March 2024 - Comp-neuro - lists.cnsorg.org

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L Dec. 11, 2025

Dec. 11, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber Oct. 17, 2025

Oct. 17, 2025

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. 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>

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Save the date: UK Neural Computation meeting July 8-10th, Sheffield
by Mark Humphries Jan. 24, 2025

Jan. 24, 2025

Save the date! The UK Neural Computation meeting is in Sheffield for 2024, the gathering of the UK’s computational and systems neuroscience community 8 July: ECR day 9-10 July: main meeting 11 invited speakers, 4 talks from abstracts and loads of posters Abstract submission and registration opening soon Please spread the word! More details: https://neuralcomputation.uk/ Enquiries: uknc24(a)sheffield.ac.uk<mailto:uknc24@sheffield.ac.uk> Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina Dec. 16, 2024

Dec. 16, 2024

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Python Package: SER model
by Fabrizio Damicelli Aug. 8, 2024

Aug. 8, 2024

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK)
by Mark Humphries April 22, 2024

April 22, 2024

A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Please send all queries to Silvia (silvia.maggi(a)nottingham.ac.uk) or Mark (mark.humphries(a)nottingham.ac.uk) Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci… Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoc in Machine Learning for Neuroscience, Edinburgh
by Matthias Hennig April 3, 2024

April 3, 2024

We are looking for a postdoctoral researcher to develop new machine learning approaches for the analysis of large-scale extracellular recordings. The position is part of a wider effort to enable new discoveries with state-of-the-art electrode arrays and recording devices, and jointly supervised by Matthias Hennig and Matt Nolan. It offers a great opportunity to work with theoretical and experimental neuroscientists innovating open source tools and software for systems neuroscience. Based in Edinburgh - vibrant neuroscience community and a great place to live. More information and application details: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/job/10003 Feel free to contact me for more information (m.hennig(a)ed.ac.uk) Best, Matthias -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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World wide VVTNS series: Wednesday, April 3 at 11am (EDT),Manuel Beiran Columbia University | Prediction of neural activity in connectome-constrained recurrent networks
by David Hansel March 31, 2024

March 31, 2024

Important: North America moved to daylight savings time on March 10 Please check the time in your country ------------------- [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Manuel Beiran Columbia University on the topic of "Prediction of neural activity in connectome-constrained recurrent networks *"* The lecture will be held on zoom on *April 3, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *In this talk, I will explain a theory of connectome-constrained neural networks in which a “student” network is trained to reproduce the activity of a ground-truth “teacher”, representing a neural system for which a connectome is available. Unlike standard paradigms with unconstrained connectivity, here both networks have the same connectivity but they have different biophysical parameters, reflecting uncertainty in neuronal and synaptic properties. We find that the connectome is often insufficient to constrain the dynamics of networks that perform a specific task, illustrating the difficulty of inferring function from connectivity alone. However, recordings from a small subset of neurons can remove this degeneracy, producing dynamics in the student that agree with the teacher. Our theory can prioritize which neurons to record from to most efficiently unmeasured network activity. The analysis shows that the solution spaces of connectome-constrained and unconstrained models are qualitatively different, and provides a framework to determine when such models yield consistent dynamics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. 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.* -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

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Research Summit on Fundamental Challenges for AI. Mountain View, April 15th.
by Battleday, Ruairidh March 29, 2024

March 29, 2024

We are most excited to announce the AE Spring Summit on Fundamental Challenges for AI (Computer History Museum, Mountain View; April 15th). www.algopreneurship.org This is a day of keynote talks and panels by leading AI researchers on what the open problems for the development of AI algorithms are, and promising scientific and engineering strategies for solving them. We have invited speakers and representatives from the following five technical stakeholder groups to this Summit: - Academia - Tech - FROs / nonprofits - Start-up - VCs / Funders By soliciting answers and discussions from scientists and leaders at these different groups we hope to also examine what their different roles will be in the next period of AI research, and to foster the sharing of research between them. This should be an exciting and productive day, and we have made lower-priced tickets available for students and early-stage researchers. Lunch and a reception will be provided. We look forward to seeing some of you there, and please feel free to share news about the event on social media. The Thinking About Thinking <http://www.thinkingaboutthinking.org> Team Twitter / X: https://bit.ly/springsummitaix LinkedIn: https://bit.ly/springsummitaiLI -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Doctoral studies in the computational neuroscience of decision-making
by Paul Cisek March 28, 2024

