- Comp-neuro - lists.cnsorg.org

Post-doctoral positions (x3) and PhD candidate (x1) positions in neuroimaging data analysis
by Marquand, A.F. (Andre) Sept. 6, 2016

Sept. 6, 2016

We have vacancies for three excellent post-doctoral research associates and one PhD student in the Statistical Imaging Neurosciences group at the Donders Institute for Brain Cognition and Behaviour and the Radboud University Medical Centre, Nijmegen, the Netherlands. These positions will be supervised by Prof. Christian Beckmann and Dr. Andre Marquand and will focus on the development of novel computational and machine learning methods for the analysis of neuroimaging data. The roles are part of different but related projects which have general aims of creating advanced practical tools for multivariate statistical analysis of neuroimaging data and for predicting clinical variables from these data. The group has a strong interest in pattern recognition methods and exploratory data analysis (e.g. Independent Component Analysis) with specific applications of ICA for the investigation of functional connectivity inferred from resting-state fMRI. We aim for an interdisciplinary research approach integrating cognitive neuroimaging, pharmacology, genetics, and applications in diverse clinical disciplines with well-established international collaborations. Requirements Post-doctoral positions: Completion of doctoral degree in a numerate discipline such as statistics, computer science, engineering, cognitive neuroscience / psychology or other relevant field of study. Doctoral candidate: Completion of an undergraduate (and ideally also master's level) degree in one of these fields. Applicants should be able to demonstrate a strong academic track-record, including publications in international journals. These individual should be proficient in fMRI research and have experience with the usage of one or more of the common neuroimaging data analysis platforms (e.g. FSL, SPM, FreeSurfer or AFNI) plus programming skills using MATLAB, Python, R and/or C++. Organization The Donders Institute for Brain, Cognition and Behaviour (http://www.ru.nl/donders/) offers a unique, multidisciplinary working and learning environment with opportunities for developing expertise in a diversity of research areas and techniques. The centre is equipped with three MRI scanners (2 x 3T, 1.5T) and access to a high field (7T) MR system plus a 275-channel MEG system, an EEG-TMS laboratory, several (MR-compatible) EEG systems, and high-performance computational facilities. Website: http://www.ru.nl/donders/ Conditions of employment Employment: 1,0 FTE. Your starting salary will be commensurate with experience. In addition to the monthly gross salary, you will receive two yearly 8% bonuses (holiday and end-of-year). International applicants may qualify for significant income tax reduction under the Netherlands 30% Rule. The post-dotcoral positions are for three years in the first instance (12 months probation period) with a possible extension. The PhD studentship is for four years. Application Please send your application, including a motivation letter, statement of research interest, CV and names with addresses of three persons who can provide references to Christian Beckmann at c <dot> beckmann <at> donders.ru.nl and Andre Marquand a <dot> marquand <at> donders.ru.nl Closing date: Review of applications will continue until the positions are filled.

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[IJCNN 2017] Approaching deadline on Thursday, 15th September 2016
by Teng Teck Hou Sept. 6, 2016

