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Research positions in Neuromorphic computing in Singapore
by Yansong Chua Dec. 19, 2018

Dec. 19, 2018

Multiple scientist and engineer positions are open for a neuromorphic program (on-going till 2021) in Singapore, at the Institute for Infocomm Research (I2R), A*STAR. The program is a multi-disciplinary effort, that straddles across the hardware (neuromorphic chip with RRAM, on-chip learning), middleware (emulator) and software (learning algorithms), and we aim to develop a demonstrating application system at end of the program. The program hence presents an unique research opportunity for candidates hoping to build a complete neuromorphic learning system. We are now in the second year of the program and have made good progress on all three aspects of the program. We have still a few openings for talented scientists and both software and hardware engineers who would be excited to work on any aspects of the program (hardware, middleware, software and system integration). Multiple top-ranked universities and research institutes in Singapore (NUS, NTU, IME, IHPC, I2R) are collaborating on the program. The work package I am in-charge of is primarily involved in the design of better algorithms for spiking neural networks. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal encoding: how to better encode external stimuli into spike based representations to facilitate decoding with high fidelity and also better learning performance (in terms of accuracy and power efficiency). - Supervised learning: given that spiking neural networks are asynchronous and sparse in their activities, the design of supervised learning algorithms that can fully capitalize on these properties becomes critical. - Mapping of state-of-art deep learning networks to spiking networks. Neuromorphic learning algorithms are still solving fairly simple problems compared to deep learning. For this, we would like to systematically borrow from the deep learning community networks and learning algorithms that can quickly boost the capabilities of spiking neural networks. - Unsupervised learning. STDP is well suited for unsupervised learning in spiking neural networks, and we would like to further advance STDP learning in spiking neural networks (both theory and applications). Preference will be given to candidates who can document knowledge in deep learning, spiking neural networks or signal processing (with interest in spiking neural networks). Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointment will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg)

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Joint A*STAR (Singapore) and King’s College London PhD Studentship
by Yansong Chua Dec. 19, 2018

Dec. 19, 2018

We would like to encourage potential PhD candidates interested to work on understanding the role of stochastic neuron models in neuromorphic computing to apply for the above PhD studentship. We are including below a non-technical introduction to the project involved. The candidate will be jointly supervised by Prof. Osvaldo Simeone, Professor of Information Engineering, King's College London and Dr. Yansong Chua, Institute for Infocomm Research, A*STAR. For further queries, we maybe reached at: Prof Simeone: osvaldo.simeone at kcl.ac.uk Dr Chua: chuays at i2r.a-star.edu.sg More application details are also available at https://www.kcl.ac.uk/research/funding-opportunities/doctoral-research-oppo… https://www.kcl.ac.uk/research/funding-opportunities/doctoral-research-oppo… For all its recent breakthroughs, modern machine learning based on deep neural networks is becoming increasingly unaffordable in terms of computing and energy resources needed to run training algorithms that achieve state-of-the-art performance. This poses possibly insurmountable challenges for the implementation of efficient learning methods on resource-limited devices such as smart sensors or wearables. A possible solution to this problem is the adoption of the new paradigm of neuromorphic computing, which relies on energy-efficient sparse spike-domain processing and communication that are inspired by the operation of the brain. Whether Spiking Neural Networks (SNNs) can overcome the limitations of conventional deep networks for the implementation of low-power machine learning is a fundamental question that is currently being investigated by major technology companies and universities. In this project, this issue will be tackled both theoretically and through hands-on experiments by leveraging the complementary expertise of the respective research teams at KCL and A*STAR. Specifically, this research will seek to understand whether conventional deterministic models for SNNs can be improved by probabilistic models, which are typically used in neuroscience to model the brain operation, in terms of accuracy, speed, and robustness. In the first two years, at KCL, the project will concentrate on deriving models and learning rules for probabilistic SNNs. In the last two years, at A*STAR, the research will shift to aspects related to implementation, with a focus on the comparison between deterministic and probabilistic SNNs and on the use of nano-scale devices for the implementation of probabilistic SNNs.

