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Postdoctoral Position in modelling the impact of interoceptive signals on neural dynamics and human cognition. ENS Paris
by Boris 30 Nov '23

30 Nov '23

Postdoctoral Position in modelling the impact of interoceptive signals on neural dynamics and human cognition. Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris. A post-doctoral position in theoretical neuroscience is open to explore the impact of cardiac inputs on cortical dynamics. Understanding the role of internal states in human cognition has become a hot topic, with a wealth of experimental results but limited attempts at analyzing the computations that underlie the link between bodily organs and brain. Our particular focus is on elucidating how the different mechanisms for heart-to-cortex coupling (e.g., phase-resetting, gating, phasic arousal,..) can account for human behavioral and neural data, from somatosensory detection to more high-level concepts such as self-relevance, using data-based dynamical models. The ideal candidate should have a doctoral degree in a quantitative discipline and previous experience with computational approaches to neural functions, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences on neural dynamics and cognition. The candidate will have a unique opportunity to join the project at its very inception and take a key role in the technical and conceptual development. The position is available for 3 years. The postdoctoral fellow will be based at the Group for Neural Theory <https://gnt.dec.ens.fr/en> and LNC2 <https://lnc2.dec.ens.fr/en> , in Boris Gutkin’s team <https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits> with strong interactions with Catherine Tallon-Baudry’s team. LNC2 is located in the center of Paris within the Cognitive Science Department <https://cognition.ens.fr/en> at Ecole Normale Supérieure <https://www.ens.psl.eu/en>, with numerous opportunities to interact with the Paris scientific community at large, in a stimulating and supportive work environment. Group for Neural Theory provides a rich environment and local community for theoretical neuroscience. Lab life is in English, speaking French is not a requirement. Salary according to experience and French regulations with health and social benefits. Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent boris.gutkin(a)gmail.com <mailto:boris.gutkin@gmail.com> and catherine.tallon-baudry(a)ens.psl.eu <mailto:catherine.tallon-baudry@ens.psl.eu>. Applications will be evaluated on the fly, the position remaining open until filled.

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Fully-funded PhD in machine learning for medical imaging (Indiana University, US)
by chigurupatisreekar＠gmail.com 28 Nov '23

28 Nov '23

The Garyfallidis Research Group (grg.luddy.indiana.edu) at the Luddy School of Informatics, Computing, and Engineering has open PhD positions on the topic of artificial general intelligence for medical applications. The appointment starts Fall 2024. The PhD student will join a dynamic and interdisciplinary team that includes engineers, neuroscientists, and cognitive scientists. The PhD applicants will work with Prof. Eleftherios Garyfallidis on various areas of research, including machine learning, medical imaging and/or scientific visualization. Prof. Garyfallidis' team collaborates with more than 300 research labs across the US. His research group is also the headquarters for the DIPY and FURY organizations deploying research software in thousands of labs across the globe. Minimum Qualifications: A BSc (or equivalent) is required in engineering, computer science, statistics, physics, mathematics or neuroscience or related fields; and solid programming skills necessary to handle big data and develop large scale simulations. Knowledge of Python and C is a plus. Knowledge of graphic shaders is a bonus. Previous experience in open-source development is not required but good to have. Questions and CV should be sent to elef(a)indiana.edu. Interviews will take place after officially applying here https://graduate.indiana.edu/admissions/apply.html#/login The specific track is Neuroengineering. Note that the deadline for Fall 2024 is December 15 2023. Indiana University is an R01 (research level 1) university with multiple campuses. We are situated on the Bloomington campus that has over 50K students. The GRG is part of a new engineering department that focuses entirely on building intelligent systems. Students receive a fellowship (working as research assistants or teaching assistants) for the first 4 years of the PhD program. The students are encouraged to get internships in industry during the summer months (optional). This fellowship package guarantees recipients a full stipend, fee remission, and student health insurance during a 4 year period as you work towards the Ph.D. degree. Lab: https://grg.luddy.indiana.edu Twitter: https://twitter.com/dipymri

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Two postdoc openings on computational analysis and modelling of dynamic functional connectivity in Alzheimer's Disease (Strasbourg, FunSy team, France)
by Demian Battaglia 27 Nov '23