Sept. 6, 2016

[Apologies for cross-postings] ################################################## COMBINED CALLS [DUE ON THURSDAY, 15 SEPTEMBER] CALL FOR COMPETITIONS http://www.ijcnn.org/call-for-competition CALL FOR SPECIAL SESSIONS http://www.ijcnn.org/call-for-special-sessions CALL FOR PANELS http://www.ijcnn.org/call-for-panels CALL FOR WORKSHOPS http://www.ijcnn.org/call-for-workshops CALL FOR TUTORIALS http://www.ijcnn.org/call-for-tutorials CALL FOR PAPERS http://www.ijcnn.org/call-for-papers CALL FOR SPONSORS http://www.ijcnn.org/call-for-sponsors International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Special Session, Panel Sesion & Competition Proposals September 15, 2016 * Tutorial and Workshop Proposals October 15, 2016 * Paper Submission November 15, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Stephen Grossberg, Boston University, USA * Christof Koch, Allen Institute for Brain Science, USA * Hava Siegelmann, DARPA, and University of Massachusetts, Amherst, USA * Jose Principle, University of Florida, USA #################################################################### ##########################Call for Competitions########################## Competition organizers are kindly invited to submit their proposals to IJCNN2017 Competition Chair (TBA) by September 15, 2016. The notifications of acceptance of the competition proposals will be provided by TBA and will be shortly publish in the IJCNN 2017 website. Please note that each accepted competition will be published in a separate web link. The competition proposal should contain the following information (please fill out the form at the bottom of this page, or send the required information in the form as a single pdf file to the competition chair [email below]) The aims and objectives of the competition, The rules of the competition, including which data sets will be used, How the competition will serve the neural networks community/society, How to enter the competitions and how to evaluate them, and Which competition platform (or result submission and validation method) you will use (e.g. similar to Kaggle). Summary of performance results directly reported by the competition participants and not verified by the competition organizers are not acceptable. Please note that you need to select a category for your competition from the following list: * Category A: You are planning to organise an associated special session, in which the proposal must be submitted separately to the special session chairs. In addition, you require that each team must submit at least one paper to the special session. * Category B: You are planning to organise an associated special session, whose proposal must be also submitted separately to the special session chairs. However, submission of papers to the special session by competition participants is not mandatory. * Category C: You have no plan to organize an associated special session. Note: For categories B and C, please also indicate whether or not conference participation is required for each entry. Sponsorship A winning certificate and free registration will be provided to the winner of each competition who attends IJCNN 2017. For further details, please refer to http://www.ijcnn.org/call-for-competition. If you need any other information, please do not hesitate to contact the IJCNN2017 Competition Chair: Juyang (John) Weng, Michigan State University. E-mail: weng(a)cse.msu.edu ######################################################################### ##########################Call for Special Sessions########################## The IJCNN 2017 Program Committee solicits proposals for special sessions within the technical scopes of the conference. Special sessions, to be organized by international recognized experts, aim to bring together researchers focused in special, novel, and challenging topics. Fast-developing themes such as Deep Learning, Big Data, or applications to fields like chemistry, biology, computer games, robotics, etc. are examples. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the regular sessions. Researchers interested in organizing special sessions are invited to submit a formal proposal using the on-line form of the Special Sessions webpage. Due to large expected number of submissions, please do not directly email the information to the special session co-chairs Derong Liu, University of Chicago & Chinese Academy of Sciences. Beijing, and Tatiana Tambouratzis, University of Piraeus, Greece. For further details, please refer to http://www.ijcnn.org/call-for-special-sessions Any questions regarding this proposal can be asked to the Special Session Chairs: Derong Liu, University of Chicago, USA. E-mail: derong(a)uic.edu Tatiana Tambouriatzis, University of Piraeus, Greece. E-mail: tatianatambouratzis(a)gmail.com ############################################################################ # ##########################Call for Panels########################## The IJCNN 2017 Program Committee solicits proposals for panel sessions to provide forums for lively, interactive discussions among world-leading experts in specific areas. Panel Session proposals are solicited in a broad range of areas related to NNs, including but not limited to the following: hot topics and challenges in NNS, such as Deep learning, Big Data, Brain-Computer Interfaces, new generation of AI; history of NNs, with special emphasis on the upcoming 30th birthday of INNS; government funding opportunities; outreach to industry and to sister societies, and many more. Panel proposals should include the information listed below. Please email the following information in a single file to the Panel Chair (contact information below). * Topic of the panel * Name of proposer(s) * Email of main contact person * Brief bio of proposers * Brief description of the panel and why the panel format is appropriate for the topic. * List of potential panelists Researchers interested in organizing panels are invited to submit a formal proposal. Any questions regarding