Post-Doctoral Research Visit F/M Postdoctoral position on Theory of Reinforcement Learning and Bandits under structures and constraints

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Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

Niveau d'expérience souhaité : Jusqu'à 3 ans

A propos du centre ou de la direction fonctionnelle

The  Inria University of Lille centre, created in 2008, employs 360 people  including 305 scientists in 15 research teams. Recognised for its strong  involvement in the socio-economic development of the Hauts-De-France  region, the Inria University of Lille centre pursues a close  relationship with large companies and SMEs. By promoting synergies  between researchers and industrialists, Inria participates in the  transfer of skills and expertise in digital technologies and provides  access to the best European and international research for the benefit  of innovation and companies, particularly in the region.For more  than 10 years, the Inria University of Lille centre has been located at  the heart of Lille's university and scientific ecosystem, as well as at  the heart of Frenchtech, with a technology showroom based on Avenue de  Bretagne in Lille, on the EuraTechnologies site of economic excellence  dedicated to information and communication technologies (ICT)

Contexte et atouts du poste

In his/her journey of postdoc, the candidate will be supported by ANR JCJC project REPUBLIC, and supervised by Debabrota Basu. Debabrota is affiliated with the Scool project-team (previously SequeL) of Inria Centre at University of Lille. As a team, Scool is internationally recognised for developing theories and algorithms for sequential learning and decision making, i.e. in the fields of bandits and reinforcement learning.

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 HumAIn alliance that aims toward studying humane impact of deploying AI.

From the application point of view, Scool is involved in multiple projects that incorporates medical data, agricultural data, and e-commerce. Depending on the future development, we will be interested to deploy such responsible AI systems and algorithms for securing such applications.

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:

  • A strong background in mathematics/statistics
  • A good knowledge of machine learning, reinforcement learning, statistics, and algorithms
  • Broad interest for responsible and trustworthy AI
  • Knowledge of programming languages such as Python. C/C++
  • Some experience with implementation and experimentation (a plus)
  • A good command of English

Please follow the instructions given in https://team.inria.fr/magnet/how-to-apply/ 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

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Rémunération

Gross monthly salary : 2788 €