March 28, 2024

Doctoral studies in the computational neuroscience of decision-making Department of Neuroscience, University of Montreal Applications are invited for doctoral studies in computational neuroscience, in the laboratory of Paul Cisek at the University of Montreal. Our research investigates the neural mechanisms of embodied decision-making and action planning in humans and non-human primates using computational models of the nervous system integrated with behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording in multiple regions of the cerebral cortex and basal ganglia. New projects will use virtual reality to study naturalistic behavior in humans and non-human primates and develop theoretical models of how distributed cortical and subcortical circuits govern continuous interaction with a dynamic environment. We are currently seeking a PhD student whose primary project will involve mathematical models that capture and explain data from previous and current experiments and make testable predictions for future work. Students with a strong background in mathematics, engineering, computer science, or physics, coupled with a keen interest in theoretical neuroscience are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is desirable. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>). Applications will be accepted until the position is filled, but preference will be given to applications received before April 30, 2024. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

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Present at Assembly 2024: Submit your IP session abstract today
by INCF March 28, 2024

March 28, 2024

Present at Assembly 2024: Submit your IP session abstract today! Deadline: April 08 **please share with your networks** Are you interested in speaking at INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/>? We are seeking 3 investigator presentations for each of the 4 main sessions at INCF Neuroinformatics Assembly 2024: - FAIR neuroscience - Technologies for large-scale computation and team science - Applications of AI to neuroscience research - Closing the discovery loop and digital twins Those selected for investigator presentations will have their registration fee waived. See the full list of topics & apply today <http://bit.ly/INCFabstracts> Poster abstract submissions <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are also open - be sure to check them out while time lasts! /The INCF Team

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Poste de Maître de Conférences des Universités (MCF) ouvert en vision par ordinateur, Université de Lille
by Chaabane Djeraba March 27, 2024

March 27, 2024

The position of Assistant Professor in computer science is open at the University of Lille. It is open for the FOX research team (https://www.cristal.univ-lille.fr/equipes/fox/) which wishes to strengthen research in the field of computer vision, and in particular: * vision and artificial intelligence * spiking neural network and neuromorphic approaches to computer vision * frugal learning for computer vision https://galaxie.enseignementsup-recherche.gouv.fr/antares/fichePosteAntee?t… Candidates will be expected to publish in vision-related conferences and journals. In terms of disciplinary teaching, there is a strong need for courses in areas such as computer architecture, system programming, networks, cybersecurity; programming and software engineering; algorithms, automata, languages, logic; data, AI, machine learning; HMI, vision, image processing. More generally, the experience of candidates coming to reinforce all the department's teaching units will be appreciated. Please contact: Chaabane Djeraba (chaabane.djeraba(a)univ-lille.fr) and Marius Bilasco (marius.bilasco(a)univ-lille.fr) for further information. — Chaabane Djeraba Professeur des Universités en Informatique Univ. Lille CRIStAL CNRS - UMR 9189 Cité Scientifique 59650 Villeneuve d'Ascq Cedex - France

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Deadline approaching: Call for Satellite Workshop Proposals - Bernstein Conference 2024
by Alexander Lammers March 27, 2024

March 27, 2024

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the Bernstein Conference 2024 in Frankfurt am Main, Germany. Deadline: April 10, 2024 – 15:00 CEST ____ Bernstein Conference Each year, the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. https://www.bernstein-conference.de/ ____ Invited speakers Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ Satellite Workshops Satellite Workshops of the Bernstein Conference 2024 provide a forum to discuss topical research questions, novel scientific approaches, and challenges in computational neuroscience and related fields. Ideally, the format should foster extensive scientific discussions and debates, and go beyond a mere series of talks. https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… ____ Important Dates Satellite Workshops: September 29 - 30, 2024 * Sunday, Sep 29, 14:00 - 18:30 CEST * Monday, Sep 30, 8:30 - 12:30 CEST Main Conference: September 30 - October 2, 2024 Deadline for Satellite Workshop proposal submission: April 10, 2024 – 15:00 CEST Notification of Satellite Workshop acceptance: May 2024 ____ Benefits of participation Satellite Workshop registration is free for speakers of workshops. Workshop organizers (max. 2 per workshop) will receive waivers for the Satellite Workshops and Main Conference. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Last few days to apply to the Eresfjord School "Mathematical Methods in Computational Neuroscience"
by Ines Samengo March 27, 2024