this proposal can be asked to the Panel Chair: Robert Kozma, University of Memphis, USA. Email: rkozma(a)memphis.edu ##################################################################### ##########################Call for Workshops########################## Post-conference workshops offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2017 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal including the following information as a single file (pdf, doc, etc.) to the workshop chair: * Title * Organizers and their short bio * Brief description of the scope and impact of the workshop * Timeliness of the topic * Confirmed and/or potential speakers * Half day (3 hours) or full day (6 hours) * Link to organizer's web page and/or workshop web site (optional) For further details, please refer http://www.ijcnn.org/call-for-workshops. Any questions regarding this proposal can be asked to the Workshop Chair: Lazaros Iliadis, Democritus University of Thrace, Greece. E-mail: liliadis(a)fmenr.duth.gr ###################################################################### ##########################Call for Tutorials########################## IJCNN 2017 will feature pre-conference tutorials addressing fundamental and advanced topics in computational intelligence. Tutorial proposals should be emailed to the Tutorial Chair (see below). A tutorial proposal should include the * Title * Presenter/organizer name(s) and affiliations * Expected enrollment * Abstract (less than 300 words) * Additional outline if needed * Presenter/organizer biography * Links to the presenter/organizer web page or the tutorial page (optional) * The proposal should not exceed two pages in 1.5 space, Times 12 point font. The tutorial format (preliminary) is 1 hour and 45 minutes with a 10-minute break. Researchers interested in organizing workshops are invited to submit a formal proposal. For further details, please refer to http://www.ijcnn.org/call-for-tutorials. Any questions regarding this proposal can be asked to the Tutorials Chair: Asim Roy, Arizona State University, USA. E-mail: ASIM.ROY(a)asu.edu ###################################################################### ##########################Call for Sponsors########################## You are invited to support the 2017 International Joint Conference on Neural Networks (IJCNN 2017), organized by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS). This is an ideal way to demonstrate your organization's commitment to the field of artificial intelligence including neural networks, biomorphic systems, computational neuroscience, neuroengineering, and many other areas at the frontier of technological innovation and to publicize this support to many leaders and students in the field. Corporate support is typically used to permit a greater number of students to attend IJCNN at reduced fees without increasing the general registration, and to allow student volunteers to receive complimentary registration. Exhibits by sponsors also help inform researchers especially students and postdocs about relevant applications and opportunities. Corporate support can be targeted to a particular event or activity at the Conference. IJCNN 2017 has four sponsorship levels: Platinum, Gold, Silver, and Bronze. Your support is very important to the conference, and the conference committee ensures that these contributions are well recognized. We list the benefits and costs below. * PLATINUM (US$10,000 or greater contribution) You will get 4 free registrations to the main conference and tutorials and workshops, 4 banquet tickets, 3 exhibition tables. You will also get second choice at naming events at the conference. For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will specially acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news * GOLD SPONSORSHIP (US$5,000 or greater contribution) You will get 3 free registrations to the main conference or tutorials and workshops, 3 banquet tickets, 2 exhibition tables. You will also get third choice at naming events at the conference (after the Platinum). For example, there are generally two receptions, several lunches and coffee breaks, plus a student reception. Naming of events will be decided based on the amount of the contribution and the order received. Your company or institution (with logo and URL) will be listed in all conference announcements, on the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will have the opportunity to include material and giveaways with the conference material for each attendee You will get early notification direct from the Corporate Support Chair of conference news * SILVER SPONSORSHIP (US$3,000 or greater contribution) You will get 2 free registrations to the main conference or tutorials and workshops, 2 banquet tickets, 1 exhibition table. We will name an event after your company, if there are events left after those named for Platinum and Gold Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news * BRONZE SPONSORSHIP (US$1,500 or greater contribution) You will get 1 free registration to the main conference or tutorials and workshops and 1 banquet ticket. Your company or institution (with logo and URL) will be listed in the advance program, and on the conference web pages, at www.ijcnn.org We will acknowledge your company's contribution and offer thanks at the opening and closing sessions of the conference You will get early notification direct from the Corporate Support Chair of conference news Sponsorships at lower levels will be considered, with benefits negotiated between the IJCNN 2017 Sponsorship Chair and the Sponsor. For further details, please refer to http://www.ijcnn.org/call-for-sponsors Any questions regarding this proposal can be asked to the Sponsor Chair: Lipo Wang, Nanyang Technological University, Singapore. E-mail: elpwang(a)ntu.edu.sg ###################################################################### ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society ############################################################

