February 2022 - Comp-neuro - lists.cnsorg.org

Postdoc in Computational Neuroscience at NYU

by Cristina Savin

Postdoc in Computational Neuroscience at NYU We are seeking a creative and driven computational neuroscience postdoctoral fellow to work on a collaborative project between the labs of Dora Angelaki (https://angelakilabnyu.org/ <https://angelakilabnyu.org/>) and Cristina Savin (http://www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin>) at New York University. The project studies neural representations underlying foraging behavior in monkeys, comparing both freely-moving and head-restrained behaviors, funded by the NIH BRAIN Initiative. The position is initially for one year, with the possibility of renewal. The successful candidate will have: a strong quantitative background demonstrable interest in neuroscience obtained (or be close to the completion of) a PhD in computational neuroscience, physics, mathematics, computer science, machine learning, statistics, etc ability to work in a strongly collaborative and interdisciplinary setting Preference will be given to candidates with: expertise in probabilistic machine learning strong programming skills, ideally in python previous experience with neural data analysis To send your application please provide your cv, a brief statement of research interests, and the contact details for reference letters to <csavin(a)nyu.edu <mailto:csavin@nyu.edu>>. For informal queries, please contact Cristina Savin (csavin(a)nyu.edu <mailto:csavin@nyu.edu>) or Dora Angelaki(da93(a)nyu.edu <mailto:da93@nyu.edu>). We will be available for in person discussions at the upcoming Cosyne meeting.

Feb. 28, 2022

Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück.

by Peter König

Great opportunity in Computational Neuroscience: Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück. (apologies for multiple postings) Full details at: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… --- This tenure-track Professorship is funded by the German Federal Government and the Länder under its Program for the Promotion of Young Academics (Tenure-Track Program). Upon meeting the general administrative requirements, you will be employed as a civil servant on limited tenure for an initial period of three years. If you receive a positive evaluation after the initial three years, this period can be extended by up to three further years. If you meet Osnabrück University’s standards with respect to ability, competence and academic achievement, you will be offered a tenured W2 Professorship in accordance with the relevant legal provisions without further application. Tasks and Responsibilities: Research and teaching should be in the area of computational neuroscience. The professorship and research should be focused on understanding principles of neuronal information processing and cognitive processes. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (e.g. RTG Situated Cognition, RTG Computational Cognition) and should participate in the respective continuation research proposal of the Research Training Group Computational Cognition. In addition, the professorship should engage in teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Conditions of Employment: Condition of employment is: - Research experience in the field of neuronal information processing with the focus of understanding principles of neuronal information processing or cognitive processes. - Research focus on at least one of the two following topics: - Methods of Experimental cognitive neuroscience like EEG, MEG, fMRI, TMS, cell recordings, eyetracking, or virtual reality - Models of information processing in neurons, networks of neurons like for example deep neuronal networks and machine learning. - A coherent research profile, must be motivated by or explain experimental data and there must be a realistic perspective to implement all parts of the own research, including the experimental components or data collection, at the university of Osnabrück. - An excellent command of the English language. - Willingness to participate in university administrative processes and commission work. For non-German speaking applicants, willingness is expected to learn the German language with a sufficient proficiency within two years. In addition, it would be welcome: - Teaching experience in the field of the professorship - Experience with acquiring third party research funding. Legal Conditions of Employment: You will hold a first degree, have a strong commitment to teaching, and have demonstrated your ability to engage independently in advanced academic research, as a rule by obtaining an outstanding PhD (in accordance with Section 30 subsection 2 of the Lower Saxony Higher Education Act [NHG]) in a relevant subject. The time between the applicant’s final PhD examination or the completion of other equivalent qualifications which qualify the applicant for the position in accordance with Section 30 para. 2 sentence 1 No. 3 Lower Saxony Higher Education Act and the applicant’s application for the assistant professorship should be no longer than four years. This period of time does not include periods caring for a child or several children under 18 years of age or periods caring for a dependent relative and increases by up to two years per child or period of care to a maximum four years in multiple cases of care (Section 30 para. 5 Lower Saxony Higher Education Act). The position is available on a full-time or part-time basis. Osnabrück University is a family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. If two candidates are equally qualified, preference will be given to the candidate with disability status. For further information, please contact Prof. Dr Gordon Pipa, Tel. +49 541-969-2277, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application (including a resume with full details of your scholarly and scientific employment history, list of publications and courses taught as well as planned research) in electronic form (as one pdf file) together with the “Bewerbungsprofil” [“Applicant Profile”] (DOCX, 13,58 kB) to the Dean of the School of Human Sciences, Prof. Dr. Susanne Boshammer, Universität Osnabrück, 49069 Osnabrück (bewerbungfb08(a)uni-osnabrueck.de) to arrive by March 27, 2022. Please enter the code word "CNtt" in the subject of your e-mail. We look forward to receiving your application. -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

Feb. 28, 2022

Cerebellar computation postdoc

by Nicolas Brunel

A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position. For more information on the labs: Regehr Lab: https://urldefense.com/v3/__https://regehrmedharvard.wordpress.com/__;!!OTo… Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to: Kim McDaniels Kimberly_Mcdaniels(a)hms.harvard.edu<mailto:Kimberly_Mcdaniels@hms.harvard.edu> Please have the subject of the email: “Computational Postdoc Applicant:” Your Name

Feb. 25, 2022

Assistant Prof (W1) TT @ Uni Osnabrück, Germany

by Ulrich G. Hofmann

This open position may be of interest to Comp Neuro scientists: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… ulrich hofmann

