- Comp-neuro - lists.cnsorg.org

Join COMPLEX NETWORKS 2025 – Explore the Full Program & Register Now

by Hocine Cherifi

Dear Colleagues, We are pleased to invite you to participate to *COMPLEX NETWORKS 2025* in *Binghamton, New York, USA*, from *December 9 to 11, 2025*. The *final program* is now available: 📄 *Program Download:* [ https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=… ] <https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=…> 🌐 Also accessible soon on https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> This year’s conference will feature: 🎓 *Tutorials (December 8):* · *Yian Yin* (Cornell University): *Toward a Quantitative Understanding of Failure* · *Brennan Klein* (Northeastern University): *Networks, Shapes, Maps, and More* 🎤 *Keynote Speakers (December 9–11):* · *Kimberley Glass* (Harvard Medical School): *Network Modeling for Precision Medicine* · *Mark Newman* (University of Michigan): *Networks and Ranking in Sports, Markets, and Society* · *Michelle Girvan* (University of Maryland): *Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data* · *Luis Bettencourt* (University of Chicago): *The Networks of Cities: From Complex Infrastructure to Human Development* · *David Stark* (Columbia University): *“This is not a Test!”: Testing After Preparedness* In addition to these highlights, the program includes *three full days of oral, lightning, and poster sessions* covering all aspects of *network science, computational social science, and machine learning on graphs*, along with *networking events* such as the Welcome Reception and Gala Dinner. 👉 *Register now:* [https://complexnetworks.org/registration/] <https://complexnetworks.org/registration/> We look forward to welcoming you in *Binghamton* this December for an inspiring and collaborative edition of COMPLEX NETWORKS. Best regards, *Hocine Cherifi* General Co-Chair – Complex Networks 2025 📍 https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> Join us at COMPLEX NETWORKS 2025 <https://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/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

Oct. 30, 2025

CRCNS 2025: Registration closes tomorrow at midnight!

by Garrison Cottrell

Hi folks - Sorry for the late notice, as registration is going to close tomorrow, but even if you are not funded by the *NSF Collaborative Research in Computational Neuroscience program,* you are welcome to attend our PI's meeting, just prior to the SfN meeting, November 13th and 14th on the UCSD campus. The tentative meeting schedule is here <https://inc.ucsd.edu/events/crcns/2025/program.php>, and registration is here <https://urldefense.com/v3/__https://na.eventscloud.com/ereg/index.php?event…>. Keynote speakers are Terry Sejnowski and Bruno Olshausen. cheers, Gary Cottrell

Oct. 29, 2025

Postdoctoral Fellowships at Yale's Wu Tsai Institute (Deadline Nov 10)

by Dan Levenstein

The Wu Tsai Postdoctoral Fellowships <https://wti.yale.edu/initiatives/postdoctoral> are now open to applications. Please share this email with early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous stipend for up to 3 years, discretionary funds and additional funding opportunities, access to cutting-edge facilities, protected time and programmatic opportunities for professional development, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with single mentors while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. Candidates are encouraged to reach out to any of the over 180 Wu Tsai Faculty Members <https://wti.yale.edu/humans/faculty>. The deadline for applications is November 10. Candidates can find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Feel free to forward this email and encourage scientists who might be interested to apply. For questions, please contact wti(a)yale.edu <mailto:wti@yale.edu>.

Oct. 28, 2025

[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student EXPO & Competition @ Neuroscience 2025

by NeuroDesign in HRI

Dear Colleagues, We hope this information finds you well and aligns with your interests. Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the NeuroDesign in Human-Robot Interaction (HRI) Student Competition (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! 🌟 We're thrilled to announce an exciting new update! The NeuroDesign in HRI Student EXPO & Competition has been scheduled again as a “Hybrid” event (online + onsite), co-located with Neuroscience 2025 ( https://www.sfn.org/meetings/neuroscience-2025) in San Diego on November 19, 2025. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 Final Submission Deadline: Monday, November 10, 2025 If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your 5-minute pitch spot: (1) Project Title (necessary) (2) Abstract (~100 words) (necessary) (3) Choose One of the following (choose one) (necessary): 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred) You can submit your materials directly through our Google Form: 👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —or simply reply to the email (✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). 🏆 Awards & Recognition For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines Highlights include: 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! 📅 Key Dates 🔺 Final Submission Deadline: November 10, 2025 🔺 Event Date: November 19, 2025 (San Diego & Online) Join us in shaping the future of human-machine synergy—where your creativity fuels the innovation of tomorrow. We look forward to celebrating your ideas and visionary work! With warm regards, The NeuroDesign in Human-Robot Interaction Team NeuroDesign in HRI Student EXPO & Competition Co-located with Neuroscience 2025