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Faculty positions open in theoretical biology, computational sciences and big data
by Erik De Schutter Sept. 6, 2016

Sept. 6, 2016

Dear all, Faculty recruitment is ongoing in the Okinawa Institute of Science and Technology Graduate University Japan in fields that are of interest members of this mailing list, including: theoretical biology (including theoretical neuroscience), computational sciences and big data analysis. Please go to https://groups.oist.jp/facultypositions for more information. Application deadline is October 24, 2016. Erik De Schutter Full advertisement: Open Faculty Positions The Okinawa Institute of Science and Technology Graduate University (www.oist.jp) invites applications for at least 5 new faculty positions as part of its planned expansion. Targeted areas for the current search include*: Chemistry: Chemical Biology; Materials Chemistry (including Polymer Chemistry, Metal-Organic Frameworks) Life Sciences: Cell Biology; Theoretical Biology; Behavioral Learning Theory Mathematics: Discrete Mathematics; Computational Sciences; Big Data Analysis Physics: Quantum Information; Ultracold Physics; Condensed Matter; Cosmology/Gravitational Waves We are seeking applicants with excellent scholarship and creativity. Successful candidates are expected to establish an active program of research, supervise student research and teach in the graduate program. Generous research resources are provided which may be supplemented with external grants. Appointments will be Tenure-Track or Tenured. Starting date is flexible. Applications should include: a letter of intent, CV, summary of previous research, research proposal, and a teaching statement. Information and instructions for submitting applications can be accessed at https://groups.oist.jp/facultypositions *Applications from strong candidates in other fields may be considered. Application Deadline: Noon on Monday, October 24, 2016 (any time zone) The OIST Graduate University offers a world-class research environment with an international research community and opportunities for interdisciplinary research. Research and teaching is conducted in English. The campus is located in a beautiful subtropical setting in Okinawa, Japan. The OIST Graduate University is an equal opportunity educator and employer committed to increasing the diversity of its faculty, students and staff through proactive policies. We provide a family-friendly working environment, including a bilingual child development center on campus. Applications from women and other underrepresented groups are strongly encouraged. See https://groups.oist.jp/ged Inquiries should be directed to Professor Gordon Arbuthnott, Dean of Faculty Affairs, faculty-recruiting(a)oist.jp

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Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania
by Vijay Balasubramanian Sept. 5, 2016

Sept. 5, 2016

Postdoctoral Fellowships in Theoretical and Computational Neuroscience University of Pennsylvania The Computational Neuroscience Initiative (CNI, http://cni.upenn.edu <http://cni.upenn.edu/>) of the University of Pennsylvania seeks exceptional candidates for a CNI Postdoctoral Fellowship. Candidates with strong quantitative skills from a variety of fields including neuroscience, cognitive science, psychology, physics, mathematics, and engineering will be considered. The selected Fellows will join an inter-disciplinary research environment in historic Philadelphia. CNI Fellows will be encouraged to foster collaborative research between multiple labs. The CNI supports inter-disciplinary and collaborative research at the frontier of knowledge about the brain, behavior, and the mind. We focus on systems-level approaches that integrate theory and computation with experiment. Our members include faculty, post-docs, and students from multiple programs and departments including neurobiology, cognitive science, psychology, physics, mathematics, electrical engineering, bioengineering, and computer science. Our research and training spans the three major elements of the field of Computational Neuroscience: 1) Theory – understanding the brain as an information-processing machine; 2) Experiments – providing quantitative methods to aid in the design, implementation, analysis, and interpretation of empirical studies that probe all levels of brain function, from molecules to behavior; and 3) Applications – including robotics, brain-machine interfaces, and new clinical tools. Applications should be submitted by email to compneuro(a)sas.upenn.edu <mailto:compneuro@sas.upenn.edu> and should consist of a CV and a cover letter stating the candidate's research experience and reasons for applying to this Fellowship. Please arrange for up two three letters of recommendation to be sent to the same email address with the candidate’s name in the subject line. Review of applications will occur on a rolling basis until the positions are filled The University of Pennsylvania values diversity and seeks talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu <http://jobs.hr.upenn.edu/>). Vijay Balasubramanian, Director David Brainard, Co-Director Joshua Gold, Co-Director