Feb. 25, 2022

Okinawa/OIST Computational Neuroscience Course 2022: application deadline extended

by Erik De Schutter

Because of impending changes to Japanese border controls we want to give potential applicants more time to consider spending a few summer weeks in Japan: the deadline for applications has been extended to Sunday March 2022. On Jan 25, 2022, at 11:31 , Erik De Schutter <erik(a)oist.jp> wrote: OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2022 Methods, Neurons, Networks and Behaviors June 13 to June 29, 2022 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc After two consecutive cancelations due to COVID-19, OCNC 2022 will take place on June 13-29, preceding Neuro2022 (https://neuro2022.jnss.org) in Okinawa. Depending on the immigration situation in June the course will be either pure on-site or hybrid: a mixture of on-site and remote. 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 June 13 through June 29, 2022 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 26 - March 20, 2022. Applicants will receive confirmation of acceptance end of April. The 17th OCNC will be a shorter course than in the past: a two-week course covering single neurons, networks, and behaviors with time for student projects. Teaching will focus on methods with hands-on tutorials during the afternoons, and 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. However in the case of a hybrid format course, only on-site students will receive support for student projects. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide 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: • Michael Berry II (Princeton University, USA) • Anne Churchland, Cold Spring Harbor Labs, USA • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll, Norwegian University of Life Sciences (online) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Yukiyasu Kamitani, Kyoto University, Japan • Bernd Kuhn (OIST) • Sang Wan Lee, KAIST, South Korea • Devika Narain, Erasmus Medical Center, Rotterdam, Netherlands • Viola Priesemann, MPG Göttingen, Germany (online) • Ivan Soltesz, Stanford University, USA • Greg Stuart, Australian National University, Australia • Greg Stephens (OIST) • Saori Tanaka, (ATR, Japan) • Marylka Yoe Uusisaari (OIST)

Feb. 25, 2022

Postdoctoral position in "Multiphysics Brain Aging Modeling" at Stevens Institute of Technology, New York City, USA

by Johannes Weickenmeier

Dear all. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier (www.weickenmeierlab.com<http://www.weickenmeierlab.com>). The Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available now until filled. To apply, please send a motivation letter, CV, and contact information for 2-3 references to Prof. Johannes Weickenmeier (johannes.weickenmeier (at) stevens.edu) Stay well, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering |phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

Feb. 23, 2022

14ᵗʰ Advanced Scientific Programming in Python in Bilbao Spain, 5–11 September, 2022

by Jakob Jordan

ASPP2022: 14ᵗʰ Advanced Scientific Programming in Python ======================================================== a Summer School by the ASPP faculty and the Faculty of Engineering of the Mondragon University, Bilbao https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 5–11 September, 2022. Bilbao, Spain. Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 1 May, 2022. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. We are in the process of securing some funds for supporting students with accommodation and living costs. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Jakob Jordan, Department of Physiology, University of Bern Switzerland • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde Denmark • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam Germany • Nicolas Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Diseases, University of Bordeaux France • Pamela Hathway, GfK, Nuremberg Germany • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany Organization team in Bilbao: • Aitor Morales-Gregorio, Theoretical Neuroanatomy, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich, Germany • Carlos Cernuda, Data Analysis & Cybersecurity, Faculty of Engineering, Mondragon Unibertsitatea, Bilbao Spain Website: https://aspp.school Contact: info(a)aspp.school

Feb. 23, 2022

Call for proposals for workshops and tutorials at CNS*2022 Melbourne

by Thomas Nowotny

OCNS Organisation for Computational Neurosciences Dear com-neuro community, We are requesting proposals for workshops and tutorials at CNS*2022 from the international community of computational neuroscientists. The 31st Annual Computational Neuroscience Meeting, CNS*2022, will be held at Melbourne, Australia, 16-20 July 2022. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2022 Meeting. This is an excellent opportunity to reach international audience of computational neuroscience researchers participating in this meeting. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org<mailto:workshops@cnsorg.org> or tutorials(a)cnsorg.org<mailto:tutorials@cnsorg.org> as appropriate. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals: April 15 Jorge Mejias, Workshops Chair for CNS*2022 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2022-call-for-tutorials Deadline for proposals: April 15 Anca Doloc-Mihu, Tutorials Chair for CNS*2022 With kind regards, Thomas Nowotny, Vice President, on behalf of The OCNS Board of Directors -- Prof Thomas Nowotny Head of AI Research Group School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873

Feb. 23, 2022

Fully funded PhD position, University of Groningen/NL

by Michael Biehl

*Last reminder, j**ust a few days left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications *(before March 1)* are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Feb. 23, 2022

NEUROTECH: Call for tutorials on Neuromorphic Computing

by Elisa Donati

Dear Colleagues, Given the success of last year’s NEUROTECH educational program, we have planned a new tutorial series for 2022! We are happy to announce a call for tutorials on the different aspects of the neuromorphic field. These tutorials will cover an aspect of active research in Neuromorphic Technology, with the aim of enabling a non-expert audience to get started on it. They will be held online via zoom, should be about 45 minutes in length, including a discussion session. Tutorials could be given by experienced researchers as well as emerging leaders who seek to disseminate their research methods to a wider audience. Presenters will benefit from the high visibility of the tutorial sessions within the NEUROTECH programme, and from the wider dissemination of their research methods and potential impact generated by other researchers. Proposals should not exceed 1 page (A4 or letter) in length. The proposal should outline the topic and indicate how the audience will benefit from it. Send your proposal by 07.03.2022 to educational(a)neurotechai.eu with the subject "Proposal for NEUROTECH Educational Tutorial". For more information: Call for Tutorials About NEUROTECH: The NEUROTECH project is committed to community building around Neuromorphic Technology. The educational programme is an essential pillar of our activities. Last year we have built a strong educational programme around a series of talks by leaders in the field (https://neurotechai.eu) Kind Regards, The NEUROTECH Educational Team

Feb. 23, 2022