27 Nov '23

We are happy to announce two postdoc openings in the group of Dr. Demian Battaglia, within the newly created Functional System Dynamics team at University of Strasbourg. The recruited postdocs will work as well in close collaboration with Dr. Romain Goutagny in Strasbourg and Dr. Viktor Jirsa at the Institute for Systems Neuroscience in Marseille. Both positions will focus on investigating the link between dynamics of large-scale functional connectivity and cognition: first, by assessing that the maintenance of a structured and fluid dynamics of Functional Connectivity is a predictor of cognitive performance and of its resilience despite progressing neurodegeneration; second by showing that interventions aiming at restoring "healthy" brain dynamics can rescue cognitive performance. POSITION START: as early as possible (ideally, before April 2024) POSTDOC DURATION: 24 months - TWO POSITIONS AVAILABLE Specifically the first position will delve with the study of dynamic Functional Connectivity variations and their correlation with variations of cognitive performance in longitudinal studies of aging and Alzheimer's disease cohorts (human resting state fMRI, physiological markers, cognitive profiling...). The second position will delve with the characterization of the effects of non-invasive visual gamma flickering stimulation (vGENUS) on electrophysiological activity in AD mutant mice and the modelling of the mechanisms behind these effects via virtual mouse mean-field whole-brain simulations. We are seeking for candidates, with previous experience in computational neuroscience or computer science, physics or mathematics training with strong motivation to transit toward neuroscience. Previous experience with whole-brain modelling or dynamic functional connectivity analyses would be a plus, although not strictly required. Interested candidates could have hybrid data analysis/computational modelling projects. We expect fluent programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness (more than applying existing methods, we tend to forge original ones, shaped by the specific scientific questions we work on). The candidate will integrate the Functional System Dynamics team (FunSy, https://funsyteam.org) at University of Strasbourg, which is a mixed theoretical and experimental group focusing on the functional roles of multi-scale system's level dynamics. FunSy research aims at linking dynamics to information processing, behavior and cognition in the healthy and pathological brain, exploring projects in rodent, non-human primate or human neuroscience as well as pure theory. The present postdoc openings are funded by the Foundation "Vaincre Alzheimer" and the French National Priority Research Investment Program "PEPR Digital Health". Strict interactions are to be expected with other partners in this initiative ("Brain Health Trajectories"), with frequent visits at Viktor Jirsa's lab at Aix-Marseille University, or other researchers at Neurospin in Saclay (Paris South) or Grenoble. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational computational neuroscience centers. Strasbourg, one of European Union's capitals, is a fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris) DEADLINE FOR APPLICATION: December 24th 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically to Dr. Demian Battaglia. In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We wish to promote the recruitment of strong candidates from minority groups in STEM research. Feel free to inquire for additional requests of information. CONTACT: Demian Battaglia (dbattaglia(a)unistra.fr or demian.battaglia(a)univ-amu.fr)

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PhD student at Instituto de Neurociencias Alicante
by Encarni Marcos Sanmartin 27 Nov '23

27 Nov '23

*A fully funded PhD (4 years) is available at Instituto de Neurociencias Alicante. * The student will be part of a project called BODIES that aims at understanding the neuronal mechanisms underlying the integration of action and perception during decision making. To achieve the goal of BODIES, experiments will be performed in mice. Neuronal activity will be recorded from a prefrontal network while animals perform a navigational task in virtual reality. Further, the activity of neurons of specific populations within this network will be manipulated through optogenetics, to investigate their causal contribution to behavior. During the project, a computational model will be developed to understand and describe the observed dynamics and to make further predictions for future experiments. Technical support is provided throughout the duration of the project. The PhD student will be enrolled in the PhD program in Neuroscience of the Universidad Miguel Hernández de Elche, under the supervision of Dr. Encarni Marcos. *The call will open this week and close shortly after:* https://otri.umh.es/2023/11/15/ayudas-para-la-formacion-de-personal-investi… The selected candidate will join the PhD program and the lab by the beginning of next year. If you are interested in this position, please, write to emarcos(a)umh.es Candidates must - Have a master’s degree in Neuroscience, physics, computer science, mathematics, psychology or related areas. - Be able to work independently. - Have programming skills. - Have excellent communication skills in English. - Work well in team. The Instituto de Neurociencias Alicante is a center of excellence that regularly organizes training courses for PhD students that are free of charge, weekly scientific lectures with well-known international speakers and internal seminars to promote collaboration within the Institute and offers financial support to assist national and international conferences for PhD students. The Institute is located in Sant Joan d'Alacant, a nice town near the beach and close to Alicante. Please feel free to get in touch with me if you have any questions. Dr Encarni Marcos Instituto de Neurociencias Alicante Sant Joan d’Alacant, Spain E-mail: emarcos(a)umh.es