Oct. 28, 2025

PhD student positions in computational neuroscience / machine learning / bioinformatics

by Philipp Berens

We are hiring two PhD student for machine learning projects about (1) spatial transcriptomics in the retina and (2) using biophysical modeling to understand energy consumption in the retina! In project (1), we want to better understand how neurons in the retina change their function and genetics over time. During your PhD, you will develop novel probabilistic models for cutting-edge data acquired in collaboration with Thomas Euler and Shahar Alon. As an ideal candidate, you are curious about open questions in neuroscience, and passionate about using your datascience skills to merge these data with previous datasets across modalities (Calcium imaging, spatial transcriptomics, single-cell transcriptomics) to get to novel insights about the retina and the visual system. https://jobs.medizin.uni-tuebingen.de/Job/6816/PhD-student-in-bioinformatic… In project (2), we want to use biophysical modeling to understand energy consumption in the retinaand integrate the resulting models with a deep reinforcement learning framework! The project will allow you to work with cutting-edge differentiable simulator for understanding principles of neural coding. This PhD is part of aDeutsche Forschungsgemeinschaft (DFG) - German Research Foundation <https://www.linkedin.com/company/deutsche-forschungsgemeinschaft/>-funded iRTG "limits2vision" (https://limits2vision.net/ <https://limits2vision.net/>) betweenUniversity of Tübingen <https://www.linkedin.com/company/eberhard-karls-universit-t-t-bingen/>andUniversité Paris-Sorbonne <https://www.linkedin.com/company/lettres-sorbonne-universite/>. https://jobs.medizin.uni-tuebingen.de/Job/6831/PhD-student-computational-ne… Both post will be filled as soon as possible. -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

Oct. 27, 2025

Meetings - 2026 Nengo Summer School Call For Applications

by Madeleine Bartlett

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 11th 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/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** 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, creating models to account for 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, 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 * build models to account for 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 * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 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: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

Oct. 27, 2025

Ph.D. position in event-based computing / spiking networks at Champalimaud, Lisbon

by Christian Machens

PhD position in computational neuroscience (event-based computing / spiking networks) As part of a Marie-Curie Doctoral Network (ELEVATE <https://www.elevate-dn.eu/index.php/about/>), we are offering a PhD student position. The proposed project sits a the interface of computational neuroscience and neuromorphic computing, and is embedded within a strong network of European academic and industrial partners. ENVIRONMENT: The student will be part of the Theoretical Neuroscience lab <https://www.machenslab.org/>, led by Christian Machens, which is hosted at the Champalimaud Centre for the Unknown in Lisbon, Portugal. The Champalimaud Foundation <https://www.fchampalimaud.org/> is a private, non-profit institute with a vibrant and highly international academic community. Many groups work in the field of systems and computational neuroscience, <https://www.fchampalimaud.org/champalimaud-research> providing a stimulating and exciting work environment. The student will also interact with the training network ELEVATE <https://www.elevate-dn.eu/index.php/about/> and spend several months at Rodolphe Sepulchre <https://sites.google.com/site/rsepulchre/>‘s lab at KU Leuven, Belgium. PROJECT: Across the animal world, biological networks are made up of different types of neurons. The most prominent division is that between excitatory (E) and inhibitory (I) neurons. However, modern AI system as well as most neuromorphic systems ignore this division and assume only one type of neuron. In this project, we will study the specific functional or structural qualities arising from a division into E and I neurons, and work out any potential benefits. One key design feature of networks with E and I neurons is that they are composed of intrinsically unstable subsystems, namely recurrently connected E neurons, that are controlled and stabilized by other subsystems, namely I neurons. The benefits of designing and controlling intrinsically unstable systems have long been known to engineers in other context, e.g., the desing of modern fighter aircraft. The goal of this project is to use some of these engineering insights in order to investigate how the interplay of excitation and inhibition can be utilized to perform specific computations. Since real neurons communicate with discrete events (spikes), a key aim is to work out the distinct computational roles of inhibitory and excitatory spikes, and apply the concepts to a few example systems. TASKS: * Study the relevant background literature from both engineering and neuroscience fields. Based on geometric and analytical insights from the framework of ‘spike coding networks’, develop analytical or geometric methods to study the roles of excitatory and inhibitory spikes. Develop a few canonical systems and use numerical simulations to demonstrate the role of excitatory and inhibitory populations in computational tasks. * Publish research articles, regular participation in top international conferences to present your work. * Complete an internship at KU Leuven with Prof. Rodolphe Sepulchre * Participate in yearly retreats organized by the doctoral network participants * Support the dissemination of software tools and concepts. SALARY AND CONDITIONS: The salary and benefits will follow standard EU rules. PhD students will receive their degree from the NOVA University of Lisbon. APPLICATION: We are looking for a candidate with strong quantitative skills (e.g., degree in physics, computer science, engineering, etc.) and curiosity about how the brain works. Interested candidates should submit a detailed CV, a cover letter explaining their interest in the position (1 page), a transcript for their BSc and Msc, and the contact information of 2 references to christian.machens(a)neuro.fchampalimaud.org. The application process will remain open until the position is filled. We strive to build a diverse work environment and encourage applications from all qualified individuals irrespective of their gender, age, cultural background, and disability status. Only candidates shortlisted for this position will be contacted for an interview. STARTING DATE: We anticipate a start in the year 2026. The earliest starting date is January 1st, 2026.

