research Institute, possibly in collaboration with EPFL. As part of our affiliation with EPFL, duties could also include the participation in undergraduate and graduate teaching in Lausanne. Given the links between Idiap and EPFL, academic careers can also be considered for exceptional candidates. Internationally competitive salaries and benefits are offered. Interested individuals should include a r?sum? with a list of publications, a concise (max 2 pages) statement of research and teaching interests, and the names and addresses, with e-mail, of at least three (five for senior positions) referees. Applications should be uploaded by 31th August 2013 to: For more details and to apply: http://www.idiap.ch/education-and-jobs/job-10136 *About Idiap:* Idiap is an independent, non-profit research institute recognized and supported by the Swiss Government, and affiliated with the Ecole Polytechnique F?d?rale de Lausanne (EPFL). It is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Geneva and Lausanne. Although Idiap is located in the French part of Switzerland, English is the working language. Free French lessons are provided. Idiap offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. The Institute seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourage both genders to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From shuling.chen.dareinstitute at gmail.com Mon Jul 15 12:12:25 2013 From: shuling.chen.dareinstitute at gmail.com (Shuling Chen) Date: Mon, 15 Jul 2013 12:12:25 -0400 Subject: Connectionists: A New Neural Network Paper Message-ID: To whom it may concern, This is Shuling Chen. I am a research assistant in Dare Institute, Cambridge, MA. My supervisor Michael Lamport Commons, who is a professor from department of Psychiatry at Harvard Medical School, published a paper called "Stacked Neural Networks Must Emulate Evolution's Hierarchical Complexity" (Commons, 2008). The paper mainly discussed current issues in neural networks based on the Model of Hierarchical Complexity (Commons, Trudeau, Stein, Richards, and Krause, 1998) and provided possible solutions that can help resolve related problems. Feel free to contact me if you are interested in the paper or related topics and I will email back to you as soon as possible. Stacked Neural Networks Must Emulate Evolution's Hierarchical Complexity Abstract The missing ingredients in efforts to develop neural networks and arti?cial intelligence (AI) that can emulate human intelligence have been the evolutionary processes of performing tasks at increased orders of hierarchical complexity. Stacked neural networks based on the Model of Hierarchical Complexity could emulate evolution?s actual learning processes and behavioral reinforcement. Theoretically, this should result in stability and reduce certain programming demands. The eventual success of such methods begs questions of humans? survival in the face of androids of superior intelligence and physical composition. These raise future moral questions worthy of speculation. Reference: Commons, M. L. (2008). Stacked Neural Networks Must Emulate Evolution's Hierarchical Complexity. *World Futures*, *64*(5-7), 444-451. Commons, M. L., Trudeau, E. J., Stein, S. A., Richards, F. A., & Krause, S. R. (1998). Hierarchical complexity of tasks shows the existence of developmental stages. *Developmental Review*, *18*(3), 237-278. -- Regards, Shuling Chen Research Assistant Dare Institute 234 Huron Avenue Cambridge, MA 02138 Phone: 631-406-3488Email Address: shuling.chen.dareinstitute at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Mon Jul 15 16:18:12 2013 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 15 Jul 2013 16:18:12 -0400 Subject: Connectionists: NEURON course at 2013 SFN Meeting Message-ID: <51E45904.7070308@yale.edu> Using NEURON to Model Cells and Networks Satellite Symposium, Society for Neuroscience Meeting 9 AM - 5 PM on Friday, November 8, 2013 Speakers include M.L. Hines, N.T. Carnevale, W.W. Lytton, and G.M. Shepherd The emphasis of this course is on practical issues that are key to the most productive use of NEURON, an advanced simulation environment for realistic modeling of biological neurons and neural circuits. Through lectures and live computer demonstrations, will present the principles and techniques that are involved in creating and using models of cells and networks with NEURON. Partial list of topics that will be covered: * Efficient design and implementation of models of neurons and networks. * Constructing and managing models with NEURON's GUI, hoc, and Python. * Using the built-in variable-order variable-timestep integrator for improved speed and accuracy. * Parallelizing models of cells and networks to take advantage of multicore PCs and Macs, workstation clusters, and parallel supercomputers. * Expanding NEURON's repertoire of biophysical mechanisms, including an introduction to using the new RxD feature to implement models that involve reactive diffusion. * Databases for empirically-based modeling. Each registrant will receive a comprehensive set of notes. Registration is limited to 30 individuals on a first-come, first-serve basis. The registration deadline is Friday, October 25, 2013. NO on-site registration will be accepted. For more information and the online registration form, see http://www.neuron.yale.edu/neuron/static/courses/sd2013/sd2013.html --Ted From ted.carnevale at yale.edu Mon Jul 15 23:14:52 2013 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 15 Jul 2013 23:14:52 -0400 Subject: Connectionists: 2013 SFN Meeting Workshop: Portal for parallel simulations Message-ID: <51E4BAAC.3040608@yale.edu> What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2013 Society for Neuroscience Meeting Where: Lodation to be announced in downtown San Diego, CA When: 9 AM - Noon on Saturday, November 9, 2013 Speakers: A. Majumdar, S. Sivagnanam, K. Yoshimoto, and T. Carnevale Registration deadline: Friday, October 25, 2013 This workshop is intended for neuroscientists who are already using, or would like to use, the Neuroscience Gateway Portal (NSG http://www.nsgportal.org/) for parallel simulations. The NSG portal eliminates most administrative and technical barriers that face neuroscientists who need to use high performance computing resources for large modeling projects, including the process of obtaining CPU time and the complexities of running simulations on massively parallel supercomputers. Simulators currently installed include Brian, MOOSE, NEST, NEURON, PGENESIS, and PyNN. The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2013/nsg2013.html From sala038 at aucklanduni.ac.nz Mon Jul 15 20:50:01 2013 From: sala038 at aucklanduni.ac.nz (shafiq burki) Date: Tue, 16 Jul 2013 12:50:01 +1200 Subject: Connectionists: CALL FOR CHAPTER : Biologically-Inspired Techniques for Knowledge Discovery and Data Mining Message-ID: CALL FOR CHAPTER Full Chapter Submission Deadline: Aug 30, 2013 Biologically-Inspired Techniques for Knowledge Discovery and Data Mining Advances in Data Mining and Database Management (ADMDM) Book Series A book edited by Dr. Shafiq Alam, Dr. Yun Sing Koh, and Prof. Gillian Dobbie University of Auckland, New Zealand Website: https://conference.fos.auckland.ac.nz/bdm/biokdd/index.html To be published by IGI Global: http://bit.ly/13tKOjc *********************** Introduction *********************** Biological inspired data mining techniques have been intensively used in different data mining applications such as data clustering, classification, association rule mining, sequential pattern mining, outlier detection, feature selection and information extraction in many application areas, such as healthcare and bioinformatics. The techniques include Neural Networks, Fuzzy Systems, Genetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Artificial Immune Systems, Culture Algorithms, Social evolution, and Artificial Bee Colony Optimization. A huge increase in the number of papers and citations in the area has been observed in the past decade, which is clear evidence of the popularity of these techniques. *********************** Objective of the Book *********************** The aim of this book is to highlight the contemporary research in the area of Biologically-Inspired techniques in different data mining domains, and the implementation of these techniques in real life data mining problems. The book will publish some of the state of the art work in this area and share the good practices that have enabled this area grow and flourish. The book will also contribute to extending the knowledge by providing quality work from established researchers that can be used by new researchers in the area. The book calls for high quality chapters outlining current research, literature surveys, theoretical and empirical studies, and other relevant work including but not limited to the following areas: 1. Particle Swarm Optimization (PSO) - PSO based clustering - PSO based classification - PSO based outlier detection - PSO based feature selection 2. Ant Colony Optimization (ACO) - ACO based clustering - ACO based classification - ACO based feature selection - ACO based association rules mining - ACO based sequential patterns mining 3. Artificial Immune Systems (AIS) - Intrusion detection using AIS - Clustering using AIS - Decision support system using AIS 4. Bee Colony Optimization (BCO) - BCO for pattern matching - Clustering using BCO 5. Artificial Neural Networks (ANN) - ANN based pattern matching and discover - Classification rules discovery using ANN - Forecasting using ANN 6. Genetic Algorithms (GA?s) - Clustering, classification and parameter tuning using GA?s - GA?s based feature extraction and selection 7. Fuzzy systems (FS) - Fuzzy clustering - Fuzzy classification - Fuzzy Association rules discovery ********************** Target Audience ********************** The primary target of this book is the research community in the area of computational intelligence, machine learning, and data mining. However, the book is equally of interest for other KDD areas such as data analysis and preprocessing, big data management, web mining, optimization based data mining, and recommender systems. Specifically, it will be very useful for researchers from computational intelligence and evolutionary computation to update their knowledge about different application areas of their research, experimentation, and evaluation methods in the area of KDD. Publisher This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the ?Information Science Reference? (formerly Idea Group Reference), ?Medical Information Science Reference,? ?Business Science Reference,? and ?Engineering Science Reference? imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2014. Important Dates August 30, 2013: Full Chapter Submission October 30, 2013: Review Results Returned November 30, 2013: Final Chapter Submission February 15, 2014: Final Deadline ******************************************* Inquiries and submissions can be forwarded electronically (Word document) or by mail to: Dr. Shafiq Alam Department of Computer Science UNIVERSITY OF AUCKLAND Tel.: +6493737599 ext. 82128 ? Fax: +6493737453 E-mail: sala038 at aucklanduni.ac.nz ************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hqyang at cse.cuhk.edu.hk Mon Jul 15 22:11:44 2013 From: hqyang at cse.cuhk.edu.hk (Haiqin) Date: Tue, 16 Jul 2013 10:11:44 +0800 Subject: Connectionists: 2nd CFP: SML@IEEE BigData 2013: International Workshop on Scalable Machine Learning: Theory and Applications Message-ID: **************************************************************************************************************************** CALL FOR PAPERS **************************************************************************************************************************** SML at IEEE BigData 2013: International Workshop on Scalable Machine Learning: Theory and Applications https://sites.google.com/site/bigdatasml/home Co-located with IEEE BigData 2013, October 6, 2013, Santa Clara, CA, USA WORKSHOP AIMS and SCOPE ----------------------------------------------- Big Data are encountered in various areas, including Internet search, social networks, finance, business sectors, meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. The huge volume, high velocity, significant variety, and low veracity bring challenges to current machine learning techniques. It is desirable to scale up machine learning techniques for modeling and analyzing the big data from various domains. The workshop aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art of scalable machine learning technologies from theory and applications. TOPICS OF INTEREST ----------------------------------------------- Topics of interest include, but not limited to: * Distributed machine learning architectures - Data separation and integration techniques - Machine learning algorithms for GPUs - Machine learning algorithms for clouds - Machine learning algorithms for clusters * Theory and algorithms of data reduction techniques for Big Data - Online/incremental learning algorithms - Random projection - Hashing techniques - Data sampling algorithms * Theory and algorithms of large-scale matrix approximation - Bound analysis of matrix approximation algorithms - Parallel matrix factorization - Parallel multiway array factorization - Online dictionary learning - Distributed topic modeling algorithms * Heterogeneous learning on Big multi-modality Data - Multiview learning - Multitask learning - Transfer learning - Semi-supervised learning - Active learning * Temporal analysis and spatial analysis in Big Data - Real time analysis for data stream - Trend prediction in financial data - Topic detection in instant message systems - Real time modeling of events in dynamic networks - Spacial modeling on maps * Scalable Machine Learning in large graphs - Communities discovery and analysis in social networks - Link prediction in networks - Anomaly detection in social networks - Authority identification and influence measurement in social networks - Fusion of information from multiple blogs, rating systems, and social networks - Integration of text, videos, images, sounds in social media - Recommender systems * Novel applications of scalable machine learning in - Healthcare - Cybersecurity - Mobile computing such as location-based service, mobile networks, etc. - Smart cities - Astronomy - Biological data analysis IMPORTANT DATES ----------------------------------------------- * August 2, 2013: Due date for workshop papers submission * August 30, 2013: Notification of paper decision to authors * September 25, 2013: Camera-ready of accepted papers * October 6 2013: Workshop SUBMISSION INFORMATION ----------------------------------------------- We call for original and unpublished research paper contribution of short (2-4 pages) and full (6-8 pages) manuscripts to the workshop using IEEE Computer Society Proceedings Manuscript Formatting. Papers should be submitted via the online submission system. If you do not have an account, you will be asked to sign up for an account. Please select "Workshop/Scalable Machine Learning: Theory and Algorithms" when you submit papers. Each accepted paper is required at least a workshop registration regardless of the status of the registered author. Also, one of the authors (or a qualified substitute) must give a presentation of the paper at the workshop. The workshop papers will be part of the conference proceedings. They will be indexed by ieee explore. ORGANIZING COMMITTEE ----------------------------------------------- * Irwin King, The Chinese University of Hong Kong * Michael R. Lyu, The Chinese University of Hong Kong * Michael Mahoney, Stanford University * Zenglin Xu, Purdue University * Haiqin Yang, The Chinese University of Hong Kong CONFIRMED INVITED SPEAKERS ----------------------------------------------- * Mikhail Bilenko, Microsoft research * Carlos Guestrin, University of Washington * Alek Kolcz, Twitter * Alex Smola, Carnegie Mellon University -------------- next part -------------- An HTML attachment was scrubbed... URL: From mvladymyrov at ucmerced.edu Tue Jul 16 17:15:58 2013 From: mvladymyrov at ucmerced.edu (Max Vladymyrov) Date: Wed, 17 Jul 2013 00:15:58 +0300 Subject: Connectionists: Entropic affinities software available Message-ID: <93F80B62-EB02-465F-B714-2D170DCB9D67@ucmerced.edu> Dear all, We are pleased to advertise Matlab code for computing entropic affinities as described in the following paper: M. Vladymyrov and M. A. Carreira-Perpinan: "Entropic affinities: properties and efficient numerical computation", ICML 2013. https://eng.ucmerced.edu/people/vladymyrov http://faculty.ucmerced.edu/mcarreira-perpinan/papers.html The code efficiently and accurately computes Gaussian affinities for every point in the dataset with a variable bandwidth sigma that corresponds to a desired perplexity (effective number of neighbors) K. The entropic affinities were originally introduced in: G. Hinton and S. T. Roweis: "Stochastic Neighbor Embedding", NIPS 2002. Although these affinities have been mostly used with nonlinear embedding algorithms, we believe they can give good results in many other problems were Gaussian affinities are used, such as manifold learning, clustering or semi-supervised learning. The code is available in the authors' websites above. Sincerely, Max Vladymyrov and Miguel A. Carreira-Perpinan -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Wed Jul 17 03:30:48 2013 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 17 Jul 2013 09:30:48 +0200 (CEST) Subject: Connectionists: PhD position at Inria Nancy/France: Neural field modeling to describe general anaesthesia In-Reply-To: <1898055418.5998442.1363891073175.JavaMail.root@inria.fr> Message-ID: <1861343413.1543884.1374046248453.JavaMail.root@inria.fr> ------------------------------------------------------------------------------ Neural Field modeling of general anesthesia by traversing scales in the brain. ------------------------------------------------------------------------------ General anesthesia is a fixed part of hospital practice today but its underlying neural mechanism is far from being understood. The project aims to model the action of anaesthetic agents on single neurons and derives a neural population model involving these actions. The resulting model involves delayed integro-differential equations. It will be analyzed analytically and numerically. In a last step, the model parameters will be fitted optimally to experimental data in a Bayesian framework (Dynamical Causal Modeling). The experimental data may be electroencephalographic data or Local Field Potentials provided by external cooperation partners. The PhD-project is financed for 3 years and is located at INRIA in Nancy/France in the team NEUROSYS (http://neurosys.loria.fr/). The optimal candidate has a strong mathematical background in differential equations and/or statistical modeling and strong interest in neuroscience. Please send applications by email to Axel Hutt (axel.hutt at inria.fr). From francois.fleuret at idiap.ch Wed Jul 17 03:19:46 2013 From: francois.fleuret at idiap.ch (Francois Fleuret) Date: Wed, 17 Jul 2013 09:19:46 +0200 Subject: Connectionists: Open PhD positions in machine learning and computer vision at the Idiap Research Institute, Switzerland Message-ID: <20966.17810.699488.724279@gargle.gargle.HOWL> ====================================================================== Open PhD positions in Machine learning and Computer Vision at the Idiap Research Institute, Switzerland. ====================================================================== The Idiap Research Institute, affiliated with ?cole Polytechnique F?d?rale de Lausanne, seeks PhD students in statistical learning and computer vision to develop original techniques for learning in large dimension, and for tracking in videos. The hired candidates will be doctoral students at EPFL, working under the supervision of Dr. Fran?ois Fleuret at the Idiap Research Institute. Starting dates are Fall 2013 and January 2014 respectively. Both can be delayed by a few months if necessary. Applicants must be self-sufficient programmers and have a strong background in mathematics. They should be interested in, and familiar with, applied probabilities, information theory, signal processing, optimization, algorithmic, and C++ programming. The Idiap Research Institute is located in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and within close proximity to Lausanne and Geneva. The working language of Idiap is English. Please consult http://www.idiap.ch/~fleuret/ for more information. -- Francois Fleuret http://www.idiap.ch/~fleuret/ From grlmc at urv.cat Sun Jul 14 04:58:17 2013 From: grlmc at urv.cat (GRLMC) Date: Sun, 14 Jul 2013 10:58:17 +0200 Subject: Connectionists: TPNC 2013: extended submission deadline 23 July Message-ID: <2E325BB03CFD46A59B99E46C18705A4A@Carlos1> *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ---------------------------------------------------------------------------------------------------- SUBMISSION DEADLINE EXTENDED: July 23 !!! ---------------------------------------------------------------------------------------------------- ************************************************************************* 2nd INTERNATIONAL CONFERENCE ON THE THEORY AND PRACTICE OF NATURAL COMPUTING TPNC 2013 C?ceres, Spain December 3-5, 2013 Organized by: Computer Architecture and Logic Design Group (ARCO) University of Extremadura Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University http://grammars.grlmc.com/tpnc2013/ ********************************************************************* AIMS: TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2013 will reserve significant room for young scholars at the beginning of their career. It aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature. VENUE: TPNC 2013 will take place in C?ceres, in Western Spain, 300 kms. to the southwest of Madrid and 100 kms. to the Portuguese border. The old city is a UNESCO World Heritage site. SCOPE: Topics of either theoretical, experimental, or applied interest include, but are not limited to: * Nature-inspired models of computation: - amorphous computing - cellular automata - chaos and dynamical systems based computing - evolutionary computing - membrane computing - neural computing - optical computing - swarm intelligence * Synthesizing nature by means of computation: - artificial chemistry - artificial immune systems - artificial life * Nature-inspired materials: - computing with DNA - nanocomputing - physarum computing - quantum computing and quantum information - reaction-diffusion computing * Information processing in nature: - developmental systems - fractal geometry - gene assembly in unicellular organisms - rough/fuzzy computing in nature - synthetic biology - systems biology * Applications of natural computing to: algorithms, bioinformatics, control, cryptography, design, economics, graphics, hardware, learning, logistics, optimization, pattern recognition, programming, robotics, telecommunications etc. A flexible "theory to/from practice" approach would be the perfect focus for the expected contributions. STRUCTURE: TPNC 2013 will consist of: ? invited talks ? invited tutorials ? peer-reviewed contributions INVITED SPEAKERS: Risto Miikkulainen (Austin), Evolving Neural Networks (tutorial) Yew-Soon Ong (Singapore), Advances in Memetic Computation Xin Yao (Birmingham), Evolutionary Algorithm Portfolios for Numerical Optimisation PROGRAMME COMMITTEE: Selim G. Akl (Kingston, CA) Thomas B?ck (Leiden, NL) Peter J. Bentley (London, UK) Hans-Georg Beyer (Dornbirn, AT) Mauro Birattari (Brussels, BE) Jinde Cao (Nanjing, CN) Vladimir Cherkassky (Minneapolis, US) Sung-Bae Cho (Seoul, KR) John A. Clark (York, UK) Carlos A. Coello Coello (Mexico DF, MX) David W. Corne (Edinburgh, UK) Peter Dayan (London, UK) Bernard De Baets (Ghent, BE) Andries P. Engelbrecht (Pretoria, ZA) Enrique Herrera-Viedma (Granada, ES) Yaochu Jin (Guildford, UK) Nikola Kasabov (Auckland, NZ) Vladik Kreinovich (El Paso, US) Kwong-Sak Leung (Hong Kong, CN) Xiaohui Liu (London, UK) Manuel Lozano (Granada, ES) Carlos Mart?n-Vide (Tarragona, ES, chair) Julian F. Miller (York, UK) Frank Neumann (Adelaide, AU) Leandro Nunes de Castro (S?o Paulo, BR) Nikhil R. Pal (Kolkata, IN) G?nther Palm (Ulm, DE) Jos? Carlos Pr?ncipe (Gainesville, US) Helge Ritter (Bielefeld, DE) Conor Ryan (Limerick, IE) Hava Siegelmann (Amherst, US) Moshe Sipper (Beer-Sheva, IL) Thomas St?tzle (Brussels, BE) Ponnuthurai N. Suganthan (Singapore, SG) Johan Suykens (Leuven, BE) Kay Chen Tan (Singapore, SG) Dacheng Tao (Sydney, AU) Jon Timmis (York, UK) Marco Tomassini (Lausanne, CH) Michael D. Vose (Knoxville, US) Michael N. Vrahatis (Patras, GR) Harald Weinfurter (Munich, DE) Rolf W?rtz (Bochum, DE) Jun Zhang (Guangzhou, CN) ORGANIZING COMMITTEE: Adrian Horia Dediu (Tarragona) Carlos Mart?n-Vide (Tarragona, co-chair) Bianca Truthe (Magdeburg) Miguel A. Vega-Rodr?guez (C?ceres, co-chair) Florentina Lilica Voicu (Tarragona) LOCAL COMMITTEE: V?ctor Berrocal-Plaza Jos? M. Chaves-Gonz?lez Juan A. G?mez-Pulido David L. Gonz?lez-?lvarez Jos? M. Granado-Criado Alejandro Hidalgo-Paniagua Jos? M. Lanza-Guti?rrez ?lvaro Rubio-Largo Sergio Santander-Jim?nez Miguel A. Vega-Rodr?guez (chair) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (including eventual appendices) and should be formatted according to the standards of the Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://www.easychair.org/conferences/?conf=tpnc2013 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference. A special issue of the journal Soft Computing (Springer, 2011 impact factor: 1.880) will be later published containing peer-reviewed extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The period for registration is open from April 17 to December 3, 2013. The registration form can be found at: http://grammars.grlmc.com/tpnc2013/Registration DEADLINES: Paper submission: July 23, 2013 (23:59h, CET) ? EXTENDED ? Notification of paper acceptance or rejection: August 27, 2013 Final version of the paper for the LNCS proceedings: September 3, 2013 Early registration: September 10, 2013 Late registration: November 19, 2013 Starting of the conference: December 3, 2013 End of the conference: December 5, 2013 Submission to the post-conference special issue: March 5, 2014 QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu at urv.cat POSTAL ADDRESS: TPNC 2013 Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University Av. Catalunya, 35 43002 Tarragona, Spain Phone: +34-977-559543 Fax: +34-977-558386 ACKNOWLEDGEMENTS: Departament d?Economia i Coneixement, Generalitat de Catalunya Diputaci?n de C?ceres Universidad de Extremadura Universitat Rovira i Virgili From marc-oliver.gewaltig at epfl.ch Wed Jul 17 08:11:29 2013 From: marc-oliver.gewaltig at epfl.ch (Gewaltig Marc-Oliver) Date: Wed, 17 Jul 2013 12:11:29 +0000 Subject: Connectionists: OPEN POSITION: Scientific Programmer/Software Engineer Neurorobotics Message-ID: Dear colleagues, The Blue Brain Project, led by Prof. Henry Markram, is looking for an experienced Software Architect/Engineer (C++) to strengthen its Neurorobotics team. Please find the details at: http://emploi.epfl.ch/page-96228-en.html Description Specific responsibilities include : * Develop design and specification for a distributed, performance optimized C++ middleware to connect various neural simulators with physics based robotics and environment simulations and visualizations * Refactor large C++ parallel tools and libraries targeting multiple platforms. * Direct collaboration with BBP scientific and software development teams as well as external collaborators Essential skills and experience required : * Expert knowledge in modern C++ software design/implementation * Extensive experience using UNIX/Linux operating systems * Experience in software development targeting multiple operating systems and architectures. * Very good familiarity in software development life-cycle, such as versioning (git), debugging, workflows, testing, QA * Demonstrable expertise in distributed and/or parallel computing - MPI especially * Good team player and fluent English in speech and writing * Willingness to travel Preferred : * Experience with real-time systems/robotics/simulation environments * Game engine development experience * Experience in Python, the scientific software stack (numpy, scipy, ?), and wrapping technologies (Boost.Python, Cython) Profile : * Bachelors or Masters degree in computer science, physics or equivalent * Successful development track record making significant contributions to software projects * Experience with software design and maintenance of medium-scale projects What we offer : * An internationally visible and rising project in simulation-based research in neuroscience using supercomputers and neuromorphic hardware * A young, dynamic, inter-disciplinary, and international working environment Start date : 01.10.2013. Deadline for application: position open until filled Duration of contract : 1 year, renewable Activity rate : 100% Applicants should submit a cover letter and a detailed CV in PDF format only, with file name ?Surname_positon applied_Cover letter? and ?Surname_positon applied_CV? electronically tojobs.bbp at epfl.ch. Please use the position title in the ?subject? field. SV-lp 10.07.13 http://emploi.epfl.ch/page-96228-en.html best wishes Marc-Oliver Gewaltig ---- EPFL- BLUE BRAIN PROJECT Quartier de l?innovation B?timent J ? 