April 2015 - Comp-neuro - lists.cnsorg.org

Deadline Extension (8. May, 2015), Workshop “Information Theory in Artificial Life” at ECAL 2015, York

by Georg Martius

Dear colleagues, we are extending the deadline for our workshop on --------- Information Theory in Artificial Life ---------- at ECAL in York this year to the _8th of May_ 2015. If you want to participate or have any questions, send us an email or an abstract to itialife(a)gmail.com. Workshop webpage: http://www.mis.mpg.de/ay/workshops/ecal15ws.html Conference webpage: http://www.cs.york.ac.uk/nature/ecal2015/workshops.html Also, we are hosting an open special issue in the journal Entropy, associated with last year’s workshop, which is still open to submissions: www.mdpi.com/journal/entropy/special_issues/information-theoretic Best Regards, and see you at ECAL 2015 Georg Martius, Christoph Salge, Keyan Ghazi-Zahedi and Daniel Polani -- Organization Team for the Workshop on Information Theory in Artificial Life, at ECAL 2015 web: http://www.mis.mpg.de/ay/workshops/ecal15ws.html email: itialife(a)gmail.com

April 29, 2015

job add: staff position as computer scientist/scientific programmer

by Andreas Kotowicz

Max Planck Institute for Brain Research Department of Neural Systems and Coding The Max Planck Institute for Brain Research in Frankfurt am Main/Germany is an innovative and growing research facility of the Max Planck Society for the Advancement of Science. The Department of Neural Systems and Coding (Prof. Dr. Dr. Gilles Laurent) is part of the interdisciplinary neuroscience campus in Frankfurt/Riedberg where the new MPI building is located. Research in the Department aims to understand the physiology of perception with an experimental focus centered on neural computation, neuronal coding and integration. To support our international team of biologists, computer scientists and physicists, we invite applications for a full time staff position as Computer scientist/Scientific programmer starting as soon as possible, initially with a fixed-term contract for two years. We seek a self-driven and interactive individual with deep commitment to science. Excellent knowledge of and experience with MATLAB, algorithm development, data handling, processing and analysis are required. We further expect strong programming skills and experience with management, storage and access of large datasets, Linux and, Windows or MacOS platforms. Applicants should be familiar with a scientific environment. Knowledge of computational neuroscience and practice in computer vision, image processing, object recognition, automatic processing and control of behavioral experiments would be of advantage. Candidates are expected to hold a degree in a quantitative field involving computational work, such as computer science, physics, applied math, electrical engineering or comparable re-search experience. Graduate work at Masters or PhD level (science exposure) is a plus. We offer a competitive salary based on TVöD (Bund) (Collective Wage Agreement for Government Service Workers (Federal Government)) depending on qualifications and professional experience as well as various fringe benefits in accordance with public service provisions. You can expect an interesting, responsible and varied job in a young, international and interdisciplinary team. The Max Planck Society is an equal opportunity employer and is striving to increase the proportion of women in areas where they are under-represented. It therefore expressly encourages female applicants. The Max Planck Society is striving to employ more individuals with disabilities. It therefore expressly encourages applicants with disabilities. Please submit your application (in English, single PDF file) by email (HR(at)brain.mpg.de) until June 07, 2015 to Max Planck Institute for Brain Research -Human Resources- Max-von-Laue-Str. 4 60438 Frankfurt am Main HR(at)brain.mpg.de -- Dr. Andreas Kotowicz Max Planck Institute for Brain Research Max-von-Laue-Str. 4 60438 Frankfurt am Main Germany andreas.kotowicz(a)brain.mpg.de T: +49 69 850033 1700 T: +49 69 850033 2028 www.brain.mpg.de

April 28, 2015

[CFP] Intelligence for Cyber-physical and Embedded Systems: An IEEE Symposium @SSCI 2015

