- Comp-neuro - lists.cnsorg.org

Swartz fellowships in theoretical neuroscience in Seattle: applications open
by Adrienne L Fairhall Oct. 4, 2019

Oct. 4, 2019

The University of Washington's Computational Neuroscience Center is seeking postdoctoral applicants for fellowship positions with the UW Swartz Center for Theoretical Neuroscience. Generously supported by the Swartz Foundation <http://www.theswartzfoundation.org/>, two prestigious Postdoctoral Fellowships are available at the UW CNC. Fellows will join the vibrant, collaborative UW theoretical neuroscience community. This fellowship provides the unique opportunity to work with any of the CNC’s faculty members <https://cneuro-web01.s.uw.edu/people/faculty/>, with the freedom to design and develop projects and new collaborations. Participating faculty members’ research includes theory, computation and data analysis, and members interact extensively with colleagues in quantitative experimentation. Experimental work available for close collaboration at UW includes groups performing large-scale recording (electrophysiology, imaging) and neural manipulation (optogenetics) in diverse behavioral tasks. Collaborations with the Allen Institute for Brain Science are also possible. Successful candidates will have: - A PhD in neuroscience, computer science, mathematics, physics, or a related area - A strong analytical and/or computational background - Track record of productive research, including publications - The initiative to drive projects and collaborations - Strong written and verbal communication skills The Fellowship is available with a starting date in early 2020. Applications are currently being considered beginning October 15, 2019, and will be reviewed on a rolling basis until positions are filled. To apply please send your CV, a 1-2 page summary of research accomplishments, and a 1-2 page statement of research interests, to cncadmin(a)uw.edu; please arrange to have 3 letters of reference sent to the same email address.

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postdoctoral positions Canavier lab New Orleans- hippocampal modeling
by Canavier, Carmen C. Oct. 3, 2019

Oct. 3, 2019

A second Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study hippocampal synchronization in close collaboration with electrophysiologist John White. The successful candidate will construct biophysically realistic models of a hippocampal interneurons and embed them in network models. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… A previously advertised position is also still available. https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits
by Salvador Bernal Oct. 1, 2019

Oct. 1, 2019

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org<http://www.netpyne.org>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models<http://www.netpyne.org/models> and www.netpyne.org/forum<http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne) - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org<http://www.opensourcebrain.org>), Neuroscience Gateway (www.nsgportal.org<http://www.nsgportal.org>), Human Neocortical Neurosolver (www.hnn.brown.edu<http://www.hnn.brown.edu>) and Human Brain Project Collaboratory (www.humanbrainproject.eu<http://www.humanbrainproject.eu>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com<mailto:salvaordura@gmail.com>) ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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Postdoc position on attention and decision-making
by Hrvoje Stojic Oct. 1, 2019

Oct. 1, 2019

We are searching for a postdoctoral researcher for a 2-year project (with possibility of extension) on attention and decision-making. Project lead: Jacob L. Orquin (Aarhus University) Collaboration: Raymond Dolan and Hrvoje Stojic (University College London), Peter Todd (Indiana University) Location: Aarhus University (Denmark) The project aims to investigate the relation between natural visual input, eye movement control and decision-making processes. It will involve state-of-the-art computational modelling of vision, attention and decision making, and behavioural experiments using eye-tracking. The postdoc will have ample room for defining the project based on own interests. We are looking for candidates with experience in vision or decision making research, in ideal case comfortable with computational modelling and conducting eye-tracking experiments, and good coding abilities in either R, Python, or Matlab. The complete job description and submission link is available here: https://international.au.dk/about/profile/vacant-positions/job/postdoctoral… Closing date: 1 November 2019 Informal inquiries about the position can be directed to Jacob L. Orquin at: jalo(a)mgmt.au.dk Apologies for cross-posting. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/

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Professorship (W1-Tenure Track): "Computational Cognitive Science" @ Stuttgart University
by Marc Ernst Oct. 1, 2019