Oct. 27, 2025

World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto

by David Hansel

*Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [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 sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *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

Oct. 26, 2025

IMPRS for Language Sciences PhD Fellowships 2026

by Lam, Kevin

** IMPRS for Language Sciences PhD Fellowships 2026 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2026-2030) with a preferred start-date in September or October, 2026. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts by our members: https://www.mpi.nl/imprs-phd-fellowships-2026 | https://www.mpi.nl/imprs The application deadline is 5 January, 2026. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin

Oct. 23, 2025

Open PhD and Postdoc position at El-Boustani Lab (University of Geneva, Switzerland)

by sami_elboustani＠msn.com

The El-Boustani Lab at the University of Geneva (Switzerland) is looking for a highly motivated PhD student and Postdoctoral fellow to research the plasticity mechanisms underlying the learning of goal-directed sensorimotor associations in mice. This project involves whole-brain mappings, two-photon calcium imaging of neuronal populations, as well as dendritic spine imaging in mice during the acquisition of perceptual decision-making tasks. Genetically encoded tools will be used to dissect the circuits that contribute to the learning of these tasks, and state-of-the-art behavioral modeling will help infer the timescale and nature of synaptic plasticity. Successful applicant will contribute to a research program focused on understanding how changes in specific sensorimotor synapses underpin the acquisition of new associations. We welcome applicants with diverse quantitative backgrounds, including but not limited to neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with excellent programming skills (e.g., MATLAB, Python), experience with mouse behavior and imaging techniques in vivo. Switzerland offers a vibrant neuroscience community with outstanding research conditions and attractive salaries. Candidates should send their CV, at least two references and a brief cover letter describing their previous work and future goals to Sami El-Boustani: sami.el-boustani(a)unige.ch. Please visit http://elboustani-lab.org/ for more details.

Oct. 21, 2025

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://as.nyu.edu/cns/DoctoralProgram.html https://neuroscience.nyu.edu/program.html] * 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://med.nyu.edu/departments-institutes/neuroscience/ https://neuroscience.nyu.edu/program.html] * 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. * Dima Rinberg - Olfaction, sensory information processing, perception. * 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: 4 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. * Stefano Martiniani - Fundamental principles governing neural systems. 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.

Oct. 20, 2025

PhD positions in Multi-level modelling of neuromodulation and lesioning

by Nada Yousif

Applications are invited from PhD studentship candidates to work on multi-level modelling of neuromodulation and lesioning at the Biocomputation Research Group, University of Hertfordshire, UK. The projects are focussed on understanding the human nervous system in health and disease using computational modelling of neurons and networks. More details can be found at: https://tinyurl.com/2xe2sxva Informal enquiries to Dr Nada Yousif (n.yousif(a)herts.ac.uk) Application deadline: 14 November 2025 Studentship: approximately £20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://tinyurl.com/3k8j9c3m

Oct. 19, 2025

Computational Psychology position at Tufts University

by Erin Munro Krull

Oct. 19, 2025

PhD Studentships in Computational Neuroscience at the University of Hertfordshire, UK

by Volker Steuber

PhD Studentship in Computational Neuroscience Biocomputation Research Group Centre for AI and Robotics Research School of Physics, Engineering and Computer Science University of Hertfordshire, UK Informal enquiries: Prof Volker Steuber, UH (v.steuber(a)herts.ac.uk) Dr Arnd Roth, UCL (arnd.roth(a)ucl.ac.uk) Application deadline: 14 November 2025 Studentship: approximately £20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. Proposed Project: Reinforcement Learning and Microzones in the Cerebellum The crystalline structure of the cerebellar cortex has inspired the development of theories and computational models of learning in the cerebellum. In these computational models, learning is typically based on long-term depression (LTD) between parallel fibres and Purkinje cells in cerebellar cortex. More recently, however, plasticity has been shown to be present at different types of cerebellar synapses, and recent observations of reward signals conveyed by both mossy fibres and climbing fibres to the cerebellar cortex indicate that the roles of the instructive signals for cerebellar plasticity are more complex than assumed by classic theories. The presence of reward signals suggests that the cerebellum may be involved in reinforcement learning, by predicting the consequences of different actions. A further level of complexity arises from the existence of alternating cerebellar microzones that have been shown to contribute in different ways to cerebellar learning. The proposed PhD project will extend a previously developed detailed network model of the cerebellum. Simulations of the network model will be used to investigate the implications of reward signals and microzones for cerebellar learning. The work will contribute to a better understanding of learning in the cerebellum with potential applications in machine learning and neurorobotics. Applicants should have a keen interest in computational neuroscience and an excellent first degree or MSc in computer science, neuroscience, AI, machine learning, physics, maths, biology, medicine or a related discipline. The project involves a collaboration between the Biocomputation Research Group in the Centre for AI and Robotics Research at the University of Hertfordshire (Volker Steuber) and the Wolfson Institute for Biomedical Research at UCL (Arnd Roth) and will require regular visits to London. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-comp… Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

