- Comp-neuro - lists.cnsorg.org

CNeuro2024 summer school in computational neuroscience, Beijing, July 2024
by Rava A. da Silveira Feb. 26, 2024

Feb. 26, 2024

*CN**EURO**2024* *Theoretical and Computational Neuroscience Summer School* *8 to 15 July 2024 — In person in Beijing, China* *This year: “N**EURAL** C**ODING,** L**EARNING,* *AND **D**ECISION **M* *AKING**”* *www.cneuro.net* <http://www.cneuro.net> *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Topic and format* This year’s school will explore various facets of neural coding, learning, and decision making, from circuit neuroscience to cognition to artificial intelligence. The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular ‘Life and Science’ panel series, in which faculty and students can both share their personal experiences and views on research and career. *Faculty* Dmitri (Mitya) Chklovskii (Flatiron Institute) Nathaniel Daw (Princeton University) Pulin Gong (University of Sydney) Vincent Hakim (Ecole Normale Supérieure) Ole Jensen (University of Birmingham) Sukbin Lim (New York University Shanghai) Rubén Moreno Bote (Universitat Pompeu Fabra) Naoshige Uchida (Havard University) Ninglong Xu (Institute of Neuroscience, Shanghai) Tianming Yang (Institute of Neuroscience, Shanghai) Hang Zhang (Peking University) Lusha Zhu (Peking University) *Organizers* Rava Azeredo da Silveira (ENS and IOB) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Information and application guidelines at https://www.cneuro.net/cneuro2024. Applications will be reviewed on a rolling basis. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups.

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Available Ph.D. Position in AI / Cognitive Robotics / Human-Robot Interaction
by Amir Aly Feb. 26, 2024

Feb. 26, 2024

Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on **15th March 2024* *(The difference in tuition fees between national and international students will be waived for international candidates)*. This exciting project aims to create a robot learning framework that integrates the wide linguistic capabilities of *Large Language Models *(LLMs) with robot perceptual information (e.g., visual and/or haptic perception) for language learning covering *word grounding* and bottom-up *sentence formation*, which can make robots develop language and understand human communication across contexts (*more details and research questions are available in the link below*). More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear… <https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear…> PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction at University of Plymouth <https://www.jobs.ac.uk/job/DFL347/phd-studentship-cross-modal-language-lear…> Find a PhD Studentship - Cross-Modal Language Learning with Large Language Models through Human-Robot Interaction on jobs.ac.uk, the top job board in higher education. Click to view more! www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics / AI Consultant Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

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ICMNS24 - registration open
by Avitabile, D. (Daniele) Feb. 25, 2024

Feb. 25, 2024

Dear All, We invite you to visit our website, which has been updated with important information on the conference https://www.danieleavitabile.com/icmns24/ In particular: * We were pleased to receive a large number of excellent contributed talk submissions, and we have extended the conference by half a day, to allow for more talks. The conference will now start on the 11th of June at 13:00, as opposed to the 12th of June. * Submissions are now closed. * Registrations are now open via our website. * On-campus accommodation can be booked during the registration (limited to single en-suite rooms). We also provide a list of hotels near the UCD campus, and with some of them we negotiated a discount for ICMNS participants. * We provide details about our social event. Should you have any questions, do not hesitate to contact us jointly, using the addresses at the end of the present email We look forward to hosting you in Dublin! Daniele Avitabile ?ine Byrne Jonathan Rubin

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M.Sc. & Ph.D. Positions at McGill University
by Majid H. Mohajerani Feb. 24, 2024

