[agents] [Jobs] Postdoc in Multi-Agent Learning and Foundation Models-King's College London-5 days left to apply
Yali Du
yali.du at kcl.ac.uk
Thu Mar 7 17:00:59 EST 2024
Our Group, the Cooperative AI Lab<https://coopai.kcl.ac.uk/> at King’s College London is seeking a Postdoc Research Associate in Multi-Agent Learning and Foundation Models.
Deadline for application is March 12, 2024!
Details is found here https://www.kcl.ac.uk/jobs/084006-postdoc-research-associate-in-multi-agent-reinforcement-learning-and-foundation-models
Please contact Dr Yali Du yali.du at kcl.ac.uk<mailto:yali.du at kcl.ac.uk> if you are interested.
Job description
The department of Informatics is looking to appoint a motivated candidate to fill a postdoctoral research associate position in Multi-agent Reinforcement Learning and Foundation Models. This position will be hosted and located in the Cooperative AI Lab (https://coopai.kcl.ac.uk/) headed by Dr. Yali Du in the Department of Informatics, King’s College London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (King’s College London) and Dr. Biwei Huang (University of California San Diego).
The candidate will be a conscientious, innovative scientist who has completed a Ph.D. (or equivalent) in computer science, engineering (including electrical/electronic engineering), or a similar field. Candidates with strong backgrounds in reinforcement learning, multi-agent learning, language model agents and causal learning are encouraged to apply. Inter-disciplinary research experience and project management experience are preferred. You will join a team, with an opportunity to collaborate with researchers at Google DeepMind, University of Cambridge and the Turing Institute.
At King’s, we are part of the Distributed Artificial Intelligence group at the Department of Informatics, a vibrant, open and collaborative research and learning environment. This post will be offered on an initial one-year contract. The post is due to start in Spring 2024 or as early as possible thereafter.
Best regards,
Yali Du
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