October 2024 - Comp-neuro - lists.cnsorg.org

2-year postdoc at Neurospin/INM, Paris: Deep phenotyping of learning and decision-making 7T MRI, MEG & computational modeling
by Alexander Paunov 15 Oct '24

15 Oct '24

2-YEAR POSTDOCTORAL POSITION AVAILABLE AT NEUROSPIN/INM (PARIS, FRANCE) https://florentmeyniel.weebly.com/uploads/5/9/7/2/59727215/ad_recruitment_p… Project Deep phenotyping of learning and decision-making 7T MRI, MEG & computational modeling Supervisor and contact Dr Florent MEYNIEL https://www.unicog.org/lab/the-computational-brain/ Duration and Dates * Initial duration: two years * Extension possible * Full-time post * Preferred starting date: January 2025 Project description Learning and decision making are intertwined processes in many everyday situations. One example is when you decide where to have lunch: should you go to the nearby coffee shop or to the university cafeteria? Learning depends on choice, because you can learn which option you prefer by trying each option repeatedly, and decision making depends on learning, because you eventually want to select the option you have learned you like best. Uncertainty plays a key role in both learning1–4 and decision making5, especially when the environment is not stationary (e.g., a new brand now runs the nearby coffee shop and you like it less). In the CEA-funded EXPLORE+ collaborative project, we are interested in characterizing the neural representation of uncertainty6–8 and value that emerge from learning and guide decisions. Our approach follows a deep phenotyping approach, attempting to characterize each subject with a large multimodal dataset. We collected data from 16 participants who participated in one behavioral session, two 7T fMRI sessions, and two MEG sessions. The large number of trials allows us to estimate and test different computational models of the decision and learning processes. The 7T MRI and MEG data provide access to the topographical organization of neural representations and their dynamics, respectively, to better understand learning and decision making. One postdoc is currently working on the fMRI data, and we are looking for another postdoc for the MEG dataset. Both postdocs will work together to perform analyses informed by both modalities. The EXPLORE+ project will continue with another previously funded project called BrainSync, which will collect data from 11.7 fMRI and intracranial recordings using the same task, providing an opportunity to extend the current work. Profile Ph.D. in neuroscience, machine learning or psychology, with good programming skills (ideally Python). Previous experience with ideally MEG, EEG or alternatively fMRI, computational modeling. You will be responsible for data analysis (mainly MEG, also fMRI-MEG in collaboration with Alexander Paunov, postdoc working on the fMRI part) and dissemination of results in internal seminars, international conferences and journal articles. The working language of the lab is English. French is not required. Workplace and environment Dr Florent MEYNIEL leads the Computational Brain team (more info here), which is located in two places. * Institute of NeuroModulation (INM), Sainte Anne Hospital, Paris, France. The INM is part of the GHU Paris, Psychiatry & Neurosciences. The INM combines clinical activities and innovative clinical research in psychiatry with basic research in computational neuroscience. Team members spend most of their days here. * NeuroSpin, Paris-Saclay Campus, France. NeuroSpin is part of the CEA (Commissariat à l'Energie Atomique). Directed by Prof. Stanislas DEHAENE, NeuroSpin is a world-class brain imaging center equipped with a MEG system (Elekta, Neuromag) and several human MRI scanners (3T Prisma, 7T and 11.7T), all for research purposes only. The community at NeuroSpin is very stimulating, combining MRI physicists, machine learning experts, and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in the Cognitive NeuroImaging Unit. Application procedure Please send an email to Florent Meyniel (florent.meyniel(a)cea.fr) and Alexander Paunov (alexander.paunov(a)gmail.com) * Your CV * a research statement (what you like and want to do) * the contact details of two referees Applications will be considered on a rolling basis (positions will remain open until filled). Salary According to CEA standards. According to experience. References 1. Meyniel, F., Schlunegger, D. & Dehaene, S. The Sense of Confidence during Probabilistic Learning: A Normative Account. PLoS Comput Biol 11, e1004305 (2015). 2. Meyniel, F., Sigman, M. & Mainen, Z. F. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron 88, 78–92 (2015). 3. Foucault, C. & Meyniel, F. Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities. Open Mind 8, 615–638 (2024). 4. Meyniel, F. Brain dynamics for confidence-weighted learning. PLOS Comput. Biol. 16, e1007935 (2020). 5. Paunov, A. et al. Multiple and subject-specific roles of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat. Neurosci. 1–11 (2023) doi:10.1038/s41593-023-01444-y. 7. Bounmy, T., Eger, E. & Meyniel, F. A characterization of the neural representation of confidence during probabilistic learning. NeuroImage 268, 119849 (2023). 8. Meyniel, F. & Dehaene, S. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc. Natl. Acad. Sci. 201615773 (2017) doi:10.1073/pnas.1615773114.

