March 2023 - Comp-neuro - lists.cnsorg.org

Python Package: SER model
by Fabrizio Damicelli 08 Aug '24

08 Aug '24

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. 11 Mar '24

11 Mar '24

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

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Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)
by Kenji Doya 21 Oct '23

21 Oct '23

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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Call for paper: The 16th International Conference on Brain Informatics (BI'23) in Hoboken NJ & NYC (Aug 1-3 2023)
by Feng Liu 31 Mar '23

31 Mar '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS *The 16th International Conference on Brain Informatics (BI'23)* August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes Conference homepage: www.wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline **** Confirmed Keynote Speakers **** - *Professor Emery N. Brown* Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - *Professor Bin He* Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - *Professor John Ngai* Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - *Professor Helen Mayberg* Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - *Professor Vinod Goel* Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” Dept. of Psychology, York University, Canada - *Professor Amy Kuceyeski* Director of Computational Connectomics (CoCo) at Weill Cornell Medicine, Cornell University, USA *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *Real-time Journal's Impact Factor: 8.5*. *** Paper Submission and Publications *** Paper Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline * 03 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference Contact Us: http://wi-consortium.org/conferences/bi2023/contact.html

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Postdoc/PhD positions in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen 30 Mar '23

30 Mar '23

Multiple postdoctoral and PhD positions are available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking highly motivated and dedicated students and post-docs to join our group in Toulouse, France. Successful candidates will have formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. We will also use advanced AI models to improve the decoding and understanding of brain activity. Details on the ideas that will be developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the recently created Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have direct access to fMRI recording facilities and to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 2 years (renewable for a 3rd or 4th year), and 3-years for PhD. The beginning post-doc salary is 2,590 Euros/month (net), and can reach 3,200 Euros/month (net) for more experienced post-docs. The PhD stipend is 2,000 Euros/month (net). We expect to hire several candidates by the Fall of 2023, but will continue to recruit exceptional applicants in the foreseeable future. To apply, please send a CV and a letter <mailto:rufin.vanrullen@cnrs.fr> explaining your research interests and motivations to: rufin.vanrullen [at] cnrs.fr Any questions should also be directed to the same address. --

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NWB Workshops: User Days, Developer Days, and NeuroDataReHack
by Ryan Ly 28 Mar '23

28 Mar '23

Dear colleagues, We are pleased to inform you about upcoming Neurodata Without Borders (NWB) <http://nwb.org/> workshops: NWB User Days, NWB Developer Days, and NeuroDataReHack. NWB User and Developer Days July 24th - 29th, 2023 HHMI Janelia Research Campus <https://www.janelia.org/>, VA, United States Registration deadline: April 1st, 2023 The NWB User Days (July 24th - 26th) will train users how to convert their data to NWB and publish it on the DANDI Archive <http://dandiarchive.org/>, starting from the basics and proceeding to NWB extensions, advanced data engineering techniques, and tools for analysis and visualization of NWB data. The NWB Developer Days (July 27th - 29th) will bring neuroscientists, tool builders, and research software engineers together to further the development of the NWB software ecosystem, including the data standard, core software packages, official tools, and community tools. The event is free to attend. Meals and accommodations will be provided, and you may request support for travel. To learn more and register for one or both, please visit the NWB User and Developer Days website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK15_2023_Janelia/> . NeuroDataReHack 2023 September 5th - 8th, 2023 Hotel Andalucia Center in Granada, Spain <https://www.hotelescenter.es/en/hotel-andalucia-center-granada/> Application deadline: May 1st, 2023 The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 120+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from The Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your result is present in another species or brain area. - Showcase the capabilities of your tool or analysis on existing data from another lab. - Explore follow-up questions to a study. Following the event, participants will be invited to apply for a Kavli Foundation Neurodata Discovery Award, which awards $50,000 (USD) of funding to continue projects that come out of the NeuroDataReHack event. This event is held as a satellite of the IBRO World Congress 2023 <http://ibro2023.org/>. Attendance of IBRO 2023 is not a requirement for application. The event is free to attend. Meals and accommodations will be provided to attendees. Learn more and apply at the NeuroDataReHack 2023 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK16_2023_Granada…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro <http://catalystneuro.com/> Oliver Ruebel, Lawrence Berkeley National Laboratory <https://www.lbl.gov/> -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Graduate student workshop at Washington University in St Louis
by Goodhill, Geoffrey 28 Mar '23