3?me ?tage CH-1015 Lausanne - Switzerland Tel: +41 21 693 1866 http://people.epfl.ch/marc-oliver.gewaltig http://www.nest-initiative.org From mjose.escobar at gmail.com Thu Jul 18 17:15:15 2013 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Thu, 18 Jul 2013 17:15:15 -0400 Subject: Connectionists: LACONEU2014 Summer School: Computational Neuroscience / Network Neurodynamics / Basal Ganglia and Motivated Learning Message-ID: ----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2014 III Latin American Summer School in Computational Neuroscience and Biomedical Analysis Special Topic: Computational Neuroscience / Network Neurodynamics / Basal Ganglia and Motivated Learning January 13th-31st, 2014 Valpara?so - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2014 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2014 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. The proficiencies and expertise of the Faculty participants represent an unique opportunity for this research area in Latin America. For this version of LACONEU 2014 we propose a Summer School of three entire weeks combining lectures and student projects. Each week is focused on a different topic: Week1: Computational Neuroscience Week2: Network Neurodynamics Week3: Basal Ganglia and Motivated Learning. CONFIRMED SPEAKERS - Pascal Mamassian (Universit? Paris Descartes, France) - Fred Wolf (Max Plank Institute, Germany) - Olivier Marre (Institute de la Vision, France) - Romain Brette (Institute Universitaire de France, France) - Tom?s P?rez-Arcle (Computational Biology Lab, Chile) - Helmuth Grubmueller (Max Plank Institute, Germany) - Jason Kerr (Max Plank Institute, Germany) - Robert Gutig (Max Plank Institute, Germany) - Bruno Cessac (INRIA, France) - Francoise Dellu-Hagedorn (Universit? de Bordeaux, France) - Arthur Leblois (Institute National de Sciences Biologiques, France) - Nicolas Rougier (INRIA & Institute of Neurodegenerative Diseases, France) - Andr? Garenne (Institute of Neurodegenerative Diseases, France) - Thomas Boraud (Universit? de Bordeaux, France) - Adrian Palacios (CINV, Chile) - Maria-Jose Escobar (UTFSM, Chile) - Patricio Orio (CINV, Chile) - Fr?deric Alexandre (INRIA & Institute of Neurodegenerative Diseases, France) - Thierry Vi?ville (INRIA, France) IMPORTANT DATES - Call for Applications: July 19th, 2013 - Application submission deadline: September 19th, 2013 (visit the webpage to see the details) - Acceptance notification: September 30th, 2013 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at gatsby.ucl.ac.uk Thu Jul 18 18:05:03 2013 From: dayan at gatsby.ucl.ac.uk (Peter Dayan) Date: Thu, 18 Jul 2013 23:05:03 +0100 Subject: Connectionists: Computational Psychiatry 2013 22-23rd Oct 2013 In-Reply-To: <20121114123731.GA24813@gatsby.ucl.ac.uk> References: <20121114123731.GA24813@gatsby.ucl.ac.uk> Message-ID: <20130718220503.GB21120@gatsby.ucl.ac.uk> Computational Psychiatry 2013 will take place October 22-23 2013 in the Epic Hotel, Miami, Florida. Computational psychiatry uses computational theories of cognition and neuroscience with the goal of building computational models of mental disease and injury. The idea is that understanding mental function in computational terms will provide deeper, more quantitative, insights into the mechanistic underpinnings of normal and abnormal cognition. Modern computational psychiatry draws on many areas across the clinical and basic sciences and represents a truly multi-disciplinary approach to mental dysfunction. Talks and contributions from: Steven Hyman Meghana Bhatt Pearl Chiu Jon Cohen Phllip Corlett Nathaniel Daw Peter Dayan Peter Fonagy Michael Frank Jim Gold Quentin Huys Terry Lohrenz Tiago Maia Samuel McClure Read Montague Rosalyn Moran Craig Ramey Sharon Ramey Allan Reiss Jonathan Roiser Daphna Shohamy Klaas Stephan Tor Wager Plus space for contributed posters Registration and full details at: http://computationalpsychiatry.org/ From Pierre.Bessiere at imag.fr Fri Jul 19 03:55:18 2013 From: Pierre.Bessiere at imag.fr (=?iso-8859-1?Q?Pierre_Bessi=E8re?=) Date: Fri, 19 Jul 2013 09:55:18 +0200 Subject: Connectionists: PostDoc position: modeling locomotion planning Message-ID: <7F31DCDF-157E-411D-BC81-1E628CACAE63@imag.fr> PostDoc position: modeling locomotion planning This position is available at LPPA (http://www.lppa.college-de-france.fr) lab at Coll?ge de France (http://www.college-de-france.fr/site/en-college/) in Paris. Context: ROMEO 2 is a large French project involving both academic and industrial groups for multidisciplinary studies and development of an autonomous humanoid robot. One of the tasks of the project consists in proposing navigation strategies inspired by human behaviors. Content: The objective of the position is to compare different mathematical models of motor control and trajectory planning for locomotion and to evaluate their relevance for human physiological processes. These models will include optimal control family, probabilistic models either reactive or anticipatory, and models based on invariance principles. The researcher will have first to do a review of the existing models and second to use existing human data to evaluate their predictive and explanatory power. He will possibly propose new experimental paradigms to better discriminate between the different models. Competences: Good mathematical proficiency is required. Familiarity with computing and modeling software is necessary. A previous experience in physiological data processing and/or multi degrees of freedom system control is a plus. Duration: One year starting at fall 2013 with a possible extension for one more year. Salary: Around 2500? per month (depending on previous experience) Please submit CV and references by mail to Pierre.Bessiere at College-de-France.fr and Jacques.Droulez at college-de-France.fr _______________________________ Dr Pierre Bessi?re - CNRS ***************************** LPPA - College de France 11 place Marcelin Berthelot 75231 Paris Cedex 05 FRANCE Mail: Pierre.Bessiere at College-de-France.fr Http://www.Bayesian-Programming.org Skype: Pierre.Bessiere _______________________________ _______________________________ Dr Pierre Bessi?re - CNRS ***************************** LPPA - College de France 11 place Marcelin Berthelot 75231 Paris Cedex 05 FRANCE Mail: Pierre.Bessiere at College-de-France.fr Http://www.Bayesian-Programming.org Tel: +33 1 44 27 16 23 Skype: Pierre.Bessiere _______________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nmmayer at gmail.com Fri Jul 19 06:21:44 2013 From: nmmayer at gmail.com (N. Michael Mayer) Date: Fri, 19 Jul 2013 18:21:44 +0800 Subject: Connectionists: CACS International Automatic Control Conference 2013 Message-ID: The 2013 CACS International Automatic Control Conference will be held at the beautiful Sun Moon Lake, Taiwan during Dec. 2-4, 2013. This conference aims to provide a broad international forum for researchers, engineers, and professionals working in the areas of automatic control, robotics and machine learning to discuss and exchange their findings, ideas, and views. The conference will focus on both the theoretical aspects and the applications in the fields of automatic control and connected topics as listed below: TOPICS Topics of interest include, but are not limited to, the following areas: Adaptive & Optimal Control Biological Systems Fuzzy Systems Guidance and Flight Control Hybrid Systems Image Processing and Control Intelligent Automation Intelligent Control Intelligent Robots Linear Systems Manufacturing System Mechatronics Motion Control Neural Networks Nonlinear Systems Power Electronics Robust Control Servo Control Signal Processing Smart Manufacturing Stochastic Systems System Identification System Modelling and Simulations AWARDS All accepted papers of CACS 2013 will be considered for the following awards: Best Paper on Theory, Best Paper on Applications, Best Student Paper. IMPORTANT DATES Submission of contributed paper due August 1, 2013 Notification of acceptance September 15, 2013 Final paper submission due October 15, 2013 Conference early registration due October 15, 2013 WEBPAGE http://cacs2013.ccu.edu.tw SPONSORS IEEE, SICE (Japan), ICROS (Korea) -------------- next part -------------- An HTML attachment was scrubbed... URL: From wray.buntine at nicta.com.au Thu Jul 18 06:50:11 2013 From: wray.buntine at nicta.com.au (Wray Buntine) Date: Thu, 18 Jul 2013 20:50:11 +1000 Subject: Connectionists: CFP+Extended Deadline : Asian Conference on Machine Learning 2013 Message-ID: <51E7C863.8090806@nicta.com.au> Call for Submissions: Asian Conference on Machine Learning 2013 Note: submission deadline extended one week to 31st July! The 5th Asian Conference on Machine Learning (ACML2013) will be held on 13-15 November 2013, at the Australian National University, Canberra, Australia. The conference aims at providing a leading international forum for researchers in machine learning and related fields to share their new ideas and achievements. To support this, a best paper award will be given, which apart from technical novelty also includes quality of the experimental work, for instance reproducibility. Moreover, as in previous years a selection of papers will be asked to submit to a special issue of the Machine Learning Journal. Submissions from other than the Asia-Pacific regions are also highly encouraged. The conference calls for research papers reporting original investigation results. http://acml2013.conference.nicta.com.au/ Organising Committee General Co-chairs: Wray Buntine (NICTA and ANU) and Bob Williamson (ANU and NICTA) PC Co-chairs: Tu Bao Ho (JAIST, Japan) and Cheng Soon Ong (NICTA) Tutorial and Workshop Chair: Lexing Xie (ANU) Publication Chair: Justin Domke (NICTA) Invited speakers Ralf Herbrich (Machine Learning Science at Amazon) Chih-Jen Lin (National Taiwan University) Geoff Holmes (University of Waikato) Important Dates Paper Submission 31 July 2013 Notification 25 Sept 2013 Conference ACML Tutorials and Workshops 13 Nov 2013 ACML Conference 14-15 Nov 2013 More Details http://acml2013.conference.nicta.com.au/call_for_papers For questions and suggestions, please write to: acml2013.program.chairs at gmail.com ________________________________ The information in this e-mail may be confidential and subject to legal professional privilege and/or copyright. National ICT Australia Limited accepts no liability for any damage caused by this email or its attachments. From contact2013 at ecvp.uni-bremen.de Fri Jul 19 05:08:16 2013 From: contact2013 at ecvp.uni-bremen.de (ECVP 2013) Date: Fri, 19 Jul 2013 11:08:16 +0200 Subject: Connectionists: ECVP - Local Guide Message-ID: <009401ce845f$818f8830$84ae9890$@ecvp.uni-bremen.de> We are happy to announce that a local guide with many hints you may feel valuable is available for download at www.ecvp.uni-bremen.de. The local guide will be part of the printed program book you'll receive with your conference material at the time of the meeting. See you soon in Bremen! ECVP 2013 Organizing Committee Udo Ernst | Cathleen Grimsen | Detlef Wegener | Agnes Janssen Universit?t Bremen / University of Bremen Zentrum f?r Kognitionswissenschaften / Center for Cognitive Sciences Hochschulring 18 28359 Bremen / Germany Website: www.ecvp.uni-bremen.de Facebook: www.facebook.com/EuropeanConferenceOnVisualPerception Contact - emails: contact2013 at ecvp.uni-bremen.de (For any comments, questions or suggestions) abstracts2013 at ecvp.uni-bremen.de (For questions regarding abstract submission) showtime2013 at ecvp.uni-bremen.de (For submitting proposals for SHOWTIME) symp2013 at ecvp.uni-bremen.de (For organization and submission of symposia) exhibition2013 at ecvp.uni-bremen.de (For any query regarding the exhibition) From christos.dimitrakakis at gmail.com Fri Jul 12 08:49:01 2013 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Fri, 12 Jul 2013 14:49:01 +0200 Subject: Connectionists: CfP: 6th ACM Workshop on Artificial Intelligence and Security Message-ID: <51DFFB3D.7060900@gmail.com> Apologies for any cross-postings *** 6th ACM Workshop on Artificial Intelligence and Security *** https://sites.google.com/site/ccsaisec2013/home Held in Conjunction with ACM CCS 2013 November 4, 2013 -- Berlin Congress Centre, Berlin, Germany *** Call for Papers *** The potential for applying artificial intelligence (AI), machine learning, and data mining to security and privacy problems is ever-more lucrative. The analytic tools and intelligent behavior provided by these techniques makes AI and learning increasingly important for autonoumous real-time analysis and decision-making in domains with a wealth of data or that require quick reactions to ever-changing situations. Particularly, these intelligent technologies offer new solutions to security problems involving Big Data analysis, which can be scaled through cloud-computing. Further, the use of learning methods in security-sensitive domains creates new frontiers for security research, in which adversaries may attempt to mislead or evade intelligent machines. The 2013 ACM Workshop on Artificial Intelligence and Security (AISec) provides a venue for presenting and discussing new developments in this fusion of security/privacy with AI and machine learning. We invite original research papers describing the use of AI or machine learning in security, privacy and related problems. We also invite position and open problem papers discussing the role of AI or machine learning in security and privacy. Submitted papers of these types may not substantially overlap papers that have been published previously or that are simultaneously submitted to a journal or conference/workshop proceedings. Finally we again welcome a ?systematization of knowledge? category of papers, which should distill the AI or machine learning contributions of a previously published series of security papers. Regular research, systematization of knowledge, and open/position paper submissions must be at most 10 pages in double-column ACM format (note: pages must be numbered) excluding the bibliography and well-marked appendices, and at most 12 pages overall. Committee members are not required to read the appendices, so the paper should be intelligible without them. Submissions need not be anonymized. We recommend the use of the ACM SIG Proceedings templates for submissions. The ACM format is the required template for the camera-ready version. Accepted papers will be published by the ACM Digital Library and/or ACM Press. Submissions can be made through EasyChair at: https://www.easychair.org/conferences/?conf=aisec2013 Topics of interest include, but are not limited to: ** Theoretical topics related to security ** * Adversarial Learning * Robust Statistics * Online Learning * Learning in stochastic games ** Security applications ** * Computer Forensics * Spam detection * Phishing detection and prevention * Botnet detection * Intrusion detection and response * Malware identification * Authorship Identification * Big data analytics for security ** Security-related AI problems ** * Distributed inference and decision making for security * Secure multiparty computation and cryptographic approaches * Privacy-preserving data mining * Adaptive side-channel attacks * Design and analysis of CAPTCHAs * AI approaches to trust and reputation * Vulnerability testing through intelligent probing (e.g. fuzzing) * Content-driven security policy management & access control * Techniques and methods for generating training and test sets * Anomalous behavior detection (e.g. for the purposes of fraud prevention, authentication) IMPORTANT DATES Paper submissions due: July 22, 2013 (23:59 PDT) Acceptance notification: August 15, 2013 Camera ready due: August 30, 2013 Workshop: November 4, 2013 ORGANIZATION General Chair - Ahmad-Reza Sadeghi TU Darmstadt | CASED | Fraunhofer SIT | Intel ICRI-SC Program Co-Chairs - Blaine Nelson University of Potsdam Christos Dimitrakakis EPFL Elaine Shi University of Maryland, College Park Program Committee - Battista Biggio University of Cagliari Ulf Brefeld Technische Universit?t Darmstadt Michael Br?ckner SoundCloud Inc. Mike Burmester Florida State University Alvaro A. C?rdenas University of Texas at Dallas Mario Frank University of California, Berkeley Rachel Greenstadt Drexel University Guofei Gu Texas A&M University Ling Huang Intel Labs Anthony Joseph University of California, Berkeley Ari Juels RSA Labs Pavel Laskov University of T?bingen Daniel Lowd University of Oregon Pratyusa Manadhata HP Labs Aikaterini Mitrokotsa HESSO-GE Roberto Perdisci University of Georgia Vasyl Pihur Google Inc. Konrad Rieck University of G?ttingen Fabio Roli University of Cagliari Benjamin I. P. Rubinstein IBM Research Robin Sommer ICSI and LBNL Nina Taft Technicolor J. D. Tygar University of California, Berkeley Shobha Venkataraman AT&T Research Ting-Fang Yen RSA Labs From miguel.nicolau at ucd.ie Fri Jul 19 14:59:31 2013 From: miguel.nicolau at ucd.ie (Miguel Nicolau) Date: Fri, 19 Jul 2013 19:59:31 +0100 Subject: Connectionists: EuroGP 2014: First CFP Message-ID: (apologies for cross-posting) ***************************************************************************** EuroGP 2014, 17th European Conference on Genetic Programming 23-25 April 2014, Baeza, Spain www.evostar.org FIRST CALL FOR PAPERS ***************************************************************************** (CFP download: www.evostar.org/flyer/EuroGP2014Flyer.pdf) SUBMISSION DEADLINE: 1 November 2014 EuroGP is the premier annual conference on Genetic Programming, attracting participants from all over the world. High quality