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Call for Workshop Proposals on Complex Systems at FRCCS 2025
by Hocine Cherifi 15 Oct '24

15 Oct '24

The organizing committee of *Fr*ance’s International *C*onference on *C* omplex *S*ystems (FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>) invites proposals for full- or half-day workshops on current or emerging topics in Complex Systems. Workshops provide an interactive platform for in-depth exploration of novel issues or application domains, fostering collaboration across disciplines. We especially welcome multidisciplinary workshops that engage both researchers and practitioners. *Workshop Date:* May 21-23, 2025 *Proposal Deadline:* January 12, 2024 *Workshop Format & Duration* We encourage diverse formats beyond traditional paper presentations, including: - *Discussions*, *demos*, *panels*, and *challenge sessions*. - *Full-day workshops*: 7 hours, including two 30-minute breaks. - *Half-day workshops*: 4 hours, including one 30-minute break. *Organizer Responsibilities* Workshop organizers are responsible for managing their sessions independently, which includes drafting and disseminating the Call for Papers (CFP) for their workshops, reviewing submitted papers, and coordinating with participants. *Proposal Guidelines (2-4 pages in PDF)* Proposals should include the following details: 1. *Title* 2. *Overview*: Key issues, relevance, and associated research areas. 3. *Organizers*: Names, affiliations, and contact information (with one primary contact). 4. *Workshop Format*: Planned structure (talks, panels, etc.). 5. *Duration*: Half-day or full-day. 6. *Call for Submissions* (optional draft). 7. *Expected Submissions and Participants* 8. *Speakers*: Confirmed or pre-contacted (if applicable). 9. *Logistics Needs* (e.g., poster stands, AV equipment). *Incentives* Workshops with more than ten registered contributions will receive a waived registration fee for one organizer or invited speaker. *Important Dates* - *Proposal Submission Deadline* : January 12, 2024 - *Acceptance Notification* : January 26, 2024 - *Workshop Paper Submission Deadline*: March 20, 2024 - *Author Notification* : April 17, 2024 *Submission Link* Submit your proposal via: https://cmt3.research.microsoft.com/FRCCS2025/. Choose the "Workshop Proposal" track. *Publication* Workshop contributions will be included in the FRCCS 2025 conference companion book (with ISBN). Selected submissions may be invited for publication in partner journals. *Why Organize a Workshop?* By organizing a workshop, you will: - Shape discussions on cutting-edge topics in Complex Systems. - Build networks with leading researchers and practitioners. - Promote interdisciplinary collaboration and share your expertise with an engaged audience. *We look forward to receiving your innovative and exciting workshop proposals!* For more details, visit: https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/ Or contact the workshop chair Maria Malek maria.malek(a)cyu.fr Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Brains in Space - A virtual colloquium on spatial navigation
by Vinita Samarasinghe 15 Oct '24

15 Oct '24

On behalf of Sen Cheng, Sandhiya Vijayabaskaran and Laurenz Wiskott from the Institute of Neural Computation, Faculty for Computer Science, Ruhr University Bochum, I invite you to attend a colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation. The colloquium takes place virtually on Tuesday's from 16:00 to 17:30 (CET) and the complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . The first talk is on October 29th 2024.* * *Confirmed speakers include:* Arne Ekstrom, Klaus Gramann, Michael Hornberger, Russell Epstein, Ed Manley and Behnam Ghazinouri. This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. Zoom link: https://ruhr-uni-bochum.zoom-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARX… [Meeting ID: 678 3936 4827; Passcode: 841644] October 29th: *Klaus Gramann* - TU Berlin *Title:* Mobile Brain/Body Imaging in Actively Navigating Humans *Abstract:* The human brain is embodied, intertwined with our physical form, leveraging this embodiment to enhance perception in complex and dynamically changing environments. Traditional brain imaging techniques have largely ignored these aspects of embodied cognition. However, recent years have witnessed a significant paradigm shift, with established brain imaging technologies being employed outside conventional experimental frameworks to record brain dynamics in actively behaving individuals. This evolution in research methodologies introduces new challenges in both hardware and analytical approaches but allows for unprecedented insights into human brain activity underlying natural cognition. In this presentation, I will provide an overview of research in the Berlin Mobile Brain/Body Imaging Labs that focus on the neural dynamics underlying human navigation using mobile EEG technologies. Utilizing Mobile Brain/Body Imaging (MoBI), I will present findings from experiments that examine multisensory integration during navigation, both within classical laboratory protocols and in scenarios that permit full-body movement in virtual and real-world settings. The results reveal substantial changes in brain dynamics in actively behaving participants compared to traditional brain imaging configurations, highlighting important implications for future research directions. We look forward to seeing you. Kind regards, Vinita -- Vinita Samarasinghe Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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Faculty position in Mathematical Biology
by Alla R Borisyuk 14 Oct '24

