September 2019 - Comp-neuro - lists.cnsorg.org

Open rank faculty position in Psychology at American University with a specialization in human neuroscience
by Laurie Bayet Sept. 5, 2019

Sept. 5, 2019

Dear colleagues, Please see the following link for an Open rank faculty position in Psychology at American University with a specialization in human neuroscience: http://apply.interfolio.com/67455. To ensure full consideration, application materials should be received by October 31, 2019. Please contact Catherine Stoodley, Search Committee Chair, at stoodley(a)american.edu with any questions or inquiries. All the best, Laurie Bayet -- Laurie Bayet, PhD Assistant Professor of Psychology, American University (202) 885-1719

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Fwd: Postdoctoral position in Computational Neuroscience of Social Decision-Making
by Kagan, Igor Sept. 5, 2019

Sept. 5, 2019

A postdoctoral position is immediately available in the Social Neuroscience Team, an innovative collaborative project between groups of Fred Wolf (Bernstein Centre for Computational Neuroscience and Campus Institute Dynamics of Biological Networks) and Alex Gail, Igor Kagan and Stefan Treue (Cognitive Neuroscience Laboratory, German Primate Center, http://www.dpz.eu/cnl) in Goettingen, Germany. The focus of the research is on theoretical foundations, computational modeling and analysis of behavioral and neurophysiological signals underlying social decision-making in humans and nonhuman primates (e.g. https://www.biorxiv.org/content/10.1101/314500v4) The scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exhange within the Leibniz ScienceCampus Primate Cognition (https://www.primate-cognition.eu) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to compneuro-postdoc(a)dpz.eu -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag

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Big models and big data workshop at SFN 2019
by Carnevale, Nicholas Sept. 5, 2019

Sept. 5, 2019

*NSG and HPAC – Large Scale Simulations and Data Processing* **** **A workshop on big models and big data in neuroscience, Saturday, Oct. 19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location. *Summary* This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) The workshop will combine hands-on instruction on how to use NSG, didactic presentations by NSG and HPAC developers, and discussions with experienced users of these resources. The registration deadline for this workshop is Friday, October 10, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for more information and a link to the registration form. *Overview of NSG and HPAC* NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connection Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks.

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Postdoc on modeling the action potential of a swimming neuron
by Romain Brette Sept. 4, 2019

Sept. 4, 2019

A postdoc position is available in the group of Romain Brette in the Vision Institute, Paris, France, in collaboration with Alexis Prevost and Laetitia Pontani from Laboratoire Jean Perrin, to work on the development of a model of the action potential of Paramecium, a “swimming neuron”. More details here: http://romainbrette.fr/postdoc-offer-modeling-the-action-potential-of-a-swi… Paramecium is a large unicellular eukaryote organism which swims in fresh water using its cilia. When it hits an obstacle, mechanosensitive channels open, depolarize the membrane and trigger a calcium-based action potential. In turn, the action potential triggers a reversal of the swimming direction, followed by a change of direction. This is called the “avoiding reaction”, and it is the basis of most Paramecium behavior. The goal of the global project is to develop an integrative model of Paramecium, that includes: sensory transduction, excitability and motility. In other words, a model of the behaving Paramecium in an environment. The specific project for this postdoc is to develop a Hodgkin-Huxley type model of the action potential of Paramecium, together with a phenomenological model of electro-motor coupling, that is, the relation between membrane potential and cilia beating. Technically, the work will involve performing appropriate electrophysiological measurements and then developing and fitting models. The funding is for 12 months (possibly more depending on grant results). Although this may seem short, the project is already well advanced, as we have developed simple reliable ways to do electrophysiological recordings on Paramecium and already collected a number of recordings. Prior experience in electrophysiological recording is not a requirement as it can be learned. Be aware, however, that the work does involve a fair amount of experimental work (but on a model organism that is simple to handle). Conversely, we are also welcoming applications from electrophysiologists with little experience in modeling. To apply, please send a CV and emails of two references to romain.brette(a)inserm.fr <mailto:romain.brette@inserm.fr>. Do not hesitate to ask for more information. Applications will be considered until the position is filled.