Oct. 1, 2019

The Stuttgart Centre for Simulation Science at the University of Stuttgart, Germany, invites applications for a Tenure Track Professorship (W1) "Computational Cognitive Science". The new professor is expected to cover the field of Computational Cognitive Science both in research and teaching, specifically connecting modern data-driven and computational methods for the modeling and simulation of cognitive processes and their applications to human-computer interaction. The position is one of four new professorships that are established at the University of Stuttgart through the DFG Cluster of Excellence EXC 2075 "Data-driven Simulation Science (SimTech)". The professor will be jointly appointed at the Stuttgart Center of Simulation Science and the Department of Computer Science and Electrical Engineering and linked closely to the Human-Computer Interaction and Cognitive Systems group. We are looking for an ambitious scientist with international standing who will advance the field of Computational Cognitive Science and its respective foundations in Cognitive Science and Computer Science in close interdisciplinary collaboration with researchers from science and engineering as well as from the humanities and the social sciences. Applicants should have made distinguished contributions in at least one of these research areas: • Cognitive modeling and simulation, especially of visual perception • Data-driven and mathematical / statistical modeling of human behavior • Behavioral experiments and evaluation methods • Decision making, human learning and reasoning • Applications of cognitive models and simulations, e.g. in human-robot interaction, computer vision or immersive environments We encourage excellent young scientists in related areas of (cognitive) neuroscience or psychology, machine learning or artificial intelligence or human-computer interaction to apply. We expect contributions to teaching in the Bachelor and Master programs of the Stuttgart Center of Simulation Science and of the Department of Computer Science as well as acquisition of third-party funding and active involvement in further collaborative research projects of the University. The professorship is funded in the context of the joint program for the promotion of early career researchers by the German federal and state governments. The position is a tenure track position leading to an appointment as a W3 professor in case of positive evaluation. The requirements for employment as listed in §51 Baden-Württemberg University Law apply. For more information on the criteria of evaluation and quality management, please visit the website: https://uni-stuttgart.de/tenure-track <https://uni-stuttgart.de/tenure-track> Please submit your application before 20th October, 2019 by e-mail to bewerbung(a)simtech.uni-stuttgart.de <mailto:bewerbung@simtech.uni-stuttgart.de> with one PDF attachment comprising a curriculum vitae, academic degrees and certificates, full list of publications, research and teaching statements, three selected publications as well as the application form. Applications should be addressed to Prof. Dr. Thomas Ertl, Stuttgart Center of Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart. Further information and the application form can be found here: https://www.simtech.uni-stuttgart.de/karriere/jobs/ <https://www.simtech.uni-stuttgart.de/karriere/jobs/>. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail. Please see https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf <https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf> for the official job advert. The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ <https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/> The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. The information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://uni-stuttgart.de/datenschutz/bewerbung <https://uni-stuttgart.de/datenschutz/bewerbung>

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Post Doc position in ERC-funded project at UCL: VR, modelling, ML, MEG - please circulate
by Bach, Dominik Sept. 30, 2019

Sept. 30, 2019

Post doc position in ERC-funded project "Action Selection under Threat", involving VR, behavioural experiments and modelling, wearable magnetoencephalography Location: University College London (UK), Institute of Neurology, Max-Planck/UCL Centre for Computational Psychiatry and Ageing Research and Wellcome Centre for Human Neuroimaging Project lead: Dominik R Bach is a principal research fellow at UCL The project will look at the cognitive-computational control of motor behaviour under acute, immediate threat. We will set up an immersive virtual reality (VR) environment, in which people can move to avoid various threats. We will record people's behaviour using optical and video tracking, and use machine-learning to structure motor trajectories. Scenarios will then be tweaked to expose limitations of the psychological or computational mechanisms that govern behaviour. Finally, we will use wearable magnetoencephalography (OPMs) at the WCHN to investigate the neural basis of these algorithms. We are currently looking for candidates with a PhD in cognitive-computational (neuro)science, applied machine-learning, biomechanics, motor science, or a quantitative field of psychology (e.g. vision, perception, behavioural economics), or similar. More information and how to apply: https://bit.ly/2m7ok7R Closing date: 17 October 2019 d.bach(a)ucl.ac.uk<mailto:d.bach@ucl.ac.uk> Apologies for cross-posting.

