- Comp-neuro - lists.cnsorg.org

Diagnosing inconsistent partial-cue recall in a small recurrent LIF network

by 오성민

Hello, I’m developing an independent, AI-assisted computational modelling project. My immediate goal is reliable partial-cue recall that depends on learned recurrent connections. I would appreciate advice on the first diagnostic to prioritize, or a published working model suitable for comparison. The network has 24 input channels, 96 expansion neurons, 48 excitatory recurrent memory neurons, and a fixed 32-neuron LIF readout. Input-to-expansion connections learn normalized input/spike coactivity during storage. Recurrent memory weights also learn; all weights are frozen during evaluation. The protocol presents a six-channel pattern P for 1,000 ms, then zero input for 500 ms, followed by three of P’s channels continuously for 200 ms. The current endpoint is cosine similarity between readout spike counts and a full-P reference recorded before learning. A paired control restores the same post-storage checkpoint and resets only recurrent weights to their initial values. Input-pathway weights, neural state, retained traces, and initial RNG state are preserved. A separate recurrent-learning-off condition still permits input-pathway learning during storage. Across three seeds, learned-minus-reset cosine differences were +0.003414, +0.003999, and −0.037353. This did not meet the specified robustness criteria. In the negative case, learned and reset branches had identical per-neuron memory spike counts, but different spike timings. Five readout spikes were absent in the learned branch; its score was 0.842399 versus 0.879752 after reset. Also, naïve readout responses to two overlapping full patterns were very similar in two seeds, with P/Q cosines of 0.97846 and 0.99618; the third was 0.77380. These observations do not establish successful recall hidden by the readout. Some implementation details: - Current-based LIF, dt=1 ms, tau=20 ms, rest/reset=−65, threshold=−50, refractory period=2 ms. - Recurrent connections are directed, excitatory-only, approximately 60% dense, with no self-connections and a one-step delay. Weights start at 0.6 and are clipped to [0,8]. - The learning rule examined here is dW[j,i]=0.06*spike[j]*pre_trace[i]−0.025*post_trace[j]*spike[i]. Both traces decay with a 20-ms time constant; updates use decayed traces before adding current spikes. - Expansion-to-memory and memory-to-readout projections each supply 12 inputs per postsynaptic neuron, weighted 180 and 120 respectively. Which diagnostic would you prioritize to localize the bottleneck between learned recurrent completion and its measurement through the fixed readout, while accounting for the learned input pathway? What contrasting outcomes would make that diagnostic informative? A published LIF associative-memory model with a comparable partial-cue test would be particularly helpful. I am seeking a practical next step toward a working circuit, while keeping the existing endpoint and negative findings unchanged. Thank you. 오성민 Independent researcher Unaffiliated

Oct. 28, 2026

Postdoc Fellowships at WashU

by Goodhill, Geoffrey

POSTDOCTORAL FELLOWSHIPS AVAILABLE AT WASHINGTON UNIVERSITY IN ST LOUIS The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental neuroscience labs at WashU. Deadline for applications is Dec 1st 2026. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences at WashU, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked =6 worldwide for Neuroscience and Behavior by USNews. Salary for CTCN Fellows is $80,000 plus $10,000 for research costs and travel. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows Professor Geoffrey J Goodhill CTCN Director Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Oct. 28, 2026

[Jobs] two 4 years PhD positions with Prof. Laurenz Wiskott at Ruhr University Bochum, Germany, for modeling episodic memory in humans