14 Oct '24

The Department of Mathematics at the University of Utah has an OPEN RANK FACULTY POSITION search in Mathematical Biology (including Computational Neuroscience). Please help us spread the word by forwarding this announcement to anyone who might be interested. For the official job announcement please see www.mathjobs.org/jobs/UofUtah/TTMATHBIO and please let us know if you have any questions. Alla Borisyuk Professor Department of Mathematics University of Utah

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Creating an inclusive and anti-racist academia – Online Panel Discussion and Q&A – 28th October, 1pm GMT / 2pm CET
by Sidarus, Nura 14 Oct '24

14 Oct '24

Creating an inclusive and anti-racist academia Online Panel Discussion with Q&A Monday, October 28 1-2pm GMT / 2-3pm CET Details & registration: https://www.eventbrite.com/e/1027101356807 Despite ongoing efforts to promote anti-racism and equity, diversity, and inclusion (EDI), systemic inequalities persist and academic work often remains limited to Western perspectives, neglecting the rich diversity of global knowledge systems. Women in Cognitive Science-Europe<https://www.womenincogsci.org/wics-europe> is organising this discussion on occasion of the United Kingdom’s Black History Month, making time to recognise the contribution of Black scholars and thought, and foster conversations that challenge the cultural narratives and practices that marginalise people of colour. We believe we all need to work together to fight against all types of discrimination and marginalisation. Panelists will provide evidence and showcase ongoing initiatives to promote a more inclusive and anti-racist academia. Attendees will gain insights into these issues and be inspired to take action in their own contexts. Panelists: * Prof. Felix Ameka, Leiden University, The Netherlands * Prof. Narender Ramnani, Royal Holloway, University of London, UK * Dr. Nura Sidarus, Royal Holloway, University of London, UK Join us and help us spread the word about this event. Everyone is welcome! Details & registration: https://www.eventbrite.com/e/1027101356807 __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Chair of Equity, Diversity & Inclusion Team Department of Psychology | Office: Wolfson 248 Royal Holloway University of London | Egham | TW20 0EX Affiliate Member | Institute of Cognitive Neuroscience, UCL Computations in Agency and Metacognition Lab<https://www.compagencymeta.com/> nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | Personal Website<http://www.nurasidarus.com/> __________________________________________________________ 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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Apply to the Bertalanffy Doctoral Student Award @ FRCCS 2025
by Hocine Cherifi 14 Oct '24

14 Oct '24

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists of presenting your research in simple terms in a five-minute video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at France's International Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> ( FRCCS 2025) <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project - Individuals may only be candidates for this award once in their lifetime. *Important dates* · Application deadline: *March 11, 2025* · Notification to applicants: *April 02, 2025* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5-minute video presentation. *Application Process* Applications are made via a Google form on the online portal. <https://forms.gle/CEGYgJFV8MoiSQS36> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* · The awardee will be recognized and present their work at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>. · The awardee will receive a 500-euro prize. · If the awardee is not an author at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>, the prize will include an additional coverage of their registration fee. · If the awardee has an accepted submission to FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>,, they need to pay the registration fee for their contribution. For more information, contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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CFP FRCCS 2025 Bordeaux, France May 21 – 23, 2025
by Hocine Cherifi 14 Oct '24