28 Mar '23

Opportunity for senior graduate students! The newly established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its inaugural Computational Neuroscience Next Generation symposium, September 18-20th 2023: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for students selected to present. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity for graduate students to share their research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is April 28th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus 25 Mar '23

25 Mar '23

Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 26 to August 23, 2023. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 31*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. 2023 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2023 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Nicolas Brunel, Duke University Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Marlene Cohen, U. of Pittsburgh Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University John Murray, Yale University Srdjan Ostojic, ENS - PSL Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Sebastian Seung, Princeton University Reza Shadmehr, Johns Hopkins Univ. Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Nao Uchida, Harvard University Byron Yu, Carnegie Mellon University Greg Wayne, DeepMind

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Postdoctoral positions in sensory coding and memory - University of Sheffield
by Andrew Lin 22 Mar '23

22 Mar '23

Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How do brains encode sensory information and form associative memories? Andrew Lin's lab at the University of Sheffield is seeking postdoctoral research associates to study these fundamental questions in neuroscience in the olfactory system of the fruit fly Drosophila. We aim to discover neuronal plasticity mechanisms that underlie associative memory and the maintenance of optimal sensory coding, in the Drosophila mushroom body (the fly’s olfactory memory centre). Of special note to the comp-neuro email list, we are particularly looking for at least one of the postdocs we hire to have expertise in computational neuroscience. We seek to tie computational models of what plasticity rules would be ‘optimal’ for memory, with experiments testing whether the real brain actually uses these ‘optimal’ rules. This research will use a range of techniques including: in vivo two-photon calcium imaging, electrophysiology, fly genetics, behavioural experiments, computational modelling and building custom equipment. The exact project can be tailored to your background, but expertise in at least some of these techniques is essential, along with a PhD in a relevant field (or equivalent experience), excellent communication skills and an ability to work in a team. We welcome self-motivated, innovative, and creative applicants from a range of academic backgrounds, including biology, neuroscience, experimental psychology, computer science, physics and engineering. Closing date: 4 April 2023 Apply at this link: https://bit.ly/LinPostdoc2023 More about the lab: https://www.aclinlab.org/ Expected start date: 1 September 2023 (earlier or later start date may be possible, happy to discuss) We welcome international applicants and the university will reimburse the post-holder for many visa expenses: https://www.sheffield.ac.uk/jobs/induction/before/international/visas For informal enquiries, contact Andrew: andrew.lin(a)sheffield.ac.uk -- Andrew Lin School of Biosciences University of Sheffield Firth Court Western Bank Sheffield S10 2TN +44 (0) 114 222 3643 http://www.aclinlab.org

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Postdoc in computational neuroscience/machine learning at the University of Nottingham (UK)
by Mark Humphries 22 Mar '23

22 Mar '23

The Humphries’ lab at the University of Nottingham is seeking a postdoc to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make innumerable stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to develop new computational accounts of stay-or-leave decisions, and use them to test hypotheses for how humans, primates, and rodents learn and make these decisions. The work will draw on and develop new reinforcement learning and accumulation (e.g. diffusion) models of decision-making. The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world (https://www.humphries-lab.org) This post will join our developing research program into how humans and other animals learn to make the right decisions (e.g. https://doi.org/10.1101/2022.08.30.505807) The post is until 14th February 2025. 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. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI092323 Closing date: March 30th 2023 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.

