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Call for Papers: ACML 2026 (Encore Track)

by Levin Kuhlmann

ACML 2026 (the 18th Asian Conference on Machine Learning) is being held in Melbourne Australia on 1–4 December, just before NeurIPS in Sydney. The main conference, journal and workshop tracks have closed, but the Encore Track is still accepting submissions. It's a way to present work you've already had published or accepted at a leading venue (including NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, AAAI, JMLR, IEEE TPAMI) since 1 June 2025, through an encore talk in a topic-aligned session. Submission is lightweight: title, abstract, author details, PDF and publication URL (or evidence of acceptance if not yet published). Deadline: 18 October 2026, 11:59 PM AoE For more details visit https://www.acml-conf.org/2026/calls/papers/#encore-track If you have any questions, please contact Levin Kuhlmann ( levin.kuhlmann(a)monash.edu) Kind regards, Levin Kuhlmann Encore Track Chair, ACML 2026

Sept. 22, 2026

NeuroData AI Summer School: applications open for July 2027 at HHMI-Janelia

by Ben Dichter

Applications are open for the NeuroData AI Summer School, a one-week residential program on reanalyzing open neurophysiology data, July 19 to 24, 2027 at HHMI's Janelia Research Campus in Ashburn, Virginia (arrive July 18, depart July 24 or 25). The school continues NeuroDataReHack, which ran five times from 2022 to 2026, and is now supported by a five-year NINDS R25 award. Participants learn to find, stream, and analyze NWB datasets on the DANDI Archive with tools such as SpikeInterface, Pynapple, NeMoS and Neurosift, and spend most of the week in small teams on a reanalysis project of their own. New this year is a track on AI methods for neural data, from foundation models to working effectively and responsibly with coding agents. Lectures are given by the people who build the tools, and every lecture is recorded and published. The school is free to attend. Lodging and meals are covered, and funding for travel is available. We welcome PhD students, postdocs, and faculty from all areas of neuroscience with basic Python or MATLAB experience. Preference goes to applicants with a specific reanalysis project in mind. Applications close January 29, 2027 and are reviewed on a rolling basis: https://neurodata-ai.org/apply <https://neurodata-ai.org/apply/?utm_source=SOURCE&utm_medium=email&utm_camp…> Past projects, recorded lectures, and reports from previous years: https://neurodata-ai.org <https://neurodata-ai.org/?utm_source=SOURCE&utm_medium=email&utm_campaign=a…> Questions: ben.dichter(a)catalystneuro.com Ben Dichter Program Director, NeuroData AI Summer School

Sept. 22, 2026

Call for applications: Gatsby Unit PhD Programme 2027 entry

by I-Chun Lin

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 9 November 2026 Applications are now open for the 2027 intake of the Gatsby Unit PhD programme at University College London (UCL). Students study toward a PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. New students will join at the start of the academic year in September. First-year courses provide a solid foundation in machine learning, theoretical neuroscience and systems neuroscience, after which students pursue PhD projects specialising in machine learning, theoretical neuroscience, or both. Students benefit from close interaction with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the ELLIS Unit at UCL, alongside strong links with other research groups across UCL and beyond. Full funding is available regardless of nationality. The studentship covers UCL tuition fees for both home and international students and includes an annual tax-free stipend as well as travel budget for attending conferences and workshops. We also welcome applicants who have secured, or are seeking, funding from other sources. The applicant should have a strong analytical and mathematical background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Applications should be submitted directly to us through the Gatsby Recruitment Portal. Please review the information on the programme webpage (www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-programme<http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-pr…>) carefully before starting your application. About the Unit The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. Our research focuses on the mathematical principles of learning, perception, cognition and action in brains and machines. We study causality; neural systems; neural representations; neural data analysis; computation and dynamics; learning; theory of deep learning; reinforcement learning; kernel methods; graphical models; Bayesian statistics; network and relational data. For more information on our research, visit www.ucl.ac.uk/life-sciences/gatsby/research<https://www.ucl.ac.uk/life-sciences/gatsby/research>. We are a community of around 50 academic, research and support staff, and students, committed to building an inclusive and supportive research environment. We function as far as possible as a single research group, with strong cohesion fostered via unit-wide activities such as tea hours, external seminars and journal clubs. Many leading researchers in machine learning and theoretical neuroscience have studied or worked in the Unit, including two Nobel Prize winners. Over 40% of our PhD and postdoctoral alumni hold faculty positions, while around 30% work in research development roles at companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. Find out more about our faculty members and network of alumni at www.ucl.ac.uk/life-sciences/gatsby/people<https://www.ucl.ac.uk/life-sciences/gatsby/people>. -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