14 Oct '24

Fifth France’s International* C*onference on* C*omplex* S*ystems May 21 – 23, 2025 Bordeaux, France *FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The fifth edition of France’s International Conference on Complex Systems (FRCCS 2025) will be held in Bordeaux, France. This single-track international conference serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2025 allows participants to meet yearly in France, exchange and promote ideas, and facilitate the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. You are cordially invited to submit your contribution by *February 21, 2025.* Finalized work (published or unpublished) and work in progress are welcome. Three types of contributions are accepted: · *Long Papers* about *original research* (up to 12 pages) · *Short Papers *about* original research* (up to 8 pages) · *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* · Elsa Arcaute, <https://www.ucl.ac.uk/bartlett/casa> University College London, UK · Ulrik Brandes <https://sn.ethz.ch/> ETH Zürich Switzerland · Mikko Kivelä, <http://www.mkivela.com/> Aalto University, Finland · Caterina La Porta, <https://www.oncolab.unimi.it/about-caterina/> University of Milan, Italy · *More TBA…* *Publication* o *Papers *will be included in the conference *proceedings edited by Springer* o *Extended abstracts* will be included in the book of abstracts (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Frontiers in Big Data <https://www.frontiersin.org/journals/big-data> edited by Frontiers *Submission * · Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2025/ <https://cmt3.research.microsoft.com/FRCCS2025/> · *Select the Track: FRCCS2025* *Topics include, but are not limited to: * · *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory - *Machine learning and AI in the context of Complex Systems* *GENERAL CHAIRS* Jean Loup Guillaume La Rochelle University, France Bruno Pinaud University of Bordeaux, France *PROGRAM CHAIRS* Hocine Cherifi University of Burgundy, France Guy Melançon University of Bordeaux, France Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Faculty position in Theoretical/Computational Neuroscience
by Goodhill, Geoffrey 12 Oct '24

12 Oct '24

The Department of Neuroscience at Washington University School of Medicine is seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a demonstrated commitment to neuroscience and a strong background in mathematics, physics, engineering, computer science, or a related field and hold a PhD. Areas of interest include (but are not limited to) research on fundamental molecular/cellular/circuit/systems mechanisms of brain architecture/development/function, machine learning methods for neuroscientific data, neuro-AI, and computational cognition/behavior/psychiatry. We seek talented, creative, and ambitious candidates from the entire span of computational neuroscience, and we are especially interested in candidates interested in building collaborations with experimental groups. The successful candidate will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch(a)wustl.edu c/o Professor Timothy E. Holy, Vice Chair for Research, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 4, 2024. Washington University is an Equal Opportunity Employer, and broadening opportunity is core mission of the institution. Our department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. For more information about the Department, Washington University, and life in St. Louis, visit: https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Cluster Hiring of UT System Research Excellence Regents' Professorships at UTSA
by Dhireesha Kudithipudi 11 Oct '24

11 Oct '24

The University of Texas at San Antonio (UTSA), MATRIX AI Consortium, invites applications for the position of Full Professor / Associate Professor, to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic Clustered & Connected Hiring Program (CCP) <https://www.utsa.edu/strategicplan/initiatives/research/strategic-hiring/cc…> focused on Artificial Intelligence, with an anticipated start date in the Fall of the 2025-26 academic year. The University of Texas System recently approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including UTSA. UT System has allocated $55 million across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The 5 positions open are in areas: 1. *Trustworthy AI/ML Algorithms (eg: neuro-inspired algorithms)* 2. *Neuromorphic AI Accelerators/Chips* 3. *Human-Centered AI* 4. *AI Ethics* 5. *Quantum Encryption for AI Confidentiality* The Regents Professors will be core members of the MATRIX Consortium, which is a central hub for 87 AI scientists, facilitating transdisciplinary research, fostering high-impact collaborations, and offering thought leadership and domain expertise to address the most challenging and complex problems in AI. Areas of interest include Trustworthy AI/ML Algorithms, Neuromorphic AI Accelerators, Human-centered AI, AI Ethics, all of which advance the research thrusts in the MATRIX. MATRIX strives for scientific excellence in developing holistic solutions for human well-being. The team has a successful track record in securing large collaborative grants that generated multiple centers, such as the NSF AI Partner Institute, two NSF EFRI BRAIDs, AFOSR COE in neuro-inspired AI, along with large collaborative projects in AI for healthcare. Apply here: https://zahr-prd-candidate-ada.utshare.utsystem.edu/psc/ZAHRPRDADA/EMPLOYEE… Best Regards, Dhireesha Kudithipudi Founding Director| MATRIX <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.utsa.e…> AI Consortium & NUAI <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nuail…> Research Lab Professor| McDermott Endowed Chair| ECE/CS| UTSA

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Postdoc positions at U Oregon
by James Murray 11 Oct '24

11 Oct '24

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/28843. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

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