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Call for abstracts, AMAM 2019, Adaptive motion in animals and machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland
by Auke Ijspeert Dec. 19, 2018

Dec. 19, 2018

AMAM 2019, Adaptive Motion in Animals and Machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Call for abstracts and robot demonstrations, deadline March 8th, 2019 Investigating how animals and humans excel at adaptive movements can help engineers to improve the adaptive capabilities of robots. In return, robots can serve as scientific tools to explore the basic principles of biological systems, in particular the neuromechanical mechanisms underlying their fascinating motor abilities. AMAM 2019 is the 9th international symposium dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to motor behavior in biological and artificial systems. Previous symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); and Sapporo, Japan (2017). Two-page abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts will be presented in poster sessions. Invited talks will be presented in oral sessions in a single track (see the exciting list of speakers below). We also encourage participants to contribute hardware demonstrations, as part of the ‘Robot Zoo’@AMAM2019. See https://amam2019.epfl.ch/ for instructions. Important dates: * Jan 18th, 2019 Opening of the extended abstract submission * March 8th, 2019 Deadline of extended abstracts submission * April 12th, 2019 Notification of acceptance for extended abstracts * May 31st, 2019 Deadline of submission for Robot Zoo (Robot Demos) * August 19-23, 2019 Conference Sponsors: Maxon https://www.maxonmotor.com Plenary speakers: * Grégoire Courtine, EPFL, Switzerland * Monica Daley, Royal Veterinary College, UK * Dario Floreano, EPFL, Switzerland * Radhika Nagpal, Harvard University, USA * Lena Ting, Emory University & Georgia Institute of Technology, USA * Herman van der Kooij, University of Twente & Delft University of Technology, Netherlands Invited speakers: * Shinya Aoi, Kyoto University, Japan * David Franklin, Technische Universität München, Germany * John Hutchinson, Royal Veterinary College, UK * Tetsuya Iwasaki, University of California, Los Angeles, USA * Katsu Kagaya, Kyoto University, Japan * Sangbae Kim, MIT, USA * Megan Leftwich, The George Washington University, USA * David Lentink, Stanford University, USA * Charlotte Le Mouel, Max Planck Institute for Intelligent Systems, Germany * Poramate Manoonpong, University of Southern Denmark, Denmark * Kamilo Melo, EPFL, Switzerland * Katja Mombaur, Heidelberg University, Germany * Beth Mortimer, University of Oxford, UK * Ulrike Müeller, California State University, Fresno, USA * Jamie Paik, EPFL, Switzerland * Pavan Ramdya, EPFL, Switzerland * Chris Richards, Royal Veterinary College, UK * Nidhi Seethapathi, University of Pennsylvania, USA * Simon Sponberg, Georgia Institute of Technology, USA * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barbara Webb, University of Edinburgh, UK * Rob Wood, Harvard University, USA * Kotaro Yasui, Tohoku University, Japan Program Committee: * Hitoshi Aonuma, Hokkaido University, Japan * Jordan Boyle, Leeds University, UK * Monica Daley, Royal Veterinary College, UK * Koh Hosoda, Osaka University, Japan * Fumiya Iida, Cambridge, UK * Auke Ijspeert, EPFL, Lausanne, Switzerland * Akio Ishiguro, Tohoku University, Japan * Masato Ishikawa, Osaka University, Japan * Takeshi Kano, Tohoku University, Japan * Sangbae Kim, MIT, USA * Jun Nishii, Yamaguchi University, Japan * Dai Owaki, Tohoku University, Japan * Andre Seyfarth, TU Darmstadt, Germany * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barry Trimmer, Tufts University, USA * Eric Tytell, Tufts University, USA * Hartmut Witte, TU Ilmenau, Germany Local organization committee: * Jonathan Arreguit * Alessandro Crespi * Florin Dzeladini * Peter Eckert * Sylvie Fiaux * Anne Koelewijn * Mehmet Mutlu * Laura Páez * Amy Wu -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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2 Postdoc positions in Social Neuroscience - Portugal
by Agustin Petroni Dec. 18, 2018

Dec. 18, 2018

The Biomedical Neuroscience Lab, Faculty of Sciences, University of Lisbon ( https://dpratalab.wordpress.com/) is seeking candidates for two postdoctoral positions, one in fMRI and the other in EEG. The selected candidates will be part of a project that studies the physiological bases of social reinforcement learning in healthy subjects and patients, in particular the oxytocin system. Applications should be sent via e-mail to diana.prata(a)kcl.ac.uk, including a CV with publications and a letter of interests by December 28th. The salary is competitive according to the cost of living in Portugal, and will be dependent on experience. Both positions are funded for a maximum of three years. Official call http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=106522