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Postdoctoral position in theoretical neuroscience at Bocconi University (Milan, Italy)
by Alessandro Sanzeni 21 Mar '23

21 Mar '23

Hi all, A fully-funded, three-year postdoctoral position in computational neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it All the best, Alessandro Sanzeni

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Open position: Postdoctoral position in Human Psychophysics in Tuebingen, Germany
by Pavlovic, Maria 20 Mar '23

20 Mar '23

Postdoctoral position in Human Psychophysics (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS and/or EEG methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by May 31st, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

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RA Position in Intracranial EEG in New York
by Tostaeva, Gelana 16 Mar '23

16 Mar '23

The human intracranial EEG Laboratory at The Feinstein Institutes for Medical Research – Hofstra Northwell School of Medicine in New York is looking for one research assistant to start as soon as possible and by June 2023. The successful candidate will help with the lab’s research into (1) improving the identification of functional and pathological brain regions in individuals suffering from epilepsy, (2) the neural mechanisms of cognition, and (3) the characterization of macroscale human brain networks. The lab works exclusively with patients being evaluated for epilepsy surgery using methods such as invasive stereo EEG and electrocorticography recordings (iEEG, ECoG), anatomical MRI, fMRI, DTI, and direct electrical brain stimulation. The responsibilities will include assisting with the collection and analysis of the aforementioned data, project management, assistance with grant applications and progress reports, help with analysis of neural and imaging data using existing scripts (Matlab, Python), further development of those scripts (depending on coding and signal processing proficiency), and helping to present lab findings at conferences and in journals. The relative weighting of responsibilities can be adjusted depending on the interest of the applicant. If there is interest, the RA will have her/his own scientific project with dedicated time to work on it. Past research assistants in the lab have presented their work at clinical and basic research conferences, co-authored lab publications, and are working on first-author publications. They have gone on to medical schools or PhD programs after spending 1-3 years in the lab. This unique position will expose the successful applicant to basic and clinical neuroscience as well as neurosurgery, neurology, and neuropsychology. The location of the institute allows living either in the suburban neighborhoods of Long Island or in vibrant Brooklyn or Queens. Some employees also commute from Manhattan. It is a great opportunity for recent post-bacs interested in medical school or graduate school in neuroscience/biomedical engineering. ------------- Qualifications ------------- Minimum: -B.A./B.S./B.E. in an appropriate discipline (e.g., neuroscience, psychology, biomedical engineering, computer science, physics) -1 year commitment Desirable: -Prior experience working with neuroimaging, EEG/MEG, or brain stimulation data -Previous experience working with patients -Previous work in a research laboratory that shows evidence of independent scholarship, problem-solving, and motivation -Experience with at least one programming language (MATLAB, R, or Python) and statistical analyses -2-year commitment preferred For more information about the position, please send your CV along with your questions to Drs. Stephan Bickel (sbickel(a)northwell.edu) and Ashesh Mehta (amehta.northwell.edu) You can also find the job posting here<https://urldefense.com/v3/__https://jobs.northwell.edu/job-3/17988989/resea…>. We are looking forward to hearing from you! -- Gelana Tostaeva she/her/hers Research Associate Human Brain Mapping Lab The Feinstein Institutes for Medical Research The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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PhD position in Computational Psychology of Perception at Stockholm University
by Pawel Herman 16 Mar '23

16 Mar '23

Dear colleagues, We are looking to hire a doctoral student in computational psychology with focus on olfactory perception and cognition as part of the interdisciplinary collaboration between the Department of Psychology at Stockholm University (SU) and the Division of Computational Science and Technology at KTH Royal Institute of Technology (KTH), Stockholm, Sweden. This joint research effort led by Prof. Jonas Olofsson at SU and Dr. Pawel Herman at KTH offers an opportunity to leverage the potential of computational network models to gain mechanistic insights into perceptual and cognitive phenomena. The project will contribute to the development of the next-generation psychologists capable of flexibly utilising a wide spectrum of experimental and computational techniques to pursue increasingly challenging questions in human perception, research that has tangible clinical implications. As mentioned, the project will focus on the sense of smell as a model system. More information about the positions can be found here: https://www.su.se/english/about-the-university/work-at-su/available-jobs/ph… Interested candidates are encouraged to reach out to Jonas Olofsson (jonas.olofsson AT psychology.su.se) and/or Pawel Herman (paherman AT kth.se) directly to informally discuss the positions. Best regards Pawel Herman and Jonas Olofsson ------------------------------------ Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building) tel. +46 8 790 6513

