2022-04763 - Post-Doctoral Research Visit F/M on Model-Based Reinforcement Learning

Contract type : Fixed-term contract

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit

About the research centre or Inria department

The Inria Lille - Nord Europe Research Centre was founded in 2008 and employs a staff of 320, including 280 scientists working in fourteen research teams. Recognised for its outstanding contribution to the socio-economic development of the Hauts-De-France région, the Inria Lille - Nord Europe Research Centre undertakes research in the field of computer science in collaboration with a range of academic, institutional and industrial partners.

 The strategy of the Centre is to develop an internationally renowned centre of excellence with a significant impact on the City of Lille and its surrounding area. It works to achieve this by pursuing a range of ambitious research projects in such fields of computer science as the intelligence of data and adaptive software systems. Building on the synergies between research and industry, Inria is a major contributor to skills and technology transfer in the field of computer science.


This job offer is part of a collaboration between Scool and Saint-Gobain. Scool has activities ranging from pure research to collaborations with and transfer to companies or other users of RL. Saint-Gobain is a major worldwide company, well-known in particular for its historical activities in glass production.

Scool is a research group currently made of about 30 people, among which 20 Ph.D. students, 2 post-docs, and 2 engineers. This job offer is one among a dozen other post-doc, engineer, and Ph.D. student positions open in 2021 in Scool.

Saint‑Gobain, world leader in sustainable habitat, designs, manufactures and markets innovative solutions in the construction products and high-performance materials sector. Saint-Gobain Research Paris is one of the 8 major Saint-Gobain Research Centers. Based near Paris, its main areas of research are related to glass, surface layers and coatings, construction materials and housing in general. http://www.sgr-paris.saint-gobain.com/

The recruitee will mainly work with Ph. Preux, Debabrota Basu and Riad Akrour of Scool. Support for traveling e.g. to attend conferences or other scientific meetings is provided. Visits to Saint-Gobain nearby Paris will happen on a regular basis to keep the collaboration tight.


The goal of this post-doc is to contribute to the state of the art of the research in model-based reinforcement learning. The work will be essentially at the fundamental level: design of new algorithms, analysis of the behavior of algorithms, implementation and experimental study and assesment, ...

The problem to be studied is motivated by the design and development of advanced and robust controllers for Saint-Gobain glass production lines. The definition of the system's state is the first step to achieve, before considering the design of algorithms to control it, and their implemention in order to perform well within a challenging industrial environment.

Main activities

The recruitee will perform standard research activities, involving reading scientific publications, proposing new ideas related to the project, argueing, developing them, presenting them informally to partners, and also through seminars and research group meetings, writing scientific publications and submit them to top conference and journals of the field.


Solid background in reinforcement learning, or control (e.g. model predictive control), or optimization and statistics.

Technical skills and level required: proficiency in python, pytorch, machine learning packages. Skills in C/C++ will also be appreciated.

Everything will be implemented in Linux/Ubuntu.

Abiity to work, interact, and collaborate with other researchers (in English)


Benefits package

  • 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


Gross monthly salary (before taxes) : 2 653 €