Sept. 22, 2026

Patagonian School of Science: Application deadline extended to 25 September 2026

by Ines Samengo

The deadline to apply for the Patagonian School of Science "Dynamics of Large-Scale Neural Systems" has been extended to September 25. The school will take place from December 8–19, 2026, at Brazo Huemul, on the northern shore of Lake Nahuel Huapi in Patagonia, Argentina. The school will bring together 20–25 PhD students and postdocs with international researchers to explore how large populations of neurons give rise to behaviour. The faculty includes Edvard Moser (2014 Nobel Laureate), Rafael Yuste, Susanne Schreiber, Carina Curto, Nachum Ulanovsky, Soledad Gonzalo Cogno, Christian Machens, Iván Davidovich, Valeria Della Maggiore, Emilio Kropff and Inés Samengo. The school will combine lectures, student presentations, workshops, discussions, and one-to-one interactions with faculty. It will take place in a remote setting with limited connectivity, creating an environment where participants can focus on scientific discussion and face-to-face interaction. Applications are open until September 25, 2026. The registration fee is USD 1,200 and includes accommodation and meals for the duration of the school. *Financial support may be available for students who do not have sufficient institutional funding.* Full information about the programme, faculty, and application process is available here: https://ib.edu.ar/patagonian_school_sciences2026/ Enquiries: psos(a)ib.edu.ar

Sept. 21, 2026

Call for Papers-ICICIP 2027, Vientiane and Luang Prabang, February 8-14, 2027 (Submission deadline: October 1, 2026)

by Nian Ashlee Zhang

*Call for Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 15th International Conference on Intelligent Control and Information Processing (ICICIP 2027) will be held in Vientiane and Luang Prabang (the present and former capitals of Laos), from February 8-14, 2027. The conference will take place at rich historical and cultural sites, including two on UNESCO's World Heritage List and Tentative List. Building on the successes of previous events, ICICIP 2027 aims to provide a high-level international forum for scientists, engineers, and educators to present state-of-the-art research and applications across related fields. The conference will feature pre-conference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference tutorials/workshops in conjunction with the main event. Authors are invited to contribute high-quality papers to ICICIP 2027. In addition, proposals for special sessions within the conference's technical scope are solicited. Special sessions, organized by internationally recognized experts, aim to bring together researchers on focused topics. Papers submitted for special sessions are to be peer-reviewed using the same criteria as for contributed papers. Researchers interested in organizing special sessions are invited to submit brief proposals to the ICICIP 2027 special sessions chairs. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere, and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have the opportunity to revise their papers and incorporate the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers may be included in several journal special issues. The paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2027/Conference *Submission deadline: October 1, 2026*

Sept. 20, 2026

Postdoctoral Scholar Neuroimaging

by Ayan Sengupta

*WE ARE HIRING!* The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar in Neuroimaging. Please apply here <https://nshe.wd1.myworkdayjobs.com/en-US/UNLV-external/job/UNLV1-Main-Campu…> . ------------------------------------------------- Ayan Sengupta, Ph.D. Assistant Professor, University of Nevada, Las Vegas