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[CFP, Deadline Extended] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs
by Murat Kuşcu 16 Mar '23

16 Mar '23

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- *Paper Submission Deadline Extended:* *31 March 2023* ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 31 March 2023 (Extended Deadline) First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

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Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging
by von Lühmann, Alexander, Dr. 15 Mar '23

15 Mar '23

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging The independent research group "Intelligent Biomedical Sensing (IBS)<http://www.ibs-lab.com/mission-statement>" headed by Dr.-Ing. Alexander von Lühmann<https://www.bifold.berlin/people/dr-alexander-von-luehmann.html> is hiring! We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG). Working field: * Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications. * Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis * Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions * Scientific publishing, pursuit of doctoral degree is possible. * Teaching duties Employer: TU Berlin/BIFOLD Salary grade: TV-L 13 Berliner Hochschulen Starting date: at the earliest possible Closing date: 24.03.2023 Full job posting: IV-112/23<https://tub.stellenticket.de/de/offers/161900/?search%5Bfulltextsearch%5D=I…> | BIFOLD<https://www.bifold.berlin/about-us/opportunities/research-assistant-tv-l-13> | IBS Lab<http://www.ibs-lab.com/get-involved> __________________________ Dr.-Ing. Alexander von Lühmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png@01D95722.774D00A0] BIFOLD-ML | Machine Learning Department Technische Universität Berlin Fakultät IV – EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com<http://www.ibs-lab.org/> www.bifold.berlin<http://www.bifold.berlin/> www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

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Postdoctoral Position at Johns Hopkins: Selective attention in deep neural networks
by Ernst Niebur 14 Mar '23

14 Mar '23

The computational neuroscience group, headed by Prof. Ernst Niebur, in the Department of Neuroscience of Johns Hopkins University is recruiting one or more postdoctoral fellows. This is a collaborative project with the Johns Hopkins Electrical and Computer Engineering Department and the Allen Institute for Brain Research in Seattle, WA. Project: Deep learning has achieved impressive performance in many tasks which is driven by the capacity for backpropagation to “assign credit” to a vast array of parameters. This achievement is obtained at the cost of large energy consumption and many needed examples for learning. Furthermore, machine learning performance still pales in comparison with the energy efficiency and capacity to generalize when compared to biological systems. In this project, we will use mechanisms of selective attention, akin to those used in biological cognition, to constrain and direct the task of credit assignment during learning. Start date: As soon as possible. Affiliation: The computational neuroscience group (http://cnslab.mb.jhu.edu) is part of the Krieger Mind/Brain Institute at Johns Hopkins University and the Johns Hopkins University School of Medicine. Requirements: * PhD in computational neuroscience, computer science, or a closely related field preferred. Candidates with a PhD in physics, mathematics, engineering, psychology, ... with a proven track record of creative thinking will be considered * Solid quantitative/mathematics training * Solid programming skills * Experience in deep learning strongly preferred * US citizens/permanent residents preferred * Women and members of underrepresented minorities strongly preferred Please send applications via email to niebur(a)jhu.edu, including * Complete CV including contact information, transcripts and a list of publications * Names, email addresses, and phone numbers of three references

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Reminder! Fast Lane to Slow Science – Online panel discussion to celebrate International Women's Month – 20 March 2023, 13h GMT / 14h CET
by Sidarus, Nura 14 Mar '23