March 27, 2024

If you are a master, a PhD student, or a postdoc working in computational neuroscience, you may want to consider applying to the Eresfjord summer school "Mathematical Methods in Computational Neuroscience" taking place in Eresfjord, Norway, between the 8th and the 16th July 2024. The deadline is next Sunday 31st March. More information in https://www.compneuronrsn.org/

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Postdoc/Master position ML
by Sivan Kinreich March 26, 2024

March 26, 2024

Please forward this to those who may be interested: Dr. Kinreich's group at SUNY Downstate Medical Center, NY ( https://www.pmbd2.org/) investigates the structural and functional neural networks (fMRI, EEG), genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and seek a skilled, motivated, and enthusiastic individual with a Master's degree / postdoctoral fellow to join the lab. The position: Education: Candidates must have a Master's degree or a Ph.D. degree (or towards completion) in computational neuroscience, biology, computer science, data science, or a related discipline. Computer and General Skills: Knowledge of experimental statistics and excellent programming skills are required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is desirable. Takes initiative. Strong communications skills and research productivity, as well as the ability to work effectively in a research team. Duties and Responsibilities: • Managing and analyzing big data, including neuroimaging, genetics, and clinical data • Writing machine learning programs in Python and Matlab to identify patterns in data • Writing manuscripts • Presenting findings at national conferences and local seminars/meetings This job is available immediately for 2 years. Job is open until filled. Salary will be commensurate with experience and qualifications according to NIH scales. Candidates should send their CV, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich(a)downstate.edu Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab (PMBD2) Henri Begleiter Neurodynamics Laboratory SUNY Downstate Medical Center 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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FLUX workshop for MEG data analysis
by Qiaoyu Chen March 26, 2024

March 26, 2024

[cid:e934249d-37a9-41ef-9696-bb8c8f3992cf]Toolkit in Using the FLUX Pipeline for MEG Research Join us for an immersive learning experience using the FLUX pipeline for MEG data analysis Toolkit at the Centre for Human Brain Health at the University of Birmingham from 11th -14th June 2024. The FLUX pipeline<https://www.neuosc.com/single-project>, is an approach for analysing Magnetoencephalography (MEG) data using state-of-of-the art approaches and standards. Whether you are a newcomer to research using MEG or a healthcare professional integrating MEG into clinical practice, this course is designed to elevate your skills and advance your research capabilities. · Gain practical skills: Learn to streamline data preprocessing, event-related field spectral analysis, source modeling, multi-variate pattern analysis, and reporting using the FLUX pipeline. This pipeline is based on the widely used MNE-Python toolbox. · Enhance research practices: Learn the embraces practices for data curation (BIDS), reproducible research, open science, and standardized reporting empowering you to publish reliable and transparent findings. · Cognitive Neuroscience and Clinical Research: Learn how the FLUX pipeline is used in our MEG research projects. · Engage in interactive learning: Connect with world-leading experts and fellow attendees in discussions, exercises, and networking opportunities, fostering valuable collaborations and knowledge exchange. Application (pre-registration) deadline: 15th April 2024, 11:59 pm (GMT) Join us at the Centre for Human Brain Health for the FLUX toolkit course<https://www.neuosc.com/flux-toolkit>! For pre-registration, please visit https://www.neuosc.com/pre-registration. Contact us at q.chen.5(a)bham.ac.uk<mailto:q.chen.5@bham.ac.uk> for further details.

