Thesis: Advanced Modeling and Optimization Using Artificial Intelligence for Dry-Process Electrode Manufacturing (M/F)
New
- FTC PhD student / Offer for thesis
- 36 months
- BAC+5
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Laboratoire de réactivité et de chimie des solides
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
80039 AMIENS
Contract Duration
36 months
Date of Hire
01/12/2026
Remuneration
2300 € gross monthly
Apply Application Deadline : 18 November 2026 23:59
Job Description
Thesis Subject
As part of the development of new battery technologies, the PhD student will be tasked with designing a multiscale modeling framework dedicated to the dry-process fabrication of electrodes. This work aims to simulate, understand, and optimize the physical and mechanical interactions of materials during production by combining state-of-the-art numerical simulation methods with artificial intelligence tools.
Your Work Environment
The research will focus on numerical simulation and multiphysics modeling, including the development and implementation of models based on the discrete element method (DEM). These models will enable the analysis of granular dynamics, powder mixing, and particle interactions at the mesoscopic scale. In addition, models based on the finite element method (FEM) will be developed to simulate the mechanical behavior, compaction, and final structure of the electrodes at the macroscopic scale. This modeling of the various process steps will rely on expert use of the LIGGGHTS, LAMMPS, and COMSOL Multiphysics software packages.
Process optimization will be carried out in close collaboration with the research consortium. The project will involve the collection, organization, and analysis of experimental data provided by the various partners. A data-driven optimization loop will be developed to correlate numerical modeling parameters with experimental results. The ultimate goal will be to identify optimal parameter sets—such as formulation, pressure, or velocity—in order to significantly improve the efficiency of the dry process and guide the consortium's future experimental campaigns.
Compensation and benefits
Compensation
2300 € gross monthly
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR7314-ANNCHA-051 |
|---|---|
| CN Section(s) / Research Area | Mathematics and mathematical interactions |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
Create your alert
Don't miss any opportunity to find the job that's right for you. Register for free and receive new vacancies directly in your mailbox.