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The Max Planck Research Group Neural Circuits in Germany is Now Hiring!
by Zaina Batool Sept. 5, 2016

Sept. 5, 2016

Dear all, The Seelig Lab (Max Planck Research Group Neural Circuits) is currently offering two open positions on neural circuits in behaving animals for highly motivated scientists/graduate students interested in studying the role of neuromodulators in neural circuit function across behavorial states in health and disease: - one full-time postdoctoral position - one Ph.D. position More here: http://www.caesar.de/jointhelab0.html Best Regards, Zaina Batool Research Assistant, Max Planck Research Group Neural Circuits Forschungszentrum caesar Tel.: 0228/9656-361 Fax: 0228/9656 E-Mail: zaina.batool(a)caesar.de<mailto:zaina.batool@caesar.de> Forschungszentrum caesar assoziiert mit der Max-Planck-Gesellschaft Ludwig-Erhard-Allee 2 53175 Bonn www.caesar.de<http://www.caesar.de/>

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NEST User Workshop 3-4 November 2016 in Karlsruhe, Germany
by Hans Ekkehard Plesser Sept. 2, 2016

Sept. 2, 2016

Dear all! The NEST Initiative is excited to invite all NEST users and developers to the second annual NEST User Workshop on 3-4 November 2016 in Karlsruhe, Germany. The Workshop provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST and spiking network simulation and application. This year, the workshop will focus on the use of spiking networks in Neurorobotics and will kindly be hosted by Forschungszentrum Informatik (FZI) in Karlsruhe, Germany, in collaboration with the Human Brain Project and Forschungszentrum Jülich. The workshop is supported by the Human Brain Project Education Office. Registration for the Workshop is now open at http://indico-jsc.fz-juelich.de/e/nest2016 where you also will find more information about the workshop program and ways to contribute. Deadline for contributions is 18 September, for registration 7 October. Participation is free of charge, but you will have to cover your travel costs. Space is limited, so please register soon! I am looking forward to seeing you in Karlsruhe! Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser Associate Professor Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Opportunity in Open Source Brain project for experienced software developer
by Padraig Gleeson Sept. 2, 2016

Sept. 2, 2016

(Apologies for cross postings) The Open Source Brain initiative (http://www.opensourcebrain.org) is looking to hire an experienced software developer to work on the web infrastructure for collaborative development of models in computational neuroscience as part of our multidisciplinary group <http://silverlab.org/> at University College London: https://goo.gl/kROHnZ This would be a great opportunity for someone who has plenty of experience with Java/JavaScript development (and a good helping of Python and/or Ruby) to get a job at the leading edge of efforts to build a truly open infrastructure for modelling and understanding the brain. Previous experience in computational neuroscience is an advantage, though excellent software development skills in a web environment and a desire to make a difference in this field are essential. The successful applicant will have the opportunity to fully participate in the academic activities related to this initiative including contributing to publications and attending scientific conferences. Deadline for applications is 12th Sept 2016. For informal enquiries, please contact p.gleeson(a)ucl.ac.uk ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Post-doc position in computational cognitive neuroscience at UC Berkeley
by Anne Collins Sept. 1, 2016

