- Comp-neuro - lists.cnsorg.org

Full-time research assistant position in computational modeling of brain MRI

by Z S

Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *a full-time Research Assistant (computation-focused)*. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, the center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computation modeling to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art computational models and deep learning algorithms, supported by the Brain Imaging Center (with 3T and high-field 7T MRI scanners) and the Biobehavioral Research Center. This position provides an excellent opportunity for a motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and computational modeling (e.g., deep learning models), making it ideal preparation for a future graduate or medical career. Research Assistant will be actively involved in the scientific process and are encouraged to contribute meaningfully to publications. We fully support research assistants in leading first-author publications and presenting their work at international conferences. Duties: · Computational modeling, construct deep learning models · MRI data processing, analysis; present results and publish papers · Manage daily administrative operations of the lab (e.g., scheduling and communication) Requirements: · Bachelor’s degree in a relevant science (e.g., computational neuroscience, math, data science, engineering, biostatistics, biomedical engineering and etc.) · Experience with clinical and MRI data collection and data analysis. Candidates with coding experience are preferred.

April 9, 2026

1 postdoctoral position on NeuroAI available at the Institute for Neural Computation in Bochum, Germany

by xkobeleva＠gmail.com

Dear all, I'm happy to announce a postdoctoral position on NeuroAI in our Computational Neurology lab located at the Institute for Neural Computation <https://www.ini.rub.de/> https://www.ini.rub.de/ and Bernstein Node Bochum at Ruhr University, Bochum, Germany. Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural mass modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. We invite applications for a postdoctoral associate starting in Summer 2026 working on NeuroAI techniques, with a quantitative background and experience in interdisciplinary neuroscience research. Details can be found here: <https://www.ini.rub.de/the_institute/jobs/postdoctoral_position_80-100_fmd_ in_computational_neurology_1/> https://www.ini.rub.de/the_institute/jobs/postdoctoral_position_80-100_fmd_i n_computational_neurology_1/ , and if you have inquiries regarding the position, please reach out to me: <https://computationalneurology.com> https://computationalneurology.com via email. Feel free to forward to anyone who might be interested. Best regards Prof. Dr. Xenia Kobeleva

April 9, 2026

Project Research Scientist Position at IIT Ropar.

by Sukrit Gupta

Dear all, we are hiring a Project Research Scientist (Non Medical) at IIT Ropar for an ICMR project. Our lab does work with clinicians at multiple public hospitals in North India and this project is in collaboration with clinicians at PGIMER, Chandigarh. The project is funded for five years. We are looking for someone with a solid computer science and/or AI background. Detailed advertisement at https://iitrpr.ac.in/mainwebsite-api/uploads/advertisements/projects/177488… To apply, you can fill the form at: https://forms.gle/BCRp5w3mggLQw5K9A The selected candidate will be expected to enroll for a PhD at IIT Ropar. If you're interested you can drop me an email at sukrit(a)iitrpr.ac.in <sukrit.gupta(a)iitrpr.ac.in> Deadline for application is: 14 April, 2026. Regards, Sukrit ________________ Sukrit Gupta, BEng (CS, PEC, India), PhD (CS, NTU, Singapore) W: https://sites.google.com/site/sukritsite God, grant me the serenity to accept the things I cannot change, the courage to change the things I can, and the wisdom to know the difference.

April 9, 2026

Computational Neuroscience / NeuroAI Postdoc fellowship in Paris (deadline 24 april, starting date mid 2027)