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Job Opening: Exploring Metrics of Consciousness in the Mouse (at the Allen Institute for Brain Science)
by Anton Arkhipov Dec. 18, 2018

Dec. 18, 2018

A new exciting job opportunity is open at the Allen Institute for Brain Science: Scientist I – Exploring Metrics of Consciousness in the Mouse. Please apply here: http://alleninstitute.org/what-we-do/brain-science/careers/job-search/ Follow the link above and then choose the position “Scientist I – Exploring Metrics of Consciousness in the Mouse” from the list of all available positions. Please feel free to contact me with any questions: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. Thanks! Scientist I – Exploring Metrics of Consciousness in the Mouse We are seeking a Scientist to join a project dedicated to measuring consciousness in humans and animals, and establishing mechanistic underpinnings of consciousness. This is a collaboration between the laboratory of Prof. Giulio Tononi at the University of Wisconsin in Madison and scientists at the Allen Institute of Brain Science under Dr. Christof Koch, in the groups of Associate Investigators Anton Arkhipov and Shawn Olsen. The scientist in this position will focus on estimating consciousness in the mouse brain by applying the differentiation and integrated information metrics, developed by our collaborators, to cortical neuronal activity measured in awake mice using optical physiology and electrophysiology (Neuropixels) recordings at the Allen Institute. The scientist will also contribute to the analysis of perturbative experiments in mice, where electrical stimulation will be delivered via an extracellular electrode and cortical activity will be simultaneously recorded. Studying data from these experiments under various conditions of consciousness and non-consciousness (awake, sleep, anesthesia) and ultimately with perturbations (via pharmacology and/or optogenetics), we aim to elucidate the contributions of different parts of the brain to consciousness. The focus of this work is to extend and validate certain predictions from the Integrated Information Theory of Consciousness (IIT). JOB RESPONSIBILITIES: • Analyze optical physiology and electrophysiology recordings to measure differentiation and integrated information. • In collaboration with theoreticians and experimentalists in house and at other institutions, explore how various neuronal populations and circuit architectures may underlie the trends observed in physiological recordings. • Publish/present findings in peer-reviewed journals/scientific conferences. REQUIRED QUALIFCATIONS: • PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. • Strong publication record • 0-2 years’ experience in computational science such as: neuroscience and/or systems neuroscience, computational physics, biophysics, and related disciplines. PREFERRED QUALIFICATIONS: • Strong background in scientific programming is a plus. • Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. Anton Arkhipov Associate Investigator antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> T: 206.548.8414 www.alleninstitute.org<http://www.alleninstitute.org>

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CNS*2019 Barcelona: Call for Workshop Proposals and Tutorials
by Sharon Crook Dec. 18, 2018