by Giacomo Boracchi

**CALL FOR PAPERS** Symposium on "Intelligence for Cyber-physical and Embedded Systems" (IntECS 2015) at IEEE Symposium Series in Computational Intelligence 2015 7 - 10 December 2015, Cape Town, South Africa ( http://ieee-ssci.org.za/) *IntECS 2015 Web site*: http://ies.deib.polimi.it/events/intecs-2015-ieee-ssci/ ********************************************************** *IMPORTANT DATES* Paper submission: June 14, 2015 Author notifications: September 4, 2015 Camera-ready submission: October 4, 2015 Early registration: October 4, 2015 Conference Dates: December 7 - 10, 2015 *********************************************************** In recent years, there has been an increasing interest in designing embedded and cyber-physical systems featuring intelligent skills. Beside addressing the specific tasks they have been designed for, these systems are expected, for example, to autonomously make decisions/activate reactions, perform self-diagnosis, and learn from and interact with the operating environment. This symposium addresses novel and emerging computational-intelligence and machine-learning solutions to provide such an intelligent behavior to embedded and cyberphisical systems. IntECS aspires at providing a forum for researchers who are actively working on intelligent embedded and cyberphisical systems and, more in general, on computational intelligent solutions for real world applications. The symposium will be held within the IEEE 2015 Symposium Series in Computational Intelligence (7 - 10 Dec. 2015, Cape Town, South Africa) **Topics** . Intelligence for embedded systems . Intelligence for cyber-physical systems . Cognitive fault-diagnosis systems . Smart objects and Internet of Things . Intelligent sensor networks . Intelligent sensors and robotics . Intelligent measurement systems . Adaptive solutions to operate in evolving/changing environments . Intelligent systems for real-world applications . Computational intelligence techniques for smart buildings and critical-infrastructure monitoring **Keywords** Embedded systems, cyber-physical systems, fault-diagnosis systems, intelligent applications, intelligent sensors, intelligent sensor networks, Computational Intelligence, Internet of Things. **Symposium Organizers** - Cesare Alippi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) cesare.alippi(a)polimi.it - Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) giacomo.boracchi(a)polimi.it - Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) manuel.roveri(a)polimi.it **Technical Program Committee** Demetrios Eliadis, KIOS Research Center, Cyprus Stavros Ntalampiras, Politecnico di Milano, Italy Maurizio Bocca, Bosch Research and Technology Center, CA (USA) Michalis Michaelidis, Cyprus University of Technology, Cyprus Huajin Tang, A*STAR, Singapore Joe-Air Jiang, National Taiwan University, Taiwan Stefano Squartini, Università Politecnica delle Marche, Italy Rami Abielmona, Larus Technologies, Canada Dongbin Zhao, University of Chinese Academy of Science, China Guillerme DeSouza, University of Missouri-Columbia, USA Ana-Maria Credu, Université du Québec en Outaouais, Canada **Paper Submission Procedure** Submissions must contain original, high quality, not submitted or elsewhere published work. Authors must submit their paper through the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/ Accepted papers will be included in the IEEE SSCI 2015 proceedings and indexed through IEEExplore. Further information and Paper submission can be found at the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/ *********************************************************** The call for papers as well as more detailed information can be retrieved from IntECS 2015 webpage http://ies.deib.polimi.it/events/intecs-2015-ieee-ssci/ and from the main SSCI 2015 webpage http://ieee-ssci.org.za/ Please make sure you select: "Intelligence for Cyber-physical and Embedded Systems" (IntECS 2015) during the submission process *********************************************************** -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/

April 27, 2015

Postdoctoral Research Associate in Data Analytics and Modelling of Mental Health at the University of Ulster

by Wong-Lin, Kongfatt

Applications are invited for the following post: Postdoctoral Research Associate in Data Analytics and Modelling of Mental Health at the University of Ulster With the increasing volume and complexity of datasets in neuroscience and mental health, data analytics and modelling will become indispensable. This project aims to use data analytics, computational modelling, and cloud/high-performance computing to integrate and analyze available but heterogeneous data to extract patterns and predict Alzheimer's disease. This timely, exciting and high-impact project is available in the University of Ulster' Computer Science Research Institute (in collaboration with Asystec Ltd) and is tenable in the Faculty of Computing and Engineering at the Magee Campus. The successful applicant will utilize knowledge in data analytics, cloud/high-performance computing, mathematical/statistical modelling, and brain sciences in the research. The postholder will join an externally funded multidisciplinary research team, and will benefit from the expertise of Ulster's computational neuroscience and intelligence, and Asystec's big data management and analytics. The postholder will also have the opportunity to interact with other biomedical and translational/clinical researchers in the team, and learn about advanced software development, knowledge transfer and entrepreneurship with Asystec. All applicants should hold or about to obtain a Ph.D. degree in Computing, Engineering, Computational Neuroscience, Computational Sciences, Neuroscience, Statistics, Mathematics, Physics, or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills and knowledge across disciplines. The application process for the post is opened with a closing date for applications on the 20th May 2015, and interviews will be held shortly after. The successful applicant is expected to start in July 2015. Further details can be found at: http://www.jobs.ac.uk/job/AKY928/research-associate-in-data-analytics-and-m… We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> If you wish to discuss further regarding this post or the research project, please contact: Dr. KongFatt Wong-Lin, tel: +44 028 7167 5320, e-mail: k.wong-lin(a)ulster.ac.uk ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

