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PhD positions in Applied Mathematics/Computational Neuroscience at Georgia State University

by Yaroslav Molkov

The group of Dr. Yaroslav Molkov invites applications for two PhD positions in Applied Mathematics in the field of theoretical neuroscience at the Department of Mathematics and Statistics, Georgia State University. Research interests of the group include neural control of breathing and locomotion, motor learning, neurodegenerative disorders and other topics. See https://math.gsu.edu/ymolkov/ for recent publications. The positions come with competitive stipends. Please apply at https://gradapply.gsu.edu/apply/. Email me to ymolkov(a)gsu.edu if you have any questions.

Nov. 8, 2023

CFP FRCCS 2024 Montpellier, France May 29 – 31, 2024

by Amira Mouakher

Fourth*F*rench*R*egional*C*onference**on*C*omplex*S*ystems** May 29 – 31, 2024 Montpellier, France *FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/>** After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France <https://www.cssfrance.org/>serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome.Two types of contributions are accepted: ●*Papers*about *original research* (up to 12 pages) ●*Extended Abstract*about published or unpublished research (3 to 4 pages). *Keynote Speakers* ** ●Ingmar Weber <https://ingmarweber.de/>, Saarland University ●Sonia Kéfi <https://biodicee.edu.umontpellier.fr/who-we-are/sonia-kefi/>, Université de Montpellier ●Petter Holme <https://petterhol.me/>, Aalto University ●Bolek Szymanski <https://www.cs.rpi.edu/~szymansk/>, Rensselaer Polytechnic Institute** *Publication* * Contributions will be included in the conference proceedings (With ISBN) * *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* oApplied Network Science, <https://appliednetsci.springeropen.com/>edited by Springer oComplexity, <https://www.hindawi.com/journals/complexity/?utm_source=google&utm_medium=c…>edited by Hindawi ** *Topics include, but are not limited to: * ●*Foundations of complex systems * oSelf-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals ●*Complex Networks * oStructure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. ●*Neuroscience, Linguistics* oEvolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity ●*Economics & Finance* oGame Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment ●*Infrastructure, planning, and environment * ocritical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences ●*Biological and (bio)medical complexity * obiological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging ●*Social complexity* osocial networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation ●*Socio-Ecological Systems* oGlobal environmental change, green growth, sustainability & resilience, and culture ●*Organisms and populations * oPopulation biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution ●*Engineering systems and systems of systems*** obioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology ●*Complexity in physics and chemistry* oquantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* ** Roberto Interdonato <https://www.robertointerdonato.eu/>, CIRAD, UMR TETIS, Montpellier Bruno Pinaud <https://www.irif.fr/~greta/author/bruno-pinaud/>, LABRI University of Bordeaux** **

Nov. 7, 2023

Postdoc position in Computational Neuroscience, RIKEN Center for Brain Science

by Taro Toyoizumi

Two postdoc positions are available at RIKEN Center for Brain Science, Japan, to work with Taro Toyoizumi on Computational/Theoretical Neuroscience. Our research is within the field of Computational Neuroscience. We utilize computer models to explore how information is processed in the brain and how the brain circuits adapt to the environment. Drawing on analytical techniques from statistical physics and information theory, we probe the key functional properties of neural circuits. We apply these techniques to distill diverse experimental findings into a few core concepts. We hold a particular interest in activity-dependent forms of plasticity in the brain, which exert significant influences on learning, memory, and development. Leveraging mathematical models, we aim to formulate a theory that bridges cellular-level plasticity rules and computation. The capacity of neurons to represent and retain information is gauged from the structure and behavior of resulting circuits. For additional details, refer to the lab’s webpage. https://toyoizumilab.riken.jp/ Details about the positions and the application procedure are described here: https://cbs.riken.jp/en/careers/20231102_w23191_t.toyoizumi_r.html https://cbs.riken.jp/en/careers/20231102_w23192_t.toyoizumi_r.html --- Taro Toyoizumi, Ph.D. Team Leader, RIKEN Center for Brain Science Laboratory for Neural Computation and Adaptation 2-1 Hirosawa, Wako, Saitama 351-0198, Japan https://toyoizumilab.riken.jp/

Nov. 7, 2023

Postdoc position in comp. neuroscience at the Kavli Institute for Systems Neuroscience, Trondheim

by Soledad Gonzalo Cogno

Dear all, My lab has an opening for a postdoc position. * The position is at the Kavli Institute for Systems Neuroscience (KISN, https://www.ntnu.edu/kavli) at the Norwegian University of Science and Technology (NTNU). The Centre for Algorithms in the Cortex is based at the KISN (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) and is a recently established centre of excellence funded for 10 years by the Research Council of Norway. We offer an international and multidisciplinary environment. * The position will be part of my group, and the project is in collaboration with the Moser lab (KISN). The position will be for 2 years. * The successful candidate will combine the analysis of large-scale neural population recordings obtained with Neuropixels probes (the data will be collected by other team members) with the development of computational models. * For more information and details about how to apply please see: https://www.jobbnorge.no/en/available-jobs/job/249793/postdoctoral-fellow * Deadline: December 1st. Finally, I will be at SfN, so if anyone wants to have a chat about the position, please let me know. Best, Soledad --- Soledad Gonzalo Cogno, PhD Group Leader Kavli Institute for Systems Neuroscience Olav Kyrres gate 9 7030 Trondheim, Norway

Nov. 6, 2023

TR: Master Internship

by DEPANNEMAECKER Damien

Hi, Could you distribute this announcement to your students? Thanks a lot! We are seeking 3 master's students to systematically evaluate Virtual Epilepsy Patients (VEP). The VEP workflow employs computational models and machine learning techniques to estimate epileptogenic networks and assist in surgical strategies. In this context, the computational models are personalized whole-brain network models based on the patient's recorded data. VEP represents the first well-established instance of applying the concept of virtual brain twins in a clinical trial, called Epinov. Our team is a world leader in advancing the concept of virtual brain twins. Three topics: 1. Systematic investigation of the sensitivity of the VEP in terms of electrode locations. 2. Systematic investigation of the robustness of the VEP in terms of data features. 3. Systematic investigation of the robustness of the VEP in terms of the size of the windows of seizure analysis. About the ideal candidates: * A strong grasp of mathematics, physics, neuroscience, and computer science, or a genuine enthusiasm for cultivating these skills, is essential. * The ability to quickly acquire proficiency in new computational tools is important, and we will offer comprehensive guidance to support your learning. * Proficiency in coding is a fundamental skill. * Ideally, you are a Master 2 student and would like to complete your 6-month internship in our laboratory. * An added advantage would be a strong motivation to pursue a career in scientific research and aspire to become a Ph.D. candidate. What you will gain at the end of the training (internship): 1. You will have a clear understanding of the concept of virtual brain twins and how to use personalized modeling for clinical applications. 2. You will acquire knowledge of computational modeling. 3. You will become familiar with the various multidisciplinary approaches and perspectives in mathematics, physics, neuroscience, computer science, and medicine. 4. You will develop the ability to conduct systematic analysis. 5. You will be proficient in using VEP pipelines, which integrate numerous analysis and data preprocessing tools and models, and you will also gain the capability to add additional modules. To apply, please send your CV with 2 reference letters and a cover letter to: Huifang Wang, huyfang.wang(a)univ-amu.fr<mailto:huyfang.wang@univ-amu.fr> and Damien Depannemaecker, damien.depannemaecker(a)univ-amu.fr<mailto:damien.DEPANNEMAECKER@univ-amu.fr>

Nov. 3, 2023

NEXTEN Conference

by Goodhill, Geoffrey

NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024 Washington University in St Louis nexten.wustl.edu Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Adam Kepecs (WashU) Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) Abstract submissions for posters are encouraged, and some of these will be selected for short talks. Some travel awards will be available for qualified trainees. The conference is sponsored by the Center for Theoretical and Computational Neuroscience at Washington University in St Louis (ctcn.wustl.edu) It will be held in the new 600,000 sq ft Neuroscience Research Building on the WashU Medical School campus, into which ~100 neuroscience labs have recently moved. The deadline for registration and abstract submission is Wednesday, February 28, 2024. However, due to the size of the auditorium total registrations are limited to 150, and so registration may close earlier than Feb 28 if this limit is reached. Registration and abstract submission will open in January 2024. Please direct any questions to ctcn(a)wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Nov. 3, 2023

Pre- or post-doc position available at the Austrian Academy of Sciences in Vienna

by Robert Baumgartner

Dear colleagues, I am currently looking for an enthusiastic researcher to join a highly interdisciplinary team investigating „Dynamic Auditory Predictions in Human and Non-human Primates (Dynamates <https://www.oeaw.ac.at/en/ari/dynamates>)". The project rests on a strong collaboration between cognitive neuroscience, cognitive biology, and computational modeling. The candidate’s main task will be to perform cutting-edge model-based analyses of neurobehavioural data (psychophysics + EEG + eyetracking) that we already collected. The position is to be filled for one year and is available immediately, but open until a suitable candidate is found (1st round of evaluation will start on Nov 22). For pre-doc applications, all details can be found here: https://www.oeaw.ac.at/en/ari/ari/about-ari/news-1/project-scientist-positi… For post-doc applications, follow this link instead: https://www.oeaw.ac.at/en/ari/ari/about-ari/news-1/postdoc-position-f-m-x-f… Please distribute and don’t hesitate to contact me if you have any questions about this position! Very best, Robert — Robert Baumgartner, PhD Senior Research Associate Auditory Cognitive Neuroscience Institut für Schallforschung | Acoustics Research Institute Österreichische Akademie der Wissenschaften | Austrian Academy of Sciences Wohllebengasse 12-14, 1040 Wien, Österreich | Vienna, Austria

