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Post-doctoral position in Systems Neuroscience at Yale

by Anirvan Nandy

[Apologies for cross-posting] The Nandy lab <https://nandylab.org/> and the Jadi lab <https://www.jadilab.org/> in the Departments of Neuroscience & Psychiatry at the Yale School of Medicine has an opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention. Applicants with the following skills are particularly encouraged to apply: (a) research background in systems or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modelling). The candidate will carry out high-density multi-areal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modelling in a highly collaborative research environment. The position is initially for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled. Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychology, Psychiatry, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology and more. The Wu Tsai Institute, Kavli Institute for Neuroscience, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog. Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, person with disabilities, protected veterans, individuals from underrepresented minority groups are strongly encouraged to apply. Interested candidates should e-mail their applications to anirvan.nandy(a)yale.edu <mailto:anirvan.nandy@yale.edu>. The application should include: (1) CV; (2) a one-page description of research interests; (3) contact information for 3 referees. -------------------------------------------------------------------------- Anirvan Nandy, PhD Yale Orthwein Scholar for Vision Science Dept. of Neuroscience | Kavli Institute | Wu Tsai Institute Yale University https://nandylab.org <https://nandylab.org/>

Oct. 17, 2022

Paid Research Internships in AI and Brain Research (CaCTuS)

by Helena Dalmau Felderhoff

-- Apologies for cross-posting -- Our international internship program, CaCTüS, offers paid research internships at the Max Planck Institute for Biological Cybernetics, the Max Planck Institute for Intelligent Systems and the AI Center in Tübingen & Stuttgart (Germany) to students who face significant constraints in their pursuit of a career in AI or brain research. We would be very grateful if you could help us reach students who may benefit from our program. You can do that by distributing the call for applications in your professional networks, among your colleagues and any interested students, or by sharing our posts on social media. You may find details on the program and links to our social media posts below. We thank you in advance for any support you are willing to give us. If you have any questions, please feel free to contact us. Kind regards, Helena Dalmau Felderhoff - on behalf of the CaCTüS Internship coordination team - About the CaCTüS Internship program <https://cactus-internship.tuebingen.mpg.de> cactus-internship.tuebingen.mpg.de The sciences of biological and artificial intelligence are rapidly growing research fields that need enthusiastic minds with a keen interest in solving challenging questions. The Max Planck Institutes for Biological Cybernetics and Intelligent Systems as well as the AI Center in Tübingen & Stuttgart (Germany) offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2023. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments and data analysis. The CaCTüS Internship is aimed at young scientists who are held back by personal, financial, regional or societal constraints to help them develop their research careers and gain access to first-class education. The program is designed to foster inclusion, diversity, equity and access to excellent scientific facilities. We specifically encourage applications from students living in low- and middle-income countries which are currently underrepresented in the Max Planck Society research community. Application deadline: 4 December 2022 Social Media Links Twitter: <https://twitter.com/MPICybernetics/status/1581941564699336704> https://twitter.com/MPICybernetics/status/1581941564699336704 Facebook: <https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/343340166 3555491> https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/3433401663 555491 Instagram: <https://www.instagram.com/p/Cjz1mpssJjm/> https://www.instagram.com/p/Cjz1mpssJjm/ LinkedIn: <https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208> https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208 ************************************************ CaCTüS Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 Tübingen Germany <mailto:cactus-internship@tuebingen.mpg.de> cactus-internship(a)tuebingen.mpg.de <http://cactus-internship.tuebingen.mpg.de/> http://cactus-internship.tuebingen.mpg.de/ ************************************************

Oct. 17, 2022

Postdocs in computational neuroscience, decision-making: U Penn/U Houston/CU Boulder

by Zachary Kilpatrick

We are seeking up to two postdoctoral fellows to join an ongoing, collaborative project on adaptive decision-making jointly directed by Joshua Gold and Long Ding at the University of Pennsylvania, Krešimir Josić at the University of Houston, and Zachary Kilpatrick at the University of Colorado at Boulder. The positions are fully funded for 2–3 years each by our joint Collaborative Research in Computational Neuroscience (CRCNS) grant, “Adaptive Decision Rules in Dynamic Environments”. Both positions will be fully integrated into our cross-disciplinary team, which involves bi-weekly virtual meetings, annual in-person meetings, and other collaborative opportunities to ensure close, bi-directional interactions between theory/modeling and experiments. One position will be housed at the University of Pennsylvania and will focus on experimental approaches, including psychophysics and pupillometry in humans; psychophysics, pupillometry, and neurophysiology in non-human primates; and theory-driven, quantitative data analyses. The other position will be housed at the University of Houston and will focus on theoretical and modeling approaches, including stochastic and probabilistic models and their circuit-level implementations, assessed and updated via our experimental data using statistical model identification and comparison. The University of Pennsylvania, University of Houston, and University of Colorado at Boulder are all Equal Opportunity Employers with strong support for postdocs, via Penn’s Biomedical Postdoctoral Programs office, the University of Houston Postdoctoral Fellows Association (UHPFA), and UC Boulder’s Office of Postdoctoral Affairs. We value diversity in all forms and strive to promote a healthy, inclusive working environment. Applicants should send a CV and cover letter to Joshua Gold (jigold(a)pennmedicine.upenn.edu <mailto:jigold@pennmedicine.upenn.edu>) or Krešimir Josić (kresimir.josic(a)gmail.com <mailto:kresimir.josic@gmail.com>). Informal inquiries are also welcome.