Sept. 1, 2016

Hello, I run the Computational Cognitive Neuroscience Lab at UC Berkeley ( https://www.ocf.berkeley.edu/~acollins/) and am looking for a postdoc. *Post-doctoral research position at the CCN lab at UC Berkeley:* My lab investigates reinforcement learning, decision-making and executive functions. I’m looking to hire a post-doc interested in these topics. You should have (or be nearing completion of) a PhD in psychology, neuroscience, cognitive science, or a related field. Ideal candidates would have expertise collecting and analyzing EEG or fMRI data, experience in developmental or patient studies, or both. Experience in computational modeling is also highly desirable, and programming experience is essential. However, I welcome applications from anyone with experience and interest in RL, decision-making, or executive functions. This position can begin immediately, but the start date is flexible. To apply, please send your CV, contact information for your references, and a short letter about why you’re interested in this position to Anne Collins ( annecollins(a)berkeley.edu) -- Anne Collins Assistant Professor Tolman Hall, 3429 Department of Psychology University of California, Berkeley (510) 664-7146

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Associate professor position in Data Science (Big Data)
by Hans Ekkehard Plesser Sept. 1, 2016

Sept. 1, 2016

The Department of Mathematical Sciences and Technology (IMT) at the Norwegian University of Life Sciences (NMBU) as Ås near Oslo has a permanent, full-time position available for an Associate Professor in Data Sciences (Big Data). The position is part of the University's programme for the recruitment of top researchers, which aims to recruiting an internationally leading, early-career researcher with a high potential for NMBU. The position requires research of high international quality. Big Data is relevant to several of NMBU's academic communities working within the environmental sciences and biosciences, and is especially important in fields of research and teaching in IMT. The goal is for the position to contribute to collaborations in the field across academic communities at IMT and NMBU. The person appointed to the position must therefore have excellent collaboration skills. The position will include: • one PhD Position (3 years) • NOK 0.25 million in operating funds For a detailed description of the position, our expectations and conditions, please see https://www.jobbnorge.no/en/available-jobs/job/127472/associate-professor-i… Deadline for applications is Oct 1, 2016. Best regards, Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser Associate Professor Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Staff Scientists and Postdoctoral Researchers in Neural Data Analysis and Computational Neurosceince at the Center for Bioelectronic Medicine
by Zanos, Theodoros Aug. 31, 2016

Aug. 31, 2016

The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research in NY (http://www.feinsteininstitute.org/) is building a multidisciplinary team to revolutionize medicine by determining the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. Projects will focus on determining which nerve fibers exert control, the types of signals those fibers use, and how these signals can be manipulated to treat diseases and conditions such as rheumatoid arthritis, paralysis, Crohn's disease, Alzheimer's disease, Parkinson's disease, diabetes, cancer and others. We are currently recruiting for Staff Scientists and Postdoctoral Researchers in the field of neural data analysis and computational neuroscience. The successful candidates will work in the Center for Bioelectronic Medicine, directed by Chad Bouton, in the Neural Decoding and Data Analytics Lab, led by Dr. Theo Zanos. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into: 1. Decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions 2. Reinforcement learning approaches used to select neural stimulation parameters and optimize outcomes 3. Beam-forming, blind source separation, and other techniques to directionally transmit or receive neural signals in peripheral nerves 4. Neural circuits through numerical modeling and biomarker profile analysis * PhD in Engineering, Computer Science, Statistics or a related field required; experience in one or more of the following areas required: - Analysis of Neural Signals - Computational Neuroscience - Machine Learning (Systems Identification & Reinforcement Learning) * Strong Matlab programming skills required, Python and C++ programming experience preferred. * For the Staff Scientist position, applicants must have a minimum of three (3) years of relevant postdoctoral experience. Please forward CV, cover letter and 2 references to CBEM(a)northwell.edu, with the subject line "Post-Doc / Research Scientist in the Neural Decoding and Data Analytics Lab". Theodoros Zanos, PhD Asst Investigator Neural Decoding and Data Analytics Lab Center for Bioelectronic Medicine The Feinstein Institute for Medical Research 350 Community Drive Manhasset, NY 11030 Tel: (516) 562-1204 Cell: (646) 943-3440 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> Northwell Health Visit us at Northwell.edu<http://northwell.edu/> [cid:image001.png@01D203AA.333A0610] The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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