14 Mar '23

Hi, Can you please advertise a reminder for the following event. Thank you in advance, Nura Sidarus. ----- Fast Lane to Slow Science Online panel discussion to celebrate International Women's Month Monday, 20th March 2023 – 13h GMT / 14h CET You are warmly invited to join us in celebrating International Women's Month with an online panel discussion on "Fast Lane to Slow Science". If "fast science is bad for scientists and bad for science" (Frith, TiCS, 2019), how can we move towards a Slow Science? What are the implications for the evaluation of science and scientists? And for equity and diversity? Join our panel of world leading scientists, who have been shaping science, science evaluation and science policy in Europe, to discuss these questions and more: * Professor Dame Uta Frith, Institute of Cognitive Neuroscience, University College London, UK. Author of "Fast Lane to Slow Science<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.…>" (TiCS, 2019). * Professor Sylvie Lorente, College of Engineering, Villanova University, USA. Member of the ERC Scientific Council. * Professor Toma Susi, Faculty of Physics, University of Vienna, Austria. Member of the Steering Board of the Coalition for Advancing Research Assessment. Details and registration: https://www.eventbrite.co.uk/e/womens-month-celebration-panel-discussion-on…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Organised and chaired by Dr Nura Sidarus, Royal Holloway University of London, and facilitated by Dr María Jesús Maraver, University of Granada. Conceived by Women in Cognitive Science - Europe<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…> & supported by Department of Psychology, Royal Holloway, University of London<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…>. This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Postdoctoral position in computational analyses of calcium imaging data, IIT (Italy)
by Stefano Panzeri 13 Mar '23

13 Mar '23

Profs Tommaso Fellin (IIT, Genoa, Italy) and Stefano Panzeri (UKE, Hamburg, Germany) are seeking candidates for a fully funded postdoctoral position in computational neuroscience at the Italian Institute of technology. The successful candidate will conduct research in the experimental Optical Approaches to Brain Functions Group led by Fellin at ITT ( https://www.iit.it/it/web/optical-approaches-to-brain-function) in close collaboration with the computational laboratory of Panzeri at UKE (Department of Excellence for Neural Information Processing https://www.uke.de/english/departments-institutes/institutes/department-of-…) We will investigate, by developing and using advanced data analysis methods and biophysically plausible network models, how populations of neurons and of astrocytes in the brain interact to encode information and use it to produce appropriate behaviors. Our laboratories have established a close and fruitful experimental-theoretical collaboration for a decade, and offer a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. We also offer thriving research environments, including many international collaborations several funded by the NIH Brain Initiative, the Simons Foundation, the European Union. This gives successful candidates strong opportunities for interdisciplinary training and scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available from May 2023 and applications will be considered as soon as they are received. Candidates are encouraged to email us ( tommaso.fellin(a)iit.it and stefano.panzeri(a)gmail.com) as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects. For recent publications from our labs relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. PLoS Biology 20: e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Sità, et al A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging. Nat Commun 13, 1529 (2022) Antonini A, et al (2020) Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness *eLife* 9:e58882. Panzeri S, et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri and Tommaso Fellin

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REMINDER – Application deadline approaching for the Systems Vision Science Summer School
by Pavlovic, Maria 13 Mar '23

13 Mar '23

Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tübingen, Germany -------------------------------- REMINDER APPLICATION DEADLINE MARCH 31, 2023! Applications are invited for a brand new summer school designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics, with talks and posters by additional participants. All summer school participants are invited to attend, and welcome to submit contributions to the symposium. For participation and contribution to the symposium only, click here <https://summerschool.lizhaoping.org/contributions-for-symposium/> to find more information. -------------------------------- Invited lecturers and speakers include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 -------------------------------- Please apply via https://summerschool.lizhaoping.org/application <https://summerschool.lizhaoping.org/application/> by March 31, 2023. Please check out our webpage https://summerschool.lizhaoping.org to find more out about the program, our invited lecturers/speakers, and other details. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), July 19-27, 2023
by Klaus Wimmer 11 Mar '23