by Laurenz Wiskott

Germany : Ruhr University Bochum : Faculty of Computer Science : Institute of Neuroinformatics : Theory of Neural Systems Application platform: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d… In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) 01.01.2027 pending funding approval, we are looking for candidates (m/f/x) for two Doctoral Positions. The Institute of Neuroinformatics is a research institute of the Faculty of Computer Science at the Ruhr University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Bochum is one of the centers of episodic memory research with a coherent framework developed within the DFG Research Unit 2812 "Constructing Scenarios of the Past" (https://for2812.rub.de/) combining psychology, neuroscience, philosophy, and computational neuroscience. In order to fill two fixed-term positions in part-time (29.87 hours/week = 75%) from the 1st of January 2027, pending funding approval, we are looking for 2 doctoral students in the research group of Professor Laurenz Wiskott. The research focuses on modeling generative episodic memory within a large, highly interdisciplinary research consortium in close collaboration with experimental partners. The methods used draw from neural network theory and machine learning. Your tasks: * Contributing to the development of an integrated systems level model of generative episodic memory. * Integrating this model with other aspects of cognition, such as planing and reasoning. * Modeling experimental data. * Communication with experimental partners. * Publication of results. Your profile: * Very good Master degree in physics, mathematics, computer science, engineering, or a related field. * Interest in interdisciplinary research in the area of neuroscience. * Good programming and mathematical skills. * Basic knowledge in machine learning. Advantageous: * Experience in modeling. * Experience in interdisciplinary projects. * Programming skills in Python. We offer: * Challenging and varied tasks with a high level of independence * Collaboration in a committed and appreciative team * Extensive training and professional development opportunities * Options for flexible working (mobile working and teleworking) * An interesting interdisciplinary environment in the field of theoretical brain research / machine learning. * Freedom to shape the project yourself. * Infrastructure that facilitates close integration into the institute and the research group. * Opportunity to pursue a Ph.D. Further information: The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum. If the position is funded by third-party funds the employee has no teaching obligation. RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/mitarbeitende/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr(a)rub.de. The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact persons for further information: Laurenz Wiskott , Tel.: +49 234 32 27997 Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed. We look forward to receiving your application via our online application portal by 2026-11-09. Please make sure to mention the reference number ANR 6248: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d…

Oct. 28, 2026

Postdoctoral contract at Instituto de Neurociencias (Alicante, Spain) - up to 2 years

by Encarni Marcos Sanmartin

Dear colleagues, We are looking for a *postdoctoral researche*r to join our lab, the Plasticity of Brain Networks at the Institute for Neurosciences (CSIC–UMH) in Alicante, Spain. Please find the full announcement attached. I would be grateful if you could share it with anyone who might be interested. One of our research lines focuses on studying how different brain regions interact to shape our choices, and how the body, and movement in particular, influences what we decide. We combine behavioral tasks in animal models,* in vivo* electrophysiology, and computational modeling. The postdoc will: • Train animals in decision-making tasks • Perform in vivo electrophysiological recordings • Analyze behavioral and neural data, in close interaction with computational modeling *Requirements*: PhD in Neuroscience, Biology, Psychology, Physics, Engineering, or a related field; demonstrable hands-on experience in electrophysiology; accreditation for animal experimentation; good written and spoken English. *Valued*: experience training animals in behavioral tasks and programming skills (Python/MATLAB). We *offer* a full-time contract for up to 2 years, with salary according to UMH scales, in a Severo Ochoa Center of Excellence a few minutes from the Mediterranean Sea. To apply, please send your CV, a cover letter, and contact information for two references to emarcos(a)umh.es. Applications will be reviewed on a rolling basis until the position is filled. Direct link to the offer: https://in.umh-csic.es/es/ofertas/postdoctoral-position-2-years-neural-mech… Feel free to contact me with any questions. Best regards, Encarni Marcos Plasticity of Brain Networks Lab Institute for Neurosciences (CSIC–UMH) Alicante, Spain emarcos(a)umh.es