Oct. 17, 2025

Postdoc position at U Oregon

by James Murray

A postdoc position is available with Prof. James Murray (murraylab.uoregon.edu) at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai) Application link: https://academicjobsonline.org/ajo/jobs/30896 Position Summary -- In our research, our group seeks to uncover the principles of how the brain performs computations and implements learning related to motor control and sensory perception. 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 principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? - How can models of learning and motor control be synthesized across different levels of description? Our research group aims at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and machine-learning 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. While previous experience in computational neuroscience and machine learning are welcome, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are encouraged to apply as well. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu) a major hub for systems and theoretical neuroscience research. 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. 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 -- Application link: https://academicjobsonline.org/ajo/jobs/30896 Application reviews will start on December 1st and will continue until the position is filled. Please send inquiries to jmurray9(a)uoregon.edu. Applications should include a CV, two-page statement of research interests, and contact information for three letters of reference.

Oct. 15, 2025

[Newsletter RTAIM] 22nd RTAIM Seminar | Call Abstract: Rio de Janeiro International Workshop: Ethics and Artificial Intelligence | Call for Papers (JAIC) | Others]

by steven gouveia

Dear All, You are welcome to attend the 22th rTAIM Online Seminar, with the participation of Markus Rüther (Jülich Research Centre and University of Bonn, Germany), 15 October 2025, 3:00pm - 4:30pm (Lisbon Time) via Microsoft Teams with the title “Meaningfulness Gaps in Medical AI". Link available: https://ifilosofia.up.pt/activities/seminar-22-rtaim Or: * Link: https://teams.microsoft.com/meet/3331048785485?p=LOIA0dGCgnqZXqSGdW * Meeting ID: 3331048785485 * Password: Yh2sE7zQ Moreover, the Call for Abstract for the Rio de Janeiro International Workshop: Ethics and Artificial Intelligence is still open until the 18 October 2025: https://trustaimedicine.weebly.com/rio-janeiro-workshop-ethics-ai.html New book out: “Ethics in Artificial Intelligence: A Multidisciplinary Approach”, Ethics Press. Info: https://ethicspress.com/products/ethics-in-artificial-intelligence Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02. Sincerely yours, RTAIM Team

Oct. 15, 2025

Postdoc position in Digital twin brain for Alzheimer's Disease (Spase Petkoski, INS Marseille)

by Spase Petkoski

Job Offer: Postdoctoral Researcher in Digital Twin Brain for Prediction of Longitudinal Trajectories in Alzheimer’s Disease Location: Institut de Neurosciences des Systèmes <http://ins-amu.fr/>, Aix-Marseille University, France More info: https://ins-marseille.squarespace.com/jobs/job-posting-postdoc-alzheimer-1 Summary: We are recruiting a Postdoctoral Researcher for an ANR-funded project called Digital Twin Brain for prediction of longitudinal trajectories in Alzheimer’s Disease (AD). The postdoc will be based at Aix-Marseille University, at the Institut of Systems Neuroscience <https://ins-amu.fr/> in Marseille and will work under the lead of Spase Petkoski, INSERM CR (tenured researcher, equivalent to an Associate Professor), part of the Theoretical Neuroscience group led by Viktor Jirsa. A close collaboration is also envisaged with the clinical practitioners from the Neurology department of the public hospital at Marseille (APHM), the neurologists Mira Didic and Olivier Felician who work with patients with dementia, as well as with JF Mangin, the head of neuroimaging at Neurospin in Paris. As a postdoctoral researcher, the candidate will be responsible for developing and implementing computational models for the molecular mechanism of pathological proteins in AD into the whole-brain neuroinformatics platform The Virtual Brain <https://www.thevirtualbrain.org/tvb/zwei/> (TVB). Specifically, this will be done through glutamatergic and GABAergic synapses, utilizing existing neuronal mass candidates from the literature and from the previous work by the group. The model will also combine the mechanisms of prion-propagation. The modeling work will be accompanied by resting-state fMRI data analysis to identify the biomarkers of interest. The main cohort for the project will be Memento <http://www.memento-cohort.org/>, but ADNI3 <https://adni.loni.usc.edu/data-samples/adni-data/> will be also used. The candidate is thus expected to be familiar with concepts from Nonlinear Dynamics, in particular, solving and analyzing coupled ordinary differential equations. In the later stage, the project will also require an application of model inversion with simulation-based inference that should facilitate establishing links between the model parameter space and the neuroimaging data features. The latter will be a key component of this project and will also require addressing issues related to model degeneracy and resilience. The successful candidate will join a dedicated team developing models and methodologies for better explanation of neuroimaging data. This work has a broader impact than AD, it will establish an interpretable link across scales from synapses to neuronal populations (the network nodes in TVB), and significantly amplify the effectiveness of TVB in comprehending multiscale effects within brain networks. This, in turn, will facilitate the enhanced usability of digital twins in the clinical context and in diagnosing brain health status. Required Qualifications: PhD (or equivalent) in computational neuroscience or related discipline. Experience in one or more of the project research topics, including Brain Network Models, Dynamical systems, Prion Spreading, Machine Learning, and Alzheimer’s Disease. Proficiency in programming with Python, with expertise in scientific computing packages. Proficiency in spoken and written English. Desired Qualifications: Background in neuroscience. Familiarity with TVB. Experience running parallelized large-scale simulations on supercomputers. Expertise in time-series analysis, data science and data visualization. About The Theoretical Neuroscience Group: We are a multinational and interdisciplinary team dedicated to unraveling the spatiotemporal organization of large-scale brain networks. Our work encompasses mathematical and computational modeling of large-scale network dynamics, the analysis of human brain imaging data, and the development of neuroinformatics tools for studying large-scale brain networks, particularly in the context of brain disorders such as epilepsy, Alzheimer's disease, and multiple sclerosis, and healthy aging. The group is heavily involved in developing standard models for digital twins in the infrastructure project of EBRAINS <https://www.ebrains.eu/>. Terms of Employment: This is a fully funded multi-year position with excellent benefits. The initial appointment is for one year, with the potential for extension up to 3 years. Salary will be commensurate with experience. Application Deadline: November 10th. Starting Date: January 2026 How to Apply: Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to spase.petkoski(a)univ-amu.fr <mailto:spase.petkoski@univ-amu.fr>. We look forward to welcoming a highly motivated and qualified postdoctoral researcher to our team to advance our understanding of large-scale brain network models in the context of Alzheimer’s Disease and to move closer to real digital twins of the brain.