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Cogitate Connectivity Data Challenge at BIOMAG 2024
by Qiaoyu Chen March 26, 2024

March 26, 2024

We’re thrilled to invite researchers and enthusiasts to the Cogitate Connectivity Data Challenge<https://www.arc-cogitate.com/biomag-2024>, a featured event at BIOMAG 2024<https://www.biomag2024.org/cms/call-for-submissions-2-2/>! [cid:00d63bba-7772-41cb-8330-edb48529bde1] What’s the Challenge About? The Cogitate Connectivity Data Challenge aims to scrutinize contrasting predictions of two neuroscientific theories of consciousness: Global Neuronal Workspace Theory (GNWT) and Integrated Information Theory (IIT). Your task is to explore meaningful measures of functional connectivity using MEG data sets collected from healthy volunteers. MEG data have been collected from approximately 100 participants. The first batch of data will be available from March 25, 2024, setting the stage for your initial discoveries. Following this, the replication dataset will be released on June 15, 2024, offering further opportunities to validate and deepen your findings. Timeline * Data release - Batch 1: March 25, 2024 * Report - First draft/preregistration: June 14, 2024 [23:59 GMT] * Data release - Batch 2: June 15, 2024 * Report - Replication: July 15, 2024 [23:59 GMT] * Competition scoring: July 16 - August 25, 2024 * Competition results: August 26-29 @ BIOMAG 24 Prizes Entries will be evaluated by a board from the Cogitate Consortium, with prizes awarded as follows: * 1st prize: $1000 * 2nd prize: $500 * 3rd prize: $250 The winners will be announced at BIOMAG 2024<https://www.biomag2024.org/cms/call-for-submissions-2-2/> in Sydney (Australia), August 26-29, 2024. For more information, visit the Cogitate Connectivity Data Challenge<https://www.arc-cogitate.com/biomag-2024> website. If you have any questions or need assistance, feel free to reach out to us at cogitateconnectivitychallenge(a)gmail.com<mailto:cogitateconnectivitychallenge@gmail.com>. Best regards, the Organizing Committee

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PhD/Postdoc positions available at the Max Plank Institute in Leipzig (Germany) and BCBL in San Sebastian (Spain)
by Alejandro Tabas March 26, 2024

March 26, 2024

The Perceptual Inference Group is building an interdisciplinary team of cognitive and computational neuroscientists to work at the interface between machine learning and ultra-high-resolution fMRI. We are currently looking for postdocs and PhD students. Our group investigates how cortical and subcortical populations of the brain work together to infer the content of noisy sensory signals at multiple timescales. We work primarily in the auditory modality and the human brain, but collaborate closely with animal electrophysiologists. The positions are funded by the ERC and there will plenty of funding for conferences, traveling between Leipzig and San Sebastian, and visiting our large network of international collaborators. The positions will be primarily based in one of the two cities and traveling will be optional. Ideal candidates will have a background in either cognitive neuroscience (including experimental psychology) or a quantitative discipline (physics, computer science, statistics, or related) and a keen interest in building models of brain function. Experience on layer-fMRI, probabilistic modelling, high-resolution fMRI data analysis, state-space models, auditory experimental paradigms, and/or predictive processing are bonuses. For more information and for applying, please check: (For the PhD/Postdoc positions based in San Sebastian): https://www.bcbl.eu/en/join-us/job-offers (Job offers from the Perceptual Inference Group) (For the PhD/Postdoc position based in Leipzig): https://recruitingapp-5218.de.umantis.com/Vacancies/412/Description/2/Defau… For questions and/or enquires please feel free to contact me at tabas[at]bcbl[dot]eu or tabas[at]cbs[dot]mpg[dot]de, I'm more than happy to chat informally about the positions! Cheers, Alejandro.

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Neuroscience and Artificial Intelligence meeting - Bordeaux May 23-24
by Arthur Leblois March 25, 2024

March 25, 2024

Dear compneuro list members, The French Society for Neuroscience organizes a meeting on *Neuroscience and Artificial intelligence <https://www.neurosciences.asso.fr/JT2024/>*, taking place on the 23 and 24rd of May 2024 in Bordeaux, France. It will be an important place and time to discuss about state of the art in the fields joining neuroscience and AI developments. Also plenty of time to debate about current technical, theoretical, and ethical issues, and of future directions to take, which should impact way beyond neuroscience. Early bird registration <https://www.neurosciences.asso.fr/JT2024/inscriptions>on th*e 31st of March*, registration deadline 7th of May. Please forward to your colleagues, collaborators, and advertise in your respective networks! Looking forward to seeing you in Bordeaux! Arthur Leblois, Emmanuel Procyk, and Nicolas Rougier, coordinators