Nov. 3, 2023

Faculty opening in Georgia Tech ECE

by Rozell, Christopher J

Hello Comp Neuro! Please share this widely. Georgia Tech’s School of Electrical and Computer engineering (ECE) is hiring faculty in bioengineering with a preference for candidates aligned with an emerging institute for neuroscience, neurotech and society: https://b.gatech.edu/3QIvgnZ. Application review starts Dec 15. The job ad is here: https://bit.ly/3QIUaU8 Even if you're not a traditional ECE, consider applying if you work in topics such as neuroengineering or computational neuroscience. The search is open to all areas, including biosensing, bioelectronic interfacing, imaging, biomedical data analysis and computational modeling. The neuro community in ATL is incredible, combining cutting edge interdisciplinary research with a highly collaborative and friendly culture. There’s a particularly strong computational neuroscience community here. GT is making major investments in growing neuro, and plans to launch a novel PhD program in Neuroscience & Neurotechnology next year. ECE at GT has a long history of applying engineering principles to biotech problems. Faculty share strong collaborations with colleagues developing cutting edge foundational technologies and local clinical partners (e.g., Schools of Medicine at Emory University and Morehouse). Overall, I love working at GT (and especially ECE). Local colleagues are friendly and helpful. GT is ambitious, growing and supportive. Collaboration opportunities are abundant. And the technical expertise is top shelf....there are local experts in any area you need. I also love living in ATL. It is a diverse and vibrant city full of distinct neighborhoods. It's affordable and an easy travel hub. It's a green city that's great for outdoor activity. The food and arts culture is quite good. The weather is temperate much of the year. Come be my colleague! I'm happy to answer any questions. Share with anyone who might be interested. Regards, chris

Nov. 2, 2023

Postdoctoral Research Position at the Australian National University

by Michael McCullough

Jubilee Joint Associate (Postdoctoral Research Fellow) in Computational Neuroscience and AI @ The Australian National University To apply visit: https://jobs.anu.edu.au/jobs/jubilee-joint-associate-postdoctoral-research-… The John Curtin School of Medical Research and the School of Computing at the Australian National University are seeking a Postdoctoral Research Fellow for joint appointment of up to 3 years to work in the areas of computational neuroscience and artificial intelligence. The successful candidate will hold the title of Jubilee Joint Associate and work under the supervision of Jubilee Joint Fellow Dr Michael McCullough in the Computational Neuroscience Group within the Eccles Institute of Neuroscience and Computational Science Cluster within the School of Computing. The Jubilee Joint Associate will undertake independent research within one or more of the following themes: * Topological structures and dynamics of brain activity on neural manifolds. * Network neuroscience and the brain as a complex system. * Computational ethology and modelling behavioural sequences. This is an exciting opportunity to start building research independence, work at the interface of two rapidly evolving fields, and collaborate with leading experts in neuroscience, biomedicine and computer science. For further information, please contact Dr Michael McCullough at michael.mccullough(a)anu.edu.au About You Our ideal candidate will have completed a PhD (or is expecting to be awarded a PhD within six months of appointment commencement) in computational neuroscience, computer science, mathematics, physics, or equivalent qualifications and experience in a related area. Applicants should have an emerging track record of research in the fields of computational neuroscience, artificial intelligence, computational biology or complex systems as evidenced by peer-reviewed publications and conference presentations. Experience in student supervision and mentoring is desirable but not essential. About the John Curtin School of Medical Research The John Curtin School of Medical Research is a leading centre of medical research in Australia. Researchers have a tradition of excellence in addressing the world’s most pressing biomedical issues. The Eccles Institute of Neuroscience is an internationally recognised research institute based in the John Curtin School of Medical Research dedicated to understanding the brain and nervous system. The Institute is home to a diverse community of independent research groups, with a focus on cellular and synaptic physiology, sensory physiology, retina, and muscle. About the School of Computing The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources Applicant Information In order to apply for this role you will need to upload the following documents via the ANU Jobs portal with your application: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. A statement addressing the selection criteria. A 1-2 page statement outlining a proposed research project. --- Michael H McCullough, PhD [he/him/his] Jubilee Joint Fellow School of Computing & Eccles Institute of Neuroscience, John Curtin School of Medical Research The Australian National University Canberra ACT 2600

Nov. 1, 2023

MindCORE Fellow applications at Penn due Dec. 3

by Maria Geffen

MindCORE Research Fellowship for Postdoctoral Scholars MindCORE <https://mindcore.sas.upenn.edu/> (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Postdoctoral Fellowship. Housed within the School of Arts & Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior. Designed for individuals who have recently obtained a PhD degree in neuroscience, psychology, linguistics, philosophy, computer science, or other cognitive science discipline, the MindCORE Fellowship is a springboard for early researchers as they establish their own research program. Fellows are expected to pursue collaborative relationships with faculty working across disciplines at Penn, including faculty in computational neuroscience <https://cni.upenn.edu/people>. These collaborations may take different forms from engaging in research projects with multiple faculty independently, to generating new collaborative research that brings multiple faculty together, to contributing to interdisciplinary discussion and reading groups. Find a list of current and former MindCORE Fellows here <https://mindcore.sas.upenn.edu/people/>. MindCORE awards ~2 postdoctoral Fellowships per year. Positions may start as early as July 1, 2023. Benefits Fellows receive a competitive salary, relocation allowance, health insurance, plus a $20,000 research budget. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one-year terms renewable for up to three years. This is campus-based (not remote) position. Eligibility & Application · Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment. Penn has a five-year term limit for postdocs, so candidates ideally have 0-2 years of previous postdoc time. · Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn(https://mindcore.sas.upenn.edu/people/faculty-and-associates/ <https://mindcore.sas.upenn.edu/people/faculty-and-associates/>) with whom the applicant would be interested in collaborating, along with a CV, contact information for two referees, and a cover letter with a 1-2 paragraph diversity statement that includes past experiences and activities, and future plans to advance diversity, equity, and inclusion at Penn. Applicants should be mindful of the interdisciplinary backgrounds of the reviewers and make the proposals clear to readers. · Application documents should be saved with candidate’s Lastname_Firstname.pdf in one PDF file in this order: cover letter, research statement, CV, referees (name, affiliation, email address). Complete applications should be submitted through the form on our website:https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowshi… <https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/>. Questions not answered on our FAQ <https://urldefense.com/v3/__https:/bpb-us-w2.wpmucdn.com/web.sas.upenn.edu/…>, can be emailed to pennmindcore(a)sas.upenn.edu <mailto:pennmindcore@sas.upenn.edu>. · Applications due December 3, 2023. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: · Scientific excellence · Potential to contribute to or lead within diverse community · Scientific match and interdisciplinarity · Career potential ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Nov. 1, 2023

Tenure-track position at UT Austin

by Weatherly, Christopher J

The Department of Neuroscience<https://neuroscience.utexas.edu/> at The University of Texas at Austin invites applications for a tenure-track faculty position at the rank of Assistant Professor. We seek outstanding candidates with innovative research proposals in all areas of neuroscience to build upon existing strengths in the fields of learning and memory, computational and theoretical neuroscience, cellular and sensory systems, addiction, developmental neuroscience, biophysics, and synaptic plasticity. This position comprises a highly competitive salary and start-up funds. We expect new faculty to develop and maintain an ambitious research program within a vibrant and collegial academic environment. The department values candidates who have demonstrated a commitment to student and trainee mentorship. Ranked among the top ten public universities and the flagship campus of The University of Texas System, UT Austin is distinguished by a world-class faculty engaged in highly collaborative and interdisciplinary research among programs in Neuroscience, Psychology, Computer Science, Statistics, Mathematics, Engineering, Physics, Chemistry, and Molecular Biosciences. Close ties with the new Dell Medical School provide additional opportunities for collaboration with translational researchers in Neurology, Neurosurgery, and Psychiatry. Full job posting: https://faculty.utexas.edu/career/122847 --- Christopher Weatherly Executive Assistant to Robert Messing, MD Department of Neuroscience - The University of Texas at Austin

Oct. 31, 2023

Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023

by Hocine Cherifi

*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/ *See the detailed program at :* https://complexnetworks.org/program/ *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/>

Oct. 31, 2023

Correction: faculty positions in Comp. Neuro & in Complex Systems at UC Davis

by Mark Steven Goldman

Thanks to the community for identifying the website error for the 2 faculty positions at UC Davis (and apologies to those receiving this extra email). The corrected application sites are below: Cognitive Computational Neuroscience: https://recruit.ucdavis.edu/JPF06093 Physics of Complex Systems: https://recruit.ucdavis.edu/JPF06057 Best regards, Mark Goldman