Oct. 15, 2025

PhD position in cognitive computational neuroscience

by Mingbo Cai

*PhD position in cognitive computational neuroscience * The lab led by Dr. Mingbo Cai at University of Miami ( https://cailab-miami.org/) has a PhD position open for Fall 2026. Students with computational background and/or experience with neuroimaging are highly encouraged to apply. The lab has an ongoing project on fMRI study of decoding spontaneous thoughts and we are looking for a student excited about this area, either for basic science or mechanistic study of rumination and worry. Students interested in using computational modeling and novel cognitive tasks to study decision making and learning, as well as computational psychiatry, are also welcome to apply. The deadline of application is December 1, 2025. Please apply through the cognitive and behavioral neuroscience division: https://www.psy.miami.edu/graduate/doctoral-programs/index.html Mingbo Cai Assistant Professor Department of Psychology University of Miami

Oct. 15, 2025

Scholarships available for BCCN Berlin International Doctoral Program Computational Neuroscience

by GraduatePrograms

Dear colleagues, we at the Bernstein Center for Computational Neuroscience Berlin are happy to announce that we have two DAAD-funded scholarships for doctoral students available! We will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP). * The scholarships begin in October 2026 à 1,300€/ month, for up to a maximum of 4 years, * In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD, * Scholarship recipients can also receive assistance for their rent payments, * Scholarship recipients with families may receive additional funding, * Scholarship recipients will have access to a country-specific travel budget from the DAAD, * Scholarship recipients will have access to additional Study and Research grants, * Can have German courses financed by the DAAD. To be eligible for the GSSP scholarships, the student must: * Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026), * Can not have completed their master's (or equivalent) more than 6 years ago, * At the time of application (March 2026), can not have been a resident in Germany for more than 15 months, * Can not already have a PhD, * Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project. To be awarded the GSSP scholarship, the student must: 1. Apply to the BCCN PhD program -->*Application deadline March 15th 2026!* 2. A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD. 3. A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline. For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website: https://www.bccn-berlin.de/doctoral-program-application.html Finally, we organize an Information session about our graduate programs which will take place in January 2026: https://www.bccn-berlin.de/events-list/information-day-2026-international-g… Please share this information with anyone who may be interested. Best regards, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503

Oct. 14, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex

by Simon Bowes

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: · AI in Education · Agency & AI · Art & AI · Cognitive & Computational Neuroscience · Computational theory of mind · Computational Intelligence · Consciousness · Embodiment and AI · Ethics of AI · Human and Machine Creativity · Hybrid Human-AI · Knowledge Representation · Machine Learning · Robotics · Bio-inspired approaches. · Simulation of Human and Animal Behaviour · The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>

