Postdoc in Machine Learning for Neuroscience, Edinburgh
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@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.
Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain@icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by Saturday March 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by Wednesday July 10, 2024. Camera Ready Submission (Symposium): by Monday July 20, 2024. Author Registration (Symposium): by July 20, 2024. Regular Registration (Symposium): by Saturday March 23, 2024. Late Registration (Symposium): from Sunday March 24, 2024. Course Deadlines Regular Registration (Course): by Saturday March 23, 2024. https://acain2024.icas.events/registration/ Late Registration (Course): from Sunday March 24, 2024. Oral Presentation Submission (Course): by Saturday March 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events@rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain@icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict --
Context The CAVAA European project (https://cavaa.eu/) proposes to realize a theory of awareness instantiated as an integrated computational architecture and its components to explain awareness in biological systems and engineer it in technological ones. In a world governed by hidden states, awareness enables to deal with the “invisible”, from unexplored environments (counterfactual pasts and futures) to social interaction that depends on the internal states of agents and moral norms. In particular, we will study such cognitive architecture agents’ ability and propensity of reasoning, decision-making, or revisiting past experiences, but also reflecting upon what was right or wrong given some moral norms, and which possible future states could be right or wrong. CAVAA’s awareness engineering is accompanied by an ethics framework towards human users and aware artefacts in the broader spectrum of trustworthy AI, considering shared goals, counterfactuals and projections towards new future scenarios, and prediction of the impact of choices. CAVAA aims to deliver a better user experience because of its explainability, adaptability, and legibility. Location and environment The post-doc position will be located in the Institute of Intelligent Systems and Robotics (ISIR, http://www.isir.upmc.fr), Paris, France. ISIR belongs to Sorbonne Université, CNRS and INSERM, and is located in the center of Paris, thus at walking distance from the Seine river, from other academic institutions (La Sorbonne, Collège de France, Muséum d'Histoire Naturelle, Ecole Normale Supérieure, Université Paris Cité, Hôpital la Pitié Salpétrière), and from famous monuments (Notre Dame, Conciergerie, Panthéon, Théâtre du Châtelet, Institut du Monde Arabe). Speaking or understanding French is not required. This work will be done in close collaborations with philosophers, engineers and computational neuroscientists of the CAVAA consortium. Profile We are looking for highly motivated candidates with a strong academic record. An excellent background is expected at the interface between computational neuroscience and machine learning. Significant experience in cognitive architectures and computational modeling for neuroscience, psychology, AI or cognitive robotics will be appreciated. Mastery of reinforcement learning and game theory, and advanced programming skills in modern C++ and python are required. A strong interest in philosophy of mind and moral philosophy is expected. Mission The post-doc work will focus on ethical reasoning through virtualization, deliberation and alignment with human values. The theoretical framework will be anchored on probabilistic model-based reinforcement learning, extended to include homeostatic, epistemic and social values, including social conventions and moral norms as starting point. Research will investigate learning through interaction with the environment and with other agents, social decision-making, mental simulation and counterfactual reasoning to inform humans about potential long-term consequences of actions. The model will be confronted to experimental data about human decision-making when confronted to various social and moral dilemmas. The model will be integrated into the CAVAA cognitive architecture and applied in artificial agents and robots in virtual and real-world scenarios involving spatial navigation and social interaction. To apply Applicants should send a CV, letter of motivation (max 2 pages), and a list of two references via e-mail to mehdi.khamassi@sorbonne-universite.fr and raja.chatila@sorbonne-universite.fr. Please put [CAVAA post-doc application] in the subject of the mail. Review of applications will begin immediately, and will continue until the position is filled. -- Mehdi Khamassi, PhD, HDR Research director (DR2), Centre National de la Recherche Scientifique Institute of Intelligent Systems and Robotics, Sorbonne Université ISIR - BC 173, 4 place Jussieu, 75005 Paris, France phone: +33 6 50 76 44 92 email: mehdi.khamassi@sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/ Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://www.iccs.gr/en/?noredirect=en_US
participants (3)
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Giuseppe Nicosia -
Matthias Hennig -
Mehdi Khamassi