Oct. 31, 2023

NSG Workshop at SfN2023: Neuroscience Gateway (NSG) - Software Dissemination, Large Scale Modeling, Data Analysis on Supercomputers Satellite Workshop - 2023 Society for Neuroscience Annual Meeting

by Majumdar, Amitava

Please join us at the workshop titled: "Neuroscience Gateway - Software Dissemination, Large-Scale Neuronal Modeling, Data Processing on Supercomputers", at SfN2023. Workshop date/time: November 11, 2023; 8:30am - 12:30pm Location: George Washington University, B1220, Science and Engineering Hall, 800 22nd St NW, D.C. https://www.seas.gwu.edu/science-and-engineering-hall There is no charge to attend the workshop but given the limited space, we are requiring interested attendees to please register. Full agenda, with title of talks, speakers, abstracts etc. and link to the registration page is here: https://www.nsgportal.org/SfN2023_NSGWksAgendaWLogo.htm List of talks and speakers: Title: Human Neocortical Neurosolver: A Software Tool for Cell and Circuit Level Interpretation of MEG/EEG signals Stephanie Jones, Nicholas Tolley, Dept of Neuroscience, Brown University Title: NIH BRAIN Initiative (Part I): The convergence of modeling and data science in the NIH BRAIN Initiative Grace C.Y. Penga, Susan N. Wrightb, Hermon Gebrehiwetc NIH BRAIN Initiative (aNational Institute of Biomedical Imaging and Bioengineering (NIBIB), bNational Institute on Drug Abuse (NIDA), c National Institute of Neurological Disorders and Stroke (NINDS) Title: NIH BRAIN Initiative (Part II): Data science across the NIH BRAIN initiative brain circuits projects Manuel Schottdorf1, Guoqiang Yu2, Edgar Y. Walker3 NIH U19 Data Science Consortium (1Princeton, 2Virginia Tech, 3University of Washington) Title: Modeling the development of the visual system: computational challenges vs high-performance computing Ruben A Tikidji-Hamburyan and Matthew T. Colonnese, Department of Pharmacology and Physiology, The George Washington University, Washington D.C., United States Title: NIC: An integrated neuroinformatics tool for studying brain interaction dynamics in neurological disorders Authors: Katrina Prantzalos1, Dipak Upadhaya1, Shafiabadi N1, Gurski N1, Fernandez-BacaVaca G1, Yoshimoto K2, Sivagnanam S2, Majumdar A2, Sahoo SS1 1Case Western Reserve University, University Hospitals Cleveland Medical Center; 2San Diego Supercomputing Center/University of California San Diego Title: Whole brain connectome models mapping brain structure to function to study lifespan ageing and neurological diseases Arpan Banerjee1, Suman Saha1, Samuel Berkins1, Anagh Pathak1, Neeraj Kumar1, Priyanka Chakraborty1, Varun Madan Mohan1, Anirudh Vattikonda1, Amit Naskar1, Dipanjan Roy1,2 1. National Brain Research Centre, NH 8 Manesar, Gurugram 122052, India 2. Indian Institute of Technology Jodhpur, NH 62, Jodhpur, India Title: The role of computational models in experimental research: predictive vs. explanatory power Sherif M. Elbasiouny1,2 and Mohamed H. Mousa1 1Department of Neuroscience, Cell Biology, and Physiology, Boonshoft School of Medicine and College of Science and Mathematics Wright State University, Dayton, OH, United States 2Department of Biomedical, Industrial, and Human Factors Engineering, College of Engineering and Computer Science Wright State University, Dayton, OH, United States Best regards. Workshop Organizers Amit Majumdar, Subha Sivagnanam, Kenneth Yoshimoto, University of California San Diego Ted Carnevale, Yale University

Oct. 31, 2023

SNUFA 2023 program now online

by Friedemann Zenke

Dear all, The SNUFA 2023 workshop program is now online (https://snufa.net/2023/) Like every year, we look forward to two afternoons packed with "spiking networks as universal function approximators." Date and time: Tue, 7 Nov 2023 15:00 - Wed, 8 Nov 2023 18:30 CET Location: online Details: https://snufa.net/2023/ Register (for free) for the online event: https://www.eventbrite.co.uk/e/snufa-2023-tickets-675972952297 Program: November 7th (Times in CET) 14:00 Welcome by the organizers Session 1 (Chair: Charlotte Frenkel) 14:10 Rodolphe Sepulchre, KU Leuven and University of Cambridge (invited) 14:55 Veronika Koren -- Efficient computing of high-dimensional neural representations with biologically plausible E-I spiking networks 15:15 Alessio Quaresima, Hartmut Fitz, Renato Duarte, Peter Hagoort, Karl Magnus Petersson -- Dendrites support formation and reactivation of sequential memories through Hebbian plasticity 15:35 Break (30mins) Session 2 (Chair: Friedemann Zenke) 16:05 Gabriel Ocker, Boston University (invited) 16:50 Maayan Levy & Tim P. Vogels -- Capacity of a spiking network with preserved weight distribution: a game-theory-inspired study 17:10 Flash talks by selected poster presenters 17:30 Break (30mins) 18:00 Poster session (Zoom) November 8th (Times in CET) 14:00 Welcome to day two Session 3 (Chair: Dan Goodman) 14:05 Melika Payvand, INI, Zurich (invited) 14:50 Ilyass Hammouamri -- Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings 15:10 Justus Huebotter, Pablo Lanillos, Serge Thill, Marcel van Gerven -- Training Spiking Neural Networks for Continuous Control with Surrogate Gradients 15:30 Break (30mins) Session 4 (Chair: Emre Neftci) 16:00 Jeff Krichmar, UC Irvine (invited) 16:45 Alexander Efremov, Martino Sorbaro, Pau Vilimelis Aceituno, Benjamin Grewe -- Training fast spiking networks through STDP and control feedback 17:05 Antony W. N’dri, Céline Teulière and Jochen Triesch -- Combining various types of spike timing-dependent plasticity to learn efficient neural codes 17:25 Closing remarks Best wishes from your friendly organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke

Oct. 30, 2023

faculty position in Physics of Complex Systems at UC Davis (Applications due Nov. 27)

by Mark Steven Goldman

We are pleased to announce a faculty position in the Physics of Complex Systems, to reside within the UC Davis Department of Physics. The position will focus on discovering physical principles and developing computational models and theoretical methods to predict the behavior and organization of a broad range of complex systems. Computational/theoretical neuroscience is an area of strong interest, and will complement the 6 current computational/theoretical neuroscience faculty at UC Davis, as well as two separate hires going on this year in Computational Cognitive Neuroscience. The application deadline (strict!) is Monday, November 27. More information is provided in the advertisement below: Physics of Complex Systems posting: https://recruit.ucdavis.edu/JPF05981 Guidelines for writing a statement of contributions to diversity, equity, and inclusion can be found here: https://academicaffairs.ucdavis.edu/guidelines-writing-diversity-statement We look forward to your applications, Mark Goldman

Oct. 28, 2023

faculty position in Computational Cognitive Neuroscience at UC Davis (Applications due Nov. 16)

by Mark Steven Goldman

We are pleased to announce a faculty position in Computational Cognitive Neuroscience, to reside at our interdisciplinary Center for Neuroscience. This hire continues our major expansion in Computational Neuroscience, with the hire joining the 6 current computational/theoretical neuroscience faculty at UC Davis, as well as a second hire going on this year in the same area. The application deadline (strict!) is Thursday, November 16. More information is provided in the advertisement below: Cognitive Computational Neuroscience posting: https://recruit.ucdavis.edu/JPF05981 We look forward to your applications, Mark Goldman Randy O'Reilly Rishi Chaudhuri Sergey Stavisky

Oct. 28, 2023

Postdoctoral position in computational neuroscience methods (NEURON simulator)

by McDougal, Robert

The McDougal lab at Yale University seeks one or two highly motivated Postdoctoral Associates to advance the frontiers of neuroscience simulation. In addition to papers, etc, this work will be shared with the community in the form of enhancements to the NEURON<https://nrn.readthedocs.io/> simulator. Related lab projects include: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs, initialization, performance enhancements). The Postdoctoral Associate will lead one or more of these projects and will present this work at conferences, in publications, and in the form of open-source software. Mentorship and career development opportunities will be tailored to the Postdoctoral Associate’s interests. Applicants should hold or be about to complete a PhD in a quantitative field (e.g., mathematics, computer science), neuroscience, or a related field. Strong programming skills in Python and C++ are essential, as is scientific excellence as demonstrated through publication history. Experience with the NEURON<https://nrn.readthedocs.io/> simulator, in machine learning, numerical methods, and/or GPU computing is desirable, but not required. The successful candidate will join the McDougal lab (Biostatistics/Health Informatics, Computational Biology and Bioinformatics, Wu Tsai Institute, Biomedical Informatics and Data Science). We are major contributors to the development of the NEURON simulator and run the ModelDB<https://modeldb.science/> model discovery platform. We additionally have a wide-range of collaborations at Yale and beyond, applying informatics methods to solve biomedical challenges. Please apply online: http://apply.interfolio.com/135170<https://apply.interfolio.com/135170>. Interested individuals should submit a CV, cover letter, and contact information for three professional references. Review of applications will begin immediately and will continue until the position is filled. Initial appointment is for one year with the possibility of renewal. Questions regarding this position should be directed to Dr. Robert McDougal at: robert.mcdougal(a)yale.edu<mailto:robert.mcdougal@yale.edu> Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

Oct. 27, 2023

[Job] Brown University – Tenure-Track Position in Neuroscience

by Theresa Desrochers

Dear colleagues, Please see the below ad for a Tenure Track position in the Department of Neuroscience at Brown University and feel free to distribute. Thank you. Brown University – Tenure-Track Position in Neuroscience The Department of Neuroscience at Brown University invites applications from rising neuroscientists for a tenure-track Assistant Professor position. Applicants should have a Ph.D. and/or M.D., postdoctoral experience, and a record of research excellence. We are particularly interested in candidates who share our commitment to increasing diversity and inclusion in neuroscience. Applicants working in all areas of neuroscience, including non-human primate studies, are encouraged to apply. The successful applicants will establish a vibrant research program and participate in the education of undergraduate, graduate, and/or medical students. The Department (http://neuroscience.brown.edu <http://neuroscience.brown.edu/>) excels in research and teaching across the full spectrum of contemporary neuroscience through its shared values: innovation, collaboration, equity in STEM, and committed mentorship. The department is in the Division of Biology and Medicine (https://biomedical.brown.edu <https://biomedical.brown.edu/>) and affiliated with the Warren Alpert Medical School ( https://medical.brown.edu <https://medical.brown.edu/>) and the Carney Institute for Brain Science (https://www.brown.edu/carney <https://www.brown.edu/carney/>), which fosters interdisciplinary studies of mind and brain across Brown. A list of other faculty searches in brain science at our institution can be found at https://www.brown.edu/carney/open-faculty-searches For full consideration, applications should be submitted by December 1st and should include a cover letter; curriculum vitae; description of research plans (3 pg. max); diversity and inclusion statement (1 pg); teaching statement (1 pg); and 3 publications (with a brief statement regarding significance of the candidate’s contribution to each). Candidates should have three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor and teacher. Apply at https://apply.interfolio.com/132440. Equal Employment Opportunity Statement As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies. ~Theresa