Oct. 14, 2025

AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence"

by Anton Arkhipov

Dear Colleagues, An update and a friendly reminder about the Workshop “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” at the AAAI 2026 conference in Singapore on January 27, 2026. Thanks to those who submitted their papers so far, and we are looking forward to all your submissions by October 30, 2025. Updated list of confirmed speakers: * Guozhang Chen (Peking University) * Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU) * Elisa Donati (University of Zurich and ETHZ) * Adrienne Fairhall (Universtiy of Washington) * Patrick Mineault (Amaranth Foundation) * Adeel Razi (Monash University) * Martin Schrimpf (EPFL) * Mike Zheng Shou (National University of Singapore) * Andreas Tolias (Stanford University) Please see details below and at https://neuroai-multimodal-workshop.github.io/. We invite submissions of full papers or abstracts that describe new research, work in progress, or position statements on relevant topics. Original, unpublished submissions may be considered for a special issue on "Neuroscience and AI" in the Journal of Neural Engineering. The full paper submissions should be 8 pages maximum, excluding references, and the abstract submissions should be 2 pages maximum, excluding references, in the AAAI two-column format. Please submit your work by October 30, 2025 at https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI. Organizing Committee: * Reza Abbasi-Asl, University of California, San Francisco * Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine * Sophia Sanborn, Stanford University * Shinya Ito, Allen Institute * Anton Arkhipov, Allen Institute * Naomi Donovan, University of California, San Francisco * Macarena Aloi, Allen Institute Description of workshop: This workshop will unite researchers in artificial intelligence, computational neuroscience, and neuromorphic engineering to explore the critical two-way exchange between biology and machine learning. Our main objective is to bridge these fields to accelerate foundational progress in multimodal natural intelligence. The “Neuro → AI” theme will investigate how principles from cortical microcircuits, such as sparse coding, dendritic nonlinearities, and cell-type diversity, can inspire novel, efficient, and robust AI architectures like transformers and graph-based models. Conversely, the “AI → Neuro” theme will showcase how advanced machine-learning techniques are revolutionizing neuroscience, enabling new insights into neural dynamics through AI-driven analysis of large-scale imaging, electrophysiological, and behavioral data. By bridging the gap between biologically grounded inductive biases for AI and scalable computational tools for neuroscience, this workshop aims to catalyze research that unifies theory, experiment, and application. Topics: * Biologically inspired machine learning architectures * Neuro-inspired mechanisms for efficiency (e.g., sparsity, inhibitory-excitatory balance) * AI-driven analysis of large-scale neuroscience data * Unsupervised representation learning and causal inference for circuit discovery * Gradient descent-based training of bio-realistic neural models * Open-source software and reproducible research in NeuroAI * Neuromorphic engineering and hardware implementation Format of Workshop: This will be a one-day, in-person workshop. The format is designed to be highly interactive, featuring a series of invited talks from world-renowned experts, two panel discussions for in-depth Q&A, and spotlight presentations for high-impact contributed papers. A central poster session will provide a forum for detailed discussion and networking. The day will conclude with a roundtable discussion to identify key community challenges and a sponsored social gathering to foster continued collaboration. Attendance: We welcome researchers and practitioners from academia and industry with an interest in the intersection of neuroscience and artificial intelligence. At least one author of each accepted submission must be present at the workshop. The maximum number of attendees is to be determined by the room size and will be communicated by AAAI. Please reach out if you have any questions. We look forward to seeing you in Singapore! Best regards, Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, Anton Arkhipov, Naomi Donovan, Macarena Aloi 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. 14, 2025

