Postdoctoral Researcher in Reinforcement Learning and Bandits

il y a 3 semaines


Villeneuved'Ascq, Hauts-de-France INRIA Temps plein
Job Description

Context and Advantages

We are seeking a highly motivated postdoctoral researcher to join our team at INRIA. The successful candidate will be supported by our team and will have the opportunity to work on a project that aims to understand the impact of different types of constraints and structures on the performance and design of bandit and RL algorithms.

Research Mission

The postdoc will investigate the fundamental question of reinforcement learning and bandits under non-linear and dynamic constraints. The candidate will work in tandem with a PhD student to develop constrained RL formulations for robustness, privacy, and unbiasedness sequential decision making and adaptive testing.

Key Responsibilities

  • Bibliographical search and proposing original ideas related to the topic of the Ph.D.
  • Developing and presenting the work in the INRIA seminar, workshops, and conferences.
  • Writing papers to get them accepted in top conferences and journals in the field of research.
  • Collaborating in writing scientific articles aiming towards a larger audience.

Required Skills

  • Strong background in mathematics/statistics.
  • 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.
  • Good command of English.

Benefits

  • Subsidized meals.
  • Partial reimbursement of public transport costs.
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave.
  • Possibility of teleworking and flexible organization of working hours.
  • Professional equipment available.
  • Social, cultural, and sports events and activities.
  • Access to vocational training.
  • Social security coverage.

Salary

Gross monthly salary: 2788 €.



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