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School of Ideas in Neuroscience 2024: Deadline March 29th
by Mateusz Kostecki March 25, 2024

March 25, 2024

Hello! We would like to remind you that the deadline for application to School of Ideas in Neuroscience 2024* is Friday, March 29th!* How the knowledge in neuroscience is accumulated? How can we make sense of the terabytes of empirical data we collect every day? In everyday work, we often forget that every scientific endeavour is embedded in a broader theoretical framework. At the same time, most courses and workshops in neuroscience teach us experimental techniques, giving us more tools to gather more data. But, we are not taught how to develop ideas and integrate our research with the existing knowledge. *We believe that theoretical thinking and idea development are skills that can be trained just as new methodologies and data analysis tools*. At our school, we aim to teach participants how to think theoretically to collect data that makes sense and to make sense of collected data! Come to Warsaw to discuss the most exciting theories and ideas with neuroscientists & philosophers! We provide beautiful surroundings, great atmosphere and a lot of time to talk and think together. The school will take place in Warsaw, *July 9th - July 15th 2024*, in the famous historical building of Polish Academy of Sciences Museum of the Earth, in the beautiful park area of the city. *The fee is EUR 550, but we offer fee waivers and travel grants*. Please find more info and the application form here - https://nenckiopenlab.org/school-of-ideas-2024/ Best, School of Ideas Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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CFP: Workshops in conjunction with FRCCS 2024, Montpellier, France May 28, 2024
by Hocine Cherifi March 25, 2024

March 25, 2024

We encourage researchers to participate in the FRCCS 2024 <https://iutdijon.u-bourgogne.fr/ccs-france/> workshops to share their insights and foster interdisciplinary collaborations in the study of complex systems. *Workshops* · Modeling Cities and Regions as Complex and Evolving Systems · Beauty in Complexity · Network Sparsification & beyond *Important dates* Submission Deadline: *April 14* Final Decisions Released:* April 17* Camera-Ready Deadline: *April 30* *1) **Modeling Cities and Regions as Complex and Evolving Systems* <https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-…> Cities consist of interacting entities, such as people and infrastructure, and exhibit emergent properties, which appear additionally to the sum of the isolated properties. This makes cities a prime example of complex systems. Accordingly, complexity theories and methods are particularly relevant to their study. By focusing on the commonalities that underpin urban systems, the workshop seeks to foster interdisciplinary dialogue and explore novel approaches to studying cities as complex entities. *More info at: * *https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-regions-as-complex-and-evolving-systems/* <https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-…> *Workshop chair* *Daniela Cialfi - NRCouncil of Italy - **danielacialfi(a)gmail.com <danielacialfi(a)gmail.com>* *2) **Beauty in Complexity* <https://iutdijon.u-bourgogne.fr/ccs-france/beauty-in-complexity/> The Beauty in Complexity exhibition invites researchers to share the visual wonders of their work with a wide and diverse audience. Whether it's a photograph, diagram, visualization, or montage, we encourage submissions that evoke curiosity and wonder. We seek captivating visuals showcasing the beauty found within complex systems research. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/beauty-in-complexity/ *Workshop chairs* Benjamin Renoust - *Median Technologies,- renoust@gmail <benjamin.renoust(a)mediantechnologies.com>.com *Arnaud Sallaberry - *LIRMM *- *arnaud.sallaberry(a)lirmm.fr* <arnaud.sallaberry(a)lirmm.fr> *3) **Network Sparsification & beyond* <https://iutdijon.u-bourgogne.fr/ccs-france/complex-network-sparsification/> Numerous algorithms are designed to construct simpler or smaller network representations to address scalability and performance issues. This workshop aims to bring together researchers working on the broad theme of network simplification and discuss graph reduction methods and their applications. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/complex-network-sparsification/ *Workshop chairs* Hamida Seba -* University Lyon 1- **Hamida.seba(a)univ-lyon1.fr* <Hamida.seba(a)univ-lyon1.fr> Hocine Cherifi* - University of Burgundy - **hocine.cherifi(a)u-bourgogne.fr* <hocine.cherifi(a)u-bourgogne.fr> Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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World wide VVTNS series: Wednesday, March 27 at 11am (EDT), Lorenzo Fontolan Université Aix-Marseille
by David Hansel March 24, 2024

March 24, 2024

Important: North America moved to daylight saving time on March 10 Please check the time in your country (e.g 4 pm CET) [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Lorenzo Fontolan Université Aix-Marseille on the topic of "Neural mechanisms of memory-guided behaviour*"* The lecture will be held on zoom on *March 27, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Persistent, stimulus-dependent neuronal activity has been observed in numerous brain areas during tasks that require the temporary maintenance of information. Several competing hypotheses for the neuronal mechanisms underlying persistent activity have been proposed. We have employed data-driven models in conjunction with optogenetic disruptions of neural circuits within memory-guided motor tasks. Our findings revealed a mechanism governed by dynamic attractors, pivotal in sustaining neuronal activity. This mechanism, shaped by time-varying inputs reflecting temporal predictions, is instrumental in regulating the impact of sensory information on the premotor cortex, thereby preserving memory traces from distracting stimuli. We then asked how persistent activity driven by attractor dynamics emerges during motor learning. It has been proposed that activity-dependent synaptic plasticity underpins motor learning, as it can reconfigure network architectures to produce the appropriate neural dynamics for specific behaviors. To verify this hypothesis, we investigated how the mouse premotor cortex acquires specific neural dynamics that govern the planning of movement at different stages of motor learning. We developed network models that replicated the effects of acute manipulations of synaptic plasticity. The models, which display attractor dynamics, also explain flexible behavior after learning has ended. By leveraging the model's predictions, we can formulate testable hypotheses regarding the distinct mechanisms governing movement planning at various stages of the learning process. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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NeuroBridges 2024 application deadline approaching
by Ahmed El Hady March 24, 2024

March 24, 2024

*NeuroBridges 2024* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: April 1st, 2024* *NeuroBridges 2024* is a summer school which will take place between *September 15 and September 26, 2024* in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://streaklinks.com/B3KCp_jAQOMpwC7dQwRSV3xc/https%3A%2F%2Fcollegecluny…>. The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will be also be available*. *NeuroBridges 2024 Faculty:* * Alaa Ahmed (U. Colorado) * Ahmed El Hady ( Uni Konstanz / Max Planck Institute) * Rava Azeredo da Silveira (IOB and CNRS) * Sylvie Granon (Université Paris-Saclay) * David Hansel (CNRS) * Carole Levenes (CNRS) * Yonatan Loewenstein (Hebrew U.) * Eran Lottem (Hebrew U.) * Drazen Prelec (MIT) * Reza Shadmehr (John Hopkins U.) * Haim Sompolinsky (Hebrew U. and Harvard) * *NeuroBridges*is co-organized by Ahmed El Hady (Uni Konstanz / Max Planck Institute), David Hansel (CNRS, Paris), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and Carole Levenes (CNRS, Paris). ** *NeuroBridges 2024* is supported by the Simons Foundation, the ANR and ELSC, and is in partnership with VVTNS (https://www.wwtns.online/ <https://www.wwtns.online/>). For more information and application, visit our website: https://neurobridges.net/ *Contact us:*neurobridges2024@gmail.com <mailto:neurobridges2023@gmail.com>

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Postdoc in Computational Social Neuroscience in Coimbra
by Renato Duarte March 23, 2024

March 23, 2024

The Center for Neuroscience and Cell Biology of the University of Coimbra ( CNC-UC <https://cnc.uc.pt/>) is seeking an enthusiastic PostDoctoral researcher to work at the interface between Behavioral, Systems and Computational Neuroscience. Supported by the European Union's Horizon 2020 Research and Innovation programme, under the project DYNABRAIN <https://dynabrain.cnc.uc.pt/>, the PostDoctoral fellow will conduct research activities in modelling and simulation of reward-modulated prosocial behavior and decision-making. The position is part of a larger effort to uncover the computational and mechanistic bases of prosociality and empathy at the behavioral and circuit levels and will be co-supervised by Cristina Marquez <https://cnc.uc.pt/en/people/c-marquez> and Renato Duarte <https://cnc.uc.pt/en/people/r-duarte-1>. It offers a great opportunity to work at the interface between experimental data (animal behavior and electrophysiology) and theoretical modelling (emphasis on Multi-Agent Reinforcement Learning and neural population dynamics) and to be part of a dynamic, friendly and stimulating research group. Based in Coimbra and Cantanhede and embedded in one of Europe's oldest Universities and a UNESCO World Heritage site <https://whc.unesco.org/en/list/1387/>, the CNC-UC has a vibrant neuroscience community <https://cnc.uc.pt/en/research-areas/neuroscience-and-disease> and the region offers exceptional quality of life. The ideal candidate should hold a PhD degree in Computational / Theoretical Neuroscience, Computer Science or Physics (specialising in Machine Learning and Artificial Intelligence or Biophysics) or other strongly analytical fields. Documented experience with Reinforcement Learning algorithms and Artificial Neural Networks is desirable and so is extensive programming and scientific software development experience. More information and application details: https://dynabrain.cnc.uc.pt/?page_id=2271 Note that the application deadline is April 1st, so don't delay! For further information, feel free to contact Cristina Marquez ( cmarquez(a)cnc.uc.pt) or Renato Duarte (renato.duarte(a)cnc.uc.pt)

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Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark
by Tobias Andersen March 22, 2024

March 22, 2024

Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark Do you want to play a key role in using personal health data for research in diagnosing, monitoring and treating neurophysiological disorders? We are looking for a data scientist with a keen interest in neuroscience/neuroinformatics to help us build the National Neurophysiologic Database in Denmark. The National Neurophysiologic Database is a 5-year project funded by the Novo Nordic Foundation with partners from Copenhagen University hospital, Computerome and the Technical University of Denmark. The purpose of the database is to collect neurophysiological data from all hospitals in Denmark and make it available for research. When completed, the database will contain data from more than 100.000 measurements, that can be linked to detailed patient records, making it the largest database of its kind worldwide and an unmatched resource for neurophysiological research. Responsibilities and qualifications Your role will be to structure the database in collaboration with researchers in neurophysiology, medicine and data science. You will build tools for data harmonization and quality control. You will also play a key role in analysing data for neurophysiological research. Finally, you will also participate in developing multiple privacy preserving levels of access to the database. Our ideal candidate holds a PhD in neuroinformatics, data science or a related field, and has a keen interest in developing a research career in neuroinformatics with the National Neurophysiologic Database at its center. The ideal candidate for the position will have the following qualifications: * Strong programming skills in Python and, preferably, also Matlab. * Experience in using version control systems and documenting code * Experience in managing larger software projects with many partners * Experience in communicating with end users and documenting their requirements * Solid experience with full machine learning pipelines including feature design and selection, classification and validation. * Experience in analysing neurophysiological data, particularly EEG * Good knowledge of signal processing * Motivation to pursue or, preferably, extend a research career in neuroinformatics and data science As a formal qualification, you must hold a PhD degree (or equivalent). We offer You will work with dedicated colleagues at the Section for Cognitive Systems at the Technical University of Denmark (DTU) and Copenhagen University Hospital. You will have working facilities at DTU and at Rigshospitalet. DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is initially 1 year but there are further career opportunities after the initial contract based on performance. Starting date is 1 May (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here: https://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths Further information You can get further information from associate professor Tobias Andersen toban(a)dtu.dk<mailto:toban@dtu.dk> and professor Poul Jennum mobile phone +45 4025 4795. If you are applying from abroad, you may find useful information on working in Denmark and at DTU here: https://www.dtu.dk/english/about/job-and-career/moving-to-denmark Application procedure Your complete online application must be submitted no later than 15 April 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… Fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * Application (cover letter) * CV * Academic Diplomas (MSc/PhD – in English) * List of publications * Optional: Letters of reference / Contact information for references Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. We are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. We play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. The Section for Cognitive Systems at DTU Compute, is an internationally renowned group for machine learning research, with a strong emphasis on applications within the life sciences. Collaboration within the section will be encouraged. The section prioritize an friendly work environment and emphasizes a healthy work/life balance, You can find more information at https://www.compute.dtu.dk/english/research/research-sections/cogsys Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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