Open Rank Faculty Position in Artificial Intelligence in Psychological Science

by Stacie Warren

*Open Rank Faculty Position in **Artificial Intelligence in Psychological Science* *Position Description* The Department of Psychology in the School of Behavioral and Brain Sciences (BBS) at The University of Texas at Dallas (UT Dallas) is accepting applications for a tenure system position for a faculty member whose work interfaces with artificial intelligence (AI). Candidates with postdoctoral training or equivalent research experience are preferred, especially those who have led or contributed to multidisciplinary teams bridging psychology with computer/data science. We welcome profiles spanning: (a) ML/AI as advanced statistics; (b) core AI/generative technologies; and (c) computational social science. Strongest consideration may be given to applicants who apply modern AI pipelines and tooling to substantive psychological questions. Evidence of an emerging or established record of high-impact publications; experience building reproducible, well-documented code and analyses; and potential (or success) for extramural funding are highly valued. Ideal candidates can connect AI methods to psychological theory (e.g., cognitive modeling, language and social behavior, clinical assessment, developmental science), teach AI-in-Psychology courses effectively, and mentor students from a range of backgrounds. Preference will be given to applicants who demonstrate responsible/ethical AI practices, open science commitments, and a collaborative approach that enhances BBS research centers and cross-school partnerships. Candidates at all levels will be considered. Teaching responsibilities could include undergraduate and graduate level courses in artificial intelligence in psychology, cognitive science, and/or courses in the applicant’s area of expertise, as well as mentoring of doctoral, master’s-level, and undergraduate students. The appointment commences for the fall 2026 semester. *Qualifications* Minimum Education and Experience: A PhD or equivalent in Psychology, Cognitive Science, or a related discipline is required prior to appointment. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences. Candidates are expected to demonstrate clear potential for (at the Assistant Professor rank), or an existing track record of, obtaining and maintaining extramural research funding. *UT Dallas School of Behavioral and Brain Sciences and the Department of Psychology* The University of Texas at Dallas is a Carnegie R1 Research Institution and is among the fastest growing universities in the nation. The School of Behavioral and Brain Sciences (BBS) is one of seven schools at UT Dallas and ranked 2nd in total new research grants and research expenditures over the past year. Within its walls, the School of Behavioral and Brain Sciences (BBS) stands uniquely positioned to advance knowledge and improve lives through the efforts of its 111 faculty and 3,000 students. In North Texas, BBS serves as a trailblazer where research, education, and clinical training come together to prepare future leaders. It is home to world-class faculty with work ranging from bench-top to bedside studies, and ample resources and opportunities for students and faculty alike. In the past year, BBS was recognized by the BlueRidge Institute for being #1 in Texas and #3 in the United States for NIH funding for schools of its type. Within BBS, faculty members are surrounded by colleagues who interface with science and technology at every level of translation – with a keen focus on using our science to impact the health and well-being of people around the world while training the scientific leaders of tomorrow. Collectively, BBS leads UT Dallas in R&D rate and new awards per faculty member as well as many student success metrics across the university. The Department of Psychology is one of three departments within the School of Behavioral and Brain Sciences. The department houses 44 faculty and has almost 1,400 students. The Department of Psychology was responsible for over $12 million in new extramural grants in the past year and is home to a large number of multi-grant funded faculty members. The department has a distinguished legacy of world class research across cognitive neuroscience and developmental science. It also houses multiple pioneering AI-engaged faculty innovating in the fields of cognitive science and human-computer interface research. The Department has a rich history of housing well-known research centers that lead their respective fields around the globe. For example, psychology faculty are active participants in several BBS affiliated research centers at UT Dallas including the Center for BrainHealth, Center for Vital Longevity, and Center for Children and Families, with multiple centers led by Psychology faculty. The Department of Psychology is home to the BS in Psychology, BS in Cognitive Science, and BS in Child Learning and Development. It is also home to the MS in Psychology, the MS in Human Development and Childhood Disorders, and the PhD in Psychology. It also shares degree programs with the Department of Neuroscience for the MS in Applied Cognition and Neuroscience and the PhD in Cognition and Neuroscience. The BS in Psychology represents the 7th most popular undergraduate major at UT Dallas. In fall 2026, we will enroll our first cohort of Clinical Psychological Science PhD students along with the opening of our Psychological Sciences and Education Center in summer 2026. *Application Instructions* Applicants should upload the following via the online application <https://jobs.utdallas.edu/postings/30422>: · Full curriculum vitae and cover letter summarizing their interests and qualifications for the position. · Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. · Research statement describing past, present, and future research, including how they mentor (or will mentor) student researchers and foster (or will foster) collaborative research environments. · Full contact information for at least three academic or professional references. Priority will be given to completed applications received by *December 1, 2025*. Reviews will continue until the position is filled or the search is closed on March 1, 2026. *The University and Community * UT Dallas is a top public research university located in one of the nation’s fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is approximately 30,000 strong, reflecting students from over 100 countries and a multiplicity of perspectives and experiences. Over 65% of our undergraduate students receive some form of need- or merit-based financial aid; and 66% of graduating seniors have no student debt compared to 48% in Texas and 32% in the nation (2021 TICAS report). UT Dallas is committed to graduating well-rounded members of the community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Our mission centers on providing Texas and the nation with excellent and innovative education and research. The University’s rapid growth is fueled by our creative and enterprising spirt, bright students, innovative programs, renowned faculty, dedicated staff, engaged alumni, and research that matters. The University promotes a welcoming environment through programs and initiatives designed to support engagement and success for members of the campus community. Employee benefits include a range of physical and mental wellness resources, competitive insurance and retirement plan options, lactation facilities located throughout the campus, and Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals). Additionally, the University’s modern campus, 400+ campus organizations, and prime location foster collaboration and community. Situated in Richardson, Texas, the University’s location offers abundant professional development and entertainment options. The Dallas-Fort Worth (DFW) metroplex is rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails, and much more, ensuring there’s something for everyone. The University’s partnerships with regional higher education institutions, local school districts, numerous companies, and the Richardson Innovation Quarter <https://richardsoniq.com/> (Richardson IQ) – a major hub for innovation, entrepreneurship, and educational activities – promotes collaboration, professional growth, and educational excellence. *Equal Employment Opportunity * The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination <https://policy.utdallas.edu/utdbp3090> against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology School of Behavioral and Brain Sciences The University of Texas at Dallas 800 West Campbell Road, GR 41 Richardson, TX 75080 Phone: (972) 883-3818 E-mail: stacie.warren(a)utdallas.edu <sholub(a)utdallas.edu>

