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Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023
by Hocine Cherifi Oct. 3, 2023

Oct. 3, 2023

*12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* <https://www.menton-riviera-merveilles.co.uk/>*, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 <http://www.complexnetworks.org/> *Registration:* https://complexnetworks.org/registration/ Early registration deadline: *October 13, 2023* *KEYNOTE SPEAKERS* Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/>* - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* <https://complexnetworks.org/keynote-speakers-3/> Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* <https://complexnetworks.org/keynote-speakers-3/> Manlio De Domenico <https://manliodedomenico.com/> Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* <https://complexnetworks.org/keynote-speakers-3/>* Interconnected Systems* Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* <https://complexnetworks.org/keynote-speakers-3/> Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* <https://complexnetworks.org/keynote-speakers-3/> Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> - USTC China - *Recent Debates in Link Prediction* <https://complexnetworks.org/keynote-speakers-3/> *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto <https://skewed.de/tiago> - CEU Vienna Austria - *Network Inference and Reconstruction* <https://complexnetworks.org/tutorials/> Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> - Queen Mary University of London UK - *Longitudinal language processing from user generated content* <https://complexnetworks.org/tutorials/> Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 <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 Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> 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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COSYNE 2024: Meeting announcement; Call for Abstracts
by Tomas Hromadka Sept. 30, 2023

Sept. 30, 2023

==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 04 October 2023 Abstract submission deadline: 19 November 2023 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Maja Bialon PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Juan Gallego (Imperial) Matthew Golub (U Washington) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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Open PhD position - Spiking Neural Networks for scalable learning neuromorphics
by Robert Legenstein Sept. 29, 2023

Sept. 29, 2023

The Lab of Robert Legenstein at Graz University of Technology (Austria) is offering a funded PhD position in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. The successful candidate will work on learning algorithms for spiking neural networks in the international consortium of the international project "Scalable Learning Neuromorphics". We will develop in this project learning algorithms for spiking neural networks for memristive hardware implementations. Please send your application including a CV, any prior thesis and/or work by October 20 to robert.legenstein(a)igi.tugraz.at Scalable Learning Neuromorphics project description: This project aims to develop scalable Spiking Neural Networks (SNNs) by leveraging the integration of 3D memristors, thereby overcoming limitations of conventional Artificial Neural Networks (ANNs). Positioned at the intersection of artificial intelligence and brain-inspired computing, the initiative focuses on innovative SNN training methods, optimizing recurrent connections, and designing dedicated hardware accelerators. These advancements will uniquely contribute to scalability and energy efficiency. The endeavor addresses key challenges in event-based processing and temporal coding, aiming for substantial performance gains in both software and hardware implementations of artificial intelligence systems. Expected research outputs include novel algorithms, optimization methods, and memristor-based hardware architectures, with broad applications and potential for technology transfer. -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Postdoc position on signal processing, AI and software for a closed-loop epilepsy, CLINATEC, Grenoble, France
by COSTECALDE Thomas Sept. 29, 2023

Sept. 29, 2023

We are seeking a highly motivated Postdoc to join the Epilepsy<https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> program at Clinatec, France (Grenoble). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously. The position will be for 3 years and open now. Please send your expression of interest to malvina.billeres(a)cea.fr<mailto:malvina.billeres@cea.fr> and get in touch if you have any questions. We look forward to hearing from you! Thanks Dr Costecalde Thomas Here is the full description : Title: Post-doctoral fellow (H/F) signal processing, AI and software for a closed-loop epilepsy treatment application using focal cooling, seizure prediction and detection. Context: Epilepsy remains one of the most common neurological disease. This pathology has an incidence of 50 to 100 000 new cases per year and affects around 50 million people worldwide.Antiepileptics drugs are currently the gold treatment but they are effective only in 60-70% of patients. For several years, nonpharmacological potential new treatments have been investigated including an interesting new approach using focal cooling. In the literature, some results in preclinical models have shown that a cooling at 21°C can reduce the frequency of epileptic seizures. The postdoctoral fellowship will be carried out at Clinatec, in Grenoble, France. We have started a programme focused on focal cooling treatment. Our aim is to develop a medical device delivering a focal cooling to deep brain regions such as the hippocampus to treat epilepsy. We have therefore developed a preclinical implantable device to deliver this cooling in order to obtain information concerning the parameters needed to reduce seizures (target temperature, duration...). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. The candidate will work closely with a neurosurgeon, who will provide neuroscientigic expertise, as well as a PhD student (biology). The laboratory also includes engineers, clinicians and a signal processing team. Missions will include, * Labelling of the different brain signals occurring in epilepsy (seizure, pre-ictal, interictal, post-ictal...). * Statistical analysis and hypothesis testing of the data. * Online closed loop optimization of seizure prediction/forecasting algorithms. * Detection of anomalies (HFO, fast ripples, phase coupling) for prediction and forecasting. * Testing of adaptive algorithms for prediction and forecasting (preclinical/clinical database): effects of cooling on algorithm performance. * Integration of other measurements (temperature...) in algorithm prediction. * Maintenance and improvement of experiment software Profil of candidate: PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously.

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The Purdue CCNLAB is recruiting a new graduate student for Fall 2024!
by Helie, Sebastien Sept. 29, 2023

Sept. 29, 2023

Dr. Sébastien Hélie is looking for new graduate students interested in problem solving, decision-making, or cognitive control. Dr. Hélie supervises students in the Mathematical & Computational Psychology (MCP) program, the Cognitive Psychology program, and the Neuroscience and Behavior program. This year, priority will be given to applications in the MCP program, but my interest is to recruit the best applicant regardless of which program the applicant is from. The Department of Psychological Sciences at Purdue University is consistently ranked among the top 50 in the US, and the CCNLAB has been doing cutting-edge research using various behavioral, neuroscientific, and computational methodologies. Interested students should contact Prof. Hélie at shelie(a)purdue.edu. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ -----------------------------------------------------------------

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Postdoc position on predictive representation / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm Sept. 29, 2023

Sept. 29, 2023

We are seeking a highly motivated Postdoc to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on a MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. The successful candidate should have a background in cognitive neuroscience (preferably in action and/or perception, M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab). The position will be for 2 years and probably open in beginning of 2024. Please send your expression of interest to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it> and get in touch if you have any questions. We look forward to hearing from you! Best wishes, Moritz Wurm

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Modellers Workshop for the Brain Dynamics Toolbox (Final Call)
by Stewart Heitmann Sept. 29, 2023

Sept. 29, 2023

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. The Modeller’s Workshop is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information Enrolments close Sat 30th Sep 2023. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Organization for Computational Neurosciences - call for self-nominations to the Board of Directors
by Rubchinsky, Leonid L Sept. 28, 2023

Sept. 28, 2023

Dear Colleagues, The Organization for Computational Neurosciences is inviting self-nominations for the OCNS Board of Directors election. New Directors will serve a three-year term from January 2024 through December 2026. Candidates are required to be an OCNS members for at least a year or to attend an on-site annual CNS meeting in the past. More information about the new Directors’ election can be found at https://www.cnsorg.org/election-procedures The deadline for application is October 11, 2023. Best regards, OCNS Board of Directors

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Two Computational Neuroscience Faculty Positions at UChicago
by Brent Doiron Sept. 28, 2023