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Three Faculty Positions in AI in Biology at VIB and KU Leuven
by pedro goncalves 27 Nov '23

27 Nov '23

Dear all, The VIB Center for AI & Computational Biology (VIB.AI) and KU Leuven are searching for three Principal Investigators to join their faculty (Group Leader at VIB, Professor at KU Leuven). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. We welcome applications across all domains of machine learning, artificial intelligence, and associated fields. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications are broad: microorganisms, plant biology, biodiversity and ecology, neuroscience, cancer, and immunology. We also welcome applicants with applied projects, including synthetic biology, AI-driven experiments (experiment-in-the-loop), and bio-engineering. This position comes with full salary and core funding (internationally competitive package) that is renewable for multiple additional 5-year periods, and access to state-of-the-art research and top-notch support core facilities, as well as support to attract talented PhD students and postdocs from across the world. More details about the positions at https://vibai.sites.vib.be/en/opportunities#/job-description/66534 Best wishes, Pedro --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven Co-affiliated PI at VIB Center for AI & Computational Biology https://goncalveslab.sites.vib.be/en

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Call for Papers - From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024)
by Jeffrey L Krichmar 26 Nov '23

26 Nov '23

Dear Comp-Neuro colleagues, CALL FOR PAPERS - SAB 2024 ------------------------------------------- The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in “From Animals to Animats 17. SAB 2024.” Lecture Notes in Artificial Intelligence, Springer Nature. Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Important Dates ---------------------- April 1, 2024: Deadline for paper submission April 15, 2024: Deadline for Workshop and tutorial proposals June15, 2024: Notice of acceptance June 30, 2024: Camera-ready papers September 9-12: Conference dates More details can be found at: https://sab2024.socsci.uci.edu/call-for-papers Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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looking for a postdoc on modeling / optimization of brain stimulation
by Dana Brooks 26 Nov '23

26 Nov '23

Postdoctoral Research Fellow at UMass Boston A postdoctoral fellow position is available in the Brain Stimulation & Simulation Lab <https://www1.coe.neu.edu/%7Erampersad/index.html>, directed by Dr. Sumientra Rampersad, in the Department of Physics at the University of Massachusetts Boston. Our lab focuses on investigating electromagnetic brain stimulation through computational methods and experiments with healthy volunteers. This position is funded by a newly awarded 5-year NIH R01 <https://reporter.nih.gov/project-details/10719222> grant with the goal to investigate a novel form of brain stimulation called transcranial temporal interference stimulation (TIS) and to optimize and translate it into an effective and efficient neuromodulation method for academic research and clinical practice. The fellow will develop novel optimization methods for high-density TIS and supervise a PhD student who will conduct simulations and optimizations using finite element modeling. The goal is to provide noninvasive and spatially specific treatment options to patients with brain disorders resistant to existing approaches. You will join a multidisciplinary team with expertise in computational modeling and optimization, human and primate electrophysiology, cellular and systems neuroscience, and biomedical engineering. You will also have the opportunity to work on other cutting-edge projects involving several brain stimulation methods including tCS, TMS, ECoG, sEEG and TTF (see lab website <https://www1.coe.neu.edu/%7Erampersad/index.html> for examples). Our collaborators at Northeastern University, the University of Utah, Harvard University, MGH, and the University of Washington, provide us access to specialized software and unique clinical data. The fellow will be mentored by Dr. Rampersad (UMass Boston) and Dr. Dana Brooks (Northeastern). This is an outstanding career development opportunity to work with leaders in the field of brain stimulation with an exceptional record of collaboration and mentoring. Required qualifications include a PhD in physics, math, electrical, biomedical engineering, or equivalent, expertise in either brain stimulation modeling or computational optimization methods (preferred both), a track record of conference presentations and peer-reviewed publications, strong verbal and written communication skills, and proficiency in Matlab or Python. This is a one-year appointment with the possibility of extension provided satisfactory progress is made. To apply, send a cover letter and CV to Dr. Rampersad (sumientra.rampersad(a)umb.edu) with the subject “TIS postdoc”. Please describe in detail your experience with optimization, brain stimulation, FEM, coding, project management, and mentoring students.