by Dmitrii Todorov

For those interested in a postdoc fellowship in the center of Paris Sorbonne University helps candidates to prepare applications for a Marie Cure fellowship (EU Commission-funded). In particular you can apply with me as a supervisor if you are interested in working in one (or several) of the following * explainable machine learning for multivarite biological time series (espcially those coming from neuroscience, especially EEG/MEG). Including low-dimensional latent space-promoting architectures * dynamic neural representations of motor control (especially in humans) in general and motor learning in particular * data-driven whole human brain modeling (especially of cognitive and/or motor tasks) Eligibility rules: less than 8 years post PhD + satisfy mobility requirements (in particular you have to not have lived in France recently). See full info in the link below If you are interested, fill in the form on the Sorbone University website (see link below) Deadline (to declare interest at Sorbonne U website): 24 april Fellowship starting date: around mid 2027 Info + full eligibility criteria https://spam.inserm.fr/fmlurlsvc/?fewReq=:B:JVI2PTk7Nip6MT4iPCplaDE8PTY8PSp… Form to fill https://spam.inserm.fr/fmlurlsvc/?fewReq=:B:JVI2PTk7Nip6MT4iPCplaDE8PTY8PSp… Best regards, Dmitrii Todorov, PhD Junior Professor Chair (assistant professor at INSERM) Computational Neuroscience of Motor system group (CONEMOT) Neural Connectivity and Plasticity team Biomedical Imaging Laboratory ( INSERM U1146 / CNRS UMR 7371 / Sorbonne University ) 15 rue de l'École de Médecine 75006 Paris

April 8, 2026

2 remote internship positions available at Tether Evo - BCI

by Matteo Ferrante

We are opening *2 remote internship position t*o join our team at the forefront of *open research in NeuroAI*. Our work explores the intersection of artificial intelligence and brain-computer interfaces (BCIs), using both invasive and non-invasive neural recordings. As part of Tether Evo, you will contribute to high-impact, open-source projects focused on *encoding* and *decoding brain activity* leveraging AI. Our mission is to advance scientific understanding while building real-world applications for neural interfaces, guided by transparency, accessibility, and collaboration. *Projects*: 1) Compositional Structure in Speech-Related Neural Signals (6 months) — We are seeking an intern to investigate whether speech-related neural activity exhibits a compositional structure, where smaller reusable units such as phonemes combine to form larger units such as words. Recent work by Narasimha et al. in intracortical BCI has shown that neural activity underlying attempted handwriting contains reusable motif-like structure and that explicitly modeling this structure can improve decoding generalization and sample efficiency, particularly in low-data settings. Building on this idea, this project will ask whether an analogous organization exists in speech-related neural signals. A central challenge is that the available speech labels do not provide precise word- or phoneme-level timestamps, so the first phase of the project will focus on developing methods to segment continuous neural recordings into approximate intervals corresponding to individual speech units. Once such alignments are established, the project will analyze whether shared phonemic content across different words is reflected in shared neural structure—for example, whether the neural activity corresponding to the “book” portion of *NOTEBOOK* and *COOKBOOK* is more similar than the activity corresponding to their non-overlapping parts. 2) Bidirectional Modeling of Cursor Control from Human Intracortical Data *(3 months)* — This project will develop models for both decoding and simulating cursor-control neural activity from human intracortical recordings. Using publicly available datasets from Karpowicz et al. and Wilson et al., the first phase will focus on building a neural decoder that translates neural activity into cursor kinematics, including position and velocity. After achieving reliable decoding performance, the second phase will develop a neural encoder that predicts plausible neural activity from an intended cursor trajectory. The final goal is to integrate both models into a demonstration application that can simulate end-to-end cursor control, using either recorded neural data or synthetic neural activity generated by the encoder, and thereby provide a practical testbed for studying cursor BCI behavior in both real and simulated settings. *What We’re Looking For:* - Candidates doing a PhD in computational neuroscience, AI, computer science, mathematics or similar fields, towards the end of their program and that could enroll in a 3-6 months industry internship. Also exceptional MSc or people that finished their PhD in the last year are eligible for the positions. - Strong proficiency in Python and PyTorch. Experience with object-oriented programming and knowledge of *software engineering best practices for machine learning research (version control, testing, experiment tracking, reproducibility, and modular code design)*. Knowledge of HuggingFace transformers and diffusers interfaces. - Ability to efficiently implement methods from scientific papers - Research experience with invasive neural data or similar such as fMRI, EEG, MEG, ECoG - Excellent scientific communication and collaboration skills, publications in top-tier scientific journals or AI/neuroscience conferences are welcome. If you’re passionate about advancing neuroscience and AI through open, ethical, and impactful research, we’d love to hear from you. Positions are fully remote and applications are welcome from all over the world. Here is the link to apply: https://careers.tether.io/o/machine-learning-engineer-intern If you need more information, feel free to contact me ( matteo.ferrante(a)tether.io) and/or Michal (michal.olak(a)tether.io) Best, Matteo Ferrante Tether Evo BCI Team Lead