Sept. 28, 2023

Dear Computational Neuroscience Community The University of Chicago's Grossman Center for Quantitative Biology and Human Behavior seeks to recruit faculty in computational/theoretical neuroscience into the Department of Neurobiology within the Biological Sciences Division or the Department of Physics in the Physical Sciences Division. Appointees will be core members of the Grossman Center for Quantitative Biology and Human Behavior and will lead a ‘dry’ computational lab alongside a growing group of other computational neuroscientists. Appointments will be made in an appropriate primary department (Neurobiology or Physics) based on field and experience, with secondary appointment(s) in another unit possible. Academic rank and compensation (including a generous package of fringe benefits) are dependent upon qualifications. We especially welcome applicants who are developing computational models and analysis methods at the cellular, circuits, systems, or cognitive levels from all relevant academic disciplines including physical and biological sciences. Appointees will be expected to establish deep and extensive collaborations with the vibrant experimental neuroscience community at the University of Chicago. The University of Chicago is currently engaged in a major expansion in neuroscience, with computational neuroscience being an area of focus. The University offers a rich intellectual environment that includes a strong translational neuroscience community and affiliations with Argonne National Laboratory and the Data Science Institute. The Divisions, other academic units of the University, and the School of Medicine, are all contained within one compact campus in Chicago's Hyde Park. Appointees will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences. Prior to the start of employment, qualified applicants must have a Ph.D. or equivalent. Application Instructions: Applications must be submitted through the University of Chicago’s Academic Recruitment job site: http://apply.interfolio.com/133134. Review of applications will begin on November 1, 2023, and continue until all positions are filled. Best Brent Doiron -- Heinrich Kluver Professor of Neurobiology and Statistics Director of the Grossman Center for Quantitative Biology and Human Behavior Chair for the Committee on Computational Neuroscience University of Chicago Chicago IL https://brainmath.bsd.uchicago.edu/

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Postdoctoral Associate Position in Cardiac-Cortical Circuit Modelling at the Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris.
by Boris Sept. 28, 2023

Sept. 28, 2023

A three-year post-doctoral position in theoretical neuroscience is open to explore the mechanisms of interaction between interoceptive cardiac and exteroceptive tactile inputs at the cortical level. We aim to develop and validate a computational model of cardiac and of a somatosensory cortical circuit dynamics in order to determine the conditions under which interactions between exteroceptive and interoceptive inputs occur and which underlying mechanism (e.g., phase-resetting, gating, phasic arousal,..) best explain experimental data. The ideal candidate should have a doctoral degree in quantitative discipline (e.g. applied mathematics, physics, engineering) and previous experience with dynamic system approaches to neural function , modelling cortical neural circuits, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences on neural dynamics, perception 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 postdoctoral fellow will be based at the Group for Neural Theory <https://gnt.dec.ens.fr/en> at 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 <https://lnc2.dec.ens.fr/en/research/teams/subjectivity-brain-and-viscera-45…>. 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 rules. Starting date is first semester 2024. Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent to boris.gutkin(a)ens.psl.eu <mailto:boris.gutkin@ens.psl.eu> and catherine.tallon-baudry(a)ens.psl.eu <mailto:catherine.tallon-baudry@ens.psl.eu>. Applications can be sent immediately but application evaluation will begin on Oct 25th, 2023. Applications received after Oct 25th will be evaluated on the fly, the position remaining open until filled. Boris Gutkin, PhD Research Director CNRS Group for Neural Theory LNC2, INSERM U 960 Department of Cognitive Studies Ecole Normale Superieure Paris. France boris.gutkin(a)ens.fr

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PhD student in Amsterdam on embodied decision-making
by Bernadette van Wijk Sept. 28, 2023

Sept. 28, 2023

Dear colleagues, Within the Neurocontrol section at the Department of Human Movement Sciences, Vrije Universiteit Amsterdam, we are looking for a PhD candidate on the topic of embodied decision-making. The candidate will work at the intersection between cognition and motor control. With clever experimental designs and a strong focus on EEG time series analysis, and neural and cognitive modelling, we aim to dig into the neural mechanisms of perceptual decision making. The 4-year project will be supervised by Dr. Bernadette van Wijk, Dr. Rob van Beers, and Prof. Jeroen Smeets. Requirements: - MSc degree in human movement sciences or a related field such as (cognitive or computational) neuroscience, psychology, or biomedical engineering - Affinity with the research topics motor control and perceptual decision-making - Prior experience with conducting behavioural experiments in human participants - Prior experience with time series analysis and statistical modelling - Comfortable with programming in Matlab and/or Python - Prior experience with conducting and analyzing EEG experiments is desired For more information and to apply, please see: https://workingat.vu.nl/ad/phd-position/d6jrlg PhD position: The neural mechanisms of Embodied decision-making - 4. Working at VU workingat.vu.nl Best, Bernadette van Wijk Assistant Professor Department of Human Movement Sciences Vrije Universiteit Amsterdam The Netherlands

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UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine Sept. 27, 2023

Sept. 27, 2023

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon’s reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules.*Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. Check our **Call For Papers <https://unireps.org/call-for-papers/>** below.* *For any additional information check our **website <https://unireps.org/>* *, **Twitter profile <https://twitter.com/unireps>**, **Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>**, or contact us at **unireps.organizers(a)gmail.com**.**Call For Papers* Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. *Topics* A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs *Important Dates* - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 *Tracks* Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop.*Paper Format* The full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>. *Clementine Domine* *Gastby Computational Neuroscience Unit Phd Student* On the behalf of the Unireps committee

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NITMB Fellows Program
by William L. Kath Sept. 27, 2023

Sept. 27, 2023

Dear Colleagues and Friends, We are excited to announce the launch of the National Institute for Theory and Mathematics in Biology <https://new.nsf.gov/news/new-50-million-institute-aims-use-power-math-model>! This joint venture between Northwestern University and the University of Chicago is funded by the NSF and Simons Foundation and will form a hub for research at the interface of mathematics and biology. The NITMB <https://www.nitmb.org/> will support research projects in the Chicagoland area plus a wider network of collaborators, and will also host long programs to bring researchers from around the globe together to tackle how biological systems operate, focusing on mathematical theories, modeling, algorithms, and computational approaches. We are also excited to begin recruiting talented independent postdoctoral researchers to the NITMB, and we’d like your help spreading the word. Attached you will find our call for applications tothe NITMB Fellows <https://www.nitmb.org/nitmb-fellows> Program. These are three year positions for postdocs, who can function with a large amount of autonomy at the NITMB. We hope you’ll share this broadly. Cheers, The NITMB team ---------------------------- The newly formed NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), jointly hosted by Northwestern University and the University of Chicago, invites applications for the 2024-2027 NITMB Fellows Program. We seek remarkable early-career researchers, who will have completed a doctoral degree in Mathematics, Physics, Computer Science, Engineering, Biology or related fields by September 2024. This opportunity is open to researchers who want to develop theory and computational approaches to study any area of biology. Under the mentorship of NITMB leadership, fellows will develop an independent research program aligned with the Institute’s interest in the constraints and capabilities of living systems, fostering collaborations with NITMB members or others outside the Institute. This three-year fellowship offers a competitive salary and generous research stipend. The goal of the fellowship is to empower an early-career scholar to define their research path, either independently or in close collaboration with members across various departments, including Biological Sciences, Mathematics, Physics, Computer Science, and Engineering. Appointments can start as early as February 1, 2024 but no later than September 1, 2024, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals who are less than seven years post attainment of their Ph.D. degree. NITMB Fellows will be part of a thriving intellectual community with no teaching obligations, allowing full dedication to groundbreaking research. There are opportunities to participate in NITMB-sponsored outreach programs. Candidates must apply by emailing their application documents to Nitmb_fellows(a)nitmb.org, and will be asked to provide the following documents: cover letter, curriculum vitae, list of publications and preprints, and a description of research interests to be pursued at the NITMB. In addition, at least three letters of recommendation must be received from faculty members or senior research scientists who are active in the field of study in question. These should be sent by email to nitmb_fellows(a)nitmb.org with the candidate’s last name in the subject line. The required materials and the letters of reference must be received by November 1, 2023. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The Universities’ Statements on Diversity are at https://www.northwestern.edu/diversity/about/mission-and-vision/ and https://provost.uchicago.edu/statements-diversity. Northwestern University and the University of Chicago are Affirmative Action/Equal Opportunity/Disabled/Veterans Employers and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the Universities’ Notices of Nondiscrimination. Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) Sept. 27, 2023

