PhD: AI-Driven Multiscale Modeling of Dry-Process Electrodes

CNRS - National Center for Scientific Research; France; On-site; EUR 19,000 - 23,000; Full time

Job summary

CNRS – Laboratoire de réactivité et de chimie des solides in France seeks a First Stage Researcher (R1) to develop a multiscale modeling framework for the dry-process electrode fabrication. You will perform numerical simulations with DEM and FEM and implement models using LIGGGHTS, LAMMPS, and COMSOL, while collaborating with partners to optimize processes through data-driven methods.

This 35-hour weekly position starts on 1 Dec 2026 and is temporary, focusing on advancing material science for

Qualifications

• Experience in numerical simulation and modeling of granular systems.
• Familiarity with DEM/FEM-based approaches and relevant software tools.
• Ability to analyze experimental data and optimize processes.

Responsibilities

• Develop a multiscale modeling framework for dry-process electrode fabrication.
• Implement models using LIGGGHTS, LAMMPS, and COMSOL Multiphysics.
• Collaborate with partners to collect, organize, and analyze data.
• Perform data-driven optimization to improve process efficiency.

Skills

Numerical simulation

Multiphysics modeling

Data analysis

Python/ MATLAB

Education

Master's degree in a related field

Tools

LIGGGHTS

LAMMPS

COMSOL Multiphysics

Finite Element Method (FEM)

Discrete Element Method (DEM)

Job description

CNRS – Laboratoire de réactivité et de chimie des solides in France seeks a First Stage Researcher (R1) to develop a multiscale modeling framework for the dry-process electrode fabrication. You will perform numerical simulations with DEM and FEM and implement models using LIGGGHTS, LAMMPS, and COMSOL, while collaborating with partners to optimize processes through data-driven methods.

This 35-hour weekly position starts on 1 Dec 2026 and is temporary, focusing on advancing material science for