Sept. 18, 2026

SNUFA 2026 abstract submission deadline in one week (Sept 25)

by Friedemann Zenke

This is a quick reminder that the abstract submission deadline for SNUFA 2026 is one week away: September 25, 2026 (anywhere on earth). SNUFA 2026 takes place 4-5 November 2026 (online), with invited talks from Giulia D'Angelo (Czech Technical University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of Bern), and Susanne Schreiber (Humboldt University). If you're planning to submit an abstract on spiking neural networks, learning algorithms, or the analysis of trained spiking circuits, now's the time-submission and registration are open at https://snufa.net/2026. Looking forward to your submissions! SNUFA 2026 is brought to you by Sacha van Albada, Jason Eshraghian, Dan Goodman, and Friedemann Zenke

Sept. 18, 2026

2027 NICE Conference in Brighton, UK April 6-8 2027

by Aimone, Brad

NICE 2027 will be held 6th - 9th April in Brighton, United Kingdom. The 2027 Neuro-Inspired Computing Elements (NICE) Conference is the 14th annual meeting of researchers in the neural computing, neuromorphic, and NeuroAI fields. Like previous editions, NICE 2027 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. For venue details, agenda information and registration please see https://niceworkshop.org/nice-2027/ Submission Guidelines Regular papers (4-8 pages, not including references, no supplemental material) will be due 11th November via https://easychair.org/cfp/nice2027. Papers will be reviewed by the program committee on the basis of quality and clarity of the work (not length). Papers should cover unpublished work and emphasize the novel aspects and potential impact on the neural computing community. From these submissions we will invite several full talks (25 minutes), lightning talks (10 minutes), with the option to be published as an online proceedings volume (details below). An additional set of submissions will be invited for poster presentations, but may not be included in the proceedings. The 2027 NICE proceedings will be published and indexed through IEEE Conference Proceedings this year. Important Dates * Regular Paper Due Date: 11th November 2026, Anywhere on Earth (AoE) * Regular Paper/ Abstracts Decision Notification: 20th December 2026 * Late Breaking News Abstracts Due: 1st February 2027, AoE * Late Breaking News Abstracts Decision Notification: 16th February 2027 * Camera Ready Papers Due: 9th March 2027 AoE * Conference (Talks): 6th - 8th April 2027 * Conference (Tutorials): 9th April 2027 List of Topics A full list of topics is in the Call for Papers (https://easychair.org/cfp/nice2027) NICE focus areas span the whole field of neuromorphic computing and theoretical neuroscience, including algorithm development, neurally inspired frameworks, hardware architectures, sensing technologies, software frameworks, and applications. During submission, please indicate which of the following topics your paper impacts.

Sept. 17, 2026

PhD position in computational neuroscience at University of South Carolina

by Z S

Dear all, Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *PhD students in computational neuroscience *in the Department of Psychology. 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, 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 computational modeling (e.g., deep learning models) 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 machine learning models and neuroimaging, supported by the brand-new Brain Imaging Center (with 3T and 7T MRI scanners) and the Biobehavioral Research Center at the University of South Carolina. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and biomedical research techniques. The candidate will have full access to rich in-house and public datasets, and advanced neuroimaging platforms. Our lab fosters a collaborative and productive environment, and we actively support PhD students in generating high-quality research publications, applying for fellowships and securing their future career paths. Key roles: · Data analysis; present results and publish papers under the PI’s supervision · Keep up-to-date on relevant studies and methods, and actively discuss them with the PI · Present your work at national and international conferences Requirements: · Bachelor’s or Master’s degree in a relevant field (e.g., computational neuroscience, math, data science, biostatistics, biomedical engineering) · Experience with neuroimaging MRI data analysis is preferred. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

Sept. 16, 2026

NITMB Fellowships Call for Applications

by William L. Kath

*NITMB Fellowships Call for Applications* NITMB is seeking early-career researchers who have an interest in transforming biological research and inspiring new mathematical discoveries. This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. This position is open to individuals less than seven years post-attainment of their Ph.D. degree. Applicants will need to have completed a doctoral degree by September 1, 2027 in one of the following fields: * Mathematical and Physical Sciences * Biological Sciences * Computer Science * Engineering * or related fields For full consideration, applications must be submitted by *November 15, 2026.* See here for more information: https://www.nitmb.org/nitmb-fellows-program/ Apply here: https://www.mathjobs.org/jobs/list/28792

Sept. 16, 2026