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# Job offer

- **Company:** CNRS
- **Location:** Villeurbanne, France
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Simulation, Computer Programming, Image Analysis, Experimental Data, Python (Programming Language), MATLAB, Machine Learning, Scientific Computating, Claude
- **Published:** October 22, 2026
- **Apply:** https://emploi.cnrs.fr/Offres/Doctorant/UMR5208-MICROM-001/Default.aspx

## About the Role

Master's degree in mathematics or applied mathematics, with a strong background in analysis, partial differential equations, and numerical methods

 - Good skills in scientific computing and programming, particularly in Python, Julia, or Matlab
 - Strong interest in mathematical modeling and interdisciplinary research, particularly at the interface with biology
 - Previous experience in mathematical modeling, as well as knowledge of continuum mechanics or machine learning, would be appreciated

## Description

The PhD project will focus on the development and analysis of multi-tissue mathematical models of embryogenesis, based in particular on systems of partial differential equations arising from fluid mechanics.

The main objectives will be:

 - Develop and analyze mathematical models describing the dynamics and interactions between multiple tissues during embryonic development
 - Investigate analytical questions associated with these models, including their qualitative behavior and the influence of model parameters
 - Implement numerical methods adapted to the systems under consideration
 - Develop methods to connect the models with experimental data and estimate relevant model parameters
 - Compare theoretical and numerical results with imaging data, using image-processing and machine-learning tools when appropriate, The PhD is part of the interdisciplinary PREMMOVE project (2025-2031), funded by the PEPR Maths-Vives program.
It will be co-supervised by Michèle Romanos (CR CNRS) and Simon Masnou (Professor, Université Claude Bernard Lyon 1).

Keywords: morphogenesis, mathematical modeling, partial differential equations (PDEs), PDE analysis, numerical simulation, artificial intelligence, image analysis.