April 7, 2026

One week left to apply - Neural Data Analysis Workshop before FENS forum, Jun 3-4, 2026

by Edoardo Balzani

One week left to apply to our workshop on Neural Data Analysis with pynapple <https://pynapple.org/> & NeMoS <https://nemos.readthedocs.io/en/latest/#>! This July, right before the FENS forum, the Flatiron Institute Center for Computational Neuroscience of the Simons Foundation is hosting a hands-on workshop <https://www.simonsfoundation.org/event/ccn_fens2026/?swcfpc=1> on neural data analysis in Barcelona, Spain. *Workshop Details:* *What: *2-day workshop on pynapple <https://pynapple.org/> & NeMoS <https://nemos.readthedocs.io/en/latest/#> *When: *Jul 3–4, 2026 *Where: *Melia Barcelona Sky Hotel Pere IV, 272 - 286 Spain *Who:* Grad students & postdocs analyzing electrophysiology or calcium imaging data*. *Applicants located in Europe and Africa will be prioritized. Via live-coding and hands-on group projects, you will learn to: - Use pynapple for neural data manipulation and exploration - Build statistical models with NeMoS (powered by JAX with GPU acceleration) *Cost:* Accommodation & meals provided, no participation fees. Both packages are open-source Python tools developed at Flatiron CCN <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> to streamline neural data analysis and modeling. *Apply here:* https://simonsfoundation.formstack.com/forms/neural_data_analysis_workshop_… *Learn more:* https://www.simonsfoundation.org/event/ccn_fens2026/?swcfpc=1 Please feel free to share with anyone who might be interested! Best regards, Edoardo Balzani -- *Edoardo Balzani* Associate Research Scientist Center for Computational Neuroscience Flatiron Institute

April 7, 2026

Online Workshop: Introduction to Neuronal Modeling | April 28, 2026

by Spiros Chavlis

Dear colleagues and friends, PhD candidate Roman Makarov and Dr. Michalis Pagkalos from our lab are organizing a free online workshop on neuronal modeling! You will learn how to build, validate, and analyze neuronal models with active dendrites. We will begin with foundational concepts, including neuronal structure, biophysical properties, and input integration. We will then move to hands-on model implementation using DendroTweaks and Dendrify, two modeling tools developed in the Poirazi Lab (https://dendrites.gr/) Participation is free and open to everyone. No prior modeling experience is required, but some familiarity with Python might be helpful. When: Tuesday, April 28, 2026 | 10:00 AM CET Register here: https://forms.gle/txUzajvPBzDc1EvWA More info: workshop(a)dendrites.gr Best regards, Spiros Chavlis, PhD

April 7, 2026

DEADLINE EXTENSION - 12th April - Conference on Artificial Life (ALIFE 2026)

by Stavros Anagnou [Student-PECS]

Dear colleagues, We warmly invite you to submit your work to the annual Conference on Artificial Life (ALIFE 2026), taking place in Waterloo, Canada, and online from 17–21 August 2026. Full Papers & Summaries submission deadline: 30 March 12th April 2026 (EXTENDED) This year’s theme, “Living and Lifelike Complex Adaptive Systems”, welcomes contributions exploring the simulation and synthesis of life, complex adaptive systems, and life as it could be in other media or environments, and we encourage submissions across the full spectrum of Artificial Life research, including embodied intelligence, synthetic biology, artificial chemistry, evolutionary systems, robotics, sustainability, ethics, and more. Full Papers (3–8 pages) will be peer reviewed and published open access in the official ALIFE 2026 Proceedings by MIT Press. Summaries (max. 2 pages) should report on previously published, peer-reviewed work. Accepted summaries will be presented at the conference but will not be included in the MIT Press proceedings. All submission types, formatting templates (Overleaf, LaTeX, MS Word), and detailed guidelines are available at:https://2026.alife.org/call-for-papers<https://2026.alife.org/call-for-papers> We kindly ask you to share this call within your networks and institutions. You can also support the conference by following, sharing, and engaging with ALIFE 2026 updates on social media. We look forward to your submissions and to welcoming you to ALIFE 2026. Sincerely, The ALIFE 2026 Organizing Committee https://2026.alife.org<https://2026.alife.org> ----------------------------------------------------- Follow us on social media for conference updates, and don’t forget to like and share. Help us spread the word and reach as many colleagues as possible — feel free to share within your networks and communities. https://www.linkedin.com/company/alifeconf<https://www.linkedin.com/company/alifeconf> https://bsky.app/profile/alifeconf.bsky.social<https://bsky.app/profile/alifeconf.bsky.social> https://www.facebook.com/ALIFEconf<https://www.facebook.com/ALIFEconf> https://x.com/ALifeConf<https://x.com/ALifeConf>