11 Mar '23

Applications for the Barcelona summer school for Advanced Modelling of Behavior (BAMB!<http://www.bambschool.org/>) are still open until March 15. Thanks to additional funding, we have reduced the course fee to 750 Eur. A limited number of course fee waivers and travel grants will also be available. Scientists from underrepresented groups and countries are especially encouraged to apply. BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive, systems and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). The school is organized by the Centre de Recerca Matemática<http://www.crm.cat/>. Organizers: Chris Summerfield (Oxford / Deepmind) Marion Rouault (Paris Brain Institute) Klaus Wimmer (CRM, Barcelona) Heike Stein (ENS, Paris) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Anne Collins (UC Berkeley) Elaine Corbett (UC Dublin) Maria Eckstein (Deepmind) Alex Hyafil (CRM, Barcelona) John Krakauer (John Hopkins) Marion Rouault (Paris Brain Institute) Chris Summerfield (Oxford / Deepmind) Valentin Wyart (ENS Paris) Klaus Wimmer (CRM, Barcelona) Dates and location: July 19-27, downtown Barcelona, Spain Applications are open until March 15. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Postdoc position in Computational / Statistical Neuroscience @NYU
by Chen, Zhe 10 Mar '23

10 Mar '23

Postdoctral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from immediately, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) CV; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>).

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Call for workshops for INCF Neuroinformatics Assembly 2023
by INCF 10 Mar '23

10 Mar '23

*Call for workshops for INCF Neuroinformatics Assembly 2023* Do you have a great workshop idea? Let us know! <http://bit.ly/INCFAssembly23WSideas> We are inviting all members of the INCF community to submit proposals for workshop themes to be included in the virtual INCF Neuroinformatics Assembly 2023 this autumn. Please note that submission of workshop themes does not require submitters to commit to being the workshop chair. This year’s theme is Transparency in FAIR Neuroinformatics. Here are some topics we would like to see represented at Assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools We encourage several forms of workshops: - Classical workshops that focus on a particular research area within neuroinformatics, including proposals for continuations of workshops that were held at previous general INCF Assemblies or discipline-specific conferences (e.g., OHBM, OCNS, FENS, etc…) - Workshops that focus on emerging neuroinformatics topics and applications or on open research questions and challenges - Cross-discipline workshops that foster the exchange of ideas between groups that are unaware of each other’s research - Birds-of-a-feather sessions - Other topics of interest to the neuroinformatics community Submit your ideas no later than March 24 using this form <https://forms.gle/d9z6BicgWNdWvN2b7>. /The INCF Secretariat

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Advanced Medical Imaging Workshop in Python - Los Angeles - April 23-28 2023
by sreekar chigurupati 09 Mar '23

09 Mar '23

Dear Researcher, DIPY is an internationally-recognized software used for processing structural (3D) and diffusion (4D) imaging data. Funded by the NIH and used in surgical planning for over a decade. Join us for an exciting in person workshop hosted in Santa Monica, Los Angeles. April 23-28. https://dipy.org/workshops/latest This disruptive workshop provides 5 days of hands-on tutorial sessions in Python opening the box of the internal mechanisms of state-of-the-art ML algorithms. Our comprehensive program is designed to equip you with the skills and knowledge needed to master the latest techniques and tools in structural and diffusion imaging. Do not miss learning about our new set of ML-driven pre-processing tools! See figure above! Our team of expert instructors will guide you through the fundamentals of diffusion theory, data pre-processing, fiber tracking, and much more. You'll have the opportunity to learn from industry-leading professionals, ask questions, and network with like-minded peers. Register today to secure your spot in this highly anticipated event! Thank You, DIPY team

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Women in Memory Research - Deadline approaching - 15.03.23
by Vinita Samarasinghe 09 Mar '23

09 Mar '23

A final reminder regarding our Women in Memory Research program. The deadline for applications is 15.03.23 (as is the deadline for submitting abstracts for GEM 2023). The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Ricarda Schubotz, University of Munster; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Resilience Workshop PM Funding and support structures 16.06.2023 Lab visits *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Special Session on Recent Advances in Spiking Neural Networks at ICANN 2023 - Call for Papers
by Sebastian Otte 07 Mar '23

