In this page, you find our job offers to join Scool:
- Inria permanent researcher positions (junior researcher (CR, ISFP), senior researcher (DR))
- CNRS research positions
- Post-doc positions
- Ph.D. positions
- Engineer positions
- Internships
Inria Researcher Positions (CR/ISFP/DR)
Inria research positions are no longer available in 2024.
To apply on these positions, it is crucial to get in touch with Philippe Preux as early as possible (even before the campaign is opened).
CNRS Researcher Positions (CR/DR)
CNRS research positions are no longer available in 2024.
To apply on these positions, it is crucial to get in touch with Philippe Preux as early as possible (even before the campaign is opened).
Postdoc Positions
- Philippe Preux and colleagues hire a post-doc as part of the ANR BIP-UP project (precision medicine): please check out this link.
- Debabrota Basu is looking for a post-doc interested in the theory of Reinforcement Learning and Bandits under structures and constraints as part of the ANR REPUBLIC project. Contact as soon as possible for further details.
PhD Positions
- we are looking for a Ph.D. student to work on our BIP-UP project. click here to apply.
In fall 2024 we will be hiring 2 PhD students on the PEPR FOUNDRY on robust AI. Tentative topics (to be discussed with the students) are:
We may be looking for other PhD students in 2024, more details to come soon.
Internships
Spring-Summer 2025 internships:
- Contextual bandits to help patient follow-up, supervised by É. Kaufmann, T. Mathieu, Ph. Preux, O-A. Maillard, as part of the ANR BIP-UP. A Ph.D. may follow the intership.
- Dynamic prediction model with small data, supervised by T. Mathieu, Ph. Preux, as part of the ANR BIP-UP. A Ph.D. may follow the intership.
- Reinforcement learning for the smart multiaxial testing of materials, supervised by Jean-Baptiste Collat (LaMcube – Laboratoire de Mécanique, Multiphysique, Multichelle), Ph. Preux. This internship is part of a collaboration between Scool and LaMcube (Université de Lille).
- Internship on planning and RL from human feedback supervised by R. Akrour as part of the ANR project NeuRL.