April 27, 2015

Brain Connectivity Workshop

by Jorge Riera Diaz

Title: Brain Connectivity Workshop The 14th international Brain Connectivity Workshop will take place in La Jolla CA at the UCSD Supercomputer Center, hosted by the Swartz Center for Computational Neuroscience over three days, June 10-12, 2015. For the first time in this meeting series, experts in the science of brain connectivity using a variety of electrophysiological imaging methods will present their current results and current thinking. The format, as always, will be one day of methodological lectures followed by two days of 20-min talks, each followed by 40 min of in-depth open discussion among the speakers and 100 attendees. Speakers include: Klaas Stephan (Zurich), Ingo Bojak (UK), Carsten Wolters (Muenster), Rasmus Birn (Wisconsin), Andrew Zaelesky (Melbourne), Alain Destexhe (France), Eugene Izhikevich (Brain Corp), Stefan Kiebel (Max Planck Leipzig), Matias Palva (Helsinki), Charles Schroeder (Columbia), Ryan Canolty (Houston), Francesco de Pasquale (Chieti), Sylvain Baillet (McGill), Pedro Valdes-Sosa (Cuba/China), Stefan Haufe (NYU), Jean-Philippe Lachaux (France), Scott Makeig (UCSD), Hirokazu Tanaka (JAIST), Steven Bressler (Florida), Muthuraman Muthuraman (Kiel), Kathleen Poston (Stanford). Co-organizers are Michael Breakspear (Brisbane) and Jorge Riera (Florida). Places in the Workshop are still available. For more information and to register, http://sccn.ucsd.edu/BrainConnectivityWorkshop2015 Scott Makeig

April 27, 2015

Computational neuroscience and neuroinformatics at NI2015 in Cairns, Australia on August 20-22

by Malin Sandström

Want to learn more about the latest tools for neuroscience research, find new collaborators and discuss your results with a cross-disciplinary scientific audience? Then join us at NI2015 in Cairns, Australia, August 20-22! Submit your abstract no later than May 3rd: http://www.neuroinformatics2015.org/abstracts, and register at http://www.neuroinformatics2015.org/registration The scientific program includes: Keynotes: - Teiichi Furuichi: The molecular mechanisms of brain development and disorders - Thomas Lippert: Supercomputing and big data analytics in the neurosciences - Miguel Nicolelis: The future prospects of brain-machine interfaces - John Reynolds: Dopamine and learning mechanisms in the basal ganglia - Angela Sirigu: Inside the human brain: cortical networks for processing movement intentions and awareness Workshops: - Small scale brain initiatives. Chair: Romain Brette. Speakers: Ann-Shyn Chiang, Vladimir Brezina, Paul S. Katz. - Large scale brain initiatives. Chair: Sean Hill. Speakers: Walter Koroshetz, Rickard Frackowiak - Neuromorphic computing and challenges. Chair: Jeanette Hellgren-Kotaleski. Speakers: Tadashi Yamazaki, Giacomo Indiveri, Tara Julia Hamilton, Romain Brette Special symposia, hosted by the INCF Australia Node, on: - Neuroscience drivers for next generation neuroinformatics - Imaging informatics - Simulation and visualization environments - Atlases, tools and applications We hope to see you in Cairns! All the best, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

April 24, 2015

PhD studentship in Computational Neuroscience at University of Sussex

by Thomas Nowotny

A PhD studentship in Computational Neuroscience for 3 years is available in the group of Prof Thomas Nowotny from September 2015. The studentship forms part of a new research project on olfactory sensing financed by the Human Frontiers Science Program. The work in the project is designed to investigate how animals can use fine temporal information in odour stimuli to recognise “odour objects”, i.e. meaningful combinations of chemicals that indicate the presence of a behaviourally relevant odour. The project involves research groups from Germany, Japan, the USA, and the UK, working in areas ranging from electrophysiology to computational modelling and robotics. The studentship in Sussex will be focused on data analysis and computational modelling of brain networks. We are looking for a talented student with an interest in computational work. Applicants from all disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to learn dynamical systems analysis, and creative scientific thinking. The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton. As part of the project you will travel to the project partners worldwide. The studentship covers a stipend (Currently £13,863 annually, tax free) and fees at the level of UK/EU citizens. Application: Please apply through the post-graduate application system of the University of Sussex: http://www.sussex.ac.uk/study/pg/applying/2015entry Please include a brief statement of your scientific interests and skills/experience in the mandatory “research proposal”, including how you would imagine your role in the HFSP project (max 2 pages) and include a full CV. Indicate Prof Nowotny as your preferred advisor and mention the HFSP project. When you apply, please send a copy of your application documents to t.nowotny(a)sussex.ac.uk<mailto:t.nowotny@sussex.ac.uk> Do not hesitate to get in touch at this address for any informal enquiries. Deadline: Applications will be considered on a rolling basis but candidates applying before 15 June can be sure to be considered. -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics Fax: +44-1273-877873 University of Sussex Falmer, Brighton BN1 9QJ http://sussex.ac.uk/informatics/tnowotny