07 Mar '23

Special Session on Recent Advances in Spiking Neural Networks at the 32nd International Conference on Artificial Neural Networks (ICANN) 2023 - Call for Papers Conference Dates: 26th to 29th of September 2023 ======================================================================= The special session invites contributions on recent advances in spiking neural networks. Spiking neural networks have gained substantial attention recently as a candidate for low latency and low power AI substrate, with implementations being explored in neuromorphic hardware. This special session aims to bring together practitioners interested in efficient learning algorithms, data representations and applications. Methodological as well as applied contributions are solicited, including topics like (non-exhaustive list): - Spiking Neural Network Models - Spike Response Models - Temporal Codes - Learning Algorithms for SNNs - Neuromorphic Computing Contributions (full papers or extended abstracts) have to be submitted through the regular ICANN submission system at: https://e-nns.org/icann2023/ Select track ASNN 2023 (Recent Advances in Spiking Neural Networks Special Session). Accepted papers to the special session will appear in the proceedings of the ICANN 2023 conference. IMPORTANT DATES: - Full paper and extended abstract submission: Apr. 9, 2023 - Notification of acceptance: 30th of June 2023 - Conference dates: 26 – 29 September 2023 PROGRAM COMMITTEE: t.b.a. ORGANIZERS: Prof. Dr. Sander Bohté Machine Learling Centrum Wiskunde & Informatica (CWI) Amsterdam, The Netherlands Dr. Sebastian Otte Neuro-Cognitive Modeling University of Tübingen Tübingen, Germany Please find a PDF version of this call at: https://bit.ly/3mkXeJt

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[Meetings] 2023 Nengo Summer School Call For Applications (deadline March 15)
by Michael Furlong 07 Mar '23

07 Mar '23

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 8th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: March 15, 2023*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 4th to June 16th, 2023 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you!

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Konstanz School of Collective Behavior 2023 Deadline Approaching .
by Ahmed El Hady 07 Mar '23

07 Mar '23

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

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Postdoc & PhD positions in TU Darmstadt, Germany
by Angela Yu 06 Mar '23

06 Mar '23

Postdoc & PhD positions in TU Darmstadt, Germany After 14 years as faculty at the University of California (San Diego), Prof. Angela Yu has recently joined TU Darmstadt as an Alexander von Humboldt AI Professor. Immediately available, and for the foreseeable future, are multiple positions for: Postdocs PhD students Master’s students Interns Research assistants Prof. Yu’s group conducts research at the intersection of natural and artificial intelligence. Her group uses mathematically rigorous and algorithmically diverse tools to understand the nature of representation and computations that give rise to intelligent behavior, with particular regard to the challenges posed by inferential uncertainty and the opportunities afforded by volitional movement. Using diverse machine learning and statistical tools, e.g. Bayesian statistical modeling, control theory, reinforcement learning, and information theory, theoretical frameworks and mathematical models are developed to explain various aspects of cognition important for intelligence: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Some example research questions currently pursued in the group include: - How does the ability to move and interact with the world facilitate perception, decision making, and representation learning? - Are human attention and working memory capacity limitation bugs or features? - How do humans represent and process faces? - How does the brain learn a general-purpose representation with so little labeled data and in the absence of concrete tasks? - How are humans so good at problem solving and logical reasoning, and yet also prone to certain fallacies and illusion in cognition & perception? - What do IQ tests actually measure and what light can they shed on AI research? - What roles do intrinsic motivations such as curiosity and emotions play in intelligence? With her expertise in computational neuroscience and cognitive science, as well as her previous experience in computational modeling and collaborations with psychologists, psychiatrists, neuroscientists, computer scientists, and mathematicians, Dr. Yu will strengthen and complement research at the Centre for Cognitive Science at TU Darmstadt and at hessian.AI, the Centre for Artificial Intelligence of Hesse based in Darmstadt. Her group members are encouraged and expected to collaborate extensively with preeminent researchers in cognitive science, AI, neuroscience, and related fields in Darmstadt and nearby research centers (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen, etc.). Positions are available immediately, and will remain open until filled. Salaries are commensurate with experience and expertise, and highly competitive with U.S. and European standards. Written and spoken fluency in English is required. Fluency in German is not. Interested candidates should send to Prof. Yu (angela(a)angelayu.org <mailto:angela@angelayu.org>) a CV, transcript(s), contact info for 2-4 references, as well as a statement of research detailing why the candidate and Prof. Yu’s group are a particularly good fit for each other.