Oct. 13, 2025

Opening: Assistant Professor in Computational Neuroscience at the University of Cincinnati

by vanderdt＠ucmail.uc.edu

The Department of Biological Sciences at the University of Cincinnati invites applications for a tenure-track Assistant Professor in Computational Neuroscience. We seek candidates working in areas including (but not limited to): • neural circuit modeling & theoretical analysis • sensory systems and their computations • computational methods & algorithm development • integration of robotics, ML/AI, big data, behavior & neural data The successful applicant will establish an externally funded research program, teach at undergraduate/graduate levels, and supervise students. Collaborations across neuroscience, engineering, computer science, cognition, and medicine are strongly supported. Review of applications begins December 1, 2025; application details are available online. More info / Apply: https://jobs.uc.edu/job/Cincinnati-Assistant-Professor%2C-Biological-Scienc… Inquiries may be directed to Dr. Stephanie Rollmann, stephanie.rollmann(a)uc.edu

Oct. 13, 2025

3 Faculty Positions open at UAlbany - Deadline Oct 31! - Please circulate!

by Annalisa Scimemi

💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Behavioral Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/z2oryPK8GI> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Quantitative Systems Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/TFkXnx1LCs> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Computational Cognitive Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/RgQjeabw0H> -- *Annalisa Scimemi, PhD* Associate Professor, Department of Biology, SUNY Albany Adjunct Professor, Department of Physics, SUNY Albany President, Society for Neuroscience Hudson-Berkshire Chapter <https://sites.google.com/site/sfnhudsonberkshire/home> Instructor, Ion Channels in Synaptic and Neural Circuit Physiology <https://meetings.cshl.edu/courses.aspx?course=c-ion>, CSHL Mail. 1400 Washington Ave (Bio 329) - Albany, NY 12222 (USA) Tel. +1-518-442-4367 (Office) / +1-518-442-4580 (Lab) Fax. +1-518-442-4767 Email. scimemia(a)gmail.com / ascimemi(a)albany.edu SUNY webpage <https://www.albany.edu/biology/faculty/annalisa-scimemi> / Google webpage <https://sites.google.com/site/scimemilab2013/> / Blog webpage <https://neurovoice.blogspot.com/> / My Zoom <https://albany.zoom.us/my/ascimemi>

Oct. 13, 2025

University College London NeuroAI Annual Conference - 5th Nov - in person and online

by Padraig Gleeson

Dear Colleagues, The 6th annual UCL NeuroAI Conference will take place on Wednesday 5 November 2025 at UCL Great Ormond Street Institute of Child Health in London. The event features leading speakers at the cutting edge of machine learning and neuroscience. The UCL NeuroAI initiative aims to be a central hub where researchers working in neuroscience, AI, machine learning, and related fields can interact and stay updated on the latest advancements in these intersecting areas. Our annual conference is an important opportunity for these communities to gather, make new connections, and benefit from insights in one another’s fields. *Keynote speakers* We are privileged to have a distinguished line-up of speakers and experts confirmed to date. Leena Chennuru Vankadara (Gatsby Computational Neuroscience Unit, UCL) Netta Cohen (University of Leeds) Nathaniel Daw (Princeton University) Quentin Huys (Institute of Neurology, UCL) Kenneth Harris (Institute of Neurology, UCL) Armin Lak (University of Oxford) All information including how to register can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. Spaces are limited so we recommend booking asap to avoid disappointment. Registration fee for the conference is £5. If you are unable to pay for any reason, please contact neuroaievents(a)ucl.ac.uk. *Poster and lightning talks - Submissions are now open!* This year we will also be accepting abstract submissions for posters or a short lightning presentation as part of the event. The deadline to submit your abstract (200 words) is *Wednesday 15th October, 12pm*. Further details regarding the poster and lighting talks can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. *About UCL NeuroAI* The last decade has seen phenomenal advances in the fields of machine learning (e.g. deep learning, reinforcement learning, and AI). While these changes have already had considerable impact on most areas of science they hold a particular resonance for neuroscience. Crucially, AI shares a common lineage with neuroscience and fundamentally machine learning and the brain employ similar computations to process and compress information. For these reasons AI provides a means to emulate neural functions and the circuits supporting them, providing insights to aid our understanding of the brain and cognition. Equally, AI tools provide a means to discover, segment, and track distinct neural and behavioural states - yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models. Essentially, AI problems posed in neuroscience both require and inspire further advances in AI. *Sponsorship* We are immensely grateful for the support from the Sainsbury Wellcome Centre <https://www.sainsburywellcome.org/web/>, the Crick Partner Networking Fund <https://www.crick.ac.uk/research/research-partnerships/university-partnersh…> and AIBIO-UK <https://aibio.ac.uk/>. We look forward to seeing you there.

Oct. 13, 2025