Dec. 18, 2018

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA We request proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting or introduce novel methodology through a tutorial with only a few of the headaches of organizing it. We look forward to your submissions. CALL FOR WORKSHOPS (see below and also https://www.cnsorg.org/cns-2019-call-for-workshops) Martin Zopotocky, Workshop Organizer, CNS*2019 CALL FOR TUTORIALS (see below and also https://www.cnsorg.org/cns-2019-call-for-tutorials) Hermann Cuntz, Tutorial Organizer, CNS*2019 1. WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS*2019, BARCELONA Workshops, in which computationally related neuroscience topics can be presented, will take place during the last two days (July 16 and July 17 2019) of the 28th Annual Computational Neuroscience Meeting (https://www.cnsorg.org/cns-2019) For each workshop, usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Please note that there is a change in the format of the meeting compared to previous years. The main meeting will conclude on July 16, with a keynote lecture and a poster session taking place in the afternoon. The morning of July 16 is reserved for workshops. A goal of this "mixed day" of the meeting is to facilitate an overlap of attendance. Participants who have registered for either the main meeting or the workshops will be allowed to attend all of the events on July 16 (workshops, keynote, poster session). The last day of the meeting, July 17, is reserved for workshops, as in the previous years (workshop registration will be required to attend). Accordingly, the possible duration of a workshop is anywhere from 0.5 days (one session lasting 3.5 hours) to 1.5 days (three half-day sessions). Half-day workshops will be preferentially scheduled for July 16. They will thus offer the opportunity to attract a wider audience still present for the main meeting. Submit workshop proposals to: workshops(a)cnsorg.org. The Past Meetings page (https://www.cnsorg.org/past-annual-meetings) gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * WORKSHOP TITLE * ORGANIZERS (list primary organizer first; include affiliations and emails) * WORKSHOP DURATION * NUMBER OF EXPECTED SPEAKERS * BRIEF DESCRIPTION (~150 words; if possible, say why this is significant or timely) * SPEAKERS (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer on only one workshop. * The number of confirmed speakers is a criterion for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. DEADLINE: Workshops submitted before January 31, 2019 will be given priority in acceptance. Workshop proposals arriving after January 31, 2019 will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after May 15, 2019. 2. TUTORIAL PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS*2019, BARCELONA Tutorials are intended as introductions into main methodologies of various fields in computational neuroscience. Tutorials are particularly tailored for early stage researchers as well as researchers entering a new field in computational neuroscience. The tutorials will be held on the first day of the meeting, July 13 2019, with a typical total attendance of approximately 100 attendees, allowing for four concurrent sessions during the day. Three different formats are available: * Introductory FULL DAY courses (incl. some reimbursement for the tutors) * Specialized HALF DAY tutorials (incl. some reimbursement for the tutors) * 30 MINUTES software showcase (no funding available) Submit tutorial proposals to: tutorials(a)cnsorg.org. Please compare with last year's tutorials at https://www.cnsorg.org/cns-2018-tutorials. Note that our new format, the showcases, will be combined into one continuous afternoon program. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * TUTORIAL TITLE * ORGANIZERS (list primary organizer first; include affiliations and emails) * FORMAT (full day, half day, showcase) * BRIEF DESCRIPTION (max. 300 words; include links to relevant software) DEADLINE: Tutorial proposals should be submitted before January 31, 2019. Registration: Workshop registration will occur through the OCNS registration web site for CNS*2019. All workshop participants, including speakers must register. Each workshop is eligible to receive registration waivers for 2 speakers. Travel awards: A limited number of Travel Awards will be available for organizers or speakers. Priority will be given to postdocs and early career faculty. Travel Award amounts will be variable, depending on distance traveled. Please indicate which speakers you would like to be considered for this mechanism but take into account that there likely will be fewer Travel Awards than workshops.

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PhD studentships available at the University of Sussex
by Anil Seth Dec. 18, 2018

Dec. 18, 2018

Ph.D. Scholarships available at the University of Sussex: From sensation and perception to awareness. We are delighted to invite applications for the second round of the Leverhulme Doctoral Scholarship Programme in ‘From Sensation and Perception to Awareness’, hosted across multiple Schools at the University of Sussex. Up to eight fully funded positions will be awarded (for UK/EU applicants), starting Sep 2019. The aim of the programme is to bring together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. Applicants can select from a range of projects or propose their own. Pre-specified projects are divided into three main themes: (i) Human-computer interaction and digital arts, (ii) human cognitive neuroscience and computational neuroscience, and (iii) sensory neuroscience. For more details and for how to apply please see https://www.findaphd.com/search/PhdDetails.aspx?CAID=3783 and https://www.sussex.ac.uk/sensation/applications. For more on the Programme please visit https://www.sussex.ac.uk/sensation/, and follow us on Twitter @SensationSussex. Email enquries to Leverhulme(a)sussex.ac.uk<mailto:Leverhulme@sussex.ac.uk>. Application deadline is 31 January 2019. The programme is co-directed by Anil Seth (Engineering and Informatics) and Jamie Ward (Psychology). ------------------------------------------- Anil K. Seth, D.Phil. University of Sussex, UK Professor of Cognitive and Computational Neuroscience Co-Director, Sackler Centre for Consciousness Science Editor-in-Chief, Neuroscience of Consciousness Senior Fellow, Canadian Institute for Advanced Research Engagement Fellow, Wellcome Trust www.anilseth.com<http://www.anilseth.com>, www.neurobanter.com<http://www.neurobanter.com> @anilkseth

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Announcement of Spring School on Computational Cognitive Science, March 25th to 31st 2019 in Freiburg, Germany
by Jannis Born Dec. 18, 2018