Sept. 27, 2023

***Apologies for multiple postings*** We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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Tenure-track Assistant Professor Position in Quantitative Methods (Psychology) at the University of Florida
by Steve Weisberg Sept. 26, 2023

Sept. 26, 2023

*Full link to job description and application: Apply Now! <https://explore.jobs.ufl.edu/en-us/job/528656/assistant-professor-in-psycho…> <https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&…>* The Department of PSYCHOLOGY at the UNIVERSITY OF FLORIDA, College of Liberal Arts and Sciences, invites applications for a full-time, nine-month, tenure-accruing, OPEN-AREA Assistant Professor with special emphasis in QUANTITATIVE METHODS, beginning August 16, 2024. We encourage applications from any research orientation in psychology and the position is open to candidates who employ a wide variety of methodological tools or approaches (including, but not limited to, computational modeling, statistics, artificial intelligence, structural equation modeling, multilevel modeling, network analysis, and longitudinal data analysis). Applicants will be expected to maintain an outstanding program of research with high potential for external funding, teach psychology graduate and undergraduate courses, advise students, and provide service to the institution. The Department of Psychology values interdisciplinary approaches to research and training, and strongly encourages collaboration across its five programs (behavior analysis, behavioral and cognitive neuroscience, counseling, social, and developmental psychology). An ideal candidate would bring methodological expertise that contributes to and enhances the research profile and extramural funding of one or more of these programs. For more information about our department see http://www.psych.ufl.edu and the University of Florida see https://www.ufl.edu. This search is also connected to a campus-wide effort by the University of Florida to expand the role of artificial intelligence in higher education and research (https://ai.ufl.edu) The University is home to HiPerGator, one of the most powerful high-performance computers at a US public university (https://www.rc.ufl.edu/about/hipergator/) A member of the prestigious Association of American Universities (AAU), the University of Florida is the state’s oldest and most comprehensive land-, sea-, and space-grant university, with an enrollment of over 50,000 students. In 2023, the University of Florida was ranked the first and sixth-best public university in the United States by *The Wall Street Journal* and *U.S. News & World Report*, respectively, with exceptional research, teaching, and a university-wide commitment to diversity. For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete application includes: 1. Cover letter that includes information regarding the candidate’s experience, interest, and expertise in Quantitative Psychology (1-2 pages) 2. Curriculum vitae 3. Statement of research interests and plans (2-3 pages) 4. Statement of teaching experience, interests, and philosophy (1-2 pages) 5. Up to three reprints or pre-prints 6. Contact information for three individuals who have agreed to provide a letter of recommendation (*letters will be requested for shortlisted candidates only*) Review of applications will begin on *October 15, 2023* and will continue until the position is filled. Questions about the position may be directed to Natalie Ebner and Greg Webster, search committee co-chairs at natalie.ebner(a)ufl.edu or gdwebs(a)ufl.edu. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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postdoc positions in cognitive control and brain-computer interface (UTSW Neurosurgery)
by Zhongzheng Fu Sept. 26, 2023

Sept. 26, 2023

Two postdoc positions are available in the laboratory of Zhongzheng Fu in the Department of Neurological Surgery, University of Texas Southwestern Medical Center. We study the neural mechanisms of cognitive control using mathematical modeling and human neurophysiology. We have several ongoing projects in the lab that include probing the network activity underlying cognitive control, the neuronal mechanisms for metacognition in decision making and artificial cognitive control. We aim to develop novel approaches to restore cognitive control in various psychiatric/neurological conditions, develop efficient brain-computer interface and ultimately enhance cognitive control in healthy individuals. Applicants who are intellectually curious and passionate about tackling challenging neuroscience problems using a combination of approaches (behavioral modelling, machine learning, intracranial recordings, neuromodulation, EEG/MEG) are encouraged to apply. Postdoctoral scientist in the lab will conduct cutting-edge research in a protected, interactive, highly collaborative, and well-funded environment, with access to state-of-the-art platforms such as intracranial recordings in various patient populations, EEG/MEG, high-performance computing sources. Qualifications for this position include Ph.D. or M.D. degree(s). Applicants who have excellent coding skills (python, MATLAB, R) and a strong background in statistics, machine learning, deep learning and signal processing are particularly encouraged to apply. Interested applicants should submit the following documents to Zhongzheng.Fu AT UTSouthwestern.edu 1. A Cover Letter describing your interest in this position. 2. A CV listing your education, training background, publications, awards, and skill sets. 3. Contact information for references For more information, please visit our lab website at https://zfu-lab.org. Zhongzheng Fu, Ph.D. Assistant Professor Department of Neurological Surgery, UT Southwestern Medical Center ________________________________ UT Southwestern Medical Center The future of medicine, today.

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Jobs at Flatiron Institute (CCN) and NYU (Center for Neural Science)
by SueYeon Chung Sept. 26, 2023

Sept. 26, 2023

Dear Colleague, The Neuro-AI and Geometric Data Analysis Lab at NYU and the Flatiron Institute (PI: SueYeon Chung) are seeking postdoc fellows, grad students, and a full-time research assistant. We have multiple positions with flexible start dates. Our lab is situated in the heart of downtown New York City, operating jointly at NYU's Center for Neural Science and the Center for Computational Neuroscience at the Flatiron Institute, a research institution within the Simons Foundation dedicated to computation. The lab is also affiliated with NYU’s Center for Data Science, Minds, Brains and Machines Initiative, CILVR group, and Cognition & Perception Program. Our current research focuses on the following areas, all geared towards analytically and phenomenologically connecting various levels of abstraction and scales in information processing within biological and artificial neural networks: 1. Neural Manifolds as a Population Coding Theory: - Objective: Develop a normative theory of neural population geometry, known as neural manifolds. - Aim: Create an analytical theory that establishes a connection between the structure in high-dimensional neural data and the underlying computational processes. - Toolkits: Statistical physics (*replica method, random matrix theory*), neural network and machine learning (theory & applications), convex optimization, high-dimensional geometry, and statistics. - Applicants with backgrounds in statistical physics, machine learning theory, and theoretical neuroscience are strongly encouraged to apply. 2. Neural Manifolds as a Data Analysis Method: - Objective: Employ the theory and methods of neural manifolds for neural data analysis. - Background: We welcome applicants with backgrounds in neuroscience and cognitive science who are familiar with a wide range of experimental datasets and various model systems. An interest in collaborating with cutting-edge theory subgroups is highly encouraged. 3. Deep Learning Theory for Neuroscience: - Objective: Apply analytical insights from deep learning theory to computational approaches in systems neuroscience. - Toolkits: Statistical physics (replica method, random matrix theory), machine learning theory and applications, high-dimensional statistics. Additionally, we are exploring frontier topics, including the theory of neural manifolds for causality in large language models, the theory of multitasking and cognitive control, and the theory of semantic/categorical hierarchies and knowledge representations. If you are passionate about advancing our understanding of the structure of information in neural systems, we encourage you to apply. We welcome theorists and computational neuroscientists across a range of backgrounds, such as *machine learning* (applications and theory), *theoretical/statistical physics*, *computer science*, *computational and systems neuroscience*, and *cognitive science*. Join us in this exciting journey at the intersection of neuroscience, computation, and theory. If interested, reach out with a CV, a brief description of research interests, and a list of references to sueyeon(a)nyu.edu or schung(a)flatironinstitute.org. (Please note that official job announcements from the Flatiron Institute will be widely circulated in the upcoming weeks, but we are scheduling candidate seminars on a rolling basis.) Best, SueYeon Chung Assistant Professor Center for Neural Science, New York University Center for Computational Neuroscience, Flatiron Institute, Simons Foundation Personal Website: https://sites.google.com/site/sueyeonchung/ Lab Website: http://www.sychunglab.org/