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Tenure-track faculty positions in computational neuroscience at BU
by Mark Kramer Sept. 30, 2019

Sept. 30, 2019

The Department of Mathematics and Statistics at Boston University is hiring two positions in computational neuroscience. Details below: i) Tenure-Track Assistant Professor in Statistical Neuroscience The Department of Mathematics and Statistics at Boston University invites applications for a tenure-track Assistant Professor position, pending final approval, in the field of Statistical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. ii) Tenure-Track Assistant Professor in Mathematical Neuroscience The Department of Mathematics and Statistics at Boston University has a long tradition of outstanding research and teaching in the broad field of computational neuroscience, including in mathematical neuroscience. The Department invites applications for a tenure-track Assistant Professor position in the field of Mathematical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

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Postdoc Position in Biomedical Deep Learning, Drexel University
by Liang,Hualou Sept. 27, 2019

Sept. 27, 2019

I have an immediate opening for a post-doctoral fellow to engage in a federally-funded multi-year project in biomedical deep learning. My research group at Drexel University focuses on developing state-of-the art deep learning-based algorithms and applying them to a wide range of problems. Ongoing projects are: * Design of novel and application of existing cutting-edge natural language processing (NLP) models (e.g. Transformer, BERT, GPT-2, XLNet) for biomedical information retrieval and text summarization. This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to guide generic drug product development. * Development of novel and application of existing deep generative models (e.g. GANs, VAEs) to explain the high-dimensional structure and time course of neural population activity. The focus is on the extraction of low-dimensional temporal patterns in high-dimensional spiking and local field potentials datasets in visual attention and working memory tasks, and the development of new tools for causal inference (e.g. copula Granger-causality). The ideal candidate should have, or be about to receive, a Ph.D. in a relevant discipline with substantial computational experience (especially in deep learning/NLP). Programming skills in Python and/or Julia are essential. Knowledge of state-of-the-art NLP/text mining methods and/or deep learning frameworks (e.g. TensorFlow, PyTorch) is advantageous but not required. Interested individuals should email a curriculum vitae and a brief statement of research interests to Dr. Hualou Liang at hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu>. Hualou Liang, PhD Professor School of Biomedical Engineering Drexel University 3141 Chestnut Street Philadelphia, PA 19104 Tel: (215) 571-3706 Fax: (215) 895-4983 hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu> http://www.biomed.drexel.edu/labs/liang/<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.biomed.…> Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104

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Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab
by Aaron Seitz Sept. 26, 2019

Sept. 26, 2019

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, fMRI, and computational methodologies. The UCR Brain Game Center for Mental Fitness and Well-being is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intellige! nce. In both labs we use computational modeling and machine learning as well as standard data analysis approaches. For more information on research in the Seitz labs please see http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu. Prospective graduate students should send an email to aseitz(a)ucr.edu with their CV, and description of research interests. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs. Please forward to anyone that you know that might be interested. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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Post-Doctoral Position to Research Factors That Influence Cognitive Training Outcomes at the University of Wisconsin-Madison, UC Riverside and UC Irvine
by Aaron Seitz Sept. 26, 2019

Sept. 26, 2019

Dear all, Please share the following with anyone that you know that might be interested. C. Shawn Green (UW-Madison), Aaron Seitz (UC-Riverside) and Susanne Jaeggi (UC-Irvine) are seeking to hire a post-doctoral researcher to work on a project funded by the National Institute of Aging. The project is focused on investigating features of cognitive training that differentially lead to learning and transfer of learning in both young adults (college-aged individuals) as well as in older adults. The post-doctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. Successful candidates should have strong technical skills, including in data analysis (R preferred), management skills, creativity and a high-level of conscientiousness, as these are required to play a lead role in this sizeable project. They should also have expertise in one or more of the following areas (and knowledge of the others): working memory, cognitive training, perceptual learning, and methods of assessing individual differences and effects of interventional studies. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be at the University of Wisconsin-Madison in the Learning and Transfer Lab of C. Shawn Green (https://greenlab.psych.wisc.edu/) The lab’s broad focus is to examine factors that alter the rate and generality of learning in both the perceptual and cognitive domains. The University of Wisconsin offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Furthermore, although the postdoc’s primary location will be at UW-Madison, the postdoc will also spend time on the UCR and UCI campuses and work closely with both Seitz and Jaeggi to insure that procedures are coordinated between all three sites and that all personnel are properly trained and supervised. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019
by Michael Denker Sept. 26, 2019

