Post-Doctoral Research Visit F/ M Postdoctoral position on Theory of Reinforcement Learning and Bandits under structures and constraints
Contexte et atouts du poste
In his/her journey of postdoc, the candidate will be supported by . Debabrota is affiliated with the
The candidate is expected to work on understanding impact of different types of constraints and structures on the performance and design of bandit and RL algorithms.
The project is expected to simulate the existing and new collaborations with researchers and groups working on responsible AI, bandits, and reinforcement learning. The candidate will also be part of the
Mission confiée
To be specific, the postdoc will first investigate the fundamental question of reinforcement learning and bandits under non-linear and dynamic constraints and then work in tandem with the PhD working on the related topic to develop constrained RL formulations for robustness, privacy, and unbiasedness sequential decision making and adaptive testing. For further details, please contact Debabrota by email.
Principales activités
All research activities, that is bibliographical search, proposing original ideas related to the topic of the Ph.D. and developing them, presenting the work in the Scool seminar, workshops and conferences. Writing papers in order to get them accepted in the best conferences and journals of our field of research (e.g. ICML, NeurIPS, COLT, IJCAI, AAAI, JMLR). Since the work involves and impacts the responsible AI in general, the successful candidate should collaborate in writing scientific articles aiming towards the larger audience.
Compétences
The candidate should preferably have the following skills:
Please follow the instructions given in to set up your application file.
In brief, the application of the candidate should include his/her CV, an application letter, (two or more) recommendation letters, and the school transcripts. It is reccommended that the candidate contacts Debabrota while preparing the application.
Avantages
Rémunération
Gross monthly salary : 2788 €