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YOUNG RESARCHER AWARD @ FRCCS 2024
by Hocine Cherifi Sept. 25, 2023

Sept. 25, 2023

*YOUNG RESARCHER AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/young-resarcher-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> *Submission deadline: April 24, 2023* The Young Researcher 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 up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form <https://docs.google.com/forms/d/e/1FAIpQLSc7JjwOEPF0YYBRHWomS3o-fZ3YXu0a5QU…> or the Supporter nomination form <https://forms.gle/bkVFg9pUvt2f4K1p9> *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* A prize of 1000 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <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 Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> 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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Bertalanffy Doctoral Student Award
by Hocine Cherifi Sept. 25, 2023

Sept. 25, 2023

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2024* <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 in presenting your research in simple terms in a five minutes 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 the French Regional Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> FRCCS <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 *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *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 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. <https://docs.google.com/forms/d/e/1FAIpQLSe49vdpumpzjVJJ7_mWgC5zKSLS1AqelD_…> *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* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <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 Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> 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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The full schedule for the fourth Canadian Computational Neuroscience Spotlight is now available
by Scott Rich Sept. 25, 2023

Sept. 25, 2023

Dear Comp-Neuro Listserv, The schedule for the fourth Canadian Computational Neuroscience Spotlight (CCNS), including 40+ talks from trainees, is finalized and available here <https://ccnsmeeting.ca/#04-ccns-2023-program>. Along with these fantastic talks from young scientists, the keynote speakers for the meeting are Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. The meeting takes place next week, Thursday October 5-Friday October 6. Registration is completely free at https://www.crowdcast.io/c/ccnsv4, and the meeting will be entirely online. Please spread the word to anyone who might be interested in attending! Please don't hesitate to reach out if you have any questions about the meeting, and we look forward to seeing you there. Sincerely, Scott Rich

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2-year postdoc position in social neuroscience
by Bischofberger, Jasper Sept. 25, 2023

Sept. 25, 2023

2-year 100% postdoc position in social neuroscience at the Julius-Maximilians-Universität Würzburg (JMU) Würzburg, Germany The Translational Social Neuroscience Unit offers a position as a postdoctoral researcher (m/f/x) starting as soon as possible. We study the psychological and neurobiological processes underlying social interactions and decisions. In current studies, we investigate drivers of human social behavior such as empathy, social norms, group membership, and egoism, as well as the social modulation of anxiety and pain processing. We use neuroscientific methods (functional magnetic resonance imaging, electroencephalography) and psychophysiological measures (heart rate, skin conductance), combined with experimental paradigms from cognitive and social psychology and simulations of social interactions in virtual reality. Using smartphone-based surveys and mobile physiological sensors, we study social interactions in everyday life. As part of the Center of Mental Health and the Department of Psychiatry, Psychosomatic and Psychotherapy, we have access to 3T and 7T fMRI research scanners, TMS, EEG, a Virtual-Reality-Labor (CAVE), and to patients with different psychiatric conditions. We cherish a good working atmosphere and work as a team, but you will also be encouraged to develop and strengthen your own research profile. We seek a candidate with a background in psychology, social neuroscience, cognitive neuroscience or cognitive science with a successfully completed PhD. Ideally; you should have experiences with computational modeling (e.g., reinforcement learning models) and the respective software (e.g. MATLAB/ R programming). Experience with the collection and analysis of empirical date (ideally including neuroscience data) and excellent language skills in English and preferably also in German are required. The research topics are subject to the fits between the candidate’s research interests, expertise, and ongoing projects in the research group, particularly the DFG-funded research project on learning and intergroup processes. Based on personal qualification, employees are remunerated according to salary group E 13 TV-L. The position is initially limited until September 30, 2025 with the option for extension. Please contact Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) for questions about the position. The University of Würzburg is an inclusive, equal opportunity employer. Individuals with disabilities will be given priority, assuming equal qualifications, and are thus encouraged to apply. The University of Würzburg seeks to increase the number of women in those areas where they are underrepresented and therefore also explicitly encourages women to apply. Please send your applications including a motivation letter, research interests, CV (including publications if applicable), degree certificates and names of 2 referees by October 20th 2023 as a single PDF file to Prof. Dr. Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) with [postdoc TransSocNeuro] in the subject line. Bitte beachten Sie die Hinweise des Universitätsklinikums Würzburg zu Datenschutz<https://www.ukw.de/recht/datenschutz/>, Vertraulichkeit<https://www.ukw.de/recht/vertraulichkeit/> und Nachhaltigkeit<https://www.ukw.de/klinikumsleitung-und-verwaltung/stabsstelle-nachhaltigke…>!

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Machine Learning Summer School 2024 in Okinawa: Apply by Sept. 30, 2023
by Kenji Doya Sept. 25, 2023

Sept. 25, 2023

We are pleased to organize the Machine Learning Summer School 2024 at OIST: https://groups.oist.jp/mlss It will be from March 4th to 15th, and yes, we call it summer in Okinawa. The application deadline is September 30, 2023 (UTC). Please apply from here: https://groups.oist.jp/mlss/application Confirmed speakers: Pierre Alquier, ESSEC Marco Cuturi, ENSAE/Apple Kenji Doya, OIST Yu-Chiang Frank Wang, National Taiwan University/ NVIDIA Kenji Fukumizu, ISM Arthur Gretton, UCL Tatsunori Hashimoto, Stanford University Stefanie Jegelka, MIT Gitta Kutyniok, LMU Taiji Suzuki, University of Tokyo/RIKEN AIP Diyi Yang, Stanford University Amy Zhang, UT Austin Han Zhao, UIUC Target Audience: We aim to select 200 highly motivated participants. Our primary target audience consists of master and PhD students with a strong technical background in machine learning related research topics. A limited number of industry practitioners, professors, researchers, outstanding bachelor's students may also be considered. All participants are expected to have knowledge of programming in Python, a keen interest in machine learning, and familiarity with linear algebra, basic calculus, and basic probability and statistics. MLSS2024 organizers: Makoto Yamada (OIST) Masashi Sugiyama (U. of Tokyo / RIKEN AIP) Kenji Doya (OIST) Inquires: mlss2024(a)oist.jp ---- 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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Gatsby Unit PhD Programme 2024: Applications now open
by I-Chun Sept. 25, 2023

Sept. 25, 2023

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 13 November 2023 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Postdoc openings in the Savin lab at NYU
by Cristina Savin Sept. 22, 2023

Sept. 22, 2023

Applications are invited for two postdoctoral positions in the Savin group in the Centre for Neural Science and Center for Data Science at NYU. We have several ongoing projects focused on statistical modeling of population responses during complex behavior, with a focus on latent population dynamics, inter-area interactions, and causal interventions. In particular, in the context of a collaboration with the Angelaki lab, we are working on elucidating mechanisms of dynamic updating of beliefs in foraging tasks, using multi-area recordings in VR and freely moving monkeys. In a separate project, funded by the Brain Initiative, we are developing tools for single trial estimation of patterns of gain modulation, in collaboration with the Coen-Cagli group. These are joint endeavors across the pair of lab, with regular joint meetings and group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis until the position is filled. I will be at the Bernstein meeting next week and happy to answer questions. Cristina Savin Assist.Prof. in Neural Science and Data Science NYU

