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Abstracts closing Friday, early bird reg, & more - INCF Neuroinformatics Assembly 2024
by Heather Topple June 4, 2024

June 4, 2024

Hello! We at INCF would appreciate it if you could forward the information below to your relevant networks in neuroscience, AI, computer and data science. Thank you! /Heather INCF Project Assistant *Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin!* The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Abstract submission <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are open - make sure to register before Jun 28 to get the early bird price! *Abstract submission is open until Fri Jun 7 via this link <https://neuroinformatics.incf.org/abstract-submission>.* Note: You need to be signed in to submit an abstract, but you don’t need to be an INCF member to create an account. Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* <https://neuroinformatics.incf.org/> International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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World wide VVTNS series: Wednesday, June 5 at 11am (EDT), Stephanie Palmer, University of Chicago | Using ML tools in neuroscience to define optimality in complex natural behaviour
by David Hansel June 2, 2024

June 2, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Stephanie Palmer University of Chicago on the topic of *Using ML tools in neuroscience to define optimality * *in complex natural behaviour* The lecture will be held on zoom on *June 5, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inputs are, however, of equal value to the organism. Our work quantifies whether and how the brain selectively encodes stimulus features, specifically predictive features, that are most useful for fast and effective movements. We have shown that efficient predictive computation starts at the earliest stages of the visual system in the retina. We borrow techniques from machine learning, statistical physics, and information theory to assess how we get terrific, predictive vision from these imperfect (lagged and noisy) component parts. In broader terms, we aim to build a more complete theory of efficient encoding in the brain, and along the way have found some intriguing connections between approaches to coarse graining in biology, machine learning, and physics. *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

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Post-doc position available - Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields (https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational “hybrid” brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients (see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr. https://perso.univ-rennes1.fr/fabrice.wendling

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Postdoctoral research position Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational hybrid brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients ( <https://pubmed.ncbi.nlm.nih.gov/38520800/> see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr. <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://www.ltsi.univ-rennes1.fr/> https://www.ltsi.univ-rennes1.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

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Postdoctoral Research Position - University of Las Palmas de Gran Canaria, Spain
by Carmen Paz Suárez Araujo May 30, 2024

May 30, 2024

Postdoctoral Research Position Institute: Institute of Cybernetic, Enterprise and Society (IUCES). University of Las Palmas de Gran Canaria (ULPGC) City: Las Palmas de Gran Canari, Canary Islands, Spain Closing Date: 7 June 2024 Dear Colleagues, The Research Division of Computational Neuroscience (COMCIENCIA) belonging to the IUCES has a PostDoc position in one of our Projects. We are recruiting a team of outstanding researchers from Artificial Neural Networks, Computational Neuroscience, Clinical Decision Support Systems using Intelligent Computing and AI/ML, to work with us on achieving the project’s ambitious objectives. The main tasks will be concerning: - Development and supervision of research in the area of "Artificial and Biological Neural Networks: Design of New Architectures". - Supervision and development of research in the field of Intelligent Computing Systems and their application for Designing and Developing Clinical Decision Support Systems for diagnosis and prognosis of neurocognitive pathologies associated with aging (dementias), infectious diseases (COVID) necessarily adjusted to the project in which he/she is hired. - Scientific dissemination of the research developed. For further information and to apply, please see: https://euraxess.ec.europa.eu/jobs/240289 If you've any question, please you don't hesitate to contact with Prof. Carmen Paz Suárez Araujo Best Regards Carmen Paz Suárez Araujo Catedrática de Universidad/Full Professor. Directora de la División de Investigación de Neurociencia Computacional. Directora de la Catedra de Neurociencia Computacional, Marie Curie Instituto de Cibernética, Empresa y Sociedad (IUCES) Universidad de Las Palmas de Gran Canaria tel. +34928458725; +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

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Postdoc + PhD positions in ERC funded project ACTOR
by Constantin Rothkopf May 30, 2024