Dec. 18, 2018

We are excited to announce that registration is now open for our new, NENS-awarded spring school (“I²C²S³”, International Interdisciplinary Computational Cognitive Science Spring School). Its first iteration will take place in the period of March 25th – 31th, 2019 at the Bernstein Center Freiburg, Germany. This annual spring school is designed for researchers and students from all fields with an interest in computational approaches to the brain and cognitive sciences. We encourage all participants to present their own research in the format of a poster or a Blitz talk. Following a five-day educational program with a mixture of invited talks and instructive tutorials, the event will conclude with an optional two-day Hackathon. Attendees can receive one ECTS-point for their participation in the event. Registration is free, apart from a 20 Euro deposit. Master or PhD students currently residing outside of Germany are eligible to apply for one out of 4 stipends of 750 Euro (generously provided by FENS/IBRO-PERC) to cover the costs associated with their attendance. Registration will be closed on February 16th 2019 11:59pm. Preliminary list of speakers: * Radoslaw Martin Cichy (Free University Berlin, Department of Psychology and Education) * Frank Jäkel (Technische Universität Darmstadt, Centre for Cognitive Science) * Falk Lieder (MPI Intelligent Systems, Tübingen, Rationality Enhancement Group) * Timo Flesch (University of Oxford, Human Information Processing Lab) * Michael Tangermann (University of Freiburg, Brain State Decoding Lab) * Stefan Rotter (Bernstein Center Freiburg, Computational Neuroscience Lab) * Carsten Mehring (Bernstein Center Freiburg, Neurobiology and Neurotechnology) * Peggy Series (University of Edinburgh, Institute for Adaptive and Neural Computation) * Lilian Weber (ETH Zurich, Translational Neuromodeling Unit) For a preliminary program, please visit our webpage at http://iiccsss.eu/. Please do not hesitate to write us an email (info(a)iiccsss.eu) if you have any questions. Feel free to spread this announcement to your friends and colleagues. We look forward to seeing you @IICCSSS2019. Sincerely, The organization committee -- Jannis Born Maryna Kapitonova Jan Kirchner Lukas Vogelsang

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Announcing Okinawa/OIST Computational Neuroscience Course 2019
by Erik De Schutter Dec. 18, 2018

Dec. 18, 2018

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2019 Methods, Neurons, Networks and Behaviors June 24 to July 11, 2019 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 24th through July 11th, 2019 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2019. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 16th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Claudia Clopath (Imperial College, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Wenbiao Gan (New York University, USA) • Geoff Goodhill (University of Queensland, Australia) • Jun Izawa (Tsukuba University, Japan) • Mike Hausser (University College London, UK) • Bernd Kuhn (OIST) • Eve Marder (Brandeis University, USA) • Peggy Series (University of Edinburgh, UK) • Greg Stephens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Yoko Yazaki-Sugiyama (OIST) • Yi Zeng (Chinese Academy of Sciences, China)

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Postdoctoral position(s) available in group of N. Kopell
by Nancy Kopell Dec. 17, 2018

Dec. 17, 2018

A 2-year (extendable) postdoctoral fellow position in computational neuroscience is available at Boston University with Nancy Kopell. The successful candidate will build neural models capable of simulating neural dynamics underlying the oscillatory behavior involved in auditory cognition, particularly in relation to active sensing and speech processing. The goal of this work is to better elucidate cellular and network pathways in the brain that underlie auditory and visual cognition. There will be opportunities for interaction with a large community of experimental and computational neuroscientists via the Conte Center for Basic Neuroscience Research, a highly networked group that includes Boston University, Columbia University Medical Center, The Nathan S. Kline Institute for Psychiatric Research, Princeton University and UC Berkeley. The Conte Center contains members with expertise in vivo and in vitro physiology, fMRI, EcOG, data analysis, and dynamical systems modeling. In addition to the above opening, there may also be positions to work with Kopell and experimentalists on a modeling project involving interactions of pyramidal cells and multiple kinds of interneurons to form cognitively important cell assemblies. Applications for such positions are also welcome. Qualified candidates should have a strong mathematics or physics background, preferentially with experience in dynamical systems, as well as strong programming experience. Preference will be given to candidates with experience using detailed biophysical models. Experience with experimental neuroscience is also helpful. The deadline for applications is Feb 1, 2019. Interested candidates should email a CV, statement of research interests, three letters of recommendation, and if applicable, relevant publications to xiaoshi(a)bu.edu. Applications should include a listing of those sending letters of recommendation. Boston University is an equal opportunity employer.

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