General information
Offer title : Thesis in machine learning methods for turbulence (M/F). (H/F)
Reference : UMR7646-CHRJOS-004
Number of position : 1
Workplace : PALAISEAU
Date of publication : 10 November 2025
Type of Contract : FTC PhD student / Offer for thesis
Contract Period : 36 months
Start date of the thesis : 1 March 2026
Proportion of work : Full Time
Remuneration : 2200 € gross monthly
Section(s) CN : 10 - Fluid and reactive environments: transport, transfer, transformation processes
Description of the thesis topic
The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics Informed Neurol Networks (PINNs). The aim is to obtain an original method allowing in particular to take into account and reproduce extreme events.
Work Context
The thesis will be located in the laboratory of hydrodynamics of CNRS and Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng.
Constraints and risks
None.