Oct. 28, 2026

call for Workshops, RLDM

by Becket Ebitz

We invite submissions for workshop proposals for the 7th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2027), to be held July 6-9, 2027 at Maison de la Chimie, Paris, France. Workshops are a half-day and held during the conference. The submission deadline for workshop proposals is Friday, December 11, 2026, with notification by January 15, 2027. Proposals should be submitted via the google form linked below. What are RLDM Workshops? The goal of the RLDM workshops is to encourage interdisciplinary discussion and to provide an informal forum for researchers to discuss important questions and challenges focused on a specific topic. Workshop topics may include anything from important current/controversial issues, open problems, and comparisons of competing approaches. You are free to choose a format that suits the topic, and in the past have included invited oral presentations,’blitz’ talks, panel discussions, data modeling challenges, hackathons, debates, and symposia aimed at improving communication between researchers from different fields rather than presenting novel research. Or a combination of any of those! Workshop organizers propose the workshop content, coordinate speakers, and provide the program for the workshop in a timely manner (a rough suggested timeline will be posted in the FAQ soon). Organising a workshop is your chance to shape the conference or kickstart a new community, so we encourage researchers at all stages of their career to consider getting involved in a workshop proposal. For inspiration, have a look here for workshops at RLDM2025: https://rldm.org/past-meetings/rldm2025/workshops/ How to Submit Workshop proposals are due by 23:59 UTC on Friday, December 11, 2026. They can be submitted using the following form: https://docs.google.com/forms/d/e/1FAIpQLSc2ODIMAUncPtVn50Tf_Ulw0pK-fKqLUdH… Notifications will be provided by email on or before January 15, 2027. Proposals will be asked to respond to the following questions: -- Workshop title and acronym (if available) -- A brief description of the workshop focus (max 2000 characters) -- A brief justification of how this workshop engages the multidisciplinary RLDM community. If a similar theme has been explored in recent years or at other venues, please highlight the new developments that warrant revisiting this topic (max 1000 characters) -- A short description of the format of planned activities (talks, panels, invited speakers, activities, etc.) (max 1500 characters) -- A list of invited speakers, and indicate who has confirmed their willingness to participate. Note that it is not necessary at this stage to have established confirmation from all participants in the workshop and that the workshops are 1/2 day. -- A list of workshop organizers with web page URLs if available. -- A brief mention of any past event or workshop organizing experience. We encourage at least one organizer to have past event organizing experience. (max 500 characters) -- The email addresses of all workshop co-organisers. FAQ Q: Is there any travel funding available for workshop speakers? RLDM will not be able to provide travel funding for workshop speakers. In previous years, some workshops have sought and received funding from external sources to bring in outside speakers and RLDM is open to that model. Organizers should list all funding sources in the proposal. Q: Who should I contact with questions? Please feel free to contact us at rebitz(a)gmail.com and giorgia.ramponi(a)uzh.ch if you have any questions! For the quickest response please use “RLDM2027 Workshops” in your subject line. Q: How will proposals be evaluated? Workshop proposals will be evaluated and selected by the RLDM Workshop Chairs based on the following metrics, in no particular order: 1. Relevance to the RLDM community 2. Interdisciplinary scope of the proposal 3. Current interest in the topic within the community 4. Diversity and equity in the proposed presenters/speakers/organizers 5. Potential for new research directions and interactions to emerge Q: What if I want to get involved with a workshop proposal, but I don’t have co-organizers? Please get in touch with us over email; we might be able to pair you with other possible co-organizers. Q: How many workshops will there be? Around six. Sincerely, Becket Ebitz and Giorgia Ramponi RLDM2027 Workshop Chairs

Oct. 27, 2026

Pynapple & NeMoS workshop on neural data analysis

by Edoardo Balzani

Dear colleagues, We are running an hands-on workshop on two open-source Python packages for systems neuroscience, held at the Flatiron Institute in New York City from January 26 to January 28, 2027: - *Pynapple*, for loading, manipulating, and analyzing neural and behavioral time series. - *NeMoS*, for statistical modeling of neural activity, including generalized linear models (GLMs) and GLM-HMMs. *Application Deadline: *November 22, 2026 The workshop combines lectures with hands-on coding sessions on real datasets. Details and registration: https://www.simonsfoundation.org/events/ccn-software-workshop-2027/ *Workshops at your institution* Next year we also plan to teach shorter, more focused versions of the workshop at host universities. The host takes care of the logistics (room, recruiting and coordinating attendees), and members of our team teach the material. If you would like us to teach at your department or PhD program, or want more information, please reply to this email. Please forward this message to anyone who may be interested. Best regards, The NeuroRSE team

Oct. 27, 2026

[Meetings] Call For Applications 2027 Nengo Summer School

by Madeleine Bartlett

Dear colleagues, The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 12th 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 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 21st, 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 30th to June 11th, 2027 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! Best, Maddy she/her/elle Associate Research Officer / Agent de recherche associé National Research Council Canada / Conseil national de recherches Canada Adjunct Professor / Professeur adjoint Psychology Department at the University of Waterloo / Département de psychologie de l'Université de Waterloo Email NRC: maddy.bartlett(a)nrc-cnrc.gc.ca Email UW: madeleine.bartlett(a)uwaterloo.ca