papers describing new original research are sought on topics strongly related to the evolution of computer programs, ranging from theoretical work to innovative applications. Topics include but are not limited to: * Innovative applications of GP * Theoretical developments * GP performance and behaviour * Fitness landscape analysis of GP * Algorithms, representations and operators * Real-world applications * Evolutionary design * Evolutionary robotics * Tree-based GP and Linear GP * Graph-based GP and Grammar-based GP * Evolvable hardware * Self-reproducing programs * Multi-population GP * Multi-objective GP * Fast/Parallel GP * Probabilistic GP * Evolution of automata or machine * Software Engineering and GP * Object-oriented GP * Hybrid architectures including GP * Coevolution in GP * Modularity in GP * Semantics in GP * Unconventional evolvable computation * Automatic software maintenance * Evolutionary inductive programming In 2013, the EuroGP acceptance rate was 49% (38% for oral presentations). Accepted papers will be included in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. The papers which receive the best reviews will be nominated for the Best Paper Award. EuroGP 2013 will be co-located within the EvoStar event with four related conferences: EvoBIO, EvoCOP, EvoMUSART, and EvoApplications. Website: www.evostar.org/cfpEuroGP.html Facebook: fb.com/evostarconf Twitter: twitter.com/Evostar2014 LinkedIn: www.linkedin.com/groups/EVOstar-1908983 EuroGP programme chairs Miguel Nicolau, University College Dublin, Ireland Krzysztof Krawiec, Poznan University of Technology, Poland From jdauwels at ntu.edu.sg Sat Jul 20 06:31:06 2013 From: jdauwels at ntu.edu.sg (Justin Dauwels) Date: Sat, 20 Jul 2013 18:31:06 +0800 Subject: Connectionists: Postdoctoral Position at the SiNAPSE Institute, Singapore Message-ID: <51EA66EA.2040008@ntu.edu.sg> Title: Postdoctoral Position at the SiNAPSE Institute, Singapore Inquiries and applications are invited from highly productive, creative and ambitious young scientists for a postdoctoral fellowship in the recently launched the SiNAPSE Institute (www.sinapseinstitute.com) - a multidisplinary research Institute devoted to research on neurotechnologies, cognitive sciences, basic cellular/molecular neuroengineering, and translational and clinically motivated research at the National University of Singapore under the direction of Prof. Nitish Thakor (www.jhu.edu/nthakor). The main objectives of the research project are (but not limited to): 1. Mathematical modeling of brain connectome, 2. Mathematical modeling of neurological diseases, including spinal cord and brain injury, stroke and epilepsy 3. Principled statistical models for merging different brain imaging modalities (EEG/MEG/fMRI/DTI/single-unit recordings/...), For this project, the postdoctoral fellow is expected to interact with PIs at the SiNAPSE Institute (Profs Nitish Thakor, Angelo All, Anastasios Bezerianos, and Yen Shih-Cheng), as well as collaborators at Nanyang Technological University (Prof. Justin Dauwels and others). Candidates with a PhD degree in Mathematics, Physics, Electrical and Computer Engineering, Computer Science, Neurosciences or Neuroengineering with outstanding skills and credentials are invited to apply for appropriate positions in the Institute. SiNAPSE will focus on breakthrough research and technologies, including advanced microscale or implantable neurotechnologies, neurorehabilitation, behavioral modulation through optogenetics, cognitive sciences, novel brain machine interface, and biologically inspired neuromorphic systems and robotics. The Institute will partner with major Universities in Asia, Europe and USA (including Johns Hopkins University, UCSD, MIT, and Berkeley in the USA, EPFL and Max Plank Institute in Europe, Shanghai Jiao Tong University and Indian Institute of Technology in Asia) through collaborative and exchange programs. In Singapore, the Institute will partner and be funded by the major agencies: A*STAR, Defense Research and Technology Office (DRTech), the National University of Singapore, and the Nanyang Technological University. The researchers will have access to impressive financial and physical resources, including noninvasive human and small animal experimental facilities, laboratory instrumentation, computing and imaging resources, and additional project-specific discretionary funding. SINAPSE will provide excellent work conditions (an environment about 20 collaborative PIs and more than 100 researchers in steady state). The salaries will be internationally competitive and commensurate with experience, and health insurance coverage as well as travel to international conferences will be included. Interested researchers and fellows should contact as soon as possible Prof. Nitish Thakor (sinapsedirector at gmail.com) and Justin Dauwels (jdauwels at ntu.edu.sg) sending a CV with two external references and a letter of accomplishments, motivation and career goals. -- [cid:part5.06050106.00040607 at ntu.edu.sg] Asst. Prof. Dr. Justin Dauwels | School of Electrical and Electronic Engineering (EEE) | College of Engineering Nanyang Technological University | S2.2-B2-15, 50 Nanyang Avenue, Singapore 639798 Tel: (+65) 6790-5410 GMT+8h | Email: jdauwels at ntu.edu.sg | Web: www.dauwels.com ________________________________ 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 content. Towards A Sustainable Earth:Print Only When Necessary.Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ntulogofit2.gif Type: image/gif Size: 5503 bytes Desc: ntulogofit2.gif URL: From grlmc at urv.cat Sat Jul 20 06:46:55 2013 From: grlmc at urv.cat (GRLMC) Date: Sat, 20 Jul 2013 12:46:55 +0200 Subject: Connectionists: LATA 2014: 1st call for papers Message-ID: <8F406BBFC3B54E2891D25244829DC526@Carlos1> *To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ************************************************************************* 8th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS LATA 2014 Madrid, Spain March 10-14, 2014 Organized by: Research Group on Implementation of Language-Driven Software and Applications (ILSA) Complutense University of Madrid Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University http://grammars.grlmc.com/lata2014/ ********************************************************************* AIMS: LATA is a yearly conference on theoretical computer science and its applications. Following the tradition of the diverse PhD training events in the field developed at Rovira i Virgili University in Tarragona since 2002, LATA 2014 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from both classical theory fields and application areas (bioinformatics, language technology, artificial intelligence, etc.). VENUE: LATA 2014 will take place in Madrid, the capital of Spain. The venue will be the School of Informatics of Complutense University. SCOPE: Topics of either theoretical or applied interest include, but are not limited to: algebraic language theory algorithms for semi-structured data mining algorithms on automata and words automata and logic automata for system analysis and programme verification automata, concurrency and Petri nets automatic structures cellular automata codes combinatorics on words compilers computability computational complexity data and image compression decidability issues on words and languages descriptional complexity DNA and other models of bio-inspired computing digital libraries and document engineering foundations of finite state technology foundations of XML fuzzy and rough languages grammars (Chomsky hierarchy, contextual, unification, categorial, etc.) grammatical inference and algorithmic learning graphs and graph transformation language varieties and semigroups language-based cryptography language-theoretic foundations of artificial intelligence and artificial life natural language and speech automatic processing parallel and regulated rewriting parsing patterns power series quantum, chemical and optical computing semantics string and combinatorial issues in computational biology and bioinformatics string processing algorithms symbolic dynamics symbolic neural networks term rewriting transducers trees, tree languages and tree automata weighted automata STRUCTURE: LATA 2014 will consist of: invited talks invited tutorials peer-reviewed contributions INVITED SPEAKERS: to be announced PROGRAMME COMMITTEE: Dana Angluin (Yale, US) Eugene Asarin (Paris Diderot, FR) Jos Baeten (Amsterdam, NL) Christel Baier (Dresden, DE) Jan Bergstra (Amsterdam, NL) Jin-Yi Cai (Madison, US) Marek Chrobak (Riverside, US) Andrea Corradini (Pisa, IT) Mariangiola Dezani (Turin, IT) Ding-Zhu Du (Dallas, US) Michael R. Fellows (Darwin, AU) J?rg Flum (Freiburg, DE) Nissim Francez (Technion, IL) J?rgen Giesl (Aachen, DE) Annegret Habel (Oldenburg, DE) Kazuo Iwama (Kyoto, JP) Sampath Kannan (Philadelphia, US) Ming-Yang Kao (Northwestern, US) Deepak Kapur (Albuquerque, US) Joost-Pieter Katoen (Aachen, DE) S. Rao Kosaraju (Johns Hopkins, US) Evangelos Kranakis (Carleton, CA) Gad M. Landau (Haifa, IL) Andrzej Lingas (Lund, SE) Jack Lutz (Iowa State, US) Ian Mackie (?cole Polytechnique, FR) Carlos Mart?n-Vide (Tarragona, ES, chair) Giancarlo Mauri (Milan, IT) Faron G. Moller (Swansea, UK) Paliath Narendran (Albany, US) Enno Ohlebusch (Ulm, DE) Helmut Prodinger (Stellenbosch, ZA) Jean-Fran?ois Raskin (Brussels, BE) Wolfgang Reisig (Humboldt Berlin, DE) Marco Roveri (Bruno Kessler, Trento, IT) Micha?l Rusinowitch (LORIA, Nancy, FR) Yasubumi Sakakibara (Keio, JP) Davide Sangiorgi (Bologna, IT) Colin Stirling (Edinburgh, UK) Jianwen Su (Santa Barbara, US) Jean-Pierre Talpin (IRISA, Rennes, FR) Andrzej Tarlecki (Warsaw, PL) Rick Thomas (Leicester, UK) Sophie Tison (Lille, FR) Rob van Glabbeek (NICTA, Sydney, AU) Helmut Veith (Vienna Tech, AT) ORGANIZING COMMITTEE: Adrian Horia Dediu (Tarragona) Ana Fern?ndez-Pampill?n (Madrid) Carlos Mart?n-Vide (Tarragona, co-chair) Antonio Sarasa (Madrid) Jos?-Luis Sierra (Madrid, co-chair) Bianca Truthe (Magdeburg) Florentina Lilica Voicu (Tarragona) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (including eventual appendices) and should be formatted according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://www.easychair.org/conferences/?conf=lata2014 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference. A special issue of a major journal will be later published containing peer-reviewed extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The period for registration is open from July 15, 2013 to March 10, 2014. The registration form can be found at: http://grammars.grlmc.com/lata2014/Registration.php DEADLINES: Paper submission: October 14, 2013 (23:59 CET) Notification of paper acceptance or rejection: November 25, 2013 Final version of the paper for the LNCS proceedings: December 2, 2013 Early registration: December 9, 2013 Late registration: February 24, 2014 Starting of the conference: March 10, 2014 End of the conference: March 14, 2014 Submission to the post-conference journal special issue: June 14, 2014 QUESTIONS AND FURTHER INFORMATION: florentinalilica.voicu at urv.cat POSTAL ADDRESS: LATA 2014 Research Group on Mathematical Linguistics (GRLMC) Rovira i Virgili University Av. Catalunya, 35 43002 Tarragona, Spain Phone: +34-977-559543 Fax: +34-977-558386 ACKNOWLEDGEMENTS: Departament d?Economia i Coneixement, Generalitat de Catalunya Universidad Complutense de Madrid Universitat Rovira i Virgili From odobez at idiap.ch Mon Jul 22 09:46:31 2013 From: odobez at idiap.ch (Jean-Marc Odobez) Date: Mon, 22 Jul 2013 15:46:31 +0200 Subject: Connectionists: JOB: IDIAP/EPFL (CH) : Postdoc in multimedia retrieval and computer vision Message-ID: <51ED37B7.8040308@idiap.ch> ------------------------------------------------------- Postdoctoral position in multimedia retrieval and computer vision at IDIAP (LIdiap's EPFL laboratory), Switzerland ------------------------------------------------------- The LIdiap's EPFL laboratory is looking for a highly motivated candidate for a postdoctoral position in computer vision and multimedia retrieval. The work will take place in the context of a project recently funded by the European Community, whose main goal is to leverage multimodal content analysis (audio/speech/video/text) along with social media data to address contextual media retrieval and recommendation tasks. Idiap will address the extraction of video concepts and their use in the envisioned application. The project involves academic partners in Spain, France and Germany as well as a news agency and a video content managing company. The ideal postdoctoral candidate is expected to have a PhD in computer science or electrical engineering with a strong background in one or more of the following topics: multimedia indexing and retrieval, computer vision, machine learning, automatic image or video annotation. Prior participation in international evaluation campaigns like Trecvid or MediaEval will be a plus. The applicant should have strong programming skills and be familiar with C/C++ and the Linux environment. The starting date is December 2013. The position is for up to 3 years. Salaries are competitive. Interested candidates should a email a letter of motivation, a detailed CV, and the names of three references to: Jean-Marc Odobez (odobez at idiap.ch, tel : +41 (0)27 721 77 26) Daniel Gatica-Perez (gatica at idiap.ch) Idiap (EPFL's Lidiap laboratory, idiap.epfl.ch) is located in Martigny in Valais, a scenic region in French-speaking Switzerland surrounded by the highest mountains of Europe, which offers multiple recreational activities,including hiking, climbing, and skiing, as well as varied cultural activities, all within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and offers a young, multicultural environment where English is the main working language. -- Jean-Marc Odobez, IDIAP Senior Researcher, EPFL Maitre d'Enseignment de Recherche (MER) IDIAP Research Institute (http://www.idiap.ch) Tel: +41 (0)27 721 77 26 Email: Jean-Marc.Odobez at idiap.ch Web: http://www.idiap.ch/~odobez From mpavone at dmi.unict.it Sun Jul 21 04:55:23 2013 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sun, 21 Jul 2013 10:55:23 +0200 Subject: Connectionists: Call-for-Abstract for the Workshop "What can Synthetic Biology offer to Artificial Intelligence? Perspectives in the Bio-Chem-ICT and other scenarios" Message-ID: <20130721105523.Horde.MPehSuph4B9R66H7rk2lD-A@mbox.dmi.unict.it> Workshop announcement "What can Synthetic Biology offer to Artificial Intelligence? Perspectives in the Bio-Chem-ICT and other scenarios" a satellite workshop of the 12th European Conference on Artificial Life (ECAL 2013, http://www.dmi.unict.it/ecal2013/) Taormina, September 6th 2013 (2.30 pm - 6.30 pm) Organized by Luisa Damiano (University of Bergamo) Pasquale Stano (University of Roma 3) Yutetsu Kuruma (University of Tokyo) Call for papers is open! Deadline: August 15, 2013 Website http://www.plluisi.org/ecal2013/SB-AI_satellite_ecal2013.htm Traditionally Artificial Intelligence (AI) research, broadly conceived as the study of intelligence through the construction of artificial models of natural cognitive systems, has been developed in the context of computer science and robotics. Today the scientific and technical advancements of biological sciences, leading to the emergence of Synthetic Biology (SB) conceived as the chemical synthesis of biological parts/systems/processes, allow the scientific community to extend AI research within the field of experimental biology. The workshop aims at offering an interdisciplinary forum in which nascent programs involving cooperation between SB and AI in the exploration of biological and cognitive processes can be discussed in their groundings, their procedures, their possibilities and their limits, as well as enriched through scientific exchange of ideas. The main focus will be on current and possible applications in AI research of the emerging bio-chemical based Information and Communication Technologies (ICT), founded on the convergence of biological, chemical, physical approaches, often in combination with progresses in miniaturization like micro-fluidic devices and Micro Electro-Mechanical Systems (MEMS). But the workshop is interested also in introducing and discussing other actual and possible approaches and research programs which involve SB in AI research. Most of the participants will have a SB, AI, and/or bio-chem-ICT background, or come from scientific disciplines dealing with theoretical, epistemological and/or experimental issues related to the synthetic study of life and cognition. Our goal is to stimulate the interaction between applied research and theoretical/epistemological reflections, and to promote a front line in SB and AI that focuses on (some of) these questions, and related ones: 1) Can intelligence be studied through the construction and exploration of synthetic biological systems and processes? In which conditions? More specifically: What SB, and in particular its bio-chem-ICT tools and issues, can offer to AI? 2) Which are the groundings, procedures, possibilities, limits, expected results, and impacts of current and possible research programs involving SB in AI research? How AI will advance by encompassing SB and bio-chem-ICT approaches? 