Oct. 26, 2023

Faculty position at Washington University in St Louis

by Goodhill, Geoffrey

Assistant Professor Position in Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine (https://neuroscience.wustl.edu<https://neuroscience.wustl.edu/>) is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering, computer science, or a related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. We are particularly interested in outstanding researchers who are both creative and collaborative. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch(a)wustl.edu c/o Professor Linda J. Richards, Head, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 6, 2023. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Oct. 26, 2023

Apply to the Bertalanffy Doctoral Student Award 2024

by Amira Mouakher

*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 tothe 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 <mailto:hocine.cherifi@gmail.com>

Oct. 26, 2023

Allen Institute Modeling Software Email List

by Anton Arkhipov

Dear Colleagues, Would you like to know what's new in our modeling work and software modeling tools at the Allen Institute? If yes, please sign up here<https://secure2.convio.net/allins/site/SSurvey?amp;ACTION_REQUIRED=URI_ACTI…> to receive announcements a few times a year. We will be sharing messages about * Latest research on modeling brain circuits at the Allen Institute * New features and capabilities of BMTK<https://alleninstitute.github.io/bmtk/>, SONATA<https://github.com/AllenInstitute/sonata/>, and VND<https://www.ks.uiuc.edu/Research/vnd/> * Information about new job openings and important events at the Allen Institute We look forward to keeping in touch with you! Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

Oct. 26, 2023

Postdoctoral Research Associate Position in Computational Neuroscience (Computational Modelling of Decision Making)

by Wong-Lin, Kongfatt

Applications are invited for an externally funded Postdoctoral Research Associate position at the Intelligent Systems Research Centre (ISRC) in Ulster University, UK. The successful candidate will develop and apply computational modelling, and theoretical and analytical techniques to understand brain and behavioural data across primate species, and to apply biologically based neural network modelling to elucidate mechanisms underlying perceptual decision-making. The duration of the position is 24 months, from January 2024 till end of 2025. The personnel will be based at the ISRC in Ulster University, working with Prof. KongFatt Wong-Lin and his team, while collaborating closely with international collaborators in the USA and the Republic of Ireland, namely, Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Prof. S. Shushruth at University of Pittsburgh (USA). The ISRC is dedicated to developing a bio-inspired computational basis for AI to power future cognitive technologies. This is achieved through understanding how the brain works at multiple levels, from cells to cognition and apply that understanding to create models and technologies that solve complex issues that face people and society. All applicants should hold a degree in in Computational Neuroscience, Computational Biology, Neuroscience, Computing, Engineering, Mathematics, Data Science, Physical Sciences, Biology, or a cognate area. Apply online: https://my.corehr.com/pls/coreportal_ulsp/erq_jobspec_version_4.display_for… Closing date for receipt of completed applications: 8th November, 2023. Job Ref: 023762. For any informal enquiries regarding this position, please contact KongFatt Wong-Lin; email: k.wong-lin(a)ulster.ac.uk ; website: https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Oct. 25, 2023

Postdoctoral Fellow Positions at CCN, Flatiron Institute

by Matthew Turner

*Flatiron Research Fellow (Postdoctoral Fellow), NeuroAI and Geometric Data Analysis* *Description* Applications are invited for Flatiron Research Fellowships (FRF) in the NeuroAI and Geometric Data Analysis Group (SueYeon Chung, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on understanding computation in the brain and artificial neural networks by: (1) analyzing geometries underlying neural or feature representations, embedding and transferring information, and (2) developing neural network models and learning rules guided by neuroscience. To do this, the group utilizes analytical methods from statistical physics, machine learning theory, and high-dimensional statistics and geometry.The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN’s current research groups include computational vision <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Eero Simoncelli <https://www.simonsfoundation.org/people/eero-p-simoncelli/>, PI), neural circuits and algorithms <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Dmitri ‘Mitya’ Chklovskii <https://www.simonsfoundation.org/people/dmitri-mitya-chklovskii/>, PI), neuroAI and geometric data analysis <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, PI), and statistical analysis of neural data <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, PI), and is planning to expand the number of research groups in the near term. Interested candidates should review the CCN public website for specific information on CCN’s research areas. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. Please note that Alex William’s statistical analysis of neural data group is not recruiting at CCN in 2023. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. Review of applications for positions starting between July and October 2024 will begin in November 2023. For more information about life at the Flatiron Institute, visit https://www.simonsfoundation.org/flatiron/careers. Qualifications *MINIMUM QUALIFICATIONS* Education PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills & Other Requirements - Flexible multi-disciplinary mindset; - Strong interest and experience in the scientific study of the brain; - Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; - Ability to do original and outstanding research in neuroscience; - Ability to work well independently as well as in a collaborative team environment. Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant’s expertise and research proposal topic with existing CCN staff and research programs. *COMPENSATION AND BENEFITS* The full-time annual compensation for this position is $90,000. In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. Application Instructions - Required Application Materials - Cover letter (optional); - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. - Three (3) letters of recommendation *For more information and to apply, please visit: https://apply.interfolio.com/134616 <https://apply.interfolio.com/134616>* Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Co-Chair, Pride@SF Employee Resource Group Flatiron Institute 917.363.1095 mobile mturner(a)flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron <https://www.simonsfoundation.org/flatiron/>

Oct. 25, 2023

Postdoc positions in Neuro-AI at the University of Oregon

by James Murray

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/26101<https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/26101__…>. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). Applications should include a CV, two-page statement of research interests, a one-page DEI statement (guidelines<https://urldefense.com/v3/__https://provost.uoregon.edu/sites/provost1.uore…>), and contact information for three letters of reference. -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

Oct. 25, 2023

Postdoctoral position in Computational Neuroscience to study role of sleep in memory and learning

by Bazhenov, Maksim

The Bazhenov Lab at the University of California, San Diego, is currently seeking to fill a postdoctoral position to study the role of sleep in memory, learning, and forgetting. This exciting project involves close collaboration with experimental labs. The ultimate goal of the work is to advance our understanding of how the human and animal brain learns from experience and how sleep contributes to memory consolidation for recent learning. The successful candidate will be responsible for designing anatomically realistic biophysical brain network models based on experimental data. These models will be instrumental in uncovering network dynamics involved in memory consolidation, reconsolidation and forgetting during sleep, as well as guiding data analysis and generating innovative experimental predictions. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects. These projects include developing whole human brain model based on Human Connectome Project (HCP) data and mouse brain model based on the Allen Mouse Brain Connectivity Atlas. Other projects involve applying principles learned from neuroscience to artificial intelligence, focusing on areas such as continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python and PyTorch is a significant plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu> Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Institute for Neural Computation, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

