- Comp-neuro - lists.cnsorg.org

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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