3) Can we nowadays plan concrete collaborations between computer science, robotics and SB in the scientific study natural forms of intelligence? How? 4) Are the emerging directions of research in AI (such as embodied AI, enactive AI, soft robotics, ?) good candiddate to cooperate with SB in the exploration of natural forms of cognition? Can SB contribute to the development of artificial forms of cognition (artificial cognitive systems which do not model natural cognitive systems)? The workshop intends to bring together researchers interested in investigating one or more of these aspects of the (possible/actual) relationships between SB and AI. The aim is developing an interdisciplinary dialogue able to promote the reflected involvement of SB in AI, and to create a interdisciplinary community concretely developing research programs based on the cooperation of SB and AI. Organized by Luisa Damiano (University of Bergamo) luisa.damiano at gmail.com Pasquale Stano (University of Roma Tre) pasquale.stano at uniroma3.it Yutetsu Kuruma (University of Tokyo) kuruma at k.u-tokyo.ac.jp -------------- next part -------------- A non-text attachment was scrubbed... Name: CFPJuly_What_can_Synthetic_Biology_Offer_to_AI_ECAL_2013.pdf Type: application/pdf Size: 103702 bytes Desc: CFPJuly_What_can_Synthetic_Biology_Offer_to_AI_ECAL_2013.pdf URL: From areynolds2 at vcu.edu Mon Jul 22 16:18:38 2013 From: areynolds2 at vcu.edu (Angela M Reynolds) Date: Mon, 22 Jul 2013 16:18:38 -0400 Subject: Connectionists: Conference Announcement: Nonlinear dynamics and stochastic methods: from neuroscience to other biological applications Message-ID: Nonlinear dynamics and stochastic methods: from neuroscience to other biological applications In honor of G. Bard Ermentrout's 60th Birthday March 10-12, 2014 Pittsburgh, PA This conference on nonlinear dynamics and stochastic methods will bring together a mix of senior and junior scientists to report on theoretical methods that proved successful in mathematical neuroscience, and to encourage their dissemination and application to modeling in computational medicine and other biological fields. This conference will coincide with a celebration of G. Bard Ermentrout's sixtieth birthday. The invited speakers will present on mathematical topics such as dynamical systems, multi-scale modeling, phase resetting curves, pattern formation and statistical methods. The mathematical tools will be demonstrated in the context of the following main topics: i) Rhythms in biological systems; ii) The geometry of systems with multiple time scales; iii) Pattern formation in biological systems; iv) Stochastic models: statistical methods and mean field approximations. The conference runs from March 10-12, 2014 at the University of Pittsburgh, Pittsburgh, PA. Travel support may become available for young investigators. Currently, this conference is partial funded by the Mathematical Biosciences Institute and the University of Pittsburgh. Invited Speakers (to be confirmed): Paul Bressloff (University of Utah) Carson Chow (National Institutes of Health) Sharon Crook (Arizona State University) Jack Cowan (University of Chicago) Jonathan Drover (Cornell Medical College, NYC) Leah Edelstein-Keshet (University of British Columbia, Vancouver - Canada) Roberto Fernandez Galan (Case Western Reserve University) Pranay Goel (Indian Institute of Science, Education and Research, Pune - India) Boris Gutkin (Ecole Normale Superieure/ ENS, Paris - France) Zachary Kilpatrick (University of Houston) Nancy Kopell (Boston University) Cheng Ly (Virginia Commonwealth University) Remus Osan (Georgia State University) George Oster (University of California, Berkeley) John Rinzel (New York University) Jonathan Rubin (University of Pittsburgh) Daniel Simons (University of Pittsburgh) David Terman (Ohio State University) More information will soon be available via a webpage. If you have questions now please contact one of the organizers, Angela Reynolds, areynolds at vcu.edu, or Rodica Curtu, rodica-curtu at uiowa.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kido.hiroyuki at gmail.com Tue Jul 23 08:35:54 2013 From: kido.hiroyuki at gmail.com (Hiroyuki Kido) Date: Tue, 23 Jul 2013 21:35:54 +0900 Subject: Connectionists: AAA 2013 CFP: 1st International Workshop on Argument for Agreement and Assurance Message-ID: Apologies for cross-postings. ================================================================= 1st International Workshop on Argument for Agreement and Assurance (AAA 2013) Kanagawa, Japan October 27-28, 2013 http://www.panda.sys.t.u-tokyo.ac.jp/kido/AAA2013/ ================================================================= OVERVIEW: ---------------- Submissions are invited for the 1st International Workshop on Argument for Agreement and Assurance (AAA 2013). The workshop will be held in Keio University Hiyoshi Campus, Kanagawa, Japan, on October 27-28, 2013, as part of the Japanese Society for Artificial Intelligence international symposia on AI (JSAI-isAI) 2013. Argumentation has now become an interdisciplinary challenging research area in AI aiming at formalizing various aspects of human or/and computer software argument in terms of computation, and applying those knowledge to various fields. Scope of argumentation in AI includes human arguments appeared in television, newspapers, WWW, etc. and also artificial arguments constructed from structured knowledge with logical language and inference rules. Results of argumentation in AI are widely applicable to various fields such as consensus building, agreement formation, multiagent systems, semantic web, recommendation systems, argument mining, learning, belief revisions, chance discovery, safety engineering, etc. In particular, safety engineering is a research area that is interested in the use of an evidence-based argument often called a safety case, assurance case or dependability case. Nowadays, it is becoming necessary for certification bodies to issue a license to developing and operating bodies, for system stakeholders to make agreement, for system administrators to achieve accountability, etc. AAA 2013 contributes to deepen mutual understanding between researchers working on argumentation theory in AI and researchers working on agreement and assurance technologies through arguments. AAA 2013 solicits contributions from broad range of researchers related to argumentation in AI and especially welcomes contributions across argumentation and systems assurance. AAA 2013 seeks high-quality original submission of full papers limited to 14 pages including figures, references, etc. All submissions will be rigorously peer reviewed with double blind. Selected papers will be included in JSAI-isAI 2013 post-proceedings as a volume of LNAI published by Springer Verlag. AIMS AND SCOPE: -------------------------- AAA 2013 aims to deepen mutual understanding between researchers working on argumentation theory in AI and researchers working on agreement and assurance technologies through arguments, and to share current limitations and problems of argumentation in AI in terms of both theory and practice. Topics of interest include but are not limited to the following: - Abstract and structured argumentation systems including studies of frameworks, proof-theories, semantics, complexity, etc. - Dialogue systems for persuasion, negotiation, deliberation, eristic, information-seeking dialogues, etc. - Applications of argumentation and dialogue systems to various fields such as agreement technologies, systems assurance, safety engineering, multi-agent systems, practical reasoning, belief revision, learning, semantic web, etc. - Agreement and assurance technologies through arguments including safety cases, assurance cases and dependability cases, etc. - Tools for argumentation systems, dialogue systems, argument-based stakeholders' agreement, argument-based accountability achievement, argument-based open systems dependability, argument-based verification and validation, etc. IMPORTANT DATES: ---------------------------- - Workshop Submission Deadline: August 10, 2013 - Workshop Author Notification: September 15, 2013 - Workshop Camera-ready: September 30, 2013 - Workshop Date: October 27-28, 2013 SUBMISSION INSTRUCTIONS: ------------------------------------------ We welcome and encourage the submission of high quality, original papers, which are not simultaneously submitted for publication elsewhere. Papers should be written in English, formatted according to the Springer Verlag LNCS style in a pdf form, which can be obtained from Springer Online, and not exceed 14 pages including figures, references, etc. If you use a word file, please follow the instruction of the format, and then convert it into a pdf form. Here is the submission page. https://www.easychair.org/account/signin.cgi?conf=aaa2013 If a paper is accepted, at least one author of the paper must register the workshop and present it. PROCEEDINGS: ---------------------- A printed volume of the proceedings will be available at the workshop. Springer Verlag has agreed to publish selected papers of the workshop in the JSAI-isAI 2013 post-proceedings as a volume of LNAI. Thus, the authors of papers presented at the workshop will be asked to extend their contributions, possibly incorporating the results of the workshop discussion, to be included in the workshop post-proceedings, after another round of refereeing. VENUE: ---------- The workshop will be held at Raiosha Building, Keio University, Kanagawa, JAPAN. ORGANIZING COMMITTEE: -------------------------------------- - Kenji Taguchi (AIST, Japan) - Yoshiki Kinoshita (Kanagawa Univ., Japan) - Kazuko Takahashi (Kwansei Gakuin Univ., Japan) - Hiroyuki Kido (Univ. of Tokyo, Japan) PROGRAMME COMMITTEE: --------------------------------------- - Takashi Kitamura (AIST, Japan) - Sarah Alice Gaggl (Technische Universit?t Dresden, Germany) - Guillermo Ricardo Simari (Universidad Nacional del Sur, Argentina) - Paolo Torroni (Univ. of Bologna, Italy) - Gabriele KernIsberner (Technische Universitaet Dortmund, Germany) - Ken Satoh (National Institute of Informatics, Japan) - Chiaki Sakama (Wakayama Univ., Japan) - Toshinori Takai (Nara Institute of Science and Technology, Japan) - Antonis Kakas (Univ. of Cyprus, Cyprus) - Iyad Rahwan (Masdar Institute of Science & Technology, UAE) - Pavlos Moraitis (Paris Descartes Univ., France) - Stefan Woltran (Vienna Univ. of Technology, Austria) - Phan Minh Dung (Asian Institute of Technology, Thailand) - Juergen Dix (Clausthal Univ. of Technology, Germany) - Martin Caminada (Univ. of Aberdeen, UK) - Makoto Takeyama (Kanagawa Univ., Japan) - Kenji Taguchi (AIST, Japan) - Yoshiki Kinoshita (Kanagawa Univ., Japan) - Kazuko Takahashi (Kwansei Univ., Japan) - Hiroyuki Kido (Univ. of Tokyo, Japan) - Shuichiro Yamamoto (Nagoya Univ., Japan) - Yutaka Matsuno (Univ. of Electro-Communications, Japan) - Tim Kelly (Univ. of York, UK) - John Rushby (SRI, USA) - John Knight (Univ. of Virginia, USA) - Ewen Denney (NASA/Ames, USA) - Charles Weinstock (SEI, USA) - Robin Bloomfield (City Univ. of London, UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From irodero at cac.rutgers.edu Tue Jul 23 10:33:34 2013 From: irodero at cac.rutgers.edu (Ivan Rodero) Date: Tue, 23 Jul 2013 10:33:34 -0400 Subject: Connectionists: CFP: First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE) In-Reply-To: <4E0CEB57-9853-4657-8927-4E54E1236EDA@rutgers.edu> References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu> <6F339279-23CD-4553-95DF-B1F906F948E3@rutgers.edu> <4E0CEB57-9853-4657-8927-4E54E1236EDA@rutgers.edu> Message-ID: ------------------------------------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of this CFP! ------------------------------------------------------------------------------------------------------ First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE) http://wssspe.researchcomputing.org.uk/ (in conjunction with SC13) Sunday, November 17, 2013, Denver, CO Progress in scientific research is dependent on the quality and accessibility of software at all levels and it is now critical to address many new challenges related to the development, deployment, and maintenance of reusable software. In addition, it is essential that scientists, researchers, and students are able to learn and adopt a new set of software-related skills and methodologies. Established researchers are already acquiring some of these skills, and in particular a specialized class of software developers is emerging in academic environments who are an integral and embedded part of successful research teams. This workshop will provide a forum for discussion of the challenges, including both positions and experiences. The short papers and discussion will be archived as a basis for continued discussion, and we intend the workshop to feed into the collaborative writing of one or more journal publications. In practice, scientific software activities are part of an ecosystem where key roles are held by developers, users, and funders. All three groups supply resources to the ecosystem, as well as requirements that bound it. Roughly following the example of NSF's Vision and Strategy for Software (http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf12113), the ecosystem may be viewed as having challenges related to: * the development process that leads to new software - how fundamental research in computer science or science/engineering domains is turned into reusable software - software created as a by-product of research - impact of computer science research on the development of scientific software * the support and maintenance of existing software, including - software engineering - governance, business, and sustainability models - the role of community software repositories, their operation and sustainability * the role of open source communities or industry * use of the software - growing communities - reproducibility, transparency needs that may be unique to science * policy issues, such as - measuring usage and impact - software credit, attribution, incentive, and reward - career paths for developers