April 1, 2026

Call for applications: 2026 School on Analytical Connectionism

by I-Chun Lin

Topical focus: Language Acquisition August 17–28 2026; Chalmers University of Technology, Gothenburg https://www.analytical-connectionism.net/school/2026/ Apply by 17 April 2026 We are delighted to announce the 4th edition of the School on Analytical Connectionism. This 2-week course will focus on analytical theories of cognition, bringing together ideas from connectionism, cognitive science, and modern theories of machine learning. This course is appropriate for graduate students, postdoctoral fellows and faculty in fields from psychology and neuroscience, to physics, computer science, and mathematics. This year we will discuss questions like: - How can structured linguistic knowledge emerge from learning? - What theoretical principles govern generalisation, compositionality, and representation in neural systems? - How can we move beyond empirical demonstrations toward mechanistic, mathematically grounded explanations of cognitive phenomena like language acquisition? The course will bring together neuroscience, psychology, and machine-learning communities, introducing participants to connectionist theories of higher-level cognition and psychology as well as analytical methods for neural-network analysis. Participants will work in teams, mentored by course lecturers and organisers, to develop novel research projects on topics related to analytical connectionism. Participants will present the research proposals in Week 1 and interim results at the end of the course. Confirmed Faculty: - Michael Biehl (University of Groningen) - Caroline Rowland (Max Planck Institute for Psycholinguistics) - Paul Smolensky (Microsoft Research & Johns Hopkins) - Marco Baroni (ICREA & Pompeu Fabra University) - Francesco Cagnetta (SISSA) - Alex Cristia (ENS & CNRS) - Bruno Loureiro (ENS & CNRS) - Kanishka Misra (UT Austin) - Isabel Papadimitriou (University of British Columbia) - Luca Saglietti (Bocconi University) - Asad Sayeed (Gothenburg University) - Larissa Samuelson (University of East Anglia) - Kenny Smith (University of Edinburgh) - Chris Summerfield (Oxford University) Organisers: SueYeon Chung, Erin Grant, Flavio Nicoletti, Stefano Sarao Mannelli, Andrew Saxe

April 1, 2026

Research Position in Optical Quantum Neural Networks: OIST Neural Computation Unit

by Kenji Doya

Neural Computation Unit at Okinawa Institute of Science and Technology Graduate University (Prof. Kenji Doya) has research positions open for developing learning algorithms and use cases for the optical quantum neural networks developed by the Moonshot R&D Project in optical quantum computers (lead by Prof. Akira Furusawa): https://optical-quantum-computers.jp/en/ While most quantum computers today resort to error correction of qubits, which is highly costly, this project aims to achieve efficient system-level computation despite noisy elements, like the brain appears to be doing. The specification of the current machine is described in this preprint (https://arxiv.org/abs/2506.16147) and the software development kit is open in GitHub (https://github.com/HidehiroYonezawa/mqc3) The machine is being upgraded to allow nonlinear (non-Gaussian) operations. Applicants should have strong background in mathematics, computer science, and/or machine learning. Experiences in quantum physics and/or computational neuroscience are welcome. If you are interested, please send your CV, publication list, research statement, and referees (up to three names with e-mail) using the application form from our web page: https://www.oist.jp/ncu ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://www.oist.jp/ncu

April 1, 2026