May 30, 2024

The lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt is looking for PhD and Postdoc applicants interested in becoming part of the ERC project ACTOR. While some positions are focused on human behavioral experiments others are more focused on computational work. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks including continuous psychophysics, visual behaviors such as gaze selection and blinking, sensorimotor control involving intuitive physics, navigation, and food preparation in the framework of sequential decision making/planning/optimal control/RL. Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in multiple fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. We foster an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect and we maintain close interactions with other research groups including joint lab meetings. While some of the positions are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page cover letter explaining your research interests, motivation, and your long-term career goals, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “167” and for the Postdoc position “168”. Applications will be reviewed on a continuing basis. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt recently reached 7th place worldwide in a ranking of attractiveness by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. Finally, to get a better idea about some of our work, here some publications by our group: - Tatai, F., Straub, D., Rothkopf, C. A. (2023). People use Newtonian physics in intuitive sensorimotor decisions under risk. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt0rg3z8f6/qt0rg3z8f6_noSplash_c1cad85c077… - Kadner, F., Willkomm, H., Ibs, I., & Rothkopf, C. (2023). Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt94t1t8kw/qt94t1t8kw_noSplash_3a5e798a923… - Kessler, F., Frankenstein, J., Rothkopf, C. A. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/

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Postdoctoral Research Fellow - University of Stirling, UK
by Elena Gheorghiu May 30, 2024

May 30, 2024

Postdoctoral Research Fellow Department: Psychology, University of Stirling, Scotland, United Kingdom Closing Date: 10 June 2024 Duration: fixed term 27 months Salary: Grade 7 (£37,099 - £44,263 p.a.) A cross-disciplinary team of researchers from the Universities of Stirling, York, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks. The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy. We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives. As part of this project, Psychology, Faculty of Natural Sciences, University of Stirling is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers. Candidates should have a PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area and possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes. For further information and to apply, please see: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=4051&jobT… Informal enquiries can be made to Dr Elena Gheorghiu, elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> --------------------------------------------------------- Dr Elena Gheorghiu University of Stirling, Faculty of Natural Sciences Department of Psychology, Cottrell building Stirling, FK9 4LA, Scotland, UK Tel: +44 (0) 1786 467649 email: elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> https://www.stir.ac.uk/people/257378 ________________________________ Scotland’s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

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Postdoctoral position on modelling C. elegans for OpenWorm project at University College London
by Padraig Gleeson May 30, 2024

May 30, 2024

- Apologies for cross postings - Applications are open now for a 3 year postdoctoral position (Research Fellow / Senior Research Fellow) at University College London in the lab of Padraig Gleeson (https://openneuroai.org) The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation (https://openworm.org) The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required. The ideal candidate will have a PhD in neuroscience or a related field, and experience in developing open source tools for investigating (neuro)biological function, a publication record demonstrating the use of such tools in original scientific research, and an active interest in making their research accessible to the wider community. For appointment to Grade 8 (Senior Research Fellow), the candidate will have substantial postdoctoral experience, a strong publication track record in this area, evidence of the ability to sustain independent research, and an established reputation in their field as a proponent of open science. UCL is Europe's research powerhouse in neuroscience, with more than twice as many publications and citations as any other European institution, based right in the heart of London. It is one of the best international environments to carry out neuroscience research. Please contact p.gleeson(a)ucl.ac.uk for more details or questions related to the role. The position is funded for 3 years as part of an EPSRC Open Fellowship grant. The closing date for applications is 19th June 2024. Apply here <https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=23333>, including a cover letter stating why you are the ideal candidate for the role. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Information theory workshop at CNS*2024 -- call for contributed talks
by Joseph Lizier May 29, 2024

May 29, 2024

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2024itw> will be held once again at the 33rd Annual Computational Neuroscience Meeting (CNS*2024<https://www.cnsorg.org/cns-2024> conference), in Natal, Brazil. The workshop will be held during sessions over the final day of the main conference, July 24, 2024. Our confirmed speakers so far include the following: * Patricio Orio, University of Valparaíso, Chile * Marilyn Gatica, Northeastern University London, UK * ... more TBA! We would like to call for contributions<https://bit.ly/cns2024itw> of talks. If you are interested in contributing a talk, please send a title and abstract to Marilyn Gatica (marilyn.gatica(a)nulondon.ac.uk<mailto:marilyn.gatica@nulondon.ac.uk>) and Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2024 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2024itw for more details. We hope you will join us there! Organising Committee: Marilyn Gatica (chair) Joseph Lizier (co-chair) Abdullah Makkeh Michael Wibral Pedro Mediano

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Open PhD position - Brain-inspired computing and Spiking Neural Networks
by Robert Legenstein May 28, 2024

May 28, 2024

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/igi/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/c979f4bb-8292-a539-ff62-6627a4de2995 -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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