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Postdoc position to model the sensorimotor system controlling forelimbs in mice
by Alexander Mathis 25 Nov '23

25 Nov '23

The Mathis^2 and Arber labs seek applicants for a postdoctoral fellow in computational neuroscience The Arber Laboratory at the University of Basel (Research Group Silvia Arber - Biozentrum<https://www.biozentrum.unibas.ch/research/research-groups/research-groups-a…>), Mathis Group of Computational Neuroscience & AI (https://mathisgroup.org<https://mathisgroup.org/>) and Mathis Laboratory of Adaptive Motor Control (https://mackenziemathislab.org<https://mackenziemathislab.org/>) at EPFL (Geneva, Switzerland) offer a postdoc position with the goal to model the sensorimotor system controlling forelimb movements in mice. We aim to build hierarchical models of the sensorimotor system controlling mouse forelimbs based on a variety of datasets including anatomy, connectivity, high content neuronal recordings, biomechanics, behavior tracking, functional interventions, genetic/molecular and cell type information based on spatial transcriptomics. EPFL<https://www.epfl.ch/de/> is one of the leading Institutes of Technology in Europe, and Biozentrum<https://www.biozentrum.unibas.ch/> the home of Molecular Life Science embedded in the Basel Circuits Neuroscience community<https://www.basel-neurocircuits.ch/>. Both offer competitive salaries and research infrastructure, together allowing to approach this challenging research project. Requirements: Candidates should have a Ph.D. with a strong publication record in computational neuroscience or related fields, and be eager to interact with experimentalists. An ideal candidate would have prior experience in: ● Machine learning ● Modeling neural data ● Handling of large and diverse datasets ● Biomechanics ● Fluency in oral and written English is required. Deadline and starting date: Applications are requested starting from December 1st 2023 and will then be processed as they arrive until the position is filled. The ideal starting date is spring 2024. How to apply: Postdoctoral applications should consist of a motivation letter, a CV, two relevant publications, and the email addresses of two or more referees. Please submit your application to the EPFL hiring platform: https://recruiting.epfl.ch/Vacancies/3178/Description/2 Related Work: A functional map for diverse forelimb actions within brainstem circuitry.<https://www.nature.com/articles/s41586-020-03080-z> Ludwig Ruder, Riccardo Schina, Hash Kanodia, Sara Valencia-Garcia, Chiara Pivetta and Silvia Arber, Nature, 2021 Structural and functional map for forelimb movement phases between cortex and medulla <https://www.cell.com/cell/pdf/S0092-8674(22)01522-7.pdf>Wuzhou Yang, Harsh Kanodia and Silvia Arber, Cell, 2023 Learnable latent embeddings for joint behavioural and neural analysis<https://www.nature.com/articles/s41586-023-06031-6> Steffen Schneider*, Jin Hwa Lee*, and Mackenzie Weygandt Mathis, Nature, 2023 DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body<https://arxiv.org/abs/2209.14218> Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis. NeurIPS, 2022. Contrasting action and posture coding with hierarchical deep neural network models of proprioception <https://www.biorxiv.org/content/10.1101/2020.05.06.081372v3> Kai J. Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis**, Alexander Mathis**, eLife, 2023 Please do not hesitate to reach out, if you have any questions! If you want to do a PhD on this topic, also feel free to reach out. Best wishes, Alexander Mathis P.S.: We also have an open software engineer position. We started interviewing, but are inviting further top candidates to apply: https://recruiting.epfl.ch/Vacancies/3124/Description/2 [cid:clip_image001.png] Alexander Mathis Tenure Track Assistant Professor people/alexander.mathis mathislab.org<http://mathislab.org>

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Save the Dates: ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: March 23
by Giuseppe Nicosia 23 Nov '23

23 Nov '23

Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by Saturday March 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by Wednesday July 10, 2024. Camera Ready Submission (Symposium): by Monday July 20, 2024. Author Registration (Symposium): by July 20, 2024. Regular Registration (Symposium): by Saturday March 23, 2024. Late Registration (Symposium): from Sunday March 24, 2024. Course Deadlines Regular Registration (Course): by Saturday March 23, 2024. Late Registration (Course): from Sunday March 24, 2024. Oral Presentation Submission (Course): by Saturday March 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict --

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Computational neuroscient INRIA position, Lyon
by Francoise Lecaignard 22 Nov '23