Sept. 26, 2019

***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Two postdoc positions in Diba Lab at U-Michigan
by Kamran Diba Sept. 25, 2019

Sept. 25, 2019

Dear Colleagues, My lab is currently recruiting postdoctoral scholars for two very exciting projects: one to use machine learning to investigate replay during sleep <https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi…> (in collaboration with C. Kemere's lab at Rice U), and another to use µLED optoelectrodes (developed by E. Yoon's lab at U-M) to investigate hippocampal oscillations in episodic memory. Links to the ads are provided here: Machine Learning of Neuronal Spike Sequences: https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi… Optogenetic Examination of Hippocampal Microcircuits: https://sites.lsa.umich.edu/diba-lab/2019/09/24/new-postdoctoral-position-o… Please encourage qualified candidates to apply. Thanks, Kamran Kamran Diba, PhD Associate Professor, Dept of Anesthesiology Affiliate, Dept of Biomedical Engineering Faculty, Applied Physics Program Faculty, Neuroscience Graduate Program University of Michigan Medical School 1150 W. Medical Center Dr. 7433 Med Sci I, SPC 5615 Ann Arbor, MI 48109-5615 ----------------------------------------------------- http://sites.lsa.umich.edu/diba-lab/ ----------------------------------------------------- office: 1-734-764-5502 lab: 1-734-647-9914

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Faculty Positions in Neuroscience
by Yaroslav Molkov Sept. 25, 2019

Sept. 25, 2019

The Neuroscience Institute at Georgia State University (GSU) invites applications for up to two tenure track positions at the rank of Assistant Professor. Preference will be given to individuals using state-of-the-art cross disciplinary approaches incorporating molecular, genetic/genomic, computational, or quantitative methods. Candidates must hold a Ph.D. or M.D./Ph.D. with evidence of excellence in research and the ability to establish a vigorous, externally funded research program while contributing to the Neuroscience Institute’s graduate and undergraduate teaching. The ideal research program would synergize with existing strengths in the Neuroscience Institute (see http://neuroscience.gsu.edu) and GSU’s interdisciplinary University Research Centers ( https://research.gsu.edu/about/) Georgia State is an enterprising R-1 university located in the heart of downtown Atlanta, a vibrant international city in the Southeastern U.S. GSU enrolls and graduates one of the most diverse student bodies in the nation. The Institute is committed to serving this student body and advancing innovative research by building a diverse faculty. Applicants should provide a full curriculum vita, names and contact information for three references, and a statement of research plans and teaching philosophy (5 page limit) that includes their views and experience related to the Institute’s goal of serving a diverse student body in its educational activities. Applications can be submitted either electronically in PDF format to nisearchcommittee(a)gsu.edu or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Review of applications will begin November 1, 2019, and continue until the position is filled. Georgia State University is an Equal Opportunity/Affirmative Action Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.

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Open research position in Excellence Cluster “Science of Intelligence” in Berlin (PhD/Postdoc)
by Sprekeler, Henning Sept. 25, 2019

Sept. 25, 2019

A research position (PhD/Postdoc) is now available at TU Berlin within the Excellence Cluster “Science of Intelligence” (www.scienceofintelligence.de) The goal is to use artificial neural networks to study the relation between network architecture and task properties. The project is supervised by Joerg Raisch (control theory) and Henning Sprekeler (computational neuroscience), and includes a tight collaboration with the lab of John-Dylan Haynes (neuroimaging). The position is fully funded for 3 years. Salary is commensurate with experience, but should allow a comfortable life in Berlin. Envisaged starting date is December 1. The application deadline is October 10. For more information about the Sprekeler and Raisch labs, check out our website: http://www.sprekelerlab.org<http://www.sprekelerlab.org/> http://www.control.tu-berlin.de/ More information on the project and how to apply online can be found here: https://www.scienceofintelligence.de/call-for-applications/open-positions/1… We’re looking forward to your application. Best wishes, Henning --- Henning Sprekeler Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.d<mailto:h.sprekeler@tu-berlin.de>

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Bioinformatician and postdoc job opportunities - De Strooper Lab
by Lyn Sept. 24, 2019