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PhD position - Comp. Neuro. - Navigation using episodic memo
by Vinita Samarasinghe Sept. 22, 2023

Sept. 22, 2023

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *If you are interested in this position and are attending the Bernstein Conference please get in touch directly with Sen Cheng at the conference.*** *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. Deadline remains open until the position is filled. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me 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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6 open rank positions in NeuroInformatics at UIUC
by Vlasov, Yurii A Sept. 20, 2023

Sept. 20, 2023

[cid:e26cf374-d29e-4fc1-9a41-a62369ce0a1c] Strategic Hiring Initiative: Neuroinformatics Cluster Hire The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire six (6) full-time tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website https://publish.illinois.edu/neuro-cluster/ Participating Departments The participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering; (4) Statistics; (5) Psychology; and (6) Molecular and Integrative Physiology. Areas of Interest We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets. Eligibility Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department. Application Instructions To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates. Please contact neuroinformatics(a)illinois.edu with any questions.

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CFP: FLAIRS37, Neural Network and Data Mining Special Track, Miramar Beach, FL, May 18-21, 2024
by David B Sept. 20, 2023

Sept. 20, 2023

*eural Networks and Data Mining* *Special Track at the **37th International FLAIRS Conference* <https://www.flairs-37.info/home> * Miramar Beach, Florida,** May 18-21, 2024* *Abstract Due Date: January 22 , 2024* *Submission Due Date: January 29 , 2024* *Paper acceptance notification: March 11, 2024 * *Camera ready version : April 8, 2024 * *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy; Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic ; Acceleration of neural network modeling via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. *Submission Guidelines* Submitted papers *must be original*, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-37.info/call-for-papers) and be submitted as a PDF through the EasyChair <https://easychair.org/conferences/?conf=flairs37> conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Cochairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program committee*: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chandrashekar Muniyappa (Upgrade Inc, USA) Yoni Fridman (Verizon Business Solutions, USA) Diane Cook (Washington State University, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Olac Fuentes (University of Texas at El Paso, USA) Lawrence Holder (Washington State University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Ramesh Paudel (Sysco Corp, USA) Prabin Lamichhane (Tennessee Tech University, USA) Hyoil Han (Illinois State University, USA)

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PhD position: Effects of music on sleep EEG
by Martin Dresler Sept. 20, 2023

Sept. 20, 2023

Hi, Within the Lullabyte.org consortium, one additional PhD position needs to filled, combining neuroscience, musicology and AI. The project will investigate the effects of generative music on sleep, as measured by wearable sleep EEG. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network Lullabyte.org, working on the intersection of musicology, sleep research, and AI. It will be mostly based at Endel.io in Berlin, with secondments to the Technical University Dresden and the Donders Institute in Nijmegen/NL. Requirements: strong skills in music research and experience in neuroscience, with a master degree or equivalent in one of the following (or related) fields: musicology, music technology, computer music, neuroscience, psychology. Application until 24 September 2023, starting date as soon as possible. Please send your applications including a brief (1-2 pages) motivation letter, CV, and contact information for two references to miriam.akkermann(a)tu-dresden.de Cheers, Martin Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Opening for a postdoc/research associate in theoretical neuroscience at LMU Munich
by Andreas Herz Sept. 20, 2023

Sept. 20, 2023

The Herz-Lab at LMU Munich has an opening for a postdoc/research associate in theoretical neuroscience. The lab focuses on a range of topics related to the neural basis of spatial navigation. Potential projects include the study of experimental data provided by collaboration partners, computational modeling at the network level, as well as mathematical theory. A solid background in nonlinear dynamics and/or theoretical physics is expected, and a willingness to go off the beaten track is encouraged. We are located on the vibrant Martinsried-Campus of LMU, next to the Max-Planck-Institute for Biological Intelligence (MPI-BI). The Herz-Lab forms part of the Bernstein Center for Computational Neuroscience Munich (BCCN), the Graduate School for Systemic Neuroscience (GSN), and the Munich Center for Neuroscience (MCN). For details, please get in touch with me via [ mailto:herz@bio.lmu.de | herz(a)bio.lmu.de ] or meet me at the 2023 Bernstein Conference in Berlin. Best regards Andreas Herz Further information: Herz-Lab [ http://neuro.bio.lmu.de/research_groups/res-herz_a | neuro.bio.lmu.de/research_groups/res-herz_a ] BCCN [ http://www.bccn-munich.de/ | www.bccn-munich.de ] GSN [ http://www.gsn.uni-muenchen.de/ | www.gsn.uni-muenchen.de ] MCN [ http://www.mcn.uni-muenchen.de/index.html | www.mcn.uni-muenchen.de/index.html ] MPI-BI [ http://www.bi.mpg.de/en | www.bi.mpg.de/en ]

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SNUFA 2023 abstract submission closing soon (deadline Sept 29)
by Friedemann Zenke Sept. 20, 2023

Sept. 20, 2023

Dear all, For those interested in spiking neural networks, this is a reminder that the SNUFA 2023 submission deadline for contributed talks and posters is closing soon (deadline Sept 29, 2023). SNUFA is an annual online workshop focused on spiking networks as universal function approximators. It brings together computational neuroscience, machine learning, and neuromorphic engineering researchers. Topics include, but not limited to, artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Invited speakers this year are Rodolphe Sepulchre (KU Leuven and University of Cambridge), Melika Payvand (INI, Zurich), Gabriel Ocker (Boston University), and Jeff Krichmar (UC Irvine). For details, see https://snufa.net/2023/ Hope to see you there. Kind regards on behalf of the organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke

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Final call for Mathematics of Neuroscience Conference: 28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece.
by Battleday, Ruairidh Sept. 20, 2023

Sept. 20, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Final call for general attendance and poster sessions —---------------- One week left before this year’s conference on the mathematics of neuroscience, and last chance to register for general attendance or to present a physical or virtual poster: www.neuromonster.org The line up is looking fantastic, and thank you to everyone that made a submission. Fortunately, flights and accommodation are still reasonably cheap! In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Professor Volker Tresp (Munich) Professor Daniel Graham (HWS) Professor Marcelo Bertalmío (SNRC) Professor Mayank Kejriwal (USC) Dr Thomas Parr (UCL) Dr Andreea Bobu (MIT) Dr Ilias Rentzeperis (SNRC) Dr Steeve Laquitaine (The Swiss Federal Institute of Technology) Dr. Panagiotis Mougkogiannis (UWE) Dr Jonathan V. Gill (NYU) Dr Tommaso Salvatori (Verses.ai) Dr Charles Cohen (Fidelis.ai) Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision) Dr Michael Popov (OMCAN network) Dr Sunder Bukya (University of Hyderabad) Shirin Vafaei (Osaka University) Arvind Saraf (Attention Tag) Shivang Rawat (NYU) Jay Verma (University of Delhi) Declan Campbell (Princeton University) Tyler Giallanza (Princeton University) Carol Upchurch (Louisiana State University) Francesco Guido Rinaldi (SISSA) Hang Li (LMU Munich) Simon Frieder (Oxford) Sabahaddin Taha Solakoglu (Hacettepe University) Hanna Derets (University of Waterloo) Jia Li (KU Leuven) Rahul Jain (Pomona College) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Multiple Tenure-Track Faculty positions at University of Oregon
by Luca Mazzucato Sept. 19, 2023