Feb. 24, 2024

Title: M.Sc. & Ph.D. Positions at McGill University in Computational Analysis of Behavior and Brain dynamics with Computer Vision/Machine Learning Positions Overview: The Mohajerani lab (https://douglas.research.mcgill.ca/majid-mohajerani/) at McGill University is seeking prospective M.Sc. or Ph.D. to join our lab for Winter 2025 semester. The focus of student’s project will be on analysis of animal behaviour and brain activity using deep learning tools. To be qualified for this position, ideal candidates must have a solid background in computer vision and be familiar with neuroscience. As part of this role, students also must complete coursework for neuroscience program at McGill (www.mcgill.ca/ipn/<http://www.mcgill.ca/ipn/>), a university known for its world-class research and academic excellence, providing them an intellectually stimulating and inspiring environment for their career growth. We are searching for dedicated researchers to join our lab, so if you like tackling challenges, you are welcome to apply! Lastly, the successful candidate must have a collaborative spirit, as this role involves cooperation with multiple institutions and investigators. Deadline: March 31st, 2024 Key qualifications: * Academic Background: M.Sc. or B.Sc. in computer science, computer engineering, neuroscience, or related fields. Solid foundation in machine learning , and knowledge of experimental neuroscience (e.g., optical imaging/ontogenetic, electrophysiology, behavioural assessment) will be a bonus. * Technical Knowledge: Familiarity with deep learning libraries (TensorFlow, PyTorch), and image processing in Python. * Soft Skills: Individuals who are driven by curiosity, practical problem-solvers, and team players. * Passionate About Neuroscience: A genuine interest in computational, and/or behavioural neuroscience and a commitment to contributing to the field. What we offer: * A Focus on Behavioural Neuroscience: Dive deep into research that aims to unravel the complexities of behaviour and brain dynamics through AI. Our projects span various aspects of the field, offering a rich environment for academic and personal growth. * Collaborative Environment: Work alongside leading scientists in a supportive, interdisciplinary team where your ideas and contributions are valued. * Resources: Access to cutting-edge technology and resources to facilitate your research, experimentation, and learning. * Real-World Impact: Engage in projects that aim to translate scientific discoveries into practical applications, making a tangible difference in the field and beyond. * Academic Excellence: As part of McGill University, you’ll be immersed in an environment known for its high standards of research and education. How to Apply: If you’re passionate about machine learning and want to work in a dynamic and exciting environment, please apply with your resume and a cover letter describing your relevant experience and why you’re the right fit for this role. We strive to ensure that our team is diverse, equitable, and inclusive. All qualified applicants, including women and members of visible minority groups, are welcome to apply. If you meet all the requirements, please fill out the following form: https://docs.google.com/forms/d/1TK_TfBSzkqNcR_DYt82HGb0MImX_1mthtegbxbkJtb…

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Postdoc in Computational Neuroimaging at the UVA School of Data Science
by Rasero, Javier (mnr3kn) Feb. 23, 2024

Feb. 23, 2024

Dear colleagues, I am delighted to announce that the School of Data Science at the University of Virginia (USA) is seeking a postdoctoral researcher. This position is dedicated to advancing our understanding of Autism Spectrum Disorder through the evaluation of new biomarkers in neuroimaging data. The School of Data Science, founded in 2019 and the first of its kind in the nation, offers a unique multidisciplinary environment, where candidates can expand their professional network through collaborations with various departments and institutes across UVA, such as Psychology and the Brain Institute. Candidates must possess a terminal degree in computer science, neuroscience, psychology, engineering, physics, mathematics, or related discipline by the start date of the position. Preference will be given to applicants that possess the following: * Established experience in analyzing neuroimaging data (fMRI and/or diffusion MRI) and/or machine/deep learning. * Experience with statistical/scientific programming languages (expertise in Python, Matlab, and/or R preferred). * Topical expertise in statistical and computational approaches (e.g., regression, clustering, signal processing). * Demonstrated ability to complete projects as evidenced by first-author publications. This is a one-year appointment, renewable for an additional year contingent upon funding and satisfactory performance. Link to the job ad and to apply: https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Postdoctor…

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Postdoctoral position in Computational Cognitive Science London (UK)
by Lei Zhang Feb. 23, 2024

Feb. 23, 2024

(apologize for cross-posting) Applications are invited for a Wellcome Trust funded Research Fellow in the Department of Psychology, Royal Holloway, University of London, UK. Please follow this link <https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref=0224-053> to apply by 29-Feb-2024. The position is formally within the SoCCR Lab (Social Computation and Cognitive Representation Lab <https://joebarnby.com/>) directed by Dr. Joseph M Barnby, which develops and tests computational and formal theories of social interaction in health and disorder. The fellow will also be working closely with the three Co-Is: Drs Alex Pike <https://www.york.ac.uk/psychology/staff/academicstaff/pike,-alex/> and Catia Oliveira (University of York) and Dr Lei Zhang <https://www.birmingham.ac.uk/staff/profiles/psychology/zhang-lei> (University of Birmingham). The post holder will be a member of this lab with responsibility for the provision of computational support for a Wellcome Trust-funded project, “Hypatia: Health Modelling Made Simple”. The position offers an exciting opportunity to develop and use state-of-the-art methods to build a free browser-based solution to allow simulation and fitting of common computational models, with the final milestone of 12 months to have a working beta version. The role will primarily involve software engineering/programming the Hypatia site, retaining a core knowledge of computational modelling as it relates to health care, neuroscience, and psychology, and liaising with project consultants to develop the UX/UI, backend support, and aesthetics of the platform. There is significant opportunity for skill development, including gaining experience of industry liaison, translational neuroscience, and computational modelling expertise. The project team will consist of a dedicated postdoctoral researcher and research assistant. The team will also present to and be guided by an advisory board, which includes Prof. Peter Dayan (Tuebingen), Dr Emma Černis (University of Birmingham), Dr Rick Adams (UCL), Prof Eric-Jan Wagenmakers (Amsterdam; JASP team), and Dr Jenny Murphy (Royal Holloway). To Apply: https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref=0224-053 For an informal discussion about the post, please contact the PI Dr. Joseph M Barnby on joseph.barnby(a)rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment(a)rhul.ac.uk --- Dr. Lei Zhang w: lei-zhang.net t: @lei_zhang_lz <https://twitter.com/lei_zhang_lz>