Sept. 24, 2019

Dementia is the greatest health challenge of our century. The UK Dementia Research Institute (UK DRI) is the biggest UK initiative supporting research to fill this gap. Research from UK DRI at UCL covers the journey from the patient to the laboratory and back to the patient with improved diagnosis, biomarkers and candidate therapies put to the test. We are currently recruiting for postdocs in the De Strooper Lab, with opportunities in bioinformatics and neurodegeneration. Posts are full-time and will be based at the Crick. Salary from £35,965 per annum for postdoctoral appointments and £44,674 per annum for senior postdoctoral appointments, inclusive of London Allowance. This is an excellent chance to work on high impact, state-of-the-art projects in a stimulating and social international research environment, undertaking world-class science under the guidance of a leader in Alzheimer’s biology. Detailed information can be found online: Bioinformatician https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDczNCZ2dF90… Research Fellow https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDgzNCZ2dF90… Any questions can be directed to Laura Allum, Head of HR - l.allum(a)ucl.ac.uk Laura Allum Head of HR, UK DRI HQ UK Dementia Research Institute Email | l.allum(a)ucl.ac.uk Web | www.ukdri.ac.uk Twitter | @UKDRI

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PhD positions in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)
by Martin Hebart Sept. 24, 2019

Sept. 24, 2019

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for PhD students. *Our research group* seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a passion for visual and cognitive neuroscience, with good analytical and quantitative skills, and the ability to work both independently and as part of a team. Candidates are expected to have experience in the analysis of behavioral or neuroimaging data (e.g. fMRI, MEG, or EEG) and have good programming skills in Python, Matlab,or R. Experience with machine-learning methods (e.g. Scikit-Learn, PyTorch, TensorFlow), data/code sharing platforms (e.g. GitHub, Docker), or basic web programming (HTML, JavaScript) are desirable. Scientific publications are not required; however, applicants are expected to demonstrate scientific writing skills. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PhD 14/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de <hebart(a)cbs.mpg.de>.

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Postdoc position in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)
by Martin Hebart Sept. 24, 2019

Sept. 24, 2019

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for a postdoctoral researcher. *Our research group *seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a strong interest in the analysis of large-scale neuroimaging datasets using encoding models and machine-learning methods. Candidates are expected to have considerable experience in the analysis of neuroimaging data, strong programming skills in Python or Matlab, and a solid understanding of inferential statistics. Experience with machine learning-methods and related tools (e.g. Scikit-Learn, PyTorch/TensorFlow) and data/code sharing platforms (e.g. GitHub, Docker) are desirable. Candidates are expected to have a PhD in psychology, cognitive science, neuroscience, computer science, or a related field. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PD 15/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de.

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Workshop on big models and big data at SFN 2019
by Carnevale, Nicholas Sept. 23, 2019

Sept. 23, 2019

Space is still available in the *NSG and HPAC – Large Scale Simulations and Data Processing* workshop, which will be held in Chicago on Saturday, Oct. 19, 2019, as a satellite to the SFN 2019 meeting. Come to this workshop to learn about high performance and high throughput computing resources that can help you deal with big data sets or computationally intensive modeling projects. Discover what's in the pipeline, meet the developers, and find out how you can participate and/or take advantage of resources that are already freely available. But act quickly, because the *registration deadline is Thursday, October 10*. See http://www.nsgportal.org/NSG_HPAC_SfN2019_Wkshop.web.htm for the workshop's program, and https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for the online registration form. --Ted

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PostDoc in decision making & learning (Berlin/Potsdam)
by SoyoungQ Park Sept. 23, 2019

Sept. 23, 2019

Dear all, we are seeking for a DFG-funded postdoctoral researcher to work on learning and decision making ( http://www.dife.de/jobs-karriere/stellenangebote/detail.php?id=524&lang=en) I would appreciate it very much if you forward this to interested candidates. Have a great week! Best regards Soyoung

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NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits
by Salvador Dura Sept. 22, 2019

Sept. 22, 2019

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494 <https://elifesciences.org/articles/44494>) and tool website (www.netpyne.org <http://www.netpyne.org/>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models <http://www.netpyne.org/models> and www.netpyne.org/forum <http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne <https://github.com/Neurosim-lab/netpyne>). - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org <http://www.opensourcebrain.org/>), Neuroscience Gateway (www.nsgportal.org <http://www.nsgportal.org/>), Human Neocortical Neurosolver (www.hnn.brown.edu <http://www.hnn.brown.edu/>) and Human Brain Project Collaboratory (www.humanbrainproject.eu <http://www.humanbrainproject.eu/>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com <mailto:salvaordura@gmail.com>)