Sept. 19, 2023

The University of Oregon is seeking candidates for multiple tenure-track faculty positions at the Assistant Professor level in data science, statistics, and applied math—one in the Math department and two in UO's new Data Science Department. We encourage applications from candidates working in Computational Neuroscience and Artificial Intelligence as well as other data science-related fields, and we particularly welcome applications from candidates from underrepresented backgrounds. UO's vibrant neuroscience community includes our Institute of Neuroscience <https://ion.uoregon.edu/>, the NeuroAI Center <https://ion.uoregon.edu/neuroai>, and the International Network for Bio-Inspired Computing <https://urldefense.com/v3/__https://www.in-bic.org/__;!!C5qS4YX3!EH7D1JvIbA…> . Please circulate the two job advertisements below to any potential applicants at your institution who may be interested. -- *Assistant Professor of Mathematics* https://www.mathjobs.org/jobs/list/22919 <https://urldefense.com/v3/__https://www.mathjobs.org/jobs/list/22919__;!!C5…> The University of Oregon’s Mathematics Department invites applications for a tenure-track Assistant Professor position, to begin in fall 2024. Successful candidates will be working at the interface of mathematics with statistical inference, machine learning, and/or related areas of data science. They will have a record of research excellence, potential for excellent teaching, and a commitment to promoting an inclusive community. While this position will be in the Mathematics Department, we value the ability to interact with other units on campus, including (but not limited to) the School of Computer and Data Sciences, the Department of Biology, the Institute of Neuroscience, and the Knight Campus for Accelerating Academic Impact. We welcome applicants with a wide range of academic backgrounds. Questions about this search can be directed to James Murray (jmurray9 at uoregon dot edu). -- *Assistant Professor of Data Science* https://academicjobsonline.org/ajo/jobs/25568 <https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/25568__…> We enthusiastically invite multiple interdisciplinary researchers to join our newly established Department of Data Science as tenure-track faculty colleagues. We invite applications from researchers working in Data Science, broadly defined, including those working in other domains who contribute to data analysis methodology for that domain (e.g., methods and/or applications of artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc) as well as those whose research focuses directly on the methodology itself (e.g., computer science or statistics). We are building the Data Science department to center justice, diversity, equity, and inclusion (JDEI), in our department's research, teaching, and organization. Strong faculty candidates will therefore have demonstrated impactful contributions to JDEI. We encourage applications from candidates with a history of collaboration with domain experts. Questions about this search can be directed to Luca Mazzucato (lmazzuca at uoregon dot edu).

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Two faculty positions at the University of Miami (Department of Psychology)
by Mingbo Cai Sept. 19, 2023

Sept. 19, 2023

The Department of Psychology at the University of Miami, a private institution in a diverse and metropolitan city, invites applications for two full-time, tenure-eligible, or tenure-track faculty members to join our department in August 2024. One position is in the department’s Adult Division, and the other is the Cognitive & Behavioral Neuroscience division. *Adult Division - *The specific area is open. Area(s) of focus could include, but are not limited to, basic research on affect, cognitive science, and/or mechanistic studies related to mental health or the impact of disparities. We also welcome outstanding scholars with expertise in one or more of the following methods, including lab-based experimental, neurophysiological, computational, and/or mobile health/digital phenotyping. Individuals with interests in data science, including advanced quantitative techniques, big data, and machine learning are also encouraged to apply. *Cognitive & Behavioral Neuroscience Division - *The specific area is open, but we are particularly interested in individuals who incorporate innovative and sophisticated cognitive, affective, or social neuroscience methods into their research program. Candidates must hold a Ph.D. (non-clinical or clinical) by the appointment start date. Applications will be considered at the rank of Assistant Professor and Associate Professor level. Appointment is expected to start on August 15, 2024. Applications can be submitted via the UM Careers website – Adult Division posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> and Cognitive & Behavioral Neuroscience posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> . Review of applications will begin on October 1, 2023 and continue until the position is filled. Inquiries, requests for information, and nominations can be sent to the Search Committee Chairs (Adult – Kiara Timpano k.timpano(a)miami.edu; Cognitive & Behavioral Neuroscience – Aaron Heller aheller(a)miami.edu) *------------------------------ * The University of Miami is an Equal Opportunity Employer – Females, Minorities, Protected Veterans, and/or Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here <https://www.hr.miami.edu/careers/eo-ada/index.html> for additional information.

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Postdoctoral positions for CRCNS project on Role of ACh on Memory
by Alex Roxin Sept. 19, 2023

Sept. 19, 2023

*Call for one experimental and one theoretical postdoctoral position in the framework of a collaborative (US/Spain) CRCNS project on the role of acetylcholine on memory.* The Wang lab at the Max Plack Florida Institute for Neuroscience, and the Computational Neuroscience group at the Centre de Recerca Matemàtica (Barcelona, Spain) are looking for postdoctoral researchers for an experimental-theoretical collaboration to shed light on the role of acetylcholine (ACh) in the formation and long-term dynamics of memory in rodents. This collaborative project will combine large-scale two-photon imaging recordings of in-vivo neuronal and ACh dynamics (Wang lab), with computational modeling and analysis (Roxin group) to investigate the role of ACh in the emergence of internally generated sequences in hippocampal CA1 cells. We will furthermore track the long-term dynamics of the resulting patterns of neuronal activity to characterize the degree of representational drift and elucidate the underlying mechanisms through network modeling. *Call for Experimental Postdoctoral Researcher*: The experimental postdoctoral position will be based at the Max Planck Florida Institute for Neuroscience, in the laboratory of Yingxue Wang.The ideal candidates should have a background in neuroscience or related field, and are interested in understanding the neuronal mechanisms of learning and memory. Previous experience with electrophysiology and/or two-photon imaging in behaving animals, quantitative data analysis and computer programming is highly preferred. Excellent communication skills and the ability to work well in a team are required. The three year project will begin immediately. Max Planck Florida Institute for Neuroscience is part of the Jupiter Neuroscience Research Campus which also includes UF Scripps Biomedical Research and Florida Atlantic University. It provides a flourishing interdisciplinary research environment for neuroscience. We offer outstanding benefits and salary compensation above the NIH scales. Interested candidates are encouraged to contact Yingxue Wang at Yingxue.Wang(a)mpfi.org. *Call for Theoretical Postdoctoral Researcher*: The theoretical postdoctoral position will be based at the Centre de Recerca Matemàtica, located on the campus of the Universitat Autònoma de Barcelona, Bellaterra, Spain. The postdoctoral researcher will combine the analysis of experimental data from the Wang Lab with computational modeling in order to study the physiological and network mechanisms underlying memory formation and representational drift. This work will involve large-scale numerical simulation as well as network analysis using methods from dynamical systems theory and statistical physics. Strong coding and mathematical skills are a must. This is a three-year position which is expected to begin in early 2024. Interested candidates should contact Alex Roxin at alexander.roxin(a)gmail.com. This project is jointly funded by the National Institutes of Health (USA) and the Agencia Estatal de Investigación (Spain) in the framework of Collaborative Research in Computational Neuroscience program (CRCNS). As such, the experimental and theoretical teams will work closely together, including regular online meetings and an annual in-person meeting to be held alternatingly in Florida and Barcelona. The postdoctoral researchers will be expected to work in a collaborative fashion with members of both teams to ensure a unified research effort. -- Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) https://sites.google.com/site/alexanderroxin/home

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post-doc position, RL and Comp Neuro, Moreno-Bote and Jonsson Labs
by Ruben Moreno Bote Sept. 19, 2023