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postdoctoral positions in the Rinberg lab at NYU Neuroscience Insititute
by Dmitry Rinberg Sept. 3, 2019

Sept. 3, 2019

The Rinberg lab at NYU Neuroscience Institute (www.rinberglab.com) is seeking to fill multiple postdoctoral positions at the interface of computational systems neuroscience and advanced neurotechnology. We study how olfactory information is represented and processed in neural activity patterns, and how the brain extracts information relevant for behavior. <>We are using wide-field and two-photon imaging, multiunit electrophysiology and behavioral experiments, in combination with theoretical approaches, to study how odors are represented at different stages of neural processing. To understand how spatiotemporal neural codes are read by the brain and evoke behavior, we are developing optogenetic pattern stimulation techniques, including 2P holography. Most of the projects are deeply rooted in theoretical approaches and statistical modeling. In addition, as an applied direction, we are developing bio-electronic nose, a universal, versatile, and sensitive chemical detector based on the mouse olfactory system. The lab has established strong collaborative links with multiple leading labs in theory, statistical methods, technology development, and genetics. <>This is an excellent opportunity for computationally and technologically inclined candidates to find their niche in-between developing cutting edge technologies and applying the technologies to fundamental scientific questions. An ideal candidate should have a background in neuroscience, physics/engineering and math. Knowledge and experience in optics, imaging, multi-neuron physiology and computational methods are a big plus. Interested applicants should send a cover letter, CV to be e-mailed to rinberg(a)nyu.edu

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OPEN FACULTY POSITIONS (Computational neuroscience), RIKEN Center for Brain Science
by Taro Toyoizumi Sept. 3, 2019

Sept. 3, 2019

The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. We are seeking outstanding computational neuroscientists for Team Leader positions (equivalent to U.S. Assistant or Associate Professors). Exceptional applications from internationally established neuroscientists may be considered for indefinite-term Team Leader positions (equivalent to U.S. Full Professors). If candidates have the potential to be outstanding computational researchers, they will be hired as independent Unit Leaders (equivalent to U.S. Assistant Professors), provided that you have a doctoral degree by the date of employment, even if you are still enrolled in a postgraduate doctoral program. Researchers who wish to convert their expertise from other fields (e.g. physics, mathematics, engineering, information science) to computational brain science are also eligible to apply. We will comprehensively evaluate the applicant's scientific achievements and research proposals, etc., and will hire any candidates who match the aims of CBS (please see CBS web page：https://cbs.riken.jp/en/). Since CBS also promotes experimental research, research proposals are expected to aim for collaborative projects in the near future. This is our second round of faculty recruitment at CBS, which follows the successful recruitment of several outstanding candidates as Team Leaders from Japan and abroad in the first round in 2018. [For details, see our home page： https://cbs.riken.jp/en/careers/20190902_w19120_pi_c.html ] Calls for Team Leader positions in other major topics at CBS are currently open to the public (please see https://cbs.riken.jp/career-general/) At RIKEN CBS, research leaders (team and unit leaders) have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader positions must have demonstrated the ability to develop an original, independent and internationally competitive research program. Applications should be submitted by the end of November 2019. Applicants should specify Team leader or Unit Leader positions, should submit the electronic files of a cover letter with a brief summary of their research program and plan, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, reprints of five major publications maximum, and the names and contact details (e-mail address) of three referees, through the application form. If possible, one of the three referees should be the current supervisor, and the letters should be signed and addressed to Dr. Hiroshi Matsumoto, President of RIKEN. All files and recommendation letters should be written in English. RIKEN CBS is located just outside of the international metropolis of Tokyo. English is the primary language used in activities at CBS, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply. RIKEN Center for Brain Science is an Equal Opportunity Employer. Women are strongly encouraged to apply. For further inquiries please contact the RIKEN CBS Search Committee. Email: cbs-search(a)ml.riken.jp Search Committee, RIKEN Center for Brain Science 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Fax: +81-48-462-4914, *Applications are not accepted from this e-mail address.

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PhD opportunities in Computational Neuroscience at Bristol University
by Conor Houghton Sept. 2, 2019

Sept. 2, 2019

The Department of Computer Science in Bristol University is hoping to recruit to a number of EPSRC-funded PhD studentships for a January 2020 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group here with strong collaborative links to local groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting project to offer in the areas of synaptic plasticity, neural data analysis, neural coding, reinforcement learning, neurolinguistics, cortical circuit and credit assignment. https://bristolcnu.github.io/research/ Bristol is a great place to live and work and so we urge you to apply or to recommend this opportunity to suitable student. Anyone interested should contact one of us to discuss potential project and their application; there are notes on the application process below; the application would need to be submitted by 1 October 2020. All the best Conor, Cian, Rui and Laurence ___________ Unfortunately these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) either home students, or EC nationals who have lived in the UK for three years prior to starting the PhD; if the three years have been spent in higher education, then they have to have been resident in the EEA or Switzerland immediately before this. Students should contact one of us before applying. The selection itself goes through a two step process, students are first accepted as PhD students and are then considered for funding. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and selecting "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by 1 October.

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