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Postdoc in neural data analysis at UCSD
by Gal Mishne Sept. 20, 2019

Sept. 20, 2019

A postdoctoral position is available in the research group of Gal Mishne in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. This NIH-funded position includes research on multimodal data analysis, manifold representations of neural activity and multiscale modeling of motor learning. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and computational neuroscience, and includes collaboration with experimental neuroscientists. The position is open immediately as of September 2019. Qualifications: Applicants should have (or expected to get in a near future) Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants should have strong quantitative and programming skills, a track record of published papers and a strong interest in biomedical applications. Preferred Qualifications: Prior experience in the areas of machine learning / data-driven methods, signal processing and/or computational neuroscience, will be viewed favorably but are not strictly required. The position is for one year with renewal for a second and third year pending satisfactory progress. To apply for the position, please e-mail your CV, brief research statement and the contact information for three references to Gal Mishne at gmishne(a)ucsd.edu or at https://academicjobsonline.org/ajo/jobs/14703. Women and minorities are strongly encouraged to apply. The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems.

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NeuroEng 2019, Abstract Submission Extended until October 4, however Early bird registration ends tonight.
by Steven Wiederman Sept. 20, 2019

Sept. 20, 2019

NeuroEng 2019 is the 12th Australasian Workshop on Computational Neuroscience and Neural Engineering to be held in Adelaide, Australia, November 29-30. Due to several requests, Abstract submission for NeuroEng 2019 is extended until October 4th. However, Early Bird Registration ends midnight tonight (Note GMT+10). You can register at this link <%20http:/www.conferenceonline.com/conference_invitation/22847/?key=4FB9B222-4F05-4D7E-91F6-0D70018F77AB> or via neuroeng.org.au Keynote speakers include Professor Barbara Webb (University of Edinburgh) and Professor Yves De Koninck (Univeriste Laval). We also have talks by Prof Andre van Schaik (WSU), Prof David Grayden (Uni Melbourne), Prof Geoff Goodhill (QBI), A/Prof Pulin Gong (Uni Sydney), Prof Mark Jenkinson (Oxford) and many others. Topics include: Neurophotonics, Theoretical, Mathematical and Computational Neuroscience, Neuroprosthetics and Brain Machine Interfaces, Neural Modelling and Engineering, Neuromorphic Engineering, EEG Analysis, Neural Information Processing, Neuroinformatics, Cognitive Modelling, Neuroimaging and Connectomics, Brain Dynamics and Neurophysics. If you have any questions, please do not hesitate to contact me. regards, Steve Dr Steven Wiederman +61 403 079 575, steven.wiederman(a)adelaide.edu.au<mailto:steven.wiederman@adelaide.edu.au>

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POSTDOC Neural Dynamics of Temporal and Spatial Memory
by Andre Longtin Sept. 19, 2019

Sept. 19, 2019

A theoretical/computational neuroscience postdoctoral position is available immediately in the Neurophysics and Nonlinear Dynamics group of André Longtin in the physics department and Centre for Neural Dynamics of the University of Ottawa. I am looking for someone trained in nonlinear dynamics and neural modeling, with a background in either physics or mathematics, and perhaps engineering. The work will focus on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. It will involve bridging single cell and network circuitry. The candidate will be involved in theoretical-experimental collaborations with the Profs. Len Maler and Jean-Claude Béïque, and may interact with other theorists and experimentalists in the Centre. Experience with experimental collaborations will be considered an asset. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. The position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a paragraph about research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. André Longtin

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postdoctoral position Canavier lab New Orleans- hippocampal modeling
by Canavier, Carmen C. Sept. 18, 2019

Sept. 18, 2019

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications)
by Antonio Roque Sept. 18, 2019

Sept. 18, 2019

**** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video <https://www.youtube.com/watch?v=10FDmMw2IbM> APPLICATION DEADLINE: October 5, 2019 SECOND ANNOUNCEMENT Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 8th LASCON, which will take place January 6-31, 2020 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, Germany Salvador Durá-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 5, 2019 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2020 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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