and institutional roles - issues related to multiple organizations and multiple countries, such as intellectual property, licensing, etc. - mechanisms and venues for publishing software, and the role of publishers * education and training This workshop is interested in all of the above topics. We invite short (4-page) position/experience reports that will be used to organize panel and discussion sessions. These papers will be archived by a third-party service, and provided DOIs. We encourage submitters to license their papers under a Creative Commons license that encourages sharing and remixing, as we will combine ideas (with attribution) into the outcomes of the workshop. An interactive site will be created to link these papers and the workshop discussion, with options for later comments and contributions. Contributions will be peer-reviewed for relevance and originality before the links are added to the workshop site; contributions will also be used to determine discussion topics and panelists. We will also plan one or more papers to be collaboratively developed by the contributors, based on the panels and discussions. Deadline: 6 September 2013 (any time of day, no extensions) Submissions: Submissions of up to four pages should be formatted to be easily readable and submitted to an open access repository that provides unique identifiers that can be cited, for example http://arXiv.org, http://figshare.com, etc. The submitter should then email the URL and identifier (or any questions) to wssspe at gmail.com Organizers: * Daniel S. Katz, d.katz at ieee.org, National Science Foundation, USA * Gabrielle Allen, allen at skoltech.ru, Skolkovo Institute of Science and Technology, Russian Federation * Neil Chue Hong, N.ChueHong at software.ac.uk, Software Sustainability Institute, University of Edinburgh, UK * Manish Parashar, parashar at rutgers.edu, Rutgers University, USA * David Proctor, djproctor at gmail.com, National Science Foundation, USA Program Committee: * David Abramson, University of Queensland, Australia * Aron Ahmadia, King Abdullah University of Science & Technology, Saudi Arabia * Samuel Arbesman, Ewing Marion Kauffman Foundation, USA * Lorena A. Barba, Boston University, USA * Phil Bourne, University of California, San Diego, USA * Karen Cranston, National Evolutionary Synthesis Center, USA * Ewa Deelman, University of Southern California, USA * David De Roure, University of Oxford, UK * Alberto Di Meglio, CERN, Switzerland * Anshu Dubey, Lawrence Berkeley National Laboratory, USA * Victor Eruhimov, Itseez, Russian Federation * David Gavaghan, University of Oxford, UK * Paul Ginsparg, Cornell University, USA * Alexander A. Granovsky, Firefly project, Russian Federation * Josh Greenberg, Alfred P. Sloan Foundation, USA * Sol Greenspan, National Science Foundation, USA * James Herbsleb, Carnegie Mellon University, USA * James Hetherington, University College London, UK * James Howison, University of Texas at Austin, USA * Frank L?ffler, Louisiana State University, USA * Greg Madey, University of Notre Dame, USA * Chris A. Mattmann, NASA JPL & University of Southern California, USA * Lois Curfman McInnes, Argonne National Laboratory, USA * Chris Mentzel, Gordon and Betty Moore Foundation, USA * Peter Murray-Rust, University of Cambridge, UK * Cameron Neylon, PLOS, UK * Mark Plumbley, Queen Mary University of London, UK * Andreas Prlic, University of California, San Diego, USA * Morris Riedel, Juelich Supercomputing Centre, Germany * Jennifer M. Schopf, IEEE Computer Society, USA * Edgar Spalding, University of Wisconsin, USA * Victoria Stodden, Columbia University, USA * Matthew Turk, Columbia University, USA * Greg Watson, IBM, USA * Scott Wilson, OSS Watch, UK * Theresa Windus, Iowa State University and Ames Laboratory, USA ============================================================= Ivan Rodero, Ph.D. Rutgers Discovery Informatics Institute (RDI2) NSF Center for Cloud and Autonomic Computing (CAC) Department of Electrical and Computer Engineering Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 625 94 Brett Road, Piscataway, NJ 08854-8058 Phone: (732) 993-8837 Fax: (732) 445-0593 Email: irodero at rutgers dot edu WWW: http://nsfcac.rutgers.edu/people/irodero ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From bkasap at gmail.com Tue Jul 23 10:33:46 2013 From: bkasap at gmail.com (Bahadir Kasap) Date: Tue, 23 Jul 2013 16:33:46 +0200 Subject: Connectionists: Donders Discussions 2013 Message-ID: We are pleased to announce the *Donders Discussions 2013*: a two-day conference for PhD students in all fields of (cognitive) neuroscience which will take place on *October 31**st** and November 1**st** in Nijmegen, The Netherlands*. The aim of the Donders Discussions is to bring PhD students together in an informal, interdisciplinary atmosphere. Last year we welcomed over 150 participants from all over Europe. We invite you to join us and make this year?s edition an even bigger success! Our exciting program features brains of many kinds, including *baby*brains, *sleeping*, *stressed* and *disordered* brains, *linguistic*, *attentive*and *aging* brains, and of course *investigated* brains (where we review methodological innovations). We also offer interactive workshops on science communication and career management. For more information and registration please visit * www.ru.nl/dondersdiscussions*. We warmly invite all participants to submit a poster abstract. The deadline is *September 16*, but registration may close earlier if the maximum number of participants has been reached. The registration fee is ?45. For the latest updates and special offers, join us on facebook ( facebook.com/dondersdiscussions2013) or twitter (discussions2013)! Please do not hesitate to contact us for any inquiry: discussions2013 at donders.ru.nl Donders Discussions Organization Committee http://www.ru.nl/dondersdiscussions discussions2013 at donders.ru.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Wed Jul 24 22:39:16 2013 From: evomusart at gmail.com (Juan Romero) Date: Thu, 25 Jul 2013 03:39:16 +0100 Subject: Connectionists: CFP - evoMUSART2014 Message-ID: ---------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------- CALL FOR PAPERS evomusart 2014 http://www.evostar.org/cfpEvoMUSART.html 3rd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design April 2014, Baetha, Andalusia, Spain Part of evo* 2014 evo*: http://www.evostar.org ---------------------------------------------------------------------------- New this year: Special track on Artificial Neural Networks applied to Music, Sound, Art and Design ---------------------------------------------------------------------------- Following the success of previous events and the importance of the field of evolutionary and biologically inspired (artificial neural network, swarm, alife) music, sound, art and design, evomusart has become an evo* conference with independent proceedings since 2012. Thus, evomusart 2014 is the twelfth European Event and the third International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design. The use of biologically inspired techniques for the development of artistic systems is a recent, exciting and significant area of research. There is a growing interest in the application of these techniques in fields such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks. The main goal of evomusart 2014 is to bring together researchers who are using biologically inspired computer techniques for artistic tasks, providing the opportunity to promote, present and discuss ongoing work in the area. The event will be held in April, 2014 in Baetha, Andalusia, Spain, as part of the evo* event. ---------------------------------------------------------------------------- Publication Details ---------------------------------------------------------------------------- Submissions will be rigorously reviewed for scientific and artistic merit. Accepted papers will be presented orally or as posters at the event and included in the evomusart proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. The acceptance rate at evomusart 2013 was 30.5% for papers accepted for oral presentation, or 44.4% for oral and poster presentation combined. The evomusart 2013 submissions received on average 3.4 reviews each. New this year: submitters are strongly encouraged to provide in all papers a link for download of media demonstrating their results, whether music, images, video, or other media types. Links should be anonymised for double-blind review, e.g. using a URL shortening service. ---------------------------------------------------------------------------- Topics of interest ---------------------------------------------------------------------------- Submissions should concern the use of biologically inspired computer techniques -- e.g. Evolutionary Computation, Artificial Life, Artificial Neural Networks, Swarm Intelligence, other artificial intelligence techniques -- in the generation, analysis and interpretation of art, music, design, architecture and other artistic fields. Topics of interest include, but are not limited to: -- Generation - Biologically Inspired Design and Art -- Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; - Biologically Inspired Sound and Music -- Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; - Robotic-Based Evolutionary Art and Music; - Other related artificial intelligence or generative techniques in the fields of Computer Music, Computer Art, etc.; -- Theory - Computational Aesthetics, Experimental Aesthetics; Emotional Response, Surprise, Novelty; - Representation techniques; - Surveys of the current state-of-the-art in the area; identification of weaknesses and strengths; comparative analysis and classification; - Validation methodologies; - Studies on the applicability of these techniques to related areas; - New models designed to promote the creative potential of biologically inspired computation; -- Computer Aided Creativity and computational creativity - Systems in which biologically inspired computation is used to promote the creativity of a human user; - New ways of integrating the user in the evolutionary cycle; - Analysis and evaluation of: the artistic potential of biologically inspired art and music; the artistic processes inherent to these approaches; the resulting artefacts; - Collaborative distributed artificial art environments; -- Automation - Techniques for automatic fitness assignment; - Systems in which an analysis or interpretation of the artworks is used in conjunction with biologically inspired techniques to produce novel objects; - Systems that resort to biologically inspired computation to perform the analysis of image, music, sound, sculpture, or some other types of artistic object. ---------------------------------------------------------------------------- Important Dates (to be confirmed) ---------------------------------------------------------------------------- Submission: November 1 2013 Notification to authors: December 2013 Camera-ready deadline: January 2014 Evo*: April 2014 ---------------------------------------------------------------------------- Additional information and submission details ---------------------------------------------------------------------------- Submit your manuscript, at most 12 A4 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) no later than November 1, 2013 (date to be confirmed). Submission link: http://myreview.csregistry.org/evomusart14 page limit: 12 pages The reviewing process will be double-blind; please omit information about the authors in the submitted paper. ---------------------------------------------------------------------------- Programme committee ---------------------------------------------------------------------------- To be confirmed ---------------------------------------------------------------------------- Conference chairs ---------------------------------------------------------------------------- Juan Romero University of A Coruna, Spain jj(at)udc.es James McDermott University College Dublin, Ireland jmmcd(at)jmmcd.net Publication chair Joao Correia, University of Coimbra jncor(at)dei.uc.pt From nico.schmidt at uzh.ch Wed Jul 24 04:53:29 2013 From: nico.schmidt at uzh.ch (Nico Schmidt) Date: Wed, 24 Jul 2013 10:53:29 +0200 Subject: Connectionists: Deadline approaching: eSMCs robotics summer school on embodiment and morphological computation Message-ID: <51EF9609.2080308@uzh.ch> !Application deadline is 31.7.2013! eSMCs Summer School 2013 on Embodiment and Morphological Computation, September 22-28,2013 _summerschool2013.esmcs.eu_ *Invitation* We cordially invite you to the summer school "Embodiment and Morphological Computation", which will take place at the University of Zurich, Switzerland in September 2013. The school will give a comprehensive overview of the state-of-the art in the fields of embodied cognition, morphological computation and neuronal mechanisms of enactive cognition. In addition it aims at connecting renowned researchers in the field with students and post-docs who are interested in the corresponding subjects. The school will be the third in a series of summer schools funded and organized by the EU FP-7 project "Extending sensorimotor contingencies to cognition - eSMCs" (esmcs.eu ). This year the school is jointly organized by the Artificial Intelligence Lab at the University of Zurich (www.ailab.ch ) and the Dept. of Neurophysiology at the UKE Hamburg (uke.de/neurophysiology ). *Content* The five-day school will be structured around the following themes: 1. embodiment and morphology 2. active perception and sensorimotor contingencies 3. information theory 4. neuroscience of motor cognition 5. embodiment and awareness The school will comprise keynote lectures in the mornings and workshops in the afternoons, which serve for in-depth discussions of topics from the keynote lectures. The workshops will feature hands-on tutorials where students will have the opportunity to build their own robots using the robotic toolkit EmbedIT (embed-it.ch/ ) to study the impact of morphology on locomotion behavior. Participation in the school will be free of charge, but participants will have to cover their own expenses. *Confirmed Speakers:* Auke Iijspeert, EPFL Lausanne, Switzerland. Josh Bongard, University of Vermont, USA Fumiya Ida, ETH Zurich, Switzerland Marek McGann, Mary Immaculate College, Limerick, Ireland Wolfgang Prinz, University of M?nster, Germany Daniel Polani, University of Hertfordshire, UK Rajesh Rao, University of Washington, USA Ricarda Schubotz, University of M?nster, Germany Angelo Maravita, University of Milano-Bicocca, Italy Catherine Tallon-Baudry, ?cole Normale Sup?rieure, Paris, France Herbert Peremans, University of Antwerp, Belgium Rolf Pfeifer, University of Zurich, Switzerland Helmut Hauser, University of Zurich, Switzerland *Important dates:* - Application deadline: 31.7.2013 - Notification of acceptance: 9.8.2013 - Summer school: 22.9.-28.9.2013 *How to apply:* The school is open to 50 PhD students and post-docs who are working on the themes addressed. Interested participants shall submit written information on their scientific background, projects involved, and motivation to attend. Admission will be on a competitive basis. Applications should be sent via email to esmcs-summerschool at ifi.uzh.ch . Please state on a single page (11pt font): -Your scientific background and degree -Your motivation to come to this school -The topic of your thesis -Any prior knowledge in the field Participation in the school is free. *Further Information**:* All relevant information can be found at summerschool2013.esmcs.eu . For further questions, please don't hesitate to contact us (esmcs-summerschool at ifi.uzh.ch ). Previous schools in this series were "The future of the embodied mind", held 2011 in San Sebasti?n, Spain (summerschool2011.esmcs.eu/ ), and a conjunction with the "Barcelona cognition, brain and technology summer school" in 2012 (bcbt.upf.edu/bcbt11/ ). On behalf of the eSMCs consortium, Rolf Pfeifer, AI-Lab, University of Zurich Andreas Engel, Dept. of Neurophysiology, UKE Hamburg -- Nico Schmidt, Ph.D. Student Artificial Intelligence Laboratory Dept. of Informatics, University of Zurich Andreasstr. 