Oct. 27, 2026

JOB: Faculty Position in Cognitive Psychology, Seoul National University

by Jiook Cha/SNU/Psychology

Dear comp-neuro list members, The Department of Psychology at Seoul National University is recruiting a full-time faculty member in Cognitive Psychology. The position is open to all subfields. I would be grateful if you could circulate the announcement below to the list. Faculty Position in Cognitive Psychology, Seoul National University The Department of Psychology in the College of Social Sciences at Seoul National University (SNU) invites applications for a full-time, tenure-track or tenured faculty position in Cognitive Psychology, with an anticipated start date of September 1, 2027. We welcome applications from all subfields of cognitive psychology. Applications will be accepted from December 1, 2026, until 16:00 KST on December 30, 2026. What we seek We seek a pioneering scholar who is advancing an independent research program that addresses important, unresolved questions about human cognition. We welcome researchers who formulate new theoretical accounts and test them through rigorous experimental and behavioral research, extending the explanatory reach of cognitive psychology. We encourage applications from scholars who are open to new approaches, lead research collaborations in Korea and abroad, and help shape the direction of the field through their contributions to international scholarly debate. Teaching and mentoring The successful candidate will teach undergraduate and graduate courses, including laboratory courses in cognitive and behavioral experimentation, and mentor student research. We aim to strengthen training in experimental approaches to psychological science and develop research training that incorporates generative models. Academic environment The Department of Psychology at SNU runs the Institute of Psychological Science, and its faculty participate in interdisciplinary research within and beyond the university. SNU's Interdisciplinary Programs in Neuroscience and in Cognitive Science, along with the Graduate School of Artificial Intelligence, provide opportunities to engage with researchers in neuroscience, linguistics, philosophy, and artificial intelligence. The Department also leads Brain-Mind-Behavior, an undergraduate interdisciplinary program with participation from Economics, Philosophy, Biological Sciences, Computer Science and Engineering, and other departments. Application information Field: Cognitive Psychology Anticipated start date: Wednesday, September 1, 2027 Eligibility, appointment terms, and required documents: Applicants must hold a doctoral degree and meet SNU's faculty appointment eligibility requirements. Please see the official announcement below for appointment terms and detailed document requirements. Letters of recommendation: At least two letters from specialists in the same field are required after Stage 1 (interview candidates and the letter deadline will be notified individually). Referee information must be entered at the time of application; letters may also be submitted during the application period. Requests to referees through the application system must be sent before the application deadline. Application period: Tuesday, December 1, 2026, 11:00 to Wednesday, December 30, 2026, 16:00, Korea Standard Time (KST, UTC+9) How to apply: Submit your application and upload the required documents through the SNU faculty recruitment system: https://www.google.com/url?q=https://shine.snu.ac.kr/adm/adm/hura/wrct/main… Anticipated review schedule: Stage 1 review, January 12 to February 4, 2027. Stage 2 review, February 15 to March 26, 2027. Official announcement: https://www.google.com/url?q=https://social.snu.ac.kr/%25EA%25B3%25B5%25EC%…. If this advertisement differs from the official announcement, the official Korean announcement prevails. Inquiries: For application procedures, contact the Office of Academic Affairs, College of Social Sciences (+82-2-880-6309 <02-880-6309>, yeojin(a)snu.ac.kr) For the field and the department, contact Professor Jiook Cha, PhD (connectome(a)snu.ac.kr) Best, Jiook Cha, PhD Associate Professor and Chair Department of Psychology Seoul National University