Oct. 23, 2023

New doctoral program for Computational Neuroscience at Penn

by Maria Geffen

The Computational Neuroscience Initiative <https://cni.upenn.edu/> at the University of Pennsylvania is pleased to announce a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) <https://cni.upenn.edu/education> at the doctoral level. The goal of the ITCN is to train a new generation of scientists to make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results; build predictive models of brain function that inform the design of the experiments; and support an ever-growing list of neuroscience-related applications, from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies <https://www.med.upenn.edu/bgs/>, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Sciences), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those “home” PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities, that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are found here <https://cni.upenn.edu/education>. CNI/ITCN Leadership: Vijay Balasubramanian <http://www.sas.upenn.edu/~vbalasub/public-html/Home.html> Director (Physics): Theoretical and computational neuroscience Maria Geffen <https://hosting.med.upenn.edu/hearing/>, Co-director (Otorhinolaryngology, Neuroscience, Neurology): Neuronal circuits for auditory perception and learning: how our brain makes sense of sounds Joshua Gold <http://www.med.upenn.edu/goldlab/>, Co-director (Neuroscience): Mechanisms of decision-making and learning the primate brain CNI/ITCN Faculty: Michael Arcaro <https://psychology.sas.upenn.edu/people/michael-arcaro> (Psychology): Mammalian vision, development of sensory systems Geoffrey Aguirre <https://cfn.upenn.edu/aguirre/wiki/> (Neurology): Cortical organization for visual perception and recovery of visual function Victor Barranca <http://www.swarthmore.edu/NatSci/vbarran1/index.html> (Mathematics and Statistics, Swarthmore): Mathematical neuroscience and neuronal dynamics Danielle Bassett <http://www.danisbassett.com/> (Bioengineering, CIS, Neurology): Complex Systems, Network Science, Computational Neuroscience, Systems Biology, Dynamical Systems, Soft Materials, Behavioral Network Science Michael Beauchamp <https://www.med.upenn.edu/beauchamplab/> (Neurosurgery): Neural mechanisms for multisensory integration and visual perception in human subjects Vikas Bhandawat <https://drexel.edu/biomed/research-and-design/labs-research-groups/bhandawa…> (Biomedical Engineering, Drexel): How animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics and their environment David Brainard <http://color.psych.upenn.edu/brainard/> (Psychology): Human vision, machine vision, and computational modeling of visual processing Johannes Burge <https://psychology.sas.upenn.edu/people/johannes-burge> (Psychology): Computational modeling, perceptual systems, vision Yale Cohen <http://auditoryresearchlaboratory.weebly.com/> (Otorhinolaryngology, Bioengineering, Neuroscience): Understanding the representation of auditory information in the cortex, how auditory information is integrated with cognitive processes, and how auditory and visual information is combined to form unified sensory percepts Long Ding <http://www.med.upenn.edu/dinglab/> (Neuroscience): Electrophysiology; psychophysics; basal ganglia; frontal cortex; perceptual decisions Russell Epstein <http://www.psych.upenn.edu/epsteinlab/> (Psychology): Visual recognition and spatial cognition in humans Marc Fucillo <https://www.med.upenn.edu/fuccillolab/> (Neuroscience): The synaptic and circuit mechanisms of behavioral control Ethan Goldberg <https://goldbergneurolab.com/> (Neurology, CHOP): Ion channel, cellular, and synaptic neurophysiology; Neurogenetics; Neurodevelopmental disorders; Neurobiology of disease Joshua Goldwyn <https://www.swarthmore.edu/joshua-goldwyn> (Mathematics & Statistics, Swarthmore): Auditory neuroscience and the perception of sound Jay Gottfried <https://hosting.med.upenn.edu/gottfriedlab/> (Neurology, Psychology): Using multidisciplinary techniques to elucidate perception, learning, and memory through the lens of the olfactory system Casey Halpern <https://www.med.upenn.edu/apps/faculty/index.php/g275/p2009396/> (Neuroscience): Preclinical studies and developing clinical trials to expand indications for deep brain stimulation and other novel brain surgical therapies Joseph Kable <http://www.psych.upenn.edu/kable_lab/Joes_Homepage/Home.html> (Psychology): Psychological and neural mechanisms of human decision-making Michael Kahana <http://memory.psych.upenn.edu/Main_Page> (Psychology): Human episodic memory for verbal, visual and spatial information Eleni Katifori <http://web.sas.upenn.edu/katifori/> (Physics): Topology, function and development of biological distribution networks, elasticity and mechanics of thin cells, pattern formation Konrad Kording <http://koerding.com/> (Bioengineering, Neuroscience): Data that matters Hualou Liang <http://drexel.edu/biomed/faculty/core/LiangHualou/> (Biomedical Engineering, Drexel): Analysis of complex, high-dimensional neuroscience data Minghong Ma <https://www.med.upenn.edu/apps/faculty/index.php/g309/p42685> (Neuroscience): Neurobiology of the sense of smell Tim Machado <https://lab.timmachado.com/> (Neuroscience): How do motor command pathways interact to generate specific movements? Joel Mainland <http://www.med.upenn.edu/apps/faculty/index.php/g20000342/p8508331> (Monell Center): Developing a predictive model relating molecular structure and olfactory perception Yoichiro Mori <https://www.sas.upenn.edu/~y1mori/> (Mathematics, Biology): Mathematical Biology, Physiology and Biophysics, Applied and Numerical Analysis Philip Nelson <http://www.physics.upenn.edu/~pcn/> (Physics): stochastic modeling; computational neuroscience; multielectrode recording Bijan Pesaran <https://pesaranlab.org/people/bijan-pesaran/> (Neurosurgery, bioengineering): Understanding large-scale circuits in the brain and how to engineer novel brain-based therapies Alexander Proekt <https://www.med.upenn.edu/apps/faculty/index.php/g275/p8841436> (Anesthesiology): Neuronal dynamics and neuronal mechanisms of anesthesia Nicole Rust <http://www.sas.upenn.edu/psych/rust-lab/> (Psychology): The neural correlates of visual memory Anna Schapiro <https://www.schapirolab.org/> (Psychology): Memory, learning, neural network modeling, sleep, consolidation, hippocampal-cortical interactions Marc Schmidt <https://www.bio.upenn.edu/people/marc-schmidt> (Biology): Avian brain dynamics in complex naturalistic social environments; computational neuroethology of courtship interactions in groups of songbirds; social context as a computationally constructed variable Alan Stocker <http://www.sas.upenn.edu/~astocker> (Psychology): Computational perception and cognition Flavia Vitale <https://vitalelab.med.upenn.edu/> (Neurology, Bioengineering, Physical Medicine and Rehabilitation): To study, monitor and treat neurological and neuromuscular disorders such as epilepsy, Parkinson's, nerve injury, and chronic pain Franz Weber <https://www.med.upenn.edu/weberlab/> (Neuroscience): The neural and homeostatic mechanisms controlling REM sleep, and the functional role of this brain state in emotional memories and behaviors ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Oct. 23, 2023

Post-doctoral position in Systems Neuroscience at Yale

by Anirvan Nandy

The Nandy lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnandylab.…> and the Jadi lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jadil…> in the Departments of Neuroscience <https://medicine.yale.edu/neuroscience/> & Psychiatry <https://medicine.yale.edu/psychiatry/> at the Yale School of Medicine have an immediate opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention. Applicants with the following skills are particularly encouraged to apply: (a) research background in cognitive, systems, or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modeling). The candidate will carry out high-density multi-areal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modeling in a highly collaborative research environment. This is a multi-year fully funded position. The initial appointment will be for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled. Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychiatry, Psychology, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology, and more. The Wu Tsai Institute <https://wti.yale.edu/>, Kavli Institute for Neuroscience <https://medicine.yale.edu/kavli/>, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog. Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, persons with disabilities, protected veterans, and individuals from underrepresented minority groups are strongly encouraged to apply. Interested candidates should e-mail their applications to anirvan.nandy(a)yale.edu <mailto:anirvan.nandy@yale.edu>. The application should include (1) a CV; (2) a one-page description of research interests; (3) contact information for 3 referees. -------------------------------------------------------------------------- Anirvan Nandy, PhD Yale Orthwein Scholar for Vision Science Dept. of Neuroscience | Kavli Institute | Wu Tsai Institute Yale University https://nandylab.org <https://nandylab.org/>

Oct. 23, 2023

Tenure-track faculty position in Computational Brain Science @Brown

by Michael J Frank

*Tenure-track Assistant, Associate or Full Professor in Computational Brain Science* Robert J. and Nancy D. Carney Institute for Brain Science Brown University The Robert J. and Nancy D. Carney Institute for Brain Science <https://www.brown.edu/carney/> at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track/tenured position at the Assistant, Associate of Full Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science <https://ccbs.carney.brown.edu/>. As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate’s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 200 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute’s strategic vision is aligned with Brown’s commitment to creating a more fully diverse and inclusive community, outlined in “Pathways to Diversity and Inclusion: An Action Plan for Brown University <https://diap.brown.edu/>.” *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2024, and January 1, 2025. *Application Instructions* All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) Candidates currently holding tenured faculty positions should provide the names of three referees; these referees will not be contacted without prior authorization from the candidate. Candidates who do not currently hold a tenured faculty position should have at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor and teacher. Inquiries about the position should be directed to carney-institute(a)brown.edu. Consideration of applications will begin on November 13, 2023; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/132928. *Equal Employment Opportunity Statement* Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status. Michael J Frank, PhD | Edgar L. Marston Professor Director, Carney Center for Computational Brain Science <https://www.brown.edu/carney/ccbs> Laboratory of Neural Computation and Cognition <https://www.lnccbrown.com/> Brown University website <http://ski.clps.brown.edu>

Oct. 23, 2023

[Conference] Final CFP (27/10) - IV Latin American Workshop on Computational Neuroscience - Nov 28-30 Envigado, Colombia

by Jaime Andres Riascos Salas

Sorry for the cross-posting ********************************* CALL FOR PAPERS CFP Final Paper Submission Deadline: October 27th, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. Online and on-site www.lawcn.co Contact: lawcn_2023(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking to enhance the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Bests Papers will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS, https://www.springer.com/series/7899; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue “Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind” published by the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index; ISSN 2011-7922); and the Special Issue “Engineering/computational methods applied to Psychology and neuroscience” published by the Ingenierías USBMED journal (https://revistas.usb.edu.co/index.php/IngUSBmed; ISSN 2027-5846). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. Authors of accepted papers must present their work in the workshop. We have several travel and registration grants thanks to the International Brain Research Organization (IBRO) for international and national authors, prioritizing women and underrepresented regions. See the full information in the next link: https://lawcn.co/event/studentsGrants.html The Workshop will consist mainly of the following activities. • Presentation of up to nine (9) key researchers of international and national renown. • Round table to widely discuss gender diversity in Neuroscience. • Oral presentations of accepted papers by their authors. • Poster session. • Launch of the Brain-Computer Interface LATAM network. • Technical exhibitors. Conference chairs • Jaime A. Riascos, Institution University of Envigado (IUE), Colombia • Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization • Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil • Vinicius Cota Federal University São João do Rei (UFSJ), Brazil • Marta Molinas NTNU, Norway • Edwin Moncada Institution University of Envigado, Colombia • Jonier Rendón Institution University of Envigado, Colombia • Efraín Buriticá Universidad del Valle – COLNE, Colombia • Pablo Reyes Pontificia Universidad Javeriana - Colne • Hernán Villota Institution University of Envigado, Colombia • Daniel Betancourt Institution University of Envigado, Colombia • Catalina Alvarado Pontificia Universidad Javeriana, Colombia • Fernando Marmolejo-Ramos University of South Australia, Australia • Paula Herrera Universidad Tecnológica de Pereira, Colombia Keynote Speakers • Prof. PhD. Norberto García Caraisco (USP, Brazil) • Prof. PhD. Salvador Dura-Bernal (SUNY, USA) • Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) • Prof. PhD. Fabien Lotte (INRIA, France) • Prof. PhD. Marta Molinas (NTNU, Noruega) • Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) • Prof. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) • Prof. PhD. Alexandre Surget(iBraiN Inserm University of Tours, France) • Prof. PhD. Marangelie Criado-Marrero (University of Florida, USA) Roundtable Women in Neuroscience: • Prof. PhD. Lina Becerra, Colegio Colombiano Neurociencias (COLNE), Pontificia Universidad Javeriana, Universidad del Valle, Colombia • Prof. PhD. Yadira Ibargüen-Vargas, University of Orleans, France • Prof. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) • Prof. PhD. Marta Molinas (NTNU, Noruega) • Prof. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Important dates (firmly final deadline) Paper submission deadline: October 27th, 2023 Notification of acceptance (paper): November 6th, 2023 Camera-ready (paper): November 15th, 2023, Abstract submission deadline (for poster presentation): October 30, 2023 Notification of acceptance (abstract): November 6th, 2023 Camera-ready (abstract): November 15th, 2023. More Information: www.lawcn.co Best regards, and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor IUE Chair IV LAWCN https://lawcn.co/