April 24, 2015

PhD Summer School on Deep Learning

by Morten Mørup

******************************************************************************** PhD Summer School on Deep Learning (www.compute.dtu.dk/courses/02901<http://www.compute.dtu.dk/courses/02901>) August 24 - 28, 2015 (both days included) DTU Compute, Technical University of Denmark, ******************************************************************************** We invite you to participate in the PhD Summer School on Deep Learning that will take place at the Technical University of Denmark, August 24 - 28, 2015. The course will consist of lectures given by invited experts as well as members of the research groups at DTU Compute. Confirmed Speakers: Charles Blundell, Google DeepMind Tapani Raiko, Aalto University Anders Boesen Lindbo Larsen, DTU Compute Ole Winther, DTU Compute Lars Kai Hansen, DTU Compute Further information regarding the summer school can be found on our webpage: http://www.compute.dtu.dk/courses/02901 To register please send an email to Wanja Andersen (waan(a)dtu.dk<mailto:waan@dtu.dk>) with your CV (maximum 2 pages). The CV has to be received no later than 14th of June (notification regarding acceptance will be given the 19th of June). We hope to see you this summer at the Technical University of Denmark! The organizers, Morten Mørup, Mikkel N. Schmidt, Ole Winther, and Lars Kai Hansen

April 24, 2015

Postdoc position in computational/statistical neuroscience available

by Memming Park

A full-time postdoctoral position is available in the Computational and Theoretical Neural Information Processing Lab <http://catniplab.github.io/> at Stony Brook University. We design statistical models and machine learning methods specialized for neural data. We aim to understand how information and computations are represented and implemented in the brain, both at a single-neuron and systems level. We collaborate with experimental labs on important problems in neuroscience, such as sensory coding and perceptual decision-making. Current projects include inferring the latent dynamics of a neural population in awake behaving monkeys using recorded spikes and local field potential, and building scalable statistical models for high-dimensional neural observations. Our lab provides a friendly and highly collaborative environment. Requirements: Candidate must have a PhD or equivalent in neuroscience, statistics, engineering, mathematics or a related field. Ideal candidate would be familiar with machine learning and/or neural modeling. Prior experience in analyzing neural data, high-dimensional data, and/or non-Gaussian time series is a plus but not required. Good numerical programming skills and experience with professional software development are expected. Apply via https://stonybrooku.taleo.net/careersection/2/jobdetail.ftl?job=1500497 For further information please contact I. Memming Park ( memming.park(a)stonybrook.edu) Sincerely, Memming

April 24, 2015

FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT ICTP, TRIESTE ITALY

by Matteo Marsili

FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS (ICTP). ICTP is seeking applicants for a new faculty position in its recently established Quantitative Life Sciences (QLS) research section. QLS responds to the theoretical challenges arising from recent advances in large-scale experiments in biology and neurosciences. The successful applicant will play a leading role in establishing the new section, promoting cutting-edge research in quantitative biology and supervising graduate students. Areas of interest include systems biology, biological networks, systems and computational neuroscience. Applicants should have an outstanding international reputation with at least 4 years of scientific research experience. The position, which will start in October 2015, will be at the P3 UNESCO level, with a starting salary of $78100. Other benefits include family allowance, home travel, education grant for dependent children, pension plan and medical insurance. Full details of the position, along with a link to the UNESCO online application, are available on ICTP's employment webpage and at http://www.ictp.it/about-ictp/personnel-office/employment.aspx <http://www.ictp.it/about-ictp/personnel-office/employment.aspx> The deadline is 3 June 2015. For further information please contact ICTP's Personnel Office at personnel_office(a)ictp.it <mailto:personnel_office@ictp.it>. ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world.

April 23, 2015