22 Nov '23

CALL FOR EXPRESSIONS OF INTEREST We are seeking for a computational neuroscientist, to apply for an INRIA position to join our COPHY team, in the Lyon Neuroscience Research Center (CRNL). Host team The COPHY<https://www.crnl.fr/en/equipe/cophy?language=en> team (Computation, Cognition and Neurophysiology) is led by Mathilde Bonnefond and Jérémie Mattout. It is composed of 5 researchers, 2 research engineers, 1 clinician and 11 national and international docs and postdocs. It is also regularly hosting internships of mostly engineers, Master 1 and Master 2 students with different backgrounds. Host institution The CRNL<https://www.crnl.fr/en/news-home?language=en> is a large INSERM/CNRS/University Lyon 1 research center, gathering more than 450 people spread across 20 teams and 10 platforms. It is located in the Lyon East Hospital Pole, a unique site combining medical care (4 hospitals respectively dedicated to neurology, psychiatry, cardiology and pediatrics), basic and clinical research (from genes and cells to cognition and behaviour; from bench to patient), as well as high-tech technological platforms (incl. Neuroimaging, MEG, SEEG, virtual reality). Scientific context In various sensory modalities, in health and disease, we mainly study human perception in the aim of unravelling its underlying cognitive, computational and neurophysiological mechanisms. Our team aims at innovating at the theoretical, methodological, experimental and clinical levels. In particular, we study neuronal encoding and communication (e.g., the emergence and functional role of oscillations; the computation behind the contextual modulations of cortical responses) in relation to brain disorders. This also guides the design of neurotechnologies (brain-computer interfaces) for research and clinical applications: namely ADHD, motor deficits and disorders of consciousness. Therefore, and beside behavioural and classical neuroimaging approaches (electrophysiology, fMRI), we use multimodal high-resolution neuroimaging (e.g., laminar MEG and fMRI) and computational modelling (e.g., Bayesian inference, Dynamic Causal Models of neuronal and cognitive processes; Spiking/Deep Neural Networks). Methods and models lie at the heart of our research. With this call, we aim at strengthening this core axis that is key to translating our theoretical hypothesis into testable quantitative predictions. Our team has recently evolved so that our hypothesis driven approach now spans several spatial and temporal scales (e.g., from neurotransmitters to behaviour; from trial-by-trial dynamics to neurodevelopment). Instantiating these hypotheses requires to build on most recent advances in computational neurosciences, for developing biologically plausible models of cognitive processes and their underlying physiological mechanisms. We thus develop models to be confronted with actual data. We actually use models to strongly guide the design of our experiments and provide new tools for data analysis (new algorithms that can be implemented in open software and shared with the whole team and beyond). We attach particular importance to the valorisation of computational models and methods, be it through their publication and diffusion, or by virtue of their impact on translating our research into societal and clinical applications. Finally, we also value methodological developments that support the emergence of new functional techniques (e.g. for the analysis of data from the new generation of MEG systems: optically pumped magnetometers (OPMs)). Desired candidate profile We seek for a young researcher whose profile will strongly complement our team. We expect the candidate to lead her/his own research program in computational neuroscience, but in strong interaction with the topics and experimental projects in the team. The important skills and topics we would like to further develop in the team include but are not limited to: – Spiking neural networks – Bayesian models (e.g. Active Inference) – Dynamical systems – Brain-Computer Interfaces – Machine Learning A previous experience in software development, teaching and human electrophysiology is not mandatory but will be a plus. INRIA position This call is to select a candidate for our team to apply for an INRIA position. In a single application, the candidate will have the possibility to apply to both a permanent research position (CRCN<https://www.inria.fr/en/researchers-normal-class-crcn>) and an INRIA starting faculty position (ISFP<https://www.inria.fr/en/inria-starting-faculty-position-isfp>). This process is organized once a year. A first stage requires the submission of a written application (around the end of winter 2024 for the next session). If preselected,the candidate will then defend her/his project orally in front of a jury (second and last recruitment stage). Application Application should contain a full resume (CV), a research and motivation statement (1 page max.) as well as the names of 2 references. Please send your application as a single document in pdf format, to both mathilde.bonnefond(a)inserm.fr and jeremie.mattout(a)inserm.fr, in an email entitled “Call for INRIA candidates”. Submission dead-line: December 8 (midnight GMT) this year. Remote interviews of the pre-selected candidates will likely be organized on December 20 and 21st this year. -------------------------------------------------------------------- Françoise Lecaignard Lyon Neuroscience research center (CRNL) - Team Cophy https://francoiselecaignar2.wixsite.com/flperso ________________________________

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