Oct. 23, 2023

Faculty position in computational/theoretical neuroscience at UC Berkeley

by Bruno OLSHAUSEN

The Helen Wills Neuroscience Institute together with the Department of Statistics at UC Berkeley is conducting a faculty search in the area of computational or theoretical neuroscience. This is an ideal opportunity for computational/theoretical neuroscientists who are engaged in both model and theory development and collaborative work with experimentalists. For further information please see the official posting at https://aprecruit.berkeley.edu/JPF04142 Application deadline is November 15. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute, and Herbert Wertheim School of Optometry & Vision Science Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 (510) 642-7250 / 2-7206 (fax) http://redwood.berkeley.edu/bruno

Oct. 22, 2023

Open Faculty Positions at OIST: Deadline October 31, 2023

by Kenji Doya

Okinawa Institute of Science and Technology (OIST) has up to 10 open faculty positions in fields including life sciences and computational sciences: https://groups.oist.jp/facultypositions We target at least 50% women in this search. The application deadline is October 31, 2023. Each faculty member runs an independent research unit with internal funding including PhD students and postdoc/technical staff positions. A tenure-track faculty will have a tenure review within 6 years and a tenured faculty can renew research funding with reviews every 5 years till retirement at 70. OIST is an international, interdisciplinary graduate university without department boundaries. Education, research, and administration are run in English and no Japanese skills are required. A variety of supports for foreign researchers and family members are provided. See the flyer: https://groups.oist.jp/sites/default/files/imce/u769/Faculty-Recruitment-23… We look forward to your application. Best wishes, Kenji ---- 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

Oct. 21, 2023

PhD/Postdoc Positions in AI/Brain Research at the University of Birmingham

by Jian Liu

*PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computer Science University of Birmingham. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions, AR/VR in cognition, and brain diseases from molecules to systems, to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information to the contract point at https://www.birmingham.ac.uk/staff/profiles/computer-science/academic-staff… - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society—examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

Oct. 21, 2023

Postdoc on Dravet syndrome modeling: Inria (Montpellier, France) and BCAM (Bilbao, Spain)

by desroche

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 <https://www-sop.inria.fr/members/Fabien.Campillo/index.html>, Pierre Del Moral <https://people.bordeaux.inria.fr/pierre.delmoral/>, Mathieu Desroches <https://www-sop.inria.fr/members/Mathieu.Desroches/> and Serafim Rodrigues <https://www.bcamath.org/en/research/areas/m3a/mcen>. 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 If you have any questions, do not hesitate to contact us directly: Fabien Campillo: fabien.campillo(a)inria.fr <mailto:Fabien.campillo@inria.fr> Mathieu Desroches: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr> 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/

Oct. 21, 2023

York University seeks to recruit a Computational Neuroscientist at the Assistant or Associate Professor level

by Liya Ma

I hope this email finds you well. My name is Liya Ma, and I am writing to you as a member of the search committee at the Department of Psychology at York University. We are currently embarking on a search for a highly talented Computational Neuroscientist with a focus on vision-related research, broadly defined. This unique position is part of the prestigious Canada Research Chairs program<https://www.chairs-chaires.gc.ca/program-programme/index-eng.aspx> (CRC) and is also supported by the Vision: Science to Applications (VISTA) program<https://vista.info.yorku.ca/>. We are actively looking for candidates to fill this role at either the Assistant or Associate Professor level, depending on qualifications and experience (within 10 years from their terminal degree). Recognizing the underrepresentation of women and gender minorities among CRCs, this position is open only to qualified researchers who indicate on the Affirmative Action self-identification form that they identify as women or gender non-conforming. If you could kindly help us by distributing this call for applications to any colleagues or contacts you believe may be interested or suitable for this position, we would greatly appreciate your assistance in reaching potential candidates. Please see the ad at: https://www.yorku.ca/vpepc/faculty-affairs/faculty-positions/ https://www.yorku.ca/vpepc/faculty-affairs/wp-content/uploads/sites/698/202… Best regards, Liya Liya Ma, PhD She/Her Assistant Professor, Tier II Canada Research Chair Visual Neurophysiology Centre Dept. of Psychology York University https://www.cogneurophys.org/

Oct. 20, 2023

PhD in Data Science at NYU Center for Data Science

by Aimée-Catherine Zambrana

The CDS PhD program model rigorously trains data scientists of the future who (1) develop methodology and harness statistical tools to find answers to questions that transcend the boundaries of traditional academic disciplines; (2) clearly communicate to extract crisp questions from big, heterogeneous, uncertain data; (3) effectively translate fundamental research insights into data science practice in the sciences, medicine, industry, and government; and (4) are aware of the ethical implications of their work. *Fall 2024 PhD Applications are now open!* *Visit https://cds.nyu.edu/phd-program/ <https://cds.nyu.edu/phd-program/> for more information!* *The Fall 2024 online application <https://gsas.nyu.edu/content/nyu-as/gsas/admissions/arc.html> is now open. The application deadline is Tuesday, December 5, 2023, 5pm ET.* *Don’t miss our upcoming Fall 2024 PhD Admissions Information Session on Thursday, October 26 at 1pm EST! Sign up at the PhD Admissions Open House Zoom Registration Link <https://nyu.zoom.us/webinar/register/WN_U0gnONDjTKC7RiNtHEqWxw#/registration>.* Aimée-Catherine Zambrana Executive Assistant Center for Data Science *New York University* az58(a)nyu.edu 212-998-3099 Follow us at @NYUDataScience <https://twitter.com/NYUDataScience> and facebook.com/nyudatascience <https://www.instagram.com/nyucds/> <http://facebook.com/nyudatascience> <https://www.linkedin.com/school/nyu-center-for-data-science/> <https://twitter.com/NYUDataScience>

Oct. 20, 2023

Doctoral studies in Computational/Theoretical Neuroscience at NYU

by Eero Simoncelli

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung (also in the FlatIron Institute) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 5 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. ReplyForward

Oct. 20, 2023

Open position: Postdoctoral position in Human Psychophysics for understanding vision with/without Neuroimaging, Tuebingen, Germany

by Pavlovic, Maria

Postdoctoral position in Human Psychophysics for understanding vision with/without Neuroimaging (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS, EEG/MEG, and other relevant methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG/MEG, methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures * Coordinate with the PI and other team members for strategies and project planning * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field * Publications in peer-reviewed journals * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, MEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable * Experience in project management is highly desired * Strong command of English; knowledge of German is a plus Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org/> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by Nov. 30, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de, where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

Oct. 19, 2023

[Job] Assistant Professor of Computational Biology

by Aimée-Catherine Zambrana

Apply at https://apply.interfolio.com/133938 Description *New York University’s Department of Biology* invites applicants for two tenure track positions ideally beginning on September 1st, 2024, pending budgetary and administrative approval. We are particularly interested in the broad area of Computational Biology, including, but not limited to, AI and ML applications to biology, computation-enhanced imaging, modeling of biological networks, genomic sciences, quantitative ecology and epidemiology. The new hires will be a part of a university-wide initiative in Interdisciplinary and Computational Sciences. The positions will be joint between the Department of Biology and Department of Computer Science in the Courant Institute for Mathematical Sciences, or the Department of Biology and Center for Data Science. The new hires will participate in the research and teaching mission of both the Department of Biology, and of the Department of Computer Science or the Center for Data Science. This search is for the tenure-track, Assistant Professor, position. Candidates are expected to develop and maintain an externally funded research program. The Departments of Biology (http://biology.as.nyu.edu) Computer Science (https://cs.nyu.edu <https://cs.nyu.edu/home/index.html>), and Center for Data Science (https://cds.nyu.edu) offers a collaborative, interactive, interdisciplinary and innovative research environment that supports ambitious research projects across many areas. Application packages should include a cover letter, separate research, teaching and diversity statements, a curriculum vitae and three reference letters. Full details of the required documents and how to apply online are at http://apply.interfolio.com/133938. Please send your completed application by *November 10th 2023*. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $100,000 - $150,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. The Faculty of Arts and Science at NYU is at the heart of a leading global research university. We seek scholars of the highest caliber that embody the diversity of the United States as well as the global society in which we live. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the FAS commitment to diversity, equality, and inclusion, please read here: https://as.nyu.edu/departments/facultydiversity.html *New York University* NYU is an Equal Opportunity / Affirmative Action Employer EOE / AA / Minorities / Females / Veterans / Disabled / Sexual Orientation / Gender Identity Application Instructions *Required application materials:* *1. A one page cover letter* that briefly describes your past and future research areas, and how your planned research program fits with and/or expands current research in the Department. *2. Your CV.* *3. A research statement of up to 3 pages. *The first page should summarize your most significant scientific accomplishments as a PhD student and a postdoc. The remainder should explain your future plan and vision for an independent research program. References may be added on a fourth page. *4. A one page teaching statement* describing your teaching experience and teaching philosophy. *5. A one page diversity and inclusion statement *that describes your past activities, experiences and future plans to advance diversity and inclusion. NYU is committed to building and strengthening a university-wide culture of diversity, inclusion, and equity. Please see: https://as.nyu.edu/departments/facultydiversity/recruitment/diversity-state… *6. The names and email addresses for 3 reference letters. *The letter-writers will be contacted automatically by Interfolio, but it is often a good idea to remind them. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

Oct. 18, 2023

[Job] Faculty Position in Data Science and Applied Mathematics

by Aimée-Catherine Zambrana

Apply at https://apply.interfolio.com/134253 Description The Center for Data Science (CDS) and the Center for Atmosphere Ocean Science (CAOS), a unit of the Department of Mathematics within the Courant Institute of Mathematical Sciences at New York University seeks candidates for one (1) open-rank joint faculty position, anticipated to begin in September 2024. Faculty members are expected to be outstanding scholars and to participate in teaching at all levels from undergraduate to doctoral. We seek to develop our strength at the interface between machine learning and science, leveraging advances in data science. Machine learning has the possibility of transforming our ability to model multi-scale physics, chemistry and biology. We are particularly focused on expanding in the area of data science for physics applications (e.g., fluid dynamics, climate science) and computational applied sciences with machine learning. This search is part of a cluster hire in Predicting Climate Change and its Impacts: From the Global to Urban Scale that includes the departments of Mathematics and Computer Science in the Courant Institute of Mathematical Sciences, Civil and Urban Engineering in the Tandon School of Engineering, and the Center for Data Science. Advances in climate science prediction will require transformative developments in and between mathematics, data science, computer science, physics, engineering and geoscience. More information about this cluster, and NYU's broader Faculty Cluster Hiring Initiative, can be found here <https://cfa.hosting.nyu.edu/recruitment/faculty-cluster-initiative/>, and here <https://cfa.hosting.nyu.edu/recruitment/cluster-proposals/>. A few faculty positions will be advertised as part of this cluster search, with the intention of creating a diverse, inter-disciplinary cohort to devise cutting-edge research and curricular development. The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science. The Courant Institute’s Mathematics Department is a world-renowned center for applied mathematics (including math for data science and machine learning), scientific computing, PDEs, analysis, probability, geometry and other fields. Courant is also the home of NYU’s department of Computer Science, which is a leader in machine learning and AI, among other fields. CDS and the Courant Institute (both Math and CS) host vibrant interdisciplinary PhD programs and a number of faculty hold joint appointments at the Center for Data Science and the Courant Institute. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $125,000 - $185,000. Qualifications A PhD in applied math and/or applied physics or a related quantitative field is required. Application Instructions Applications can be submitted through our Interfolio application page. <https://apply.interfolio.com/68757> Please include a cover letter, CV, a short statement of your research and teaching interests, and at least three confidential recommendation letters. We encourage applicants to include a brief statement describing how your research, teaching, and service contributes to diversity and inclusion. Applications and supporting documents received by Friday, December 1, 2023 will receive full consideration. <https://twitter.com/NYUDataScience> Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

Oct. 18, 2023

[Job] Fall 2024 Clinical Faculty in Data Science

by Aimée-Catherine Zambrana

Apply at https://apply.interfolio.com/132947 Description The NYU Center for Data Science (CDS) seeks to fill a Clinical Faculty position in Data Science at its Washington Square campus. Description CDS: The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building <https://www.google.com/maps/search/60%205th%20Avenue?entry=gmail&source=g>, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and an undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science. The primary responsibilities will be: - teaching and coordinating three (3) entry- and advanced-level courses for undergraduates- and masters-level students in Data Science during each of the Fall and Spring semesters. Topics of courses might include some subset of: probability and statistics, statistical modeling, causal inference, machine learning, computer vision, artificial intelligence, natural language processing, “big data”, visualization, programming for data science. - training and evaluating teaching assistants - other responsibilities related to the administration of the undergraduate and graduate programs including but not limited to: helping with the administration of admissions to the MSDS, designing and revising curricula when required, advising students on optimal course choices and sequences. These other responsibilities may lead to a reduction in course load. This Clinical Faculty position is not a tenured or tenured-track position. Data Science full-time clinical faculty hold renewable term contracts, initially for one year, and later three to five years in duration. Clinical faculty are eligible for promotion within the Clinical faculty ranks (Assistant, Associate, Full). In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $85,000 - $135,000. Qualifications Applicants must have a strong background in Data Science and a Ph.D. in a related field such as computer science, statistics, quantitative neuroscience, political science, or linguistics and the like as well as experience in and knowledge about undergraduate and graduate teaching, learning, and curricular issues. Application Instructions Please provide in your application: - A cover letter indicating how the position relates to your overall career plans - A complete curriculum vitae - Three confidential letters of recommendation are required, including one that focuses on your teaching. Please follow the prompts in the application. Once you submit your application, an automated email with a link will be generated to your recommenders asking them to upload their confidential letters of recommendation. - A 1-2 page teaching statement - A teaching portfolio. The portfolio may include a list of courses taught, sample teaching materials, evaluations of teaching, certifications, or other supporting documents. - (preferred, but optional) A 15-minute video of your teaching. Upload your video to a public streaming site (such as YouTube or Vimeo) and submit the URL with your application. Applications received through the interfolio application page before April 1, 2024 will be given full consideration. Questions should be directed to Remi Moss at remimoss(a)nyu.edu. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

Oct. 18, 2023

[Job] 2024 CDS Faculty Fellow

by Aimée-Catherine Zambrana

Apply at https://apply.interfolio.com/133513 Description The Center for Data Science (CDS) at New York University (NYU) invites applications for its highly prestigious CDS Faculty Fellow <https://cds.nyu.edu/our-people/research-engineers-fellows-and-postdocs/> positions. Building on the success of the Moore-Sloan Fellows program, CDS has created a Faculty Fellow program to continue to develop outstanding researchers in Data Science. Alumni of the distinguished Moore-Sloan Fellowship program have secured top-level academic positions or industry jobs. For instance, our former Fellows obtained faculty positions here at NYU, the University of Chicago, Johns Hopkins, the University of Michigan, and the University of Amsterdam, to list just the most recent ones. Given the prestigious nature of the position, we offer a generous compensation package which may include NYU faculty housing as well as funds to support research and travel. The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our modern 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 60 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the fields of Data Science and Machine Learning. The CDS Faculty Fellow will be expected to work at the boundaries between the data-science methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead original research projects of their choosing with impact in one or more scientific domains and in one or more methodological domains (computer science, statistics, and applied mathematics). We seek outstanding interdisciplinary researchers with expertise in the methods of data science possibly with application in physical, life, or social science. The program recognizes that rapid advances in our ability to acquire and generate data are transforming all fields of discovery from data-poor to data-rich. A significant bottleneck to discovery is our ability to perform inference over heterogeneous, noisy, and often massive datasets. Successful candidates will bring a research agenda that can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields. This is a full-time, non-tenure position, with a light teaching load of one (1) CDS course per year as the primary instructor. You will also be expected to participate in service activities of the Center for Data Science (such as helping review admissions applications, committee work, etc.). Appointments will be for two years. Fellows will be offered a competitive salary and benefits, with funds to support research and travel. A start date of September 1, 2024 is planned. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $85,000 - $95,000. Qualifications Applicants must possess a doctorate degree prior to the beginning of the position. Application Instructions Please submit your curriculum vitae, a list of publications, and a brief statement of research interests (no longer than 4 pages) via our Interfolio application page. The statement of research interests should mention the names of one or more faculty members associated with the NYU Center for Data Science who would have substantial intellectual overlap with the applicant’s interests and likely program of research. More information about relevant faculty members can be found at https://cds.nyu.edu/our-people. We encourage applicants to include a brief statement describing how your research, teaching, and service contributes to diversity and inclusion. Please submit your application by November 28, 2023 for full consideration. Any questions may be directed to our Director of Administration and Operations, Remi Moss who can be reached at: remimoss(a)nyu.edu <https://cds.nyu.edu/facultyfellows/remimoss@nyu.edu>. Equal Employment Opportunity Statement *For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr <http://www.nyu.edu/it/gdpr>* *NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.* *Sustainability Statement * *NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability <http://nyu.edu/sustainability>*

Oct. 18, 2023

Postdoctoral Position at Stevens in Multiphysics Brain Aging Modeling

by Johannes Weickenmeier

Hello everyone. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier at Stevens Institute of Technology right outside New York City (www.weickenmeierlab.com<http://www.weickenmeierlab.com/>). The Soft Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available immediately. To apply, please contact Prof. Johannes Weickenmeier(johannes.weickenmeier(a)stevens.edu). Best wishes, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering | phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<http://www.weickenmeierlab.com/>

Oct. 18, 2023

New seminar in Networks and Applied Algebraic Topology

by Jānis Lazovskis

Dear colleagues, With great pleasure we announce the launch of the AATRN Networks Seminar. This monthly seminar is an affiliated activity of the Applied Algebraic Topology Research Network (aatrn.net<http://aatrn.net/>), and will be covering applications and theory of how network structure is revealed through topology and algebra. The talks will be held once a month, generally on the first Tuesday of the month, starting 7 November at 5pm CET (11am Eastern) via the Zoom platform. We already have a lineup of exciting speakers, including: Cristian Bodnar (Microsoft) Dani Bassett (University of Pennsylvania) Katie Morrison (University of Northern Colorado) Please visit the seminar web page for the full schedule and speakers: sites.google.com/view/aatrn-networks-seminar<http://sites.google.com/view/aatrn-networks-seminar> Regular reminders (and Zoom coordinates) will be distributed through our mailing list, for which you can register at: groups.google.com/g/aatrn-networks<http://groups.google.com/g/aatrn-networks> The reminders will also be forwarded to the AATRN mailing list, to which you can also register (if you have not already done so) at: groups.google.com/g/aatrn<http://groups.google.com/g/aatrn> As with regular AATRN activities, the talks will also be available through the AATRN YouTube channel: youtube.com/c/AppliedAlgebraicTopologyNetwork<http://www.youtube.com/c/AppliedAlgebraicTopologyNetwork> Please help us spread the word about this new seminar series within your own research network. If you have suggestions for a speaker, please email the seminar at topologyandnetworks(a)gmail.com<mailto:topologyandnetworks@gmail.com>. We apologise if you receive this message multiple times since we are announcing it on various venues. Best wishes from the organisers, Daniela Egas Santander, Jānis Lazovskis, Henri Riihimäki, Jason Smith

Oct. 18, 2023

Assistant/Associate Professor of Cognitive Neuroscience: University of Connecticut

by Scott Rich

Dear Comp-Neuro Listserv, Please find below a job posting of potential interest for a tenure-track faculty position at the University of Connecticut in Cognitive Neuroscience. Please spread the word to anyone who you think might be a good fit for this position. Assistant/Associate Professor of Cognitive Neuroscience College of Liberal Arts & Sciences University of Connecticut The College of Liberal Arts & Sciences at the University of Connecticut in Storrs invites applications for a full-time tenure-track faculty position at the rank of Assistant Professor or Associate Professor in the broad research area of Cognitive Neuroscience. We seek a candidate with demonstrated scholarly interest in cognitive neuroscience with a strong theoretical and technical expertise in MRI and other imaging methodologies. This appointment is a full-time, 9-month, tenure-track positions with an anticipated start date of August 23, 2024. Salary and rank will be commensurate with qualifications and experience. For more details or questions regarding the position please see the complete add at Academic Jobs Online <http://academicjobsonline.org/> (Search # 497911); email Search Committee Chair inge-marie.eigsti(a)uconn.edu <mailto:inge-marie.eigsti@uconn.edu> with any questions.

Oct. 17, 2023

Postdoctoral Fellow position in Neuronal Circuits implicated in non-motor symptoms in Parkinson’s disease

by Pablo Jercog

We are currently looking for a self-driven and enthusiastic postdoctoral fellow to join our team at the Cajal Institute, which is part of the Consejo Superior de Investigaciones Científicas (CSIC) in Spain. Our research is centered around studying the *malfunctioning of neuronal circuits in Parkinson's disease*, with a particular focus on understanding the molecular and circuit disruptions that occur during the development of Parkinsonian symptoms in an animal model developed at the Dr. Rosario Moratalla lab. We are specifically seeking an individual with prior experience in optogenetics, electrophysiology or calcium imaging on freely moving animals. While expertise in neurodegenerative diseases is desirable, it is not mandatory. If you are interested in this position, please take a look at some of our related publications to familiarize yourself with our ongoing research: - Suarez LM, Alberquilla S, García-Montes JR, Moratalla R. Differential synaptic remodeling by dopamine in direct and indirect striatal projection neurons in Pitx3-/- mice, a genetic model of Parkinson´s disease. J Neursci. 2018. 38:3619-3630. doi: 10.1523/JNEUROSCI.3184-17.2018. - Keifman E, Ruiz de Diego I, Pafundo DE, Paz RM, Solís O, Murer MG, Moratalla R. Optostimulation of striatonigral terminals in substantia nigra induces dyskinesia that increases after L-DOPA in a mouse model of Parkinson's disease. Br J Pharmacol. 2019;176:2146-2161. doi: 10.1111/bph.14663 - Suarez LM, Solís O, Sanz-Magro A, Alberquilla S, and Moratalla R. D1 receptor regulates spine density in direct and indirect striatal projection neurons. Mov Disord. 2020 Jul 9. doi: 10.1002/mds.28174. The CSIC encompasses over 130 research centers, including several located in Madrid, such as the renowned Cajal Institute. Within the Cajal Institute, numerous active laboratories focus on functional and systems neurobiology <https://cajal.csic.es/en/functional-and-systems-neurobiology/>. The institute fosters a vibrant scientific community through regular activities such as journal clubs, weekly colloquiums, and classes for its master's program in collaboration with multiple universities. Situated in Madrid, the political capital of Spain, the institute benefits from being in an exhilarating city with a rich historical background. Madrid boasts world-renowned museums such as El Prado, Reina Sofia, and Tyssen, and it serves as a hub for start-ups and technological advancements in the fields of science and engineering. The city's high-quality public health and education systems further enhance its appeal, making Madrid an enticing destination for candidates considering relocation with their families. The position is funded for *2 years* with an extension based on performance. Starting date: ASAP. Interested candidates, please send their CVs to Dr. Rosario Moratalla (moratalla(a)cajal.csic.es) until the position is filled. -- Pablo Jercog, Ph.D. Team Leader Room C-11, Instituto Cajal, CSIC Avda. Doctor Arce, 37 Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

Oct. 17, 2023

Learn to use International Brain Lab data at SfN 2023

by Hannah M Bayer

A Brainwide Map of mouse brain neural activity during decision-making was released by the International Brain Laboratory ( https://internationalbrainlab.org) and we want you to use it to test your own hypotheses! At the Society for Neuroscience meeting this year, we will host a workshop for anyone interested in learning to use the data. During this tutorial we will teach you to search and download datasets, do basic analyses, and give tips for more advanced computation. We will also demonstrate how to upload your analysis results to our visualization website. Bring your laptop to work along with the demonstration. Participation is free, but registration is required. For more information and to register, visit http://internationalbrainlab.org/sfn2023 -- Hannah M. Bayer, PhD (she/her) Executive Director International Brain Laboratory

Oct. 16, 2023

postdoc at SISSA: How come my tongue got stuck?

by Alessandro Treves

New research in our limbo group (Ryom and Treves, Phys Rev X Life, 2023, and unpublished) and extensive data on language parameters collected by Longobardi and collaborators (Ceolin et al, Phil Trans Roy Soc B, 2021) suggest that language diversity may reflect the disordered freezing dynamics that in a spin glass leads to a multiplicity of ground states. In a simplified model, vectors of binary syntactic parameters interact via strong asymmetric logical implications and weak partly symmetric influences, which can produce critical slowing down through a novel mechanism of percolated freezing. A postdoc position is available at SISSA, in Trieste, to carry this project further into uncharted territory, see https://arxiv.org/abs/2307.03152. Whatever their background, candidates should be keen to develop new mathematical and computational statistical approaches to evolutionary neuro-linguistics and enjoy learning about issues and narratives in scientific communities other than their own. A formal call with deadline Dec 10th, 2023 will be issued shortly. Meanwhile, check https://people.sissa.it/~ale/limbo.html and write to ale(a)sissa.it<mailto:ale@sissa.it> for inquiries. ---------------------------------------------- Alessandro Treves Liminar Investigations of Memory and Brain Organization Cognitive Neuroscience, SISSA, Trieste, Italy +39 349 2504602 http://people.sissa.it/~ale/limbo.html

Oct. 16, 2023

LASCON 2024 - IX Latin American School on Computational Neuroscience - Extended Application Deadline

by Antonio Roque

Due to many requests, the application deadline for LASCON 2024 has been extended to Sunday October 22, 2023 (until midnight, US Pacific Time). **************************************************************************************** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 22, 2023 Third and final announcement Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, University of Strasbourg, Strasbourg, France Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Dartmouth College, Hanover, NH, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 22, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

Oct. 14, 2023

[Meetings] Call for Panelists: The Opportunities and Challenges of ChatGPT in Brain-Machine Interface Workshop in IEEE BHI 2023

by Wang, Ker-Jiun

Call for Panelists: The Opportunities and Challenges of ChatGPT in Brain-Machine Interface Workshop in IEEE BHI 2023 Workshop Details: * Title: The Opportunities and Challenges of ChatGPT in Brain-Machine Interface Workshop * Date: October 15 (Sun), 2023 * Time: 2- 5 pm (EST) * Venue: Online: https://us06web.zoom.us/meeting/register/tZEvdOqtpz0qHdRsTbc7P3cu8hoPYx4l61… Onsite: WESLEY W. POSVAR HALL: 230 S Bouquet St, Pittsburgh, PA 15213, United States * Associated Event: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23) Workshop Details: The rapid progression of brain-machine interface (BMI) technology has heralded a transformative era in human-machine interactions. The direct interface between the human brain and external devices, coupled with groundbreaking advancements in artificial intelligence, presents an exciting frontier of exploration and innovation. At the heart of this revolution lies ChatGPT, OpenAI's state-of-the-art language model, known for its prowess in natural language processing and generation. Our upcoming workshop aims to delve deep into the challenges and prospects surrounding the integration of ChatGPT (GPT3, GPT4-like models) into BMI systems: 1. Overcoming existing limitations such as low signal resolution, signal latency, and the complications surrounding invasive neural implants to develop an effective connection between brain and machine. 2. Adapting ChatGPT, GPT-like model or Generative AI to interpret and produce text that syncs flawlessly with a user's intentions while abiding by ethical and privacy mandates. Opportunities Awaiting: 1. Revolutionizing communication capabilities of BMIs by translating thoughts into text-based information, thereby refining the dynamics of human-machine interaction. 2. Exploiting ChatGPT's inherent natural language capabilities to usher in more intuitive and user-friendly BMI interfaces. This opens up vistas of possibilities for individuals with limited mobility to engage with the world around them. 3. Using ChatGPT as an interface between users and external systems, this bridge has the potential to transform the lives of those with disabilities, granting them unhindered access to technology, be it drafting emails, internet browsing, or maneuvering smart devices. 4. The recurrent engagement of users with ChatGPT offers prospects for crafting personalized and adaptable BMI systems, escalating user gratification and optimizing system outputs. Call for Panelists: We invite passionate researchers, experts, and enthusiasts in the field of BMI, artificial intelligence, and neurotechnology to join our panel discussion. Registered panelists will be given a platform for 5 minutes to spotlight their research and opportunities to utilize ChatGPT, or related Generative AI, LLM, to augment Brain activity decoding. We want to convene some of the most brilliant minds in the field, hoping to spark conversations that pave the way for future innovations. Let’s embrace this chance to contribute to a domain that has the potential to redefine the horizons of human-machine communication. Register now and be part of the dialogue that could redefine the future of BMIs and human-machine communication. Registration Link: https://us06web.zoom.us/meeting/register/tZEvdOqtpz0qHdRsTbc7P3cu8hoPYx4l61… For further details please visit the event website: https://bhi.embs.org/2023/program/workshops-2/ Warm Regards, Organizers Ker-Jiun Wang, University of Pittsburgh Ramana Vinjamuri, UMBC Maryam Alimardani, Tilburg University Zhi-Hong Mao, University of Pittsburgh Midori Sugaya, Shibaura Institute of Technology ChatGPT in Brain-Machine Interface chatgpt.bmi(a)gmail.com<mailto:chatgpt.bmi@gmail.com>

Oct. 13, 2023