Oct. 27, 2026

[jobs] Research Software Engineer, Nengo Neural Simulation Ecosystem

by Michael Furlong

Research Associate — Research Software Engineer, Nengo Neural Simulation Ecosystem Centre for Theoretical Neuroscience, University of Waterloo · Posted 23 October 2026 Position summary The Centre for Theoretical Neuroscience is hiring a research software engineer on an 11-month term to modernize Nengo, our open-source neural simulation ecosystem. Nengo is a widely used spiking neural network simulator. The post is funded by a Research Software Maintenance Fund award from the Digital Research Alliance of Canada. The work is focussed on rebuilding continuous integration and test coverage, modernizing the OpenCL and deep-learning backends, returning the project to automated signed releases, and leaving documentation good enough for maintainers who did not write the code. About the project and team Nengo is a Python framework for building large-scale functional brain models, in continuous development since 2013. It has shipped 21 stable releases, records more than 270,000 downloads, and runs models across CPUs, GPUs and neuromorphic hardware including Intel Loihi and SpiNNaker. The ecosystem has outgrown its maintenance capacity. Several packages lag current Python, NumPy and GPU runtimes, continuous integration has gaps across the platform matrix, and one release sits unshipped behind completed dependency fixes. This post exists to solve these problems. You would report to Professor Chris Eliasmith and work alongside Terry Stewart and Michael Furlong of the National Research Council of Canada, who contribute code review and continuity. All work happens in public repositories through reviewed pull requests. Key responsibilities The funded work plan has seven packages. You would lead the technical work in all of them. * Testing and continuous integration. Rebuild CI across the supported platform matrix, raise automated test coverage, and add property-based tests for the numerical solvers. Establish performance and regression baselines so later improvements are measured rather than asserted. * Release engineering. Restore automated signed releases to PyPI and conda. Refresh packaging, dependency pinning and Python version support. Harden the build pipeline around credential handling and artefact signing. * GPU and accelerator backends. Update NengoOCL for current OpenCL runtimes, GPU drivers and Python versions. * Deep learning integration. Modernize NengoDL against current deep-learning runtimes. * Interactive interface. Broaden NengoGUI compatibility across current browsers, since it is the main entry point for new users. * Models and examples. Update the NengoZoo model and example collections. * Documentation. Consolidate user and maintainer documentation, update the maintainer handbook and contributor guide, record architecture decision records for the core abstractions, and publish machine-readable citation metadata with a versioned DOI per release. Alongside these, you would integrate software composition analysis and static analysis into CI, enable dependency vulnerability monitoring, and help publish a documented vulnerability disclosure procedure. Required qualifications * Training in computer science, engineering, neuroscience, physics, mathematics or a related field. PhD preferred. * Strong Python, with demonstrated fluency in the scientific stack, particularly NumPy and SciPy. * Demonstrated experience maintaining a non-trivial open-source project or research codebase: continuous integration, packaging, releases, issue triage and code review. * Working knowledge of at least one accelerator or deep-learning runtime, such as OpenCL, CUDA, PyTorch, TensorFlow or JAX. * Comfort working in public repositories through reviewed pull requests, with the code and the discussion visible. We are interested in evidence of what you have built and maintained. Preferred qualifications Prior use of Nengo or the Neural Engineering Framework, including through the Nengo Summer School. * Experience with neuromorphic hardware: Intel Loihi, SpiNNaker, BrainScaleS or FPGA targets. * Background in computational neuroscience, cognitive modelling or spiking neural networks. * Supply-chain and software security practice: dependency scanning, static analysis, artefact signing, vulnerability disclosure. * Full stack web development, for the NengoGUI work. * Technical writing for a developer audience, including API and architecture documentation. Terms of appointment Item Detail Classification Research Associate, University of Waterloo Term 11 months, non-renewable under this award Salary $110,000 for the full term Start date December 1, 2026, or as soon as possible thereafter Hours Full time, 1.0 FTE Location Waterloo, Ontario. Hybrid, with a strong preference for candidates who can work from campus regularly. Fully remote within Canada will be considered for an exceptional candidate. Unit Centre for Theoretical Neuroscience, University of Waterloo Supervisor Professor Chris Eliasmith The term is 11 months, which is a condition of the award. The appointment does not include pension participation or insured health benefits, which Waterloo extends to research appointments of one year or more; statutory benefits and vacation pay apply. We are reviewing applications as they arrive. How to apply Send the following to celiasmith(a)uwaterloo.ca, with the subject line "Nengo Research Associate Application": 1. A CV. 2. A link to code you have written or maintained, with one or two sentences on what your contribution was. A public repository, a package you maintain, or merged pull requests to someone else's project all work. 3. A short note, no more than a page, on how you meet the job requirements, and what you would tackle first and why. Applications are reviewed as they arrive and the posting closes when the position is filled. Required disclosures * Compensation. $110,000 for the 11-month term. There is no bonus, commission or other variable compensation attached to this position. * Vacancy status. This posting is for an existing vacancy, newly created by external research funding. * Artificial intelligence. Artificial intelligence is not used to screen, assess or select applicants for this position. * Canadian experience. Canadian work experience is not required. Applicants must be legally entitled to work in Canada by the start date. Applicants will be notified of the outcome within 45 days of their final interview. The University of Waterloo is committed to achieving barrier-free accessibility for persons with disabilities. Applicants who require accommodation during the recruitment process should contact the address above. The University regards equity and diversity as integral to academic excellence and encourages applications from all qualified candidates.

Oct. 26, 2026

CFP: FLAIRS40, Neural Network Special Track, St. Pete Beach, FL, May 24-27, 2027

by David B

*Deadlines* Abstract Submission: January 22, 2027 Paper Submission: February 1, 2027 Paper Acceptance Notification: March 9, 2027 Camera Ready Version: April 5, 2027 *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double- blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. *Topics of interest may include (but are not limited to):* Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Deep Learning, Back Propagation, RBF, SVM, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-40.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Lori Bogren (SomaLogic, USA) Ramesh Paudel (Sysco Corporation) Olac Fuentes (University of Texas at El Paso) Masoud Badiei Khuzani (eBay, USA) Tomasz Palczewski (SAP, USA) Chi Weng Cheong (PGIM, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Roberto Santana (University of Basque Country, Spain)

Oct. 26, 2026