15, CH-8050 Zurich, Switzerland Phone: +41 (0) 44 63 54563 Fax: +41 (0) 44 63 54507 Email: nico.schmidt at uzh.ch Web: http://www.ifi.uzh.ch/ailab/nschmidt -------------- next part -------------- An HTML attachment was scrubbed... URL: From mptouzel at nld.ds.mpg.de Wed Jul 24 08:33:41 2013 From: mptouzel at nld.ds.mpg.de (Maximilian Puelma Touzel) Date: Wed, 24 Jul 2013 14:33:41 +0200 Subject: Connectionists: Goettingen Comp Neuro School: final call for applications, deadline August 5th. Message-ID: <013401ce886a$0bbe12c0$233a3840$@nld.ds.mpg.de> ????? Final call for applications to the 11th summer course on ???????? COMPUTATIONAL NEUROSCIENCE in G?ttingen, Germany ????????????????? September 02rd - 06th, 2013 ????????????????? organized by? David Hofmann ????????????????????????? Agostina Palmigiano ???????????????????? Maximilian Puelma-Touzel The course provides graduate students and young researchers from all parts of neuroscience with some working knowledge of theoretical and computational methods in neuroscience and to acquaint them with recent developments in these fields. The course includes tutorials and lectures by the following researchers: ?? * Nancy Kopell, Boston University, USA ?Brain Rhythms: Mechanisms and Function" ?? * Naftali Tishby, Hebrew University, Israel "Information, Control and Learning: Theory of Perception-Action Cycles" ?? * Moritz Helias, Juelich Research Institute, Germany "Correlated activity in recurrent neural networks" ?? * Benjamin Lindner, Humboldt University Berlin, Germany * Bernhard Nessler, Graz "Probabilistic inference and learning in spiking neuronal networks" The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, G?ttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. The course language is English. For further information and to apply please follow the link: http://www.bccn-goettingen.de/events/cns-course Application deadline is *August 5, 2013* Best wishes and looking forward to seeing you in G?ttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office From gluck at pavlov.rutgers.edu Thu Jul 25 11:17:37 2013 From: gluck at pavlov.rutgers.edu (Mark Gluck) Date: Thu, 25 Jul 2013 11:17:37 -0400 Subject: Connectionists: [Please Share With Potential Applicants]: Apply to the Behavioral & Neural Science Ph.D. Program at Rutgers University-Newark (Deadline: December 15th, 2013) In-Reply-To: <341B022F-2805-4752-9E5D-83DCF4804B9D@pavlov.rutgers.edu> References: <341B022F-2805-4752-9E5D-83DCF4804B9D@pavlov.rutgers.edu> Message-ID: <12ADA74D-35C1-4657-BC9A-C159F8E7BEFD@pavlov.rutgers.edu> [Please Share With Potential Applicants]: Dear Colleagues: If you know of bright and highly motivated graduating seniors or research assistants at your institution who are interested in pursuing a Ph.D. in neuroscience, we would be obliged if you would pass this email on to them. The goal of the Graduate Program in Behavioral and Neural Sciences (BNS) at Rutgers University-Newark is to provide training across all areas of neuroscience as well as to provide intensive instruction within one area of focus so that graduates will be prepared for careers as academicians, educators and research scientists. Students are fully funded by the graduate program (not by individual faculty) for five years with a stipend, tuition and comprehensive health insurance. The BNS curriculum offers a wide range of courses that provide both breadth and depth. The program has only a few required courses but many electives so that students may tailor coursework to their individual backgrounds and needs. Students are primarily trained to conduct independent research and to present and discuss their results orally and in written form. Students also gain experience in undergraduate and graduate teaching and mentoring. The recent integration into Rutgers of the former UMDNJ Medical School provides our students with additional clinically-relevant training opportunities. The campus of the BNS program is located in Newark, New Jersey, 13 miles from Manhattan, New York City, with extensive public transportation links between the two. For more information, and links to faculty profiles and related resources, see: http://www.neuroscience.newark.rutgers.edu Additional information on our brain imaging center can be found at http://rubic.rutgers.edu The admissions link can be reached directly at: http://www.bns.rutgers.edu The deadline for applications is December 15, 2013 and interviews of the top candidates will take place mid/late February, 2014. Late applications may be considered on a case by case basis. Regards, Mark Gluck & James Tepper, BNS Admissions Committee Ian Creese, Director, Behavioral and Neural Sciences Ph.D Program Denis Pare, Director, Center for Molecular and Behavioral Neuroscience -------------- next part -------------- An HTML attachment was scrubbed... URL: From chiestand at salk.edu Wed Jul 24 21:26:37 2013 From: chiestand at salk.edu (Chris Hiestand) Date: Wed, 24 Jul 2013 18:26:37 -0700 Subject: Connectionists: NIPS 2013 Call for Workshops: Proposals due Friday August 2nd Message-ID: NIPS 2013 Call for Workshops: Proposals due Friday August 2nd NIPS*2013 Post-Conference Workshops Mon December 9 and Tue December 10, 2013 Hotels Harrah's and Harveys Lake Tahoe, Nevada, USA Following the NIPS*2013 main conference, workshops on a variety of current topics will be held on Monday December 9 and Tuesday December 10, 2013, in Lake Tahoe, Nevada, USA. We invite researchers interested in chairing one of these workshops to submit workshop proposals. The goal of the workshops is to provide an informal forum for researchers to discuss important research questions and challenges. Controversial issues, open problems, and comparisons of competing approaches are encouraged as workshop topics. There will be seven hours of workshop meetings per day, split into morning and afternoon sessions, with free time between the sessions for individual exchange or outdoor activities. Potential workshop topics range from Neuroscience to Bayesian Methods to Representation Learning to Kernels to Clustering, and include Application Areas such as Computational Biology, Speech, Vision or Social Networks. Detailed descriptions of previous workshops may be found at: http://nips.cc/Conferences/2012/Program/schedule.php?Session=Workshops Workshop organizers have several responsibilities, including: Coordinating workshop participation and content as well as providing the program for the workshop in a timely manner for the workshop booklet. The expected deadline for submitting final workshop programs is October 30, 2013. The booklet will be submitted for hardcopy printing a few days after this deadline. Hence it is important for the workshop schedules to be as complete as possible by that time. Submission Instructions A nips.cc account is required to submit the Workshops application. Please follow the URL below and check the required format for the application well before the proposal deadline. You can edit your application online right up until this deadline. We have funding to video record a limited number of workshops for later online viewing. Workshop proposals should state if they wish their workshop to be recorded. Interested parties must submit a proposal by **23:59 UTC on Friday August 2nd, 2013**. Proposals should be submitted electronically at the following URL: https://nips.cc/Workshops/ Preference will be given to one-day workshops that reserve a significant portion of time for open discussion or panel discussion and to workshops with a greater fraction of confirmed speakers. We suggest that organizers allocate at least 50% of the workshop schedule to questions, discussion, and breaks. Past experience suggests that workshops otherwise degrade into mini-conferences as talks begin to run over. Organizers should explicitly state the expected fraction of time for discussion & questions and the expected number of talks per day at the end of the proposal. We would like to attempt to partially unify the NIPS workshop important dates across all of the workshops. Therefore, please consider using the following date guidelines for your workshop in order to provide program information in time for publication: We suggest workshop organizers to adopt the following schedule: * Workshop acceptance notification will be on August 14th, 2013 * Your workshop should be publicized on or before August 21st, 2013. * Submission deadline should be on or before October 9th, 2013. * Acceptance decisions should be mailed out on or before October 23th, 2013. * Submit finalized workshop program on or before October 30th, 2013. NIPS does not provide travel funding for workshop speakers. In the past, some workshops have sought and received funding from external sources to bring in outside speakers. The organizers of each accepted workshop can name two individuals to receive free workshop registration. Please note that unlike previous years, this year the main conference runs Thursday-Sunday and the workshops will be held on Monday and Tuesday. Please feel free to contact us if you have any questions: Rich Caruana and Gunnar R?tsch NIPS*2013 Workshops Chairs Web URL: http://nips.cc/Conferences/2013/CallForWorkshops From levitan at oxy.edu Thu Jul 25 13:02:38 2013 From: levitan at oxy.edu (Carmel Levitan) Date: Thu, 25 Jul 2013 10:02:38 -0700 Subject: Connectionists: Occidental College Assistant Professor position in Cognitive Neuroscience Message-ID: (apologies for cross-posting) Position Announcement: Assistant Professor, Cognitive Neuroscience The Department of Cognitive Science at Occidental College invites applications for a tenure-track appointment at the rank of Assistant Professor in the area of cognitive neuroscience. A strong commitment to teaching and research at a liberal arts institution is essential. Candidates must have a Ph.D. in cognitive neuroscience or a related field by the start date of August 2014. The successful applicant will help expand our curriculum, teach both introductory and upper-level courses, and involve undergraduate students in cognitive neuroscience research. Applicants should submit a statement of teaching philosophy, areas of teaching interest, and plans for research; a curriculum vitae; evaluations of undergraduate teaching or other evidence of teaching effectiveness; samples of scholarly work; and three letters of recommendation, with at least one discussing the candidate?s teaching ability or potential. These materials should be submitted in electronic form to the Search Committee Coordinator, Ms. Patricia Micciche, at micciche at oxy.edu. Inquires about the position can be directed to the Department Chair, Dr. Andrew Shtulman, at shtulman at oxy.edu. Review of applications will begin on *October 1, 2013*. Occidental College is an equal opportunity employer. The College is committed to academic excellence in a diverse community and supporting interdisciplinary and multicultural academic programs that provide a gifted and diverse group of students with an educational experience that prepares them for leadership in a pluralistic world. Women and minorities are strongly encouraged to apply. http://www.oxy.edu/cognitive-science/news -------------- next part -------------- An HTML attachment was scrubbed... URL: From fleischer at nsi.edu Thu Jul 25 20:19:58 2013 From: fleischer at nsi.edu (Jason Fleischer) Date: Thu, 25 Jul 2013 17:19:58 -0700 Subject: Connectionists: Open positions at The Neurosciences Institute for both postdocs and scientific programmers Message-ID: Dear colleagues, Please forward these advertisements to any who might be interested. Thank you. -Jason Jason G. Fleischer, Ph.D. The Neurosciences Institute http://www.nsi.edu/users/fleischer 800 Silverado St, Suite 302 Tel: (858) 626-2016 La Jolla, CA 92037 USA Fax: (858) 626-2099 Position I: Postdoctoral Researcher The Neurosciences Institute (http://www.nsi.edu) is seeking postdoctoral researchers in computational neuroscience. Successful candidates will work in a collaborative environment to create large scale spiking models of the mammalian nervous system. You will use simulations to explore how connectivity and physiology interact to produce observable neural activity and behavior. The overall goal is to understand the biological bases of perception, motor control, memory, cognition, and, ultimately, consciousness itself. Candidates should have a background in computational neuroscience or in neuroscience, cognitive science, mathematics, or physics with previous network-level neural modeling experience and strong programming skills. The Neurosciences Institute is an independent, not-for-profit scientific research organization led by Nobel laureate Gerald M. Edelman. It is located in the beautiful seaside village of La Jolla, a short drive away from other centers of neuroscience research, including the University of California San Diego and The Salk Institute. Competitive salary levels are dependent upon relevant experience; a full benefit package is available. Send C.V. and cover letter by e-mail to theoryjobs at nsi.edu or by mail to Dr. W. E. Gall, The Neurosciences Institute, 800 Silverado St #302, La Jolla, California 92037. The Neurosciences Institute is an Equal Opportunity Employer. Position II: Scientific Programmer The Neurosciences Institute has an immediate need for full-time entry and mid-level computer scientists to support scientific research into the mechanisms of brain function. Job duties include developing and modifying software to numerically simulate neural activity, running computational experiments in collaboration with scientists, and analyzing large data sets. Successful candidates will be team players familiar with C/C++ in a POSIX environment and with MATLAB. Experience with MPI and other forms of parallel computing, neural networks, cognitive science, computer vision and sensors, control systems, and robotics and is desirable. The Institute, located in La Jolla, California, is an independent, not-for-profit organization that fosters a creative and collaborative research environment. For more information, see http://www.nsi.edu. Competitive salary levels are dependent upon relevant experience; a full benefit package is available. Send resumes by email to theoryjobs at nsi.edu or by mail to Dr. W. E. Gall, The Neurosciences Institute, 800 Silverado St #302, La Jolla, CA 92037. The Neurosciences Institute is an Equal Opportunity Employer. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jlam at bccn-tuebingen.de Mon Jul 29 09:02:24 2013 From: jlam at bccn-tuebingen.de (Judith Lam) Date: Mon, 29 Jul 2013 15:02:24 +0200 Subject: Connectionists: Bernstein Conference 2013 - Early registration ends Aug, 2nd In-Reply-To: References: Message-ID: <51F667E0.9050008@bccn-tuebingen.de> Reminder: Early registration deadline: *August 2, 2013* (23:59 PDT) Please register here . We encourage timely booking of accommodation. A list of hotels can be found here - we allocated several rooms through July, 31st. **************************************************************************** Workshops September 24-25, 2013 --- http://www.bernstein-conference.de/workshops/ Main Conference September 25-27, 2013 --- http://www.bernstein-conference.de/program/ **************************************************************************** The Bernstein Conference on Computational Neuroscience started out as the annual meeting of the Bernstein Network (www.nncn.de) and has become the largest European Conference in Computational Neuroscience in recent years. This year, the Conference is organized by the Bernstein Center Tuebingen and will take place *S**eptember 25-27, 2013*. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The Bernstein conference will also feature a series of *pre-conference workshops* on *September 24-25**, 2013*. The goal is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: http://www.bernstein-conference.de CONFERENCE DATE AND VENUE: Workshops September 24-25, 2013, Brechtbau, Wilhelmstr. 50, Tuebingen, Germany Main Conference September 25-27, 2013, Neue Aula, Geschwister Scholl Platz, Tuebingen, Germany PhD STUDENT SYMPOSIUM: September 28, 2013 PROGRAM COMMITTEE: Matthias Bethge, Michael Black, Michael Brecht, Jakob Macke, Anthony Movshon, Felix Wichmann, Fred Wolf ORGANIZING COMMITTEE: Matthias Bethge (General Chair) Judith Lam, Jakob Macke, Felix Wichman We look forward to seeing you in Tuebingen in September! -- Dr. Judith Lam Executive Coordinator Bernstein Center for Computational Neuroscience T?bingen Eberhard Karls University of T?bingen Max Planck Institute for Biological Cybernetics http://www.bccn-tuebingen.de/about-bccn/contact.html Otfried-M?ller-Str. 25, 72076 T?bingen Tel: +49 7071 29 89019 Fax: +49 7071 29 25015 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at vision.rutgers.edu Tue Jul 30 07:59:24 2013 From: bart at vision.rutgers.edu (Bart Krekelberg) Date: Tue, 30 Jul 2013 13:59:24 +0200 Subject: Connectionists: Post-Doctoral Position in Visual Neuroscience - Rutgers Newark, NJ, USA Message-ID: POST-DOCTORAL POSITION IN VISUAL NEUROSCIENCE Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA The laboratory of Bart Krekelberg in the Center for Molecular and Behavioral Neuroscience at Rutgers University, Newark, New Jersey has an immediate opening for a postdoctoral researcher. The laboratory studies the neural mechanisms of perceptual stability, recurrent network dynamics, and the mechanisms of transcranial electric stimulation. We are looking for someone who is motivated to investigate the visual brain with one or more of the methods used in the lab: functional imaging using the 3T Trio in the Rutgers Brain Imaging Center, transcranial electric stimulation in humans and monkeys; electrophysiology using permanently implanted microelectrode arrays in awake, behaving monkeys; psychophysics in humans and monkeys, and computational modeling. We are particularly interested in recent graduates with experience in one of those fields and a strong affinity with quantitative data analysis. The Rutgers Newark Campus and the Center for Molecular and Behavioral Neuroscience provide a diverse and stimulating scientific environment. An infinite amount of cultural stimulation is only a 15 minute train ride away, in New York City. An appointment at NIH postdoctoral salary scales will be made for one year, with the possibility to renew for one or more additional years.Rutgers University is an equal opportunity, affirmative action institution; underrepresented minorities are encouraged to apply. To apply, send your CV, a statement of research interests and how they fit with the research of the laboratory, a representative first-author publication, and the names of three professional references to bart at vision.rutgers.edu. For more information about the laboratory, including recent publications, see http://vision.rutgers.edu. --- Bart Krekelberg Center for Molecular and Behavioral and Neuroscience Rutgers Brain Imaging Center Rutgers University Newark, NJ 07102 USA W: vision.rutgers.edu E: bart at vision.rutgers.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Tue Jul 30 11:32:36 2013 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Tue, 30 Jul 2013 17:32:36 +0200 Subject: Connectionists: IEEE CI magazine special issue on Computational Intelligence for Big Data Message-ID: <51F7DC94.9050302@techfak.uni-bielefeld.de> Call for Papers for a special issue on Computational Intelligence in Big Data of the IEEE Computational Intelligence Magazine co-organized by Yaochu Jin (University of Suttey, UK) and Barbara Hammer (University of Bielefeld, Germany) Contributions connected to recent advances, challenges and opportunities in the application of CI techniques to the emerging field of Big Data are encouraged, seehttp://www.soft-computing.de/IEEE_CIM_CIBD.html for more details. The submission deadline is November, 1st. -- Prof. Dr. Barbara Hammer CITEC centre of excellence Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 Fax: +49 521 / 106 12181 From kenneth.harris at ucl.ac.uk Tue Jul 30 11:43:05 2013 From: kenneth.harris at ucl.ac.uk (Harris, Kenneth) Date: Tue, 30 Jul 2013 15:43:05 +0000 Subject: Connectionists: Postdoctoral vacancies in London Message-ID: <62DDF60A97773048B2E8A921CA550084681D5A14@DB3PRD0111MB507.eurprd01.prod.exchangelabs.com> Dear Connectionists, I would like to advertise two postdoctoral jobs at the interface of computational and experimental neuroscience. Position 1: Analysis of large-scale cortical activity using next-generation neuronal recordings. Understanding how the brain processes information requires understanding the joint activity of large numbers of neurons. This position would involve using new electrode technology to record for the first time from thousands of neurons simultaneously in the living brain. In addition to experimental recordings, this will involve extensive computational work to characterize the large amount of data produced by these experiments. This project would suit someone with strong quantitative/computational skills, as well as experience in experimental neurophysiology or the willingness and ability to learn. This post forms part of a world-wide consortium to develop next-generation neural population recordings, and would be supervised jointly by Kenneth Harris and Matteo Carandini. Position 2: Large-scale simulation of cortical circuits. Our understanding of the connectivity and plasticity of neocortical circuits is growing at a tremendous rate. Yet understanding of how these circuits process information lags far behind this biological knowledge. This project will employ recently-developed learning rules to study how realistic models of cortical circuits can self-organize into information-processing networks. Close interaction with experimental neuroscience will be a key part of the project, and the models will be constrained by their ability to both reproduce patterns of population activity measured experimentally in vivo, and to perform real-world information processing tasks such as speech classification. The project will involve analytical as well as computational work, and would suit an individual with strong ability in mathematics or physics, excellent programming skills, as well as deep knowledge and interest in neuroscience. About the lab The most exciting developments in science come from close interactions between scientists of different backgrounds and skill sets. We run a tightly integrated group that allows not only collaborative research but also the opportunity for computational scientists to train in experimental techniques and vice versa. Our location in London provides access to a strong research base of neuroscience, computation, engineering, as well as a stimulating cultural environment. To apply for these positions, please go to https://static.wcn.co.uk/company/ucl/search_engine.html, enter 1351805 or 1352741 into the box "Ref No", and press "search". Informal enquiries are welcome by email to kenneth.harris at ucl.ac.uk. --------------------- Kenneth D. Harris Professor of Quantitative Neuroscience Institute of Neurology, Department of Neuroscience, Physiology, and Pharmacology University College London 21 University Street London WC1E 6DE Phone: +44 (0)20 3108 2410 -------------- next part -------------- An HTML attachment was scrubbed... URL: From udo at neuro.uni-bremen.de Wed Jul 31 10:00:10 2013 From: udo at neuro.uni-bremen.de (Udo Ernst) Date: Wed, 31 Jul 2013 16:00:10 +0200 Subject: Connectionists: PhD-Position (salary E13/2) in Bremen, Germany: Neuronal mechanisms of rapid functional configuration Message-ID: <51F9186A.10104@neuro.uni-bremen.de> RapidParallelConfigurationofVisualInformationProcessing (BernsteinAwardUdoErnst) Information processing in the brain is highly flexible and depends on various factors such as the current behavioural task, contextual information in the subjects' environment, and internal states of the brain. This flexibility allows our brain to rapidly configure different cognitive functions as required by the actual situation, and to reallocate limited neuronal resources to the most important computational processes. Our project aims at a comprehensive understanding of the neural mechanisms and cognitive strategies supporting functional configuration and task switching. Currently, there is one PhD position available in this project (starting date: October or November, duration 3 years): /PhD-Position////(salary////E13/2): Neuronal////mechanisms////of////rapid////functional////configuration/ Goal of this study is to investigate neural signatures and mechanisms of parallel functional configuration in multiple visual areas with massively parallel multielectrode recordings. The PhD student will conduct experiments on awake behaving macaque monkeys in collaboration with the group of Prof. Dr. Andreas Kreiter (http://www.brain.uni-bremen.de ), and analyze the collected data. This includes familiarization and training of the monkeys, preparation of the experimental setup and recordings, implantation of the electrode arrays, and recording of the data under different visual perception tasks. He/she should be familiar with standard methods of data analysis, as well as with elementary concepts from machine learning and information theory. He or she should have a degree (master/diploma or equivalent) in natural sciences (e.g. Biology) with focus on experimental work (preferably Animal Physiology). Basic programming skills and interest in formal methods from Computational Neuroscience are required. We expect a high motivation for communicating and collaborating with the other subprojects in the group. If you are interested, please send your application in English (or German) language, including your letter of motivation, CV, copies of school and university certificates (master/diploma or equivalent) until 31st of August, 2013 to: *Udo****Ernst* *Cognium** *Hochschulring*****18** *Universit?t*****Bremen** *D-28359*****Bremen** *Germany** *E-Mail:****udo at neuro.uni-bremen.de* -------------- next part -------------- An HTML attachment was scrubbed... URL: From jacobv at gmail.com Tue Jul 30 21:35:37 2013 From: jacobv at gmail.com (R. Jacob Vogelstein) Date: Tue, 30 Jul 2013 21:35:37 -0400 Subject: Connectionists: Cortical computing primitives Message-ID: I thought the connectionist community might be interested in IARPA's new CCPC RFI, described briefly below. The complete document is available at http://www.iarpa.gov/RFI/rfi_ccpc.html. Request for Information (RFI) - Cortical Computing Primitives and Connectomics IARPA-RFI-13-05 OPEN Posted Date: July 29, 2013 Responses Due: September 30, 2013 *Synopsis* The Intelligence Advanced Research Projects Activity (IARPA) is seeking information about the current state of the art in "executable" (i.e. instantiable) models of cortical computing primitives that are supported by known neuroanatomy, as well as strategies for advancing these models based on new and emerging techniques in connectomics. This information may be used to formulate a new program aimed at developing novel machine learning algorithms based on high fidelity representations of cortical microcircuits. The current request for information (RFI) is issued solely for information gathering and planning purposes and does not constitute a formal solicitation for proposals. The following sections of this RFI contain details of the scope of technical areas of interest, along with instructions for the submission of responses. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeffclune at uwyo.edu Tue Jul 30 23:08:56 2013 From: jeffclune at uwyo.edu (Jeff Clune) Date: Tue, 30 Jul 2013 21:08:56 -0600 Subject: Connectionists: Fully funded Ph.D. position in evolving artificial intelligence (neural networks, robotics, and/or deep learning) Message-ID: <4621B2BD-40CA-488E-B5CA-A921D202705D@uwyo.edu> Hello all, Please forward this email to anyone who might be interested. A fully funded computer science Ph.D. position is available in any of the following areas, especially in combinations of them: evolving artificial intelligence, neural networks, robotics, and deep learning. Postdoctoral positions are also available, but under different funding arrangements (please email jeffclune at uwyo.edu for details). Positions ideally start this coming Spring (January 2014), but alternate start dates, including next fall, are possible. I (Jeff Clune) direct the Evolving Artificial Intelligence Lab at the University of Wyoming. The lab focus is on evolving artificial intelligence by producing artificially intelligent robots, including physical robots and agents in simulated worlds. The lab will also study other bio-inspired AI techniques, such as deep learning. Part of these efforts will involve investigating how evolution produced the complex, intelligent, diverse life on this planet by trying to computationally recreate it. A major focus will be on evolving large-scale, structurally organized neural networks (i.e. networks with millions of connections that are modular, regular, and hierarchical). I am also interested in combining neuroevolution with learning algorithms (Hebbian, neuromodulation, etc.). Please see my website (http://JeffClune.com) for example publications, press articles about the work, videos, etc. Here are some keywords that describe related fields: evolutionary algorithms (also known as genetic algorithms or evolutionary computation), neural networks (including evolving neural networks, having them learn, deep learning, and computational neuroscience), robotics, artificial intelligence, and research into the evolution of intelligence, complexity, evolvability, and diversity. If you are interested in joining the lab or would like more information about the positions, please follow the instructions at http://jeffclune.com/positionsAvailable.html Here is a video that summarizes my research: http://goo.gl/wA6Fe Other videos about my research are here: http://jeffclune.com/videos.html The University of Wyoming is located in Laramie, a college town in the heart of the Rocky Mountain West. Nestled between two mountain ranges, Laramie has more than 300 days of sunshine a year and is home to year-round outdoor activities including hiking, camping, rock climbing, downhill skiing, cross-country skiing, fishing and mountain biking. Laramie is also near many of Colorado's major cities and university communities (e.g. Fort Collins, Boulder, and Denver). The University of Wyoming is an Affirmative Action/Equal Opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, pregnancy, sexual orientation, age, national origin, disability, marital, veteran or any other legally protected status. Best regards, Jeff Clune Assistant Professor Computer Science University of Wyoming jeffclune at uwyo.edu jeffclune.com -------------- next part -------------- An HTML attachment was scrubbed... URL: