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PhD position - Memory - Neural Computation Group - Max Planck Institute CBS, Leipzig
by Andrej Bicanski 19 Nov '24

19 Nov '24

Dear colleagues, I am advertising a PhD position in computational neuroscience in my group (Neural Computation) - fully funded (3 years) - at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. The position is part of an international collaborative effort (4 labs) to test and develop further computational models of episodic and spatial memory by combining human intracranial electrophysiology and computational models. Specifically, the project will explore computational/neural mechanisms underlying cognitive maps, spatial (and episodic) memory, and navigation. The candidate will have two main tasks: 1. develop new and improve existing models, 2. co-develop an analysis pipeline for human single units. Prerequisites are outstanding records in an area relevant to neuroscience. A strong quantitative background in the natural sciences, mathematics, computer science or engineering is also suitable (e.g., physics, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. This project is part of an international collaboration with the Universities of Bonn (Prof. Lukas Kunz), Berlin (Prof. Richard Kempter), and Columbia (Prof. Josh Jacobs). Please direct potential candidates to the ad at: https://www.cbs.mpg.de/stellenmarkt/stellenangebote Reference: PhD17/24 The intended starting dates are as early as possible in 2025. Applications will be considered as long as the above advert is up. You can read more on the group here: https://www.cbs.mpg.de/psychology/neural-computation Best wishes, Andrej Bicanski -- Dr. Andrej Bicanski Neural Computation Group Max Planck Institute for Human Cognitive and Brain Sciences Stephanstrasse 1a, 04103 Leipzig, Germany Email: bicanski(a)cbs.mpg.de <mailto:bicanski@cbs.mpg.de> Tel.: +49 (0)341 9940197

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Fwd: AI Cluster Hiring of UT System Research Excellence Regents' Professorships at UTSA
by Dhireesha Kudithipudi 18 Nov '24

18 Nov '24

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

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Neuroinformatics Cluster Hire at UIUC
by Vlasov, Yurii A 18 Nov '24

18 Nov '24

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

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[seminar.wwtns] World wide VVTNS series: Wednesday, November 20, 2024, at 11:00 am EST| Chris Eliasmith, University of Waterloo
by David Hansel 17 Nov '24

17 Nov '24

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Chris Eliasmith University of Waterloo on the topic of The algebra of cognition The lecture will be held on zoom on Wednesday, November 20, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *In recent years, my lab and others have demonstrated the value of vector symbolic algebras (VSAs) for capturing a wide variety of neural and behavioural results. In this talk I discuss the surprising and compelling variety of tasks and styles of reasoning that are well-suited to descriptions using a specific VSA. These tasks include path integration, navigation, Bayesian reasoning, sampling, memorization, and logical inference. The resulting spiking neural network models capture various hippocampal cell types (grid, place, border, etc.), behavioural errors, and a variety of observed neural dynamics. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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PhD position on predictive representations / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm 17 Nov '24

17 Nov '24

We are seeking for a highly motivated PhD student to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on an MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. We're looking for applicants who: · Have a strong drive to pursue a career in scientific research · Possess independent and critical thinking skills · Excel in collaborative teamwork · Have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab) At CIMeC, you'll have access to cutting-edge research facilities, such as: · A brand new MEGIN TRIUX neo MEG system · A 3T MRI Siemens Prisma · TMS, EEG, and combined TMS-EEG setups · Human intracranial stereotactic EEG · Eye-tracking systems · Kinematic recording systems All equipment is dedicated 100% to research purposes, providing you with the ideal environment for testing your research questions. As a member of our lab and of the wider CIMeC community, you will be part of an international community of students and researchers in a vibrant scientific environment. The working language is English. Our lab enjoys numerous international collaborations, and we offer ample opportunities to engage with the broader scientific community through conferences, workshops, and international meetings, supported by research funding attracted by our lab. Living in Trentino offers a unique combination of natural beauty and cultural richness. Situated among stunning landscapes between the Dolomites and Lake Garda, it provides a serene setting where you can appreciate nature alongside various cultural activities and sports. Trentino is undoubtedly one of the most beautiful regions in Italy, offering an exceptional quality of life alongside your academic pursuits. Deadline to apply is June 24. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. If you are thrilled to contribute to our research in cognitive neuroscience, please send an informal inquiry, including a CV and a brief statement of research interests, to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>. We look forward to hearing from you! Best wishes, Moritz Wurm

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[Meetings] BrainModesBilbao 2024 - Free streaming of the conference
by Asier Erramuzpe Aliaga 17 Nov '24

17 Nov '24

On behalf of the Organization Committee of BrainModesBilbao Since its inception in 2007, the BrainModes conference series has been a beacon for the neuroscience community, drawing attention to the intricate dynamics of brain functionality. These topics are at the forefront of hashtag#neuroscience research, offering novel insights into how the brain operates as a complex system. By focusing on these areas BrainModesBilbao2024 will serve as a vibrant platform for both emerging and established researchers, clinicians, and scholars to exchange ideas, consolidate collaborations, and discuss the latest advancements in the field. https://brainmodes-bilbao-2024.eu/ FREE streaming YouTube! (no registration needed) Nov. 18 - 21, 2024 Check the program below Live-streaming links: 🔗 Monday November 18 (PM) https://lnkd.in/d63r2hXA 🔗 Tuesday November 19 (AM) https://lnkd.in/disMj94P (PM) https://lnkd.in/dXxVFbPp 🔗 Wednesday November 20 (AM) https://lnkd.in/dbvG9fdu (PM) https://lnkd.in/dk6gArpp 🔗 Thursday November 21 (AM) https://lnkd.in/dCzkTeAT This free streaming is made possible by the support of the Euskampus Fundazioa. #BrainModesBilbao plenary speakers: ▪️ Petra Ritter, Charité - Universitätsmedizin Berlin ▪️ Daniel Margulies, CNRS ▪️ Peter A. Robinson, University of Sydney ▪️ Danielle Kurtin, Imperial College London ▪️ Ana Solodkin, The University of Texas at Dallas ▪️ Alex Fornito, Monash University ▪️ Jil Meier, Charité Universitätsmedizin Berlin ▪️ Jakub Vohryzek, Universitat Pompeu Fabra ▪️ Hanna Honcamp, University of Maastricht ▪️ Alessandro Gozzi, Istituto Italiano di Tecnologia ▪️ Marta Xavier, University of Lisbon ▪️ Gustavo Deco, Universitat Pompeu Fabra ▪️ Giulia Petri, École polytechnique fédérale de Lausanne, EPFL ▪️ Maurizio Corbetta, Università degli Studi di Padova ▪️ Izaro Fernandez Iriondo, IIS Biobizkaia ▪️ Viktor Jirsa, INS - Institut de Neurosciences des Systèmes ▪️ Sophia Forsberg Tibblin, hashtag#BCC Basque Center on Cognition ▪️ Joana Cabral, ICVS - Life and Health Sciences Research Institute ▪️ Andrés Lozano, University of Toronto ▪️ Diego Vidaurre, Aarhus University ▪️ Marilyn Gatica, University of London ▪️ Adrián Ponce Alvarez, CFIS - UPC (Polytechnic University of Catalonia) Organizers: ▪️Wael El-Deredy ▪️Joana Cabral ▪️Adolfo LOPEZ DE MUNAIN ARREGUI ▪️Jesus Cortes Supported by Computational Neuroimaging Lab Bilbao Sponsored by Biometriks Health, BrainModes Bilbao 2024 is hosted by Cruces University Hospital. Participating institutions: ▪️Osakidetza ▪️Hospital Universitario Cruces - OSI Ezkerraldea Enkarterri Cruces ▪️IIS Biobizkaia ▪️Universidad del País Vasco/Euskal Herriko Unibertsitatea

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CALL FOR PAPERS - BIOSIGNALS 2025 - DECIDE SPECIAL SESSION IN PERSONALIZED BRAIN MEDICINE
by Vassilis Cutsuridis 15 Nov '24

15 Nov '24

Dear colleagues, You are invited to submit a paper to DECIDE 2025 Special Session<https://biostec.scitevents.org/DECIDE.aspx> hosted by the BIOSIGNALS 2025<https://biosignals.scitevents.org/Home.aspx> conference to be held on 20-22 February 2025 in Porto, Portugal Title: Data- and Theory-Driven Approaches in Personalized Brain Medicine: from Diagnosis to Treatment (DECIDE) Scope: Deciding the right diagnosis, the best treatment and predicting the evolution of the disease is of paramount importance in personalized medicine. Diseases are dynamic and very heterogeneous. Etiologies are complex and often several hypotheses are needed to explain their pathogenesis. This is because studies carried out isolate the effects of a single mechanism and not the interaction of many mechanisms. This leads to a set of conflicting results difficult to interpret. Data-driven (ML/DL) and theory driven (Dynamical models) approaches dealing with diverse data are increasingly used in medicine. Bridging the gap between data- and theory-driven approaches is the central theme of the special session. Real progress in personalized medicine can only be made via such cross-disciplinary interactions. Topics of interest Topics of interest include, but are not limited to: * Computational/mathematical models of drug and stimulation treatments and therapies * Data processing, image and signal reconstruction and enhancement and cross-modality synthesis * Development of a culture of mathematical and computational modelling of brain diseases that will benefit those in clinical practice * Extraction of biomarkers from ‘omics’, signal and imaging data * Machine learning algorithms for prediction of disease evolution * Machine learning algorithms in disease detection and diagnosis * Multi-scale, multi-level models of disease understanding * Translation research on the dynamics of diseases into treatments for age related illnesses Important Dates Paper Submission: December 18, 2024 Authors Notification: January 14, 2025 Camera Ready and Registration: January 22, 2025 Publications Extensions of selected papers will be hosted in a Cognitive Computation journal (Springer-Nature)<https://link.springer.com/journal/12559> special issue organized by the event organizers. Kind regards, Vassilis --- Dr Vassilis Cutsuridis Associate Professor in Computer Science School of Engineering, Computing and Mathematics University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA Email: vassilis.cutsuridis(a)plymouth.ac.uk Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis ________________________________ [https://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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[Meetings] 2025 Nengo Summer School Call For Applications
by Michael Furlong 15 Nov '24

15 Nov '24

Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 10th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/nFYTqieEnSY We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2025*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 1st to June 13th, 2025 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is partly supported by ABR, Inc. We look forward to hearing from you!

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Fwd: Open-rank Faculty Position in Computational Neuroscience at NYU
by Jooyeon Kim 15 Nov '24

15 Nov '24

Dear Moderator, If you could please post the following ad that would be greatly appreciated. Thanks! Best, Joo *Open-rank Faculty Position in Computational Neuroscience* *New York University * *Arts & Science (A&S)* *Center for Neural Science * *Interfolio link: * http://apply.interfolio.com/15776 <http://apply.interfolio.com/157767> *Location* Center for Neural Science *Open Date* Nov 1, 2024 *Deadline* Review of applications will begin Jan 10, 2025 *Description* The Center for Neural Science (CNS) at New York University (NYU) invites applications for a full-time, tenure-track or tenured, open-rank faculty position. We seek scholars who carry out innovative, rigorous, and impactful research in computational neuroscience, preferably with a focus on the theory of neural circuits. At CNS, our faculty have broad interests in experimental and computational neuroscience, and we foster a collaborative and inclusive environment, supportive of new faculty. The successful candidate will be expected to lead an internationally recognized research program, with a commitment to excellence in teaching, and will become part of a vibrant neuroscience community spanning the Arts and Sciences at the Washington Square campus and the School of Medicine. More information about our department can be found at www.cns.nyu.edu. The appointment can begin as early as September 1, 2025, pending administrative and budgetary approval. *Qualifications* Candidates should have a PhD, MD, or equivalent degree, postdoctoral experience, and a strong record of research achievement. Appointees will establish their own independent research program and contribute to the teaching of undergraduate and graduate students. *Application Instructions* Completed applications must be submitted by midnight (EST) on December 31, 2024. Please provide the following materials through Interfolio: • Cover letter that includes a brief summary of your most significant research. accomplishments. • Curriculum vitae. • Concise research statement (no more than three pages) that describes (a) your experience and qualifications and (b) your goals and vision for an independent research program. • Three recommendation letters, submitted by the referees through Interfolio dossier services. • Copies of at least three representative publications. • Teaching statement (no more than one page). • A statement (no more than one page) that outlines the work that the candidate has done or will do to promote diversity, equity and inclusion in their discipline, research, classroom or community. For any questions, please contact Jooyeon Kim jk3062(a)nyu.edu . Diversity and inclusion are important parts of the NYU mission. Statements addressing diversity and inclusion should describe how your (1) scholarship, (2) teaching and mentoring, and/or (3) service and engagement demonstrate your commitment to diversity, equity, and inclusion. We are particularly interested in hearing about (1) concrete steps you have taken (or are planning to take) to foster an inclusive intellectual environment in your research lab, in the classroom, in the department and on campus, and/or in your field more generally, and (2) how these steps connect with your broader views on the topics of diversity, equity, and inclusion. Arts & Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber, who embody the diversity of the United States as well as the global society in which we live. Because broad diversity is essential for creating an inclusive climate, we are committed to the fair treatment of and equal access to opportunity and advancement for all and will assess the many qualifications of all applicants. 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 A&S commitment to diversity, equality, and inclusion, please read here: http://as.nyu.edu/facultydiversity.html *Employment Opportunity Statement* For people in the EU, click here for information on your privacy rights under GDPR: 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 *Pay Transparency* In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $89,000 - $129,000 at the rank of Assistant Professor; $115,000 to $175,000 at the rank of Associate Professor; and $150,000 to $240,000 at the rank of full Professor. 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.

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2 postdoc openings in live rodent recording + computational modeling
by Giorgio Ascoli 15 Nov '24

15 Nov '24

The Ascoli and Dannenberg labs are looking for 2 postdocs for a newly NIH-funded collaborative project: an experimental one for in vivo recordings in live behaving mice, and a computational one for a corresponding large-scale data-driven spiking neural network model. The details and application instructions are at krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf<https://krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf>. If you are/know the right candidate(s), please apply/send them our ways! If not, we'll appreciate your help in circulating. ---------------- Giorgio Ascoli<https://krasnow1.gmu.edu/cn3/ascoli>, PhD Distinguished University Professor Bioengineering Department<https://bioengineering.gmu.edu/>, College of Engineering & Computing<https://cec.gmu.edu/> Neuroscience Program<https://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study Director, Center for Neural Informatics, Structures, & Plasticity<https://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<https://www.gmu.edu/>, Fairfax, VA 22030-4444 (USA) Author of "Trees of the Brain, Roots of the Mind<https://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>" (MIT Press, 2015<https://mitpress.mit.edu/9780262028981/trees-of-the-brain-roots-of-the-mind/>) Founding Editor-in-Chief, Neuroinformatics<https://link.springer.com/journal/12021> AIMBE<https://aimbe.org/> fellow

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Workshop Announcement: Multiscale Modeling with MOOSE at ICSB 2024
by Subhasis Ray 14 Nov '24

14 Nov '24

Dear Colleagues, We are conducting a tutorial workshop on "Multiscale Modeling with MOOSE," on 30th November, 2024 at the 23rd International Conference on Systems Biology (ICSB) to be held at IIT Bombay, India ( https://www.icsb2024.com/workshops) The objective of this workshop is to familiarize participants with MOOSE (( https://moose.ncbs.res.in) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. Key details: - Workshop Date: November 30, 2024 at IIT Bombay - Format: In-person - Registration: Free (only available to registered ICSB 2024 participants), please register here: https://docs.google.com/forms/d/e/1FAIpQLScklji250_DTrr3UJgqHyWgGxev3qdbWLe… - Registration deadline for the workshop: 23rd November 2024 - Support: Seats for this workshop are limited and participants will receive a maximum travel support of INR 1000. - Food: Hot beverages, snacks and lunch will be provided for free. The workshop is being jointly organized by Dr. Subhasis Ray (CHINTA and IAI, TCG Crest, Kolkata) and Prof. Upinder S. Bhalla (NCBS, TIFR, Bangalore) with funding from the Kavli Foundation. Best regards, Subha --- Subhasis Ray, PhD Associate Professor CHINTA and IAI, TCG CREST Salt Lake, Sector-5 Kolkata, India Webpage: https://www.tcgcrest.org/people/subhasis-ray/ Lab website: https://rayslab.github.io

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Be Part of COMPLEX NETWORKS 2024 – Register Today for Istanbul’s Premier Event in Network Science!
by Genevieve Jourdain-Lambert 13 Nov '24

13 Nov '24

*December 10 – 12, 2024 | Istanbul, Turkey* *13th International Conference on Complex Networks & Their Applications* Join us in Istanbul for an inspiring, knowledge-packed three days as leading researchers and practitioners worldwide come together to explore the latest advances in network science. This year's conference will feature insightful keynotes, skill-building tutorials, and numerous opportunities for professional networking and collaboration. *Registration*: complexnetworks.org/registration/ *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> - Central European University, Austria - *Higher Order Network Science* · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> - Northeastern University, USA *– Stability of Graph Machine learning Models* · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> - Tampere University, Finland – *From Digital Twins to Complexity Data Science* · Filippo Menczer <https://cnets.indiana.edu/fil/> - Indiana University, USA – *AI and Social Media Manipulation: the Good, the Bad & the Ugly* · Luciano Pietronero <http://www.lucianopietronero.it/>* - *University of Rome, Italy – *Economic Fitness: Concepts, Methods & Applications* *TUTORIALS (December 9, 2024)* Enhance your skills with our pre-conference tutorials (separate registration required): · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> - University of Padova, Italy – *Unveiling Echo Chambers & Users Opinions on Online Social Media* · Clara Stegehuis <https://www.clarastegehuis.nl/> - Twente University, The Netherlands – *Mathematical Analysis & Applications of Network Motifs* *Why Attend?* · *Expand Your Knowledge* with the latest insights from leading voices in complex network science. · *Build Your Network* at coffee breaks, receptions, and social events designed to foster collaborations. · *Engage and Contribute* to discussions that shape the future of complex networks research. Don’t miss this unique opportunity to be part of a vibrant, global community at the intersection of research and application. *Looking forward to welcoming you in Istanbul!* The organizers

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COSYNE 2025: Travel grants; Registration is open
by Tomas Hromadka 12 Nov '24

12 Nov '24

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open. Travel grants applications are now open. Travel grant applications deadlines: *06 December 2024, 11.59PM PST (Undergraduate Travel Grant)* 06 January 2025, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. Participants include pure experimentalists, pure theorists, and everything in between. ---------------------------------------------------- TRAVEL GRANTS ---------------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America or having other declared needs. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- COSYNE 2025 INVITED SPEAKERS ----------------------------------------------------- Max Bennett (Alby) Beth Buffalo (U Washington) Patricia Churchland (UCSD) Eva Dyer (GATECH) Greg Field (UCLA) Julijana Georgieva (TU Munich) Gaby Maimon (Rockefeller U) Cris Niell (U Oregon) Blake Richards (McGill) Fan Wang (MIT) Tim Vogels (IST Austria) Lenka Zdeborova (EPFL) ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emilie Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (U Edinburgh) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details.

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Organizing scientific events in neuroscience - Online Workshop, Dec 5th
by Mateusz Kostecki 12 Nov '24

12 Nov '24

Hello! We are happy to announce our new workshop! Organizing scientific events—workshops, summer schools, conferences, symposia—seems like a complex and overwhelming endeavor. You need to design the structure of your event, secure funding, invite guests, promote it, process payments, and contact participants; you need to take care of catering, flights, hotels, and dates. It is a lot, but with a proper approach, some knowledge, and the right people around you, you can organize a successful event even with limited resources. During our workshop, you will learn how to: - design your event, select its target and set goals - secure funding: find sponsors, write grant applications - promote your event on social media and mailing groups - how to approach graphic design - how to contact guests and prepare invitations - how to proceed with funding: event fees, grants, sponsors’ money - how to ensure a good atmosphere - what to do afterward And much more! The event will take place on Thursday, Dec 5th at Nencki Institute, 10 AM – 1 PM. The cost of the workshop is EUR 25. Please find the application form here: https://nenckiopenlab.org/organizing-scientific-events/. The deadline for applications is Nov 25th. Best, NOL Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Call for Workshop Proposals on Complex Systems at FRCCS 2025
by Hocine Cherifi 12 Nov '24

12 Nov '24

The FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/> Organizing Committee invites proposals for full- or half-day workshops on Complex Systems, taking place May 21-23, 2025. We welcome multidisciplinary workshops that foster collaboration and explore emerging topics. Workshops can include discussions, demos, panels, and more. Key Details: - Proposal Deadline: January 12, 2024 - Workshop Format: Full-day (7 hours) or Half-day (4 hours), with breaks - Organizer Responsibilities: Manage sessions, issue a Call for Papers, and coordinate reviews - Incentives: Waived registration for workshops with over six contributions Submission Requirements (2-4 pages, PDF): - Title, overview, organizers, format, duration, logistics needs, and expected participants. Accepted workshop contributions will appear in the FRCCS 2025 companion book. Select contributions may be invited for publication in partner journals. Submit your proposal to the Workshop Proposal Track on CMT : https://cmt3.research.microsoft.com/FRCCS2025/ For full details, visit the FRCCS website <https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/>, ( https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/) <https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/> or contact the Workshop Chair: Maria Malek (maria.malek(a)cyu.fr) Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Brains in Space Colloquium - 19.11.24 - Russell Epstein - University of Pennsylvania
by Vinita Samarasinghe 12 Nov '24

12 Nov '24

On behalf of Sen Cheng, Sandhiya Vijayabaskaran and Laurenz Wiskott from the Institute of Neural Computation, Faculty for Computer Science, Ruhr University Bochum, I invite you to attend the colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". On Tuesday November 19th Russell Epstein, U. Penn, will talk about "*Spatial knowledge and navigational strategies in the human brain*" *Abstract: *To navigate from place to place, an agent needs to have knowledge of the spatial structure of the world and a strategy for using that knowledge to choose a route. In this talk, I will describe work from my lab that investigates how these core elements of navigation are implemented by the human mind/brain. First, I will describe studies that explore the organization of spatial knowledge ("cognitive maps"). Participants in these experiments were first familiarized with virtual environments containing multiple objects and then scanned with fMRI while recalling the spatial relationships between the objects. Analysis of behavior and fMRI activation patterns revealed that participants' cognitive maps were not simple Euclidean reference frames—rather, they had a rich structure that reflected the environments' segmented and hierarchical organization. Second, I will describe a study that explores the algorithms that people use to navigate to a goal. Participants in this study were scanned with fMRI while performing a "taxi-cab" task that required them to flexibly navigate to multiple possible locations within a virtual city. We found that people's behavioral choices could be explained by a predictive coding (successor representation) model, and that fMRI signals in the hippocampus and neocortical spatial memory regions tracked the different computational components of the model. Together these findings illuminate the representations that people form of environmental spaces and the algorithms they use to navigate to goal locations within these spaces. This is a virtual event and takes place from 4 - 5.30 pm (CET) Zoom link: https://ruhr-uni-bochum.zoom-x.de/j/67839364827?pwd=RfcIgK8OUfjkwWTNCf80ARX… [Meeting ID: 678 3936 4827; Passcode: 841644] The complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . * * This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. Best, Vinita -- Best, Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience <https://rub.de/cns> Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de

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Faculty positions in Psychology and Cognitive Science (Azim Premji University, Bengaluru, India)
by Ryan Philips 12 Nov '24

12 Nov '24

Dear Colleagues, Azim Premji University has launched an exciting new interdisciplinary major in psychology and cognition, focusing on themes like human cognitive development in the life cycle, mental health and well-being, and machine intelligence and learning. The programme aims to provide holistic insights into the interplay of the mind and behaviour by drawing from various disciplines such as philosophy, neuroscience, psychology, computer science, and socio-cultural contexts. We are specifically looking for faculty who specialise in — Developmental Psychology Cognitive Sciences Exceptional candidates with expertise in any other related field are also encouraged to apply. We look for applicants who resonate with the purpose of the University and are keen to contribute to the design, development, and delivery of the courses in psychology and cognitive science in our undergraduate programme. The programme is residential for students, and faculty are expected to contribute to research, teaching, and mentoring students, and help build a vibrant community of learning. Requirements The ability to teach a broad range of courses including courses in psychology, neuroscience, and computation. An advanced degree in psychology, neuroscience, or related areas. The ability and interest in teaching and mentoring a diverse body of students. The ability to combine insights from psychology, neuroscience, and relevant areas of computer science, and an interest in the connections between psychology and broader social issues in economics, politics, and education are an advantage. Significant experience in teaching/clinical practice is an advantage, but not a necessity. Selected applicants will be mentored to develop their teaching. Application link: https://azimpremjiuniversity.edu.in/jobs/faculty-positions-in-psychology-an… Regards, Ryan. Ryan Thomas Philips, PhD, Assistant Professor, School of Arts and Sciences, Azim Premji University. https://azimpremjiuniversity.edu.in/people/ryan-thomas-philips https://manaslab.com

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Call for Papers – NAT’25 Conference on Neuroadaptive HCI and AI in Berlin!
by Stefan Glasauer 11 Nov '24

11 Nov '24

[PLEASE EXCUSE MULTIPLE POSTINGS] Dear Colleagues, We are excited to invite you to submit your contributions to NAT'25: Towards Neuroadaptive HCI and AI, a unique interdisciplinary conference that will take place from April 7-10, 2025, at the scenic Abion Spreebogen Hotel in Berlin, Germany. Organized by the Society for Neuroadaptive Technology and Brandenburg University of Technology, NAT'25 unites pioneers in Neuroadaptive Technology, AI, Machine Learning, and related fields. The conference offers an opportunity to explore advances in applications, explorations, neurophysiological data integration, adaptive systems, and AI. Covering topics from passive BCIs to neurofeedback, machine learning, and neuroethics, NAT'25 aims to foster interdisciplinary collaboration and shape the future of human-machine interaction. Key Dates: Website opens for submissions: December 1, 2024 Submission deadline: January 15, 2025 Author feedback: February 7, 2025 We invite abstracts on both novel research and already published work that could benefit from reaching the diverse audience at NAT'25. Accepted abstracts will appear in the conference proceedings, and participants will have opportunities to develop collaborative publications on key conference themes, including roadmaps, theoretical frameworks, and ethical considerations. Register Early! Early bird registration is available until January 1, 2025. For details on fees, topics of interest, and submission guidelines, please visit our conference page: neuroadaptive.org <https://neuroadaptive.org/>. For any questions, please feel free to reach out at neuroadaptive(a)b-tu.de <mailto:neuroadaptive@b-tu.de>. We look forward to your contributions and to welcoming you to Berlin! Warm regards, Thorsten O. Zander Conference Chair, NAT'25 Brandenburg University of Technology, Germany -- Prof. Dr. rer. nat. Thorsten O. Zander Lichtenberg Professorship Neuroadaptive Human-Computer Interaction https://www.b-tu.de/en/fg-neuroadaptive-hci/ Tel: + 49 355 5818 - 613 Brandenburg Technical University -- Cottbus-Senftenberg Faculty 1 - MINT Institute for Medical Technology Lipezker Straße 47 03048 Cottbus

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Fwd: [seminar.wwtns] World wide VVTNS series: Wednesday 13, 2024, at 11:00 am EST| Friedemann Zenke, University of Basel
by David Hansel 10 Nov '24

10 Nov '24

---------- Forwarded message --------- From: Theoretical Neuroscience <theoretical.neuroscience.seminar(a)gmail.com> Date: Sun, Nov 10, 2024 at 10:53 AM Subject: [seminar.wwtns] World wide VVTNS series: Wednesday 13, 2024, at 11:00 am EST| Friedemann Zenke, University of Basel To: <seminar.wwtns(a)listes.u-paris.fr> [image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Friedemann Zenke, University of Basel on the topic of Learning invariant representations through prediction The lecture will be held on zoom on Wednesday, November 13, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page > > *Abstract: *How do synapses in the middle of the brain know how to adjust their weight to advance a behavioral goal (i.e. learning)? This is referred to as the synaptic ‘credit assignment problem’. A large variety of synaptic learning rules have been proposed, mainly in the context of artificial neural networks. The most powerful learning rules (e.g. back-propagation of error) are thought to be biologically implausible, whereas the widely studied biological learning rules (Hebbian) are insufficient for goal-directed learning. I will describe ongoing work focused on understanding synaptic learning rules in the cortex in a brain-computer interface task. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

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Multiple PhD positions at the University of Bath
by Georgios Exarchakis 09 Nov '24

09 Nov '24

*Advance Your Research Career with a PhD at the University of Bath – We Seek Exceptional Candidates!* Are you driven to tackle complex challenges in *Artificial Intelligence*, *Machine Learning*, and *Computer Vision*? The University of Bath is calling for applications from outstanding candidates eager to pursue fully funded PhD projects. Join a top-ranked university recognized for research excellence, where you’ll work at the forefront of innovation in: · Machine Learning Methods for Invariant Representations of High-dimensional Data <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Georgios Exarchakis and Prof. Michael Tipping · Cue Representation Learning for Interpretable Video Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Davide Moltisanti and Dr. Vinay Namboodiri · Energy-efficient and Affordable Training of Large-scale Deep Learning Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Rohit Babbar and Dr. Vinay Namboodiri · Learning with Limited Data for Unlearning in Large Multimodal Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Da Chen, Dr. Vinay Namboodiri · Mathematically and Intuitively Understandable Deep Learning <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Mingzhi Dong and Prof. Michael Yang · 3D Scene Synthesis Using Diffusion Models and Large Language Models in Multimodal Generative AI <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Prof. Michael Yang and Dr. Mingzhi Dong · Exploring visual arts with computer vision <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>, with Dr. Deblina Bhattacharjee and Prof. Peter Hall · Probabilistic Decision Dynamics in Machine Learning <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-p…>, with Prof. Michael Tipping and Prof. Özgür Şimşek *Why Join Bath? - Pursue Excellence* – We’re University of the Year 2023 (Sunday Times) and consistently ranked among the UK's best for research and student experience. *Collaborate Across Disciplines* – Work within our EPSRC-funded CAMERA Centre and partner with industry leaders like Microsoft, NVIDIA, and Adobe. *Outstanding Location* – Study in Bath, a city of rich cultural heritage, balancing academic excellence with quality of life. ‍ We seek *highly motivated, excellent candidates* with a passion for transformative research. If you’re ready to make a meaningful impact and contribute to some of the most exciting fields in AI, apply now and help shape the future with us at Bath! ‍ Discover more and apply: University of Bath PhD Opportunities ‍ *Enquiries and Applications:* Informal enquiries are encouraged and should be directed to supervisor Dr. Georgios Exarchakis, <https://researchportal.bath.ac.uk/en/persons/georgios-exarchakis> ge394(a)bath.ac.uk Formal applications should be submitted via the University of Bath’s online application form <https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp…> for a PhD in Computer Science prior to the closing date of this advert. ‍ *IMPORTANT:* When completing the application form: 1. In the *Funding your studies* section, select ‘University of Bath URSA’ as the studentship for which you are applying. 2. In the *Your PhD project* section, quote the project title of this project and the name of the lead supervisor in the appropriate boxes. *Failure to complete these two steps will cause delays in processing your application and may cause you to miss the deadline.* More information about applying for a PhD at Bath may be found on our website <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…>. ‍ *Equality, Diversity and Inclusion:* We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups. If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement. ‍ *Funding Notes* Candidates may be considered for a University of Bath studentship tenable for 3.5 years. Funding covers tuition fees, a stipend (£19,237 p/a in 2024/5) and access to a training support budget.

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PhD/Postdoc at Max Planck: how do our internal priors shape what we hear?
by Alejandro Tabas 07 Nov '24

07 Nov '24

Deadline approaching for an ERC-funded PhD/Postdoc position on how our priors shape the way we experience reality. Methods include ultra-high-resolution fMRI of the auditory pathway at 7-Tesla and computational modelling. The position will be based at the Max Planck Institute CBS in Leipzig (www.cbs.mpg.de) Candidates from both, cognitive and computational backgrounds are encouraged to apply! Deadline: 17th November More details and application: PhD position: https://recruitingapp-5218.de.umantis.com/Vacancies/416/Description/2/Defau… Postdoc position: https://recruitingapp-5218.de.umantis.com/Vacancies/417/Description/2/Defau… For informal enquires on the project or the position please contact Alejandro Tabas <tabas at cbs dot mpg dot de.

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Master 2 research internship and/or PhD at the CerCo laboratory (Toulouse, France): Modeling motion and depth processing in primate visual cortex using spiking neural networks
by COTTEREAU Benoît 06 Nov '24

06 Nov '24

Master 2 Research Internship + PhD Benoit Cottereau / Timothée Masquelier Cerco laboratory (CNRS UMR 5549), Toulouse SV3M & NeuroAI Teams Modeling motion and depth processing in primate visual cortex using spiking neural networks Keywords: Computational neurosciences, Vision, Artificial intelligence, Spatial perception, Depth/motion processing, Spiking neural networks. Type of positions: M2 internship, M2 internship followed by a PhD, or PhD directly. Duration: 5-6 months (M2) – 3 years (PhD). Stipend: Standard French salaries (~650€/month for the M2 and ~2130€/month gross for the PhD). Starting date: early 2025. Place: Centre de Recherche Cerveau et Cognition (CERCO), UMR 5549 (CNRS – Univ Toulouse 3), Pavillon Baudot CHU Purpan, Toulouse, France. Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier(a)cnrs.fr<mailto:timothee.masquelier@cnrs.fr>) In primates, neuronal processing of visual information occurs within two main pathways. The ventral pathway (or ‘what’ pathway) underlies cognitive functions such as faces or object recognition whereas the dorsal pathway (or ‘where’ pathway) allows visually guided actions such as navigation or manipulation of objects. In recent years, numerous studies in computational neurosciences used deep neural networks to model neuronal processing within the ventral pathway. Much less is known about treatments carried out along the dorsal pathway. This multidisciplinary project at the interface between AI, computational neurosciences and biological vision aims at modelling motion and depth processing along the dorsal pathway of the primate visual system. In order to reproduce the very low energy consumption of the primate brain, the developed models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras . We will be particularly interested in the processing of higher-level forms of motion (optic flow, motion-in-depth, biological motion). The responses of the neural networks after (supervised or unsupervised) training will be compared to biological data from the literature (for example with electrophysiological data recorded in non-human primates, see for example Duffy and Wurtz, 1991) or acquired in the CerCo laboratory. The candidates should be willing to work in an international environment which involves Singapore and France, have a very good level in English (French is not mandatory), excellent mathematical and programming skills (in particular in Python) and a keen interest in the brain. Experience with deep learning libraries (e.g. PyTorch) is desirable. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long-term stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Applications should be sent to benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr> and timothee.masquelier(a)cnrs.fr<mailto:timothee.masquelier@cnrs.fr> References: - Cuadrado, J., Rançon, U., Cottereau, B. R., Barranco, F., & Masquelier, T. (2023). Optical flow estimation from event-based cameras and spiking neural networks. Frontiers in Neuroscience, 17, 1160034. - Duffy, C. J., & Wurtz, R. H. (1991). Sensitivity of MST neurons to optic flow stimuli. II. Mechanisms of response selectivity revealed by small-field stimuli. Journal of neurophysiology, 65(6), 1346-1359. - Rançon, U., Cuadrado-Anibarro, J., Cottereau, B. R., & Masquelier, T. (2022). Stereospike: Depth learning with a spiking neural network. IEEE Access, 10, 127428-127439. ************************************************************************************************************ Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at IPAL (IRL 2955, Singapore) and CerCo (UMR 5549, Toulouse) laboratories, Adjunct associate professor in computer science at the National University of Singapore (NUS), Director of the CerCo SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University webpages: http://cerco.cnrs.fr/page-benoit-cottereau/ https://ipal.cnrs.fr/benoit-cottereau-personal-page/ e-mail: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr> phone: (+65)-8302-2615

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Two fully funded PhD positions (computational neuroscience and AI)
by Jie Mei 05 Nov '24

05 Nov '24

* apologies for cross-posting * Dear colleagues, The Wiring, Neuromodeling and Brain Lab at IT:U Interdisciplinary Transformation University Austria is looking for two PhD students to work on neuromodulation-aware artificial intelligence. We are interested in (1) the role of individual neuromodulators (e.g., dopamine, serotonin, and acetylcholine) in initiating and implementing diverse biological and cognitive functions, (2) how competition and cooperation among neuromodulators enrich single neuromodulator computations, and (3) how multi-neuromodulator dynamics can be translated into learning rules for more flexible, robust, and adaptive learning in artificial neural networks (ANNs). We are looking for two motivated PhD students with a strong interest in the intersection of neuroscience, computational modeling, and AI. Ideal candidates will have completed or be in the final stages of a master’s degree in computer science, mathematics, physics, computational neuroscience, or other relevant fields. Programming skills, a solid understanding of computational modeling, and the ability to work and think independently are required. Experience with deep learning frameworks such as TensorFlow and PyTorch is preferred. Working knowledge of spiking neural networks and compartmental models is a plus. Start date: Jan-Mar 2025. Apply by Nov 30, 2024: https://it-u.at/en/research/research-groups/computational-neuroscience/ For more information, please visit: https://majorjiemei.wixsite.com/wnblab If you have any questions, please contact Dr. Jie Mei (jie.mei(a)it-u.at) Best regards Jie Mei Assistant Professor for Computational Neuroscience [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] Altenberger Straße 66c Science Park 4 | OG 2 4040 Linz | Austria ATU79114879 www.it-u.at<https://www.it-u.at/> +43 676 / 851307 254 jie.<mailto:vorname.nachname@it-u.at>mei(a)it-u.at<mailto:vorname.nachname@it-u.at> Unsere Datenschutzerklärung finden Sie unter https://it-u.at/en/privacy/. Der Inhalt dieser E-Mail ist vertraulich und kann rechtlich besonders geschützte Informationen beinhalten. Wenn Sie nicht der beabsichtigte Empfänger sind, dürfen Sie diese E-Mail oder die angeschlossenen Dateien weder bearbeiten, verwenden, weitergeben noch reproduzieren. Sollten Sie nicht der vorgesehene Empfänger sein, ersuchen wir Sie höflich, sich sofort mit uns ins Einvernehmen zu setzen und die E-Mail und sämtliche angeschlossene Dateien zu löschen. You can find our Privacy Policy here https://it-u.at/en/privacy/. The content of this email is confidential and may also contain legally privileged information. If you are not the intended recipient you may not process, use, transmit or reproduce this email or any enclosed attachments. If you have received this email by mistake, please notify the sender immediately and delete this email and any enclosed attachments from your system.

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Tenured or Tenure-Track Faculty Position, Fall 2025 - Computational Neuroscience- UT Austin
by Weatherly, Christopher J 05 Nov '24

05 Nov '24

Last day to apply: Dec. 3. https://apply.interfolio.com/156045 The Oden Institute for Computational Engineering and Sciences and the Department of Neuroscience at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position beginning Fall 2025 in the area of Computational Neuroscience. We are interested in candidates with expertise in the development and use of AI and machine learning approaches to solve questions in fundamental and translational neuroscience. Examples include analysis of large-scale, multimodal neural and behavioral recordings, biophysical modeling of molecular and cellular interactions across time scales, and use of digital twins for real time predictive analytics of behavior, circuit function, and molecular interactions. Expertise in fundamental and applied machine learning and artificial intelligence for gaining insights into neuropsychiatric disease states is of particular interest. This search is being conducted jointly between the Oden Institute and the Department of Neuroscience as one of several faculty lines committed to expanding the development of AI for Science and Scientific Machine Learning at UT Austin. The successful candidate will have half of their teaching duties in the Oden Institute’s Computational Science, Engineering and Mathematics graduate program and half in the Department of Neuroscience. This position is open to applicants at all ranks: assistant, associate, and full professor, including the possibility of appointment as a chaired professor for candidates with exceptional qualifications. For more information about the Oden Institute for Computational Engineering and Sciences, please visit https://www.oden.utexas.edu<https://www.oden.utexas.edu/>. For more information on the Department of Neuroscience, please visit https://neuroscience.utexas.edu/. Qualifications Candidates must have a Ph.D. degree in neuroscience, molecular biology, biochemistry, engineering, biophysics, computational science or a related field. In addition to the ability to teach neuroscience classes at the undergraduate and graduate levels, the successful candidate must be qualified to teach graduate classes in computational science, engineering and mathematics. The successful candidate will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning styles and abilities. Further, the successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession. Application Instructions Interested applicants should submit the following materials: (1) a cover letter, (2) curriculum vitae, (3) research statement (max four pages), (4) teaching and mentoring statement (max three pages), and (5) either three letters of reference (candidates for an assistant or associate professor position) or the names of three references (candidates for a full professor position). Candidates should address their submission to the Computational Neuroscience Faculty Search Committee. Review of applications will begin November 11, 2024, and will continue until an appropriate candidate is identified. We anticipate virtual interviews in December and in-person campus interviews in January 2025. The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected. Please address questions to either co-chair of the Computational Neuroscience Faculty Search Committee: Dr. Robert O. Messing (romessing(a)austin.utexas.edu<mailto:romessing@austin.utexas.edu>) or Dr. David Paydarfar (david.paydarfar(a)austin.utexas.edu<mailto:david.paydarfar@austin.utexas.edu>). ** For application questions, contact Ruth Park (ruth.park(a)oden.utexas.edu<mailto:ruth.park@oden.utexas.edu>).

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EMBO Course “Quantifying Astrocyte Physiology by Models from Genome to Circuits,” April 10–11, 2025, University of Padua, Padua, Italy
by De Pitta, Maurizio 04 Nov '24

04 Nov '24

Dear colleagues, Please share and disseminate through your network. On behalf of all the organizers, I am happy to announce that registrations are now open for the EMBO Course on “Quantifying Astrocyte Physiology by Models from Genome to Circuits” hosted by the University of Padua, in Padua, Italy, on April 10–11, 2025 https://sites.google.com/view/embo-satellite-meeting/home The course is a Satellite Event of the EMBO Workshop “Astrocytes: From Molecules to Systems,” which will follow in nearby Venice a couple of days later (April 14–18, 2025). The EMBO Course “Quantifying Astrocyte Physiology by Models from Genome to Circuits” is a two-day intensive course aimed at teaching essential modeling approaches to harness astrocyte biology revolving around four main themes such as (i) astrocyte genomics, (ii) intracellular calcium signaling, (iii) tripartite synapses, (iv) neuron-astrocyte networks. The course is open to researchers of any level in the Academia and Industry. Registration Policy Attendance to the Course is limited to 50 participants due to limited seating. Registrants that are also planning to attend the EMBO Workshop “Astrocytes: From Molecules to Systems” should register through this latter’s website: https://meetings.embo.org/event/25-astrocytes People who will not be selected to attend the EMBO Workshop “Astrocytes: From Molecules to Systems” can still opt to participate in the course by registering through the course website: https://sites.google.com/view/embo-satellite-meeting/home Thank you for your consideration. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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