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Information Decomposition Workshop, Dresden, June 5-9, 2023
by Ari Pakman 06 Mar '23

06 Mar '23

Dear colleagues, We are pleased to inform you about our upcoming workshop on partial information decomposition (PID). The workshop will be called Decomposing Multivariate Information in Complex Systems (DeMICS 23) and will take place during June 5th - 9th, 2023 at the Max Planck Institute for the Physics of Complex Systems (MPI PKS) in Dresden. To participate please apply via the application link on the conference website: https://www.pks.mpg.de/demics23 Please forward this to anyone you consider interested in partial information decomposition, especially if you are unable to attend yourself. Please note the approaching application deadline on March 31st. Applications before this date will be considered preferentially. For successful applicants, meals and accommodation will be provided by the MPI PKS, with a small fee of 140 EUR asked for to cover social dinners, excursion and coffee breaks. We look forward to seeing you in Dresden! Kind regards, Conor Finn Ari Pakman Michael Wibral

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Professor / Associate Professor in Biomedical Engineering at the University of Wollongong, Australia
by Manish Sreenivasa 03 Mar '23

03 Mar '23

*Permanent/Continuing, full-time appointment – Further details and application portal <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* The School of Mechanical, Materials, Mechatronic and Biomedical Engineering at UOW, Australia, is committed to research and teaching excellence through its world-class undergraduate and postgraduate programs in a range of exciting areas of technology and sustainability. Lead, guide and coordinate the development of Biomedical Engineering at UOW, in one of the top Engineering faculties in Australia, ranked 6th in Australia and 83rd in the world (THE, World Rankings by Subject 2022). This position will be a discipline lead in the School of Mechanical, Materials, Mechatronic, and Biomedical (MMMB) Engineering, which offers a unique mix of study and research areas embracing sustainable manufacturing, green power, robotics, medical devices and much more. The Biomedical Engineering discipline has been established to focus on research and development of novel medical and diagnostic devices including prosthetics, orthotics, assistive and rehabilitation devices, artificial organs, tools, systems and technology to deliver substantial healthcare benefit and improve the quality of life for individuals. Research expertise based on any of the following sub-fields is preferred: - Bionics and neuroengineering - Brain-computer interfaces or brain-machine interfaces, - Rehabilitation engineering - Biosensing and instrumentation - Tissue/cell biomechanics/ mechanotransduction - Artificial organs and implants - Musculoskeletal modelling - Physiological modelling - Electroceuticals - Prosthetics and orthotics - Orthopaedic Engineering (especially in orthopaedic biomechanics) *See full details of the offer, position details and contact information here. <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…

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HBP Summit Satellite Events Day
by HBP Education 02 Mar '23

02 Mar '23

HBP Summit Satellite Events Day 27 March 2023, 09:00 - 18:30 | Marseille, France Registration is now open and free of charge! The HBP Summit Satellites Events Day is taking place before the HBP Summit offering free trainings on EBRAINS tools and eServices, as well as opportunities to network with experts and peers in a beautiful setting of Palais du Pharo in Marseille. Registration for all participants is free of charge but mandatory. For further information and registration: https://summit2023.humanbrainproject.eu/satellite-events-day/ <https://summit2023.humanbrainproject.eu/satellite-events-day/>

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PhD position in Neurotechnology at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
by Reichenbach, Tobias 02 Mar '23

02 Mar '23

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. You will develop novel methods to measure acoustic emissions from the inner ear (otoacooustic emissions) related to speech, and evaluate these emissions regarding cognitive factors such as selective attention. To this end, you will employ advanced methods of signal processing as well as machine learning. The developed methods can have applications in future diagnostics of hearing impairment as well as in neurofeedback for future hearing aids. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Werner-von-Siemens-Strasse 61 91052 Erlangen https://www.neurotech.tf.fau.eu/

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PhD Position, Moreno Lab, Comp Neuro, Barcelona
by Ruben Moreno Bote 01 Mar '23

01 Mar '23

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind and artificial intelligence. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2023 and January 2024 -- Rubén Moreno Bote Serra Húnter Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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