Sept. 19, 2023

*Post-doctoral position* *Reinforcement Learning and Computational Neuroscience, Moreno-Bote and Jonsson Labs* *University Pompeu Fabra, Barcelona, Spain* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab and the group of Artificial Intelligence and Machine Learning of Anders Jonsson. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background. The publication record of the candidate should be very strong in their respective discipline. The candidate will develop state of the art theory and models of RL inspired by computational neuroscience to understand natural behavior based on reward-free approaches. Related papers on the focus of the project are: [2205.10316] Seeking entropy: complex behavior from intrinsic motivation to occupy action-state path space (arxiv.org) <https://arxiv.org/abs/2205.10316> [2302.01098] A general Markov decision process formalism for action-state entropy-regularized reward maximization (arxiv.org) <https://arxiv.org/abs/2302.01098> 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. TCN lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by MdM and salary is competitive. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: until the position is filled STARTING DATE: any time between November 2023 and April 2024 -- Rubén Moreno Bote Serra Húnter Full 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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Post-doc in Paris (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard Sept. 18, 2023

Sept. 18, 2023

A 18-month postdoc position is opened at the Institute of Intelligent Systems and Robotics (ISIR, Sorbonne Université & CNRS). We are looking for a young and enthusiast researcher trained in computational neuroscience or neuro-robotics to develop a computational model of catatonia. It is based on a new theory and preliminary results obtained in the lab (Aubin et al., 2022), dealing with the study of alteration of dynamic regimes observed in models of cortico-baso-thalamo-cortical loops. Results obtained with a population model have to be reproduced and extended with a spiking model, as well as connected to motor control module so as to investigate the motor symptoms of catatonia. The position could start as soon as a candidate is found. The project builds on an ongoing collaboration between Benoît Girard (ISIR, computational neuroscience), David Cohen (ISIR and Pitié-Salpêtrière Hospital, clinical expertise) and Ghilès Mostafaoui (ETIS at Cergy-Pontoise Université, robotics and motor control) Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information. Aubin, L., Batailley, B., Raffin, M., Mostafaoui, G., Cohen, D. and Girard B. (2022) Exploration of the respective roles of cortex and basal ganglia in catatonia with a computational model. Poster presented at FENS2022 and NeuralNet2022. -- Benoît Girard, ISIR, Sorbonne Université/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Sept. 17, 2023

Sept. 17, 2023

Dear all, Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here:https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research… <https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…>

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Postdoctoral Position in Deep Learning/Computer Vision with a Focus on 2D Pose Estimation
by Majid Mohajerani Sept. 15, 2023

Sept. 15, 2023

Position Overview: The Mohajerani lab (https://douglas.research.mcgill.ca/majid-mohajerani/) at McGill University is seeking individuals with expertise and experience in video analysis to fill a postdoctoral position that will span three years, ideally starting in November-December 2023. The Postdoctoral position will be based in the vibrant city of Montreal, offering an exceptional quality of life with its rich cultural diversity, culinary delights, and dynamic arts scene. As part of this role, you will work at McGill University, known for its world-class research and academic excellence, providing an intellectually stimulating and inspiring environment for your career growth. The preferred candidate for this Postdoctoral opportunity should hold a Ph.D. in deep learning, computer vision, engineering, or a related field, along with a distinguished research track record. A solid foundation in machine learning, artificial intelligence, and data mining is essential. Proficiency in programming, analytical problem-solving skills, and strong organizational capabilities are prerequisites. Previous hands-on experience with deep neural networks is obligatory. We are searching for a dedicated researcher who thrives on tackling challenges and possesses expertise and enthusiasm for developing video analysis techniques utilizing deep learning methodologies. The recruited candidate will be responsible for conducting research within the PREMIERE project and for participating in the related Work Package activities. The successful candidate must possess a collaborative spirit, as this role involves cooperation with multiple institutions and investigators. Key qualifications: - Strong expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, or Keras). - Demonstrated expertise in applying Recurrent Neural Networks (RNNs), Transformers for temporal sequence analysis, or hybrid models such as Convolutional-LSTM architectures. - Experience in research and/or development for action recognition, body pose and motion estimation, multi-objects tracking, activity recognition, scene understanding, etc. - Expert knowledge of the principles, algorithms, and tools of deep learning, including models, training strategies, training dataset building, loss functions, quality metrics, etc. - Excellent communication and collaboration skills. 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. The application review will start on Oct 15th till the positions are filled. If you meet all the requirements, please fill out the following form. https://docs.google.com/forms/d/e/1FAIpQLSe6jDyhrjyE8nFVSokgn3vWpzEjfLhUi83…

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Tenure track faculty position Cognition and Cognitive Neuroscience Psychology at UMass Amherst
by Tejas Savalia Sept. 15, 2023

Sept. 15, 2023

Dear all, The Department of Psychological and Brain Sciences at the University of Massachusetts, Amherst (http://www.umass.edu/pbs/) is inviting applications for a tenure track, academic year, faculty position at the Assistant Professor level in its Cognition and Cognitive Neuroscience Psychology program, starting in Fall 2024. We are seeking outstanding applicants with expertise in any area of cognitive psychology or cognitive neuroscience, including interdisciplinary fields connected to cognitive psychology, whose work complements and broadens existing strengths in our program. We are known for interdisciplinary and cross-area collaborations and innovation. The program has current strengths in attention, decision-making, psycholinguistics, and mathematical modeling, with connections to our Behavioral Neuroscience, Clinical Psychology, Developmental Science, and Social Psychology programs. Across the university, our faculty have strong connections to Linguistics, Information and Computer Sciences, and Speech, Language, and Hearing Sciences, as well as the Initiative in Cognitive Science, the Computational and Social Science Institute, the Institute for Diversity Sciences, and the Institute for Applied Life Sciences. The Department is interested in candidates who have demonstrated the ability to contribute to the inclusive excellence and diversity mission of the department, college, and university in research, teaching, and/or outreach. Requirements - Applicants must have a Ph.D. in Cognitive Psychology or a closely related field at the time of appointment. - A developing record of demonstrated excellence in research consistent with an early career stage. - Strong methodological skills and a theoretically-based research program. - Demonstrated ability or strong promise of extramural funding. - A strong commitment to undergraduate education, graduate training and mentoring, and diversity and inclusion. About UMass Amherst UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region. Application Instructions Along with the application, please submit a cover letter, curriculum vitae, statement of research interests, statement of teaching philosophy, statement of contributions and future plans to diversity, equity and inclusion (see below), samples of representative research papers, and contact information for three (3) professional references. We will begin to review applications on October 1, 2023, and will continue to accept applications until the position is filled. Please submit materials online to: http://careers.massachusetts.edu/cw/en-us/job/520191?lApplicationSubSourceI… As part of our commitment to supporting our multicultural community, we seek an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations. The statement of contributions to diversity, equity, and inclusion should identify past experiences and future goals. These contributions may result from lived experiences, scholarships, and/or mentoring, teaching, and outreach activities. (https://www.cns.umass.edu/diversity-equity-inclusion) The University is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University’s goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual’s record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic career and degree. Best, Tejas Savalia

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Fwd: CFP: UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine Sept. 15, 2023

Sept. 15, 2023

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon's reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules. Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. *Check our Call For Papers <https://unireps.org/call-for-papers/> below. * *For any additional information check our website <https://unireps.org/>, Twitter profile <https://twitter.com/unireps>, Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>, or contact us at unireps.organizers(a)gmail.com <unireps.organizers(a)gmail.com>.* Call For Papers Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. Topics A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs Important Dates - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 Tracks Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop. Paper FormatThe full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>.