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2 postdoc and 3 PhD positions available at Sussex
by Anil Seth Feb. 23, 2024

Feb. 23, 2024

Positions available! Do you have a strong background in cognitive and computational neuroscience and a desire to contribute to the cutting edge of consciousness research? Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS; https://www.sussex.ac.uk/research/ccs/) The SCCS is a University of Sussex Centre of Excellence and an internationally prominent group in consciousness science. The positions are supported by an ERC Advanced Investigator Grant (project CONSCIOUS; 2 postdocs and 2 PhDs) and by the SCCS, via the School of Informatics and Engineering (1 PhD). The postdoc positions funded for 2 years with possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded (for both UK and overseas candidates) for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are all within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending our unique Perception Census project (https://perceptioncensus.dreamachine.world/) The SCCS PhD is flexible in terms of project focus and supervisor; here, we invite PhD proposals that have a computational/informatics element. Apply by April 03 for the postdoc positions, and by April 13 for the PhD positions. Further details, including how to apply, are here: https://www.sussex.ac.uk/research/centres/sussex-centre-for-consciousness-s… ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Director, Sussex Centre for Consciousness Science, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth [Being You Pb Digital Assets v1 Email copy.png]

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WashU CTCN Postdoc Fellows
by Goodhill, Geoffrey Feb. 23, 2024

Feb. 23, 2024

The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs at WashU. Deadline for applications is April 30th. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details on this prestigious Fellowship opportunity, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows 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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4 positions in neuromorphic computing at the University of Lille, France
by Pierre Boulet Feb. 22, 2024

Feb. 22, 2024

Dear colleagues, The university of Lille has open several positions in neuromorphic computing at the CRIStAL lab. We are hiring 1 associate professor, 2 PhD students and 1 postdoc. All these positions are fully funded. Please see https://www.hipeac.net/jobs/#/?q=cristal for detailed information and do not hesitate to contact me if you are interested. Best regards, Pierre. -- // Pierre Boulet /Vice-président numérique,/ Professeur d'informatique, Faculté des Sciences et Technologies, CRIStAL - UMR 9189, Président de l'association VP-Num. Pierre.Boulet(a)univ-lille.fr <mailto:prenom.nom@univ-lille.fr> /// pro.univ-lille.fr/pierre-boulet <https://pro.univ-lille.fr/pierre-boulet> Siège : 42 rue Paul Duez, 59000 Lille IRCICA : 50 avenue Halley - Bureau 103, 59658 Villeneuve d’Ascq cedex T.+33 (0)6 09 08 18 11

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Methods in Computational Neuroscience course (CORRECT LINK)
by Stefano Fusi Feb. 22, 2024

Feb. 22, 2024

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 24 to August 20, 2024. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… *The new course application deadline is *March 6*.* 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. *2024 Course Directors:* Roozbeh Kiani (NYU), Stefano Fusi (Columbia) *2024 Faculty:* Adrienne Fairhall (U. of Washington) André Fenton (NYU) Anne Churchland (UCLA) Bard Ermentrout (U. of Pittsburgh) Byron Yu (Carnegie Mellon U.) Claudia Clopath (Imperial College) Eve Marder (Brandeis U.) Haim Sompolinsky (Harvard U.) Ila Fiete (MIT) James Firtzerald (Janelia Res. HHMI) John Murray (Dartmouth) Kim Stachenfeld (DeepMind+Columbia U.) Larry Abbott (Columbia U.) Loren Frank (UCSF) Marcelo Mattar (NYU) Mark Goldman (UC Davis) Nao Uchida (Harvard U.) Nelson Spruston (Janelia Res. HHMI) Reza Shadmehr (Johns Hopkins U.) Roozbeh Kiani (NYU) Sara Solla (Northwestern U.) Scott Linderman (Stanford U.) Srdjan Ostojic (ENS – PSL) Stefano Fusi (Columbia U.) Steve Baccus (Stanford U.) SueYeon Chung (Flatiron I.+NYU) Surya Ganguli (Stanford U.) Xiao-Jing Wang (NYU)

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