Oct. 17, 2022

FW: Paid Research Internships in AI and Brain Research (CaCTuS)

by Susan Fischer

-- Apologies for cross-posting -- Our international internship program, CaCTüS, offers paid research internships at the Max Planck Institute for Biological Cybernetics, the Max Planck Institute for Intelligent Systems and the AI Center in Tübingen & Stuttgart (Germany) to students who face significant constraints in their pursuit of a career in AI or brain research. We would be very grateful if you could help us reach students who may benefit from our program. You can do that by distributing the call for applications in your professional networks, among your colleagues and any interested students, or by sharing our posts on social media. You may find details on the program and links to our social media posts below. We thank you in advance for any support you are willing to give us. If you have any questions, please feel free to contact us. Kind regards, Susan Fischer - on behalf of the CaCTüS Internship coordination team - About the CaCTüS Internship program cactus-internship.tuebingen.mpg.de The sciences of biological and artificial intelligence are rapidly growing research fields that need enthusiastic minds with a keen interest in solving challenging questions. The Max Planck Institutes for Biological Cybernetics and Intelligent Systems as well as the AI Center in Tübingen & Stuttgart (Germany) offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2023. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments and data analysis. The CaCTüS Internship is aimed at young scientists who are held back by personal, financial, regional or societal constraints to help them develop their research careers and gain access to first-class education. The program is designed to foster inclusion, diversity, equity and access to excellent scientific facilities. We specifically encourage applications from students living in low- and middle-income countries which are currently underrepresented in the Max Planck Society research community. Application deadline: 4 December 2022 Social Media Links Twitter: https://twitter.com/MPICybernetics/status/1581941564699336704 Facebook: https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/343340166… Instagram: https://www.instagram.com/p/Cjz1mpssJjm/ LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208 ************************************************ CaCTüS Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 Tübingen Germany cactus-internship(a)tuebingen.mpg.de http://cactus-internship.tuebingen.mpg.de/ ************************************************

Oct. 17, 2022

5 year Neuroscience MSc/PhD Programme in Tuebingen

by Peter Dayan

5-Year combined MSc/PhD program of the International Max Planck Research School: The Mechanisms of Mental Function and Dysfunction The Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year combined MSc/PhD program leading to a PhD in Neuroscience. MSc Scholarships will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is 30th November 2022. Please visit: https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details and information about applying. The MSc/PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2023) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English.

Oct. 17, 2022

Closing Soon: Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK) [Fixed link]

by Mark Humphries

[Apologies! posting again with fixed link to the job application portal] The Humphries’ lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s. The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org) The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. For queries please contact Professor Mark Humphries, mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI437522 Closing data: October 26th 2022 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Oct. 17, 2022

Postdoc positions: real-time neuroscience & neural dynamics

by Memming Park

Dear colleagues, Two open postdoc positions are available in the Neural Dynamics Lab led by Memming Park at the Champalimaud Centre for the Unknown in Lisbon, Portugal. We are looking for motivated scientists and engineers with experience and passion in two broad areas related to analysis of neural recordings: (1) statistical neuroscience, signal processing & control, and/or real-time systems, (2) machine learning (VAE, active learning, meta learning), theoretical neuroscience, and/or dynamical systems. The project is centered around inferring the effective dynamics and latent neural computation at the population level from a closed-loop neural recording system. Details & application: http://catniplab.github.io/postdoc-hiring/ https://fchampalimaud.org/offers/two-postdoctoral-positions-mp-2pd-oct2022 For any questions, please do not hesitate to contact me. Best wishes, Il Memming Park -- Group Leader, Champalimaud Centre for the Unknown, Portugal Associate Professor, Stony Brook University, USA

Oct. 17, 2022

Closing Soon! Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK)

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s. The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org) The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522 Closing date: October 26th 2022 Professor Mark Humphries | Professor of Computational Neuroscience My book "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" is out now in hardback, ebook, and audiobook! https://press.princeton.edu/books/hardcover/9780691195889/the-spike Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Oct. 17, 2022

New Book: Information Theory

by James V Stone

New book (well, new edition). Information Theory: A Tutorial Introduction. Contains two new chapters: Rate Distortion Theory and Transfer Entropy. Reviews, table of contents, code, and Chapter 1 here: https://jamesstone.sites.sheffield.ac.uk/books/information-theory-2nd-editi… regards, Jim Stone -- James V Stone Honorary Associate Professor, Sheffield University, UK. Web: https://jamesstone.sites.sheffield.ac.uk/books Twitter: @jgvfwstone

Oct. 17, 2022

ANNOUNCEMENT: comp-neuro has moved to new host

by Erik De Schutter

Dear comp-neuro subscriber, I am glad to announce that the comp-neuro mailing list has moved to a new home. This was necessary because the previous set-up became increasingly hard to maintain since I left the University of Antwerp. As a consequence it became difficult for aspirant members to subscribe and mails were sometimes delayed. The mailing list has now moved to a cloud based home and runs a more recent version of the software. I expect this will provide a stable solution with a better service. Appropriately, it is now managed by the Organization for Computational Neurosciences. Please encourage your colleagues, collaborators, students, etc who are not member yet to subscribe to comp-neuro, now that the website works again. From now on please use: - Email to post to mailing list: comp-neuro(a)lists.cnsorg.org - Email to contact admin/moderators: comp-neuro-owner(a)lists.cnsorg.org - Webpage of mailing list (to subscribe / unsubscribe / view archives): https://www.cnsorg.org/comp-neuro-mailing-list Erik De Schutter Okinawa Institute of Science and Technology

Oct. 14, 2022