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Postdoc on Dravet syndrome modeling (Inria, BCAM, Achucarro)
by desroche Sept. 15, 2023

Sept. 15, 2023

Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo, Pierre Del Moral, Mathieu Desroches and Serafim Rodrigues. The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://jobs.inria.fr/public/classic/en/offres/2023-06688 Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Centre Inria d'Université Côte d'Azur, France https://www-sop.inria.fr/members/Mathieu.Desroches/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Sept. 15, 2023

Sept. 15, 2023

Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here: https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) Sept. 14, 2023

Sept. 14, 2023

We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren Sept. 14, 2023

Sept. 14, 2023

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings. In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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[jobs] 3.5-year PhD Scholarship in Human-like performance in neuromorphic robots
by Di Nuovo, Alessandro Sept. 14, 2023

Sept. 14, 2023

All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> About the Project This scholarship is to support the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition, and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. This PhD project will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. Background Humans can learn faster with less data by reducing surprise or uncertainty by making predictions based on internal models. Indeed, neurophysiology and developmental psychology increasingly highlight the embodied nature of intelligence, which is shaped the experiences acquired through the body, such as manipulatives, gestures, and movements. To overcome the current limitations, the research methodology will adopt the developmental neuromorphic approach with cognitive agents that are embodied in humanoid robotic platforms. Developmental robotics fundamentally differs from traditional machine learning as it targets task-independent self-determined learning via interaction with the environment rather than task-specific inference over selected, human-edited sensory data. It also differs from traditional cognitive robotics because it focuses on the processes that allow the formation of cognitive capabilities rather than these capabilities themselves. Neuromorphic computing investigates large-scale processing systems that support natural neuronal computations through spike-driven communication to imitate the efficient neuro-synaptic framework of the physical brain. Compared to traditional approaches, key advantages of neuromorphic computing are energy efficiency, execution speed and robustness against local failures. Eligibility Candidates should have (or expect to obtain before the start of the PhD) a minimum of an upper second-class honours degree (2.1) or equivalent in Computer Science, Neuroscience, or a closely related subject. To be eligible for a waiver of the international fees, candidates should have a strong Master's degree and/or scientific publications on the subject of the research project. For further details on entry requirements, please click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> How to apply All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. We strongly recommend you contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. Start date for studentship: February 2024 Interviews are scheduled for: TBC

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looking for a postdoc on modeling / optimization of brain stimulation
by Dana Brooks Sept. 14, 2023

Sept. 14, 2023

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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Faculty postion at Harvard bridging computational neuroscience and AI
by Blum, Kenneth I. Sept. 13, 2023

Sept. 13, 2023

The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member working across the fields of computational neuroscience and a machine learning approach to AI. Please forward this information to any interested candidates. Applications should be submitted to this site: https://academicpositions.harvard.edu/postings/12751. ***** HARVARD UNIVERSITY CENTER FOR BRAIN SCIENCE and KEMPNER INSTITUTE FACULTY POSITION The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member to lead an innovative research program working across the fields of Computational Neuroscience and Machine Learning to discover how brain computation can benefit artificial systems and how principles of computation and learning in artificial systems can be used to understand the brain. Current faculty use a variety of approaches to learn how brains compute and govern cognition and behavior. The successful candidate will be appointed an Institute Investigator within the Kempner Institute and will hold an academic appointment in an appropriate department in the life or physical sciences in the Faculty of Arts and Sciences at Harvard University. A full list of potential departments can be found here: science.fas.harvard.edu/pages/about<https://science.fas.harvard.edu/pages/about>. CBS (cbs.fas.harvard.edu<https://cbs.fas.harvard.edu/>) fosters interactions across disciplinary boundaries—faculty from several academic departments have neighboring labs and share common research facilities and meeting space; its connections also reach out across the University. The Kempner Institute (harvard.edu/kempner-institute<https://www.harvard.edu/kempner-institute/>) is building a community of scholars, who work across boundaries and fields to advance our understanding of intelligence, broadly speaking. Investigators will join a dynamic community of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives. A doctoral degree in the life and physical sciences, or a related discipline is required by the time the appointment begins. Candidates should have demonstrated excellence in both research and teaching. A strong doctoral record is required and postdoctoral experience preferred. Teaching will include offerings at both undergraduate and graduate levels. To apply, please use this link to submit a cover letter; curriculum vitae; three-page research statement; statement of teaching and advising philosophy; statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas; and up to three publications: https://academicpositions.harvard.edu/postings/12751. Please also submit contact information, including email addresses, for 3-5 people who will be asked by a system-generated email to upload a letter of recommendation once the candidate’s application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received. At least one letter must come from someone who has not served as the candidate’s undergraduate, graduate, or postdoctoral advisor. We will begin considering applications as they are received, but all materials, including letters of reference, should be submitted by October 15, 2023. Note that there are three additional faculty searches ongoing currently with the Kempner Institute at Harvard University. One is in partnership with Psychology, another with Computer Science, and a third with Applied Mathematics. If applying to more than one, please read the search criteria carefully. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines. We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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Open faculty position in "cognition" at the University of Rochester
by Jacobs, Robert Sept. 13, 2023

Sept. 13, 2023

See the job ad below for an open faculty position in "cognition" at the University of Rochester. People interested in computational modeling are strongly encouraged to apply. Tenure-track Assistant Professor in Human or Animal Cognition The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Animal or Human Cognition. Appointment will be at the tenure-track Assistant Professor level. We particularly welcome applications from candidates researching cognition through non-invasive behavioral, computational or neuroimaging methods. Animal researchers may be either field or laboratory based. Areas of study may center on any aspect of cognition, with an emphasis on higher-level cognitive processes such as decision-making, learning and memory, concepts, communication and language, reasoning, metacognition, and collective cognition. Successful candidates will develop a research program that establishes novel collaborations within the department and across the university, and will also be part of a university–wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/<http://www.bcs.rochester.edu/index.html>). It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, comparative cognition, psychology, neuroscience, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement of commitment to advancing equity and fostering an inclusive and diverse community, including past work and future goals, and contact information of three referees via the following website: https://www.rochester.edu/faculty-recruiting/positions/show/16192 . Questions concerning this position can be addressed to Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the search committee, or Prof, Duje Tadin (dtadin(a)ur.rochester.edu<mailto:dtadin@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Review of applications will begin on November 6, 2023 and continue until the position is filled. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. Salary: $105,000 – $110,000 (9 month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. EOE / Minorities / Females / Protected Veterans / Disabled

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI
by Di Nuovo, Alessandro Sept. 13, 2023

Sept. 13, 2023

Sheffield Hallam University is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. SHU unit will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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2 year Post Doc position @University of Padova - LIPh group - Dr. Michele Allegra
by Samir Suweis Sept. 13, 2023

Sept. 13, 2023

We are looking for a strongly motivated young scholar for a two-year Post-doctoral position at the Physics Department, University of Padova within the LIPh Lab https://www.liphlab.com/. The post-doc will work with Dr. Michele Allegra, but also in close contact with Prof. Dal Maschio’s Lab (Department of Biomedical Sciences, Unipd) and in collaboration with Dr. Pietro Rotondo (Department of Mathematical, Physical and Information Sciences, University of Parma). The post-doc will combine data analysis and modeling to investigate low-dimensional manifolds in neural activity, comparing real data from zebrafish and computational models based on artificial neural networks (a more detailed description of the project is provided below). The position will be fully funded by the National Interest Research Project (PRIN) “Unveiling the role of low dimensional activity manifolds in biological and artificial neural networks”, which also includes funding for traveling. Candidates should have a PhD in Physics, Computational Neuroscience or a related subject. Advanced computational skills (including solid experience with Matlab or Python programming) and data analysis experience are mandatory. Previous experience with neural data is highly welcome. Starting date: as soon as possible. For further info: Michele Allegra <michele.allegra(a)unipd.it> ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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