Research Software Engineer — ML-Driven Mechanics

École nationale des ponts et chaussées; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A prestigious engineering school in France is looking for a Research Software Engineer to develop open-source tools in computational mechanics and machine learning. The successful candidate will work closely with PhD students and postdoctoral researchers to maintain high-quality software for research purposes. A PhD in a relevant field and strong programming skills are essential. This is a funded position for at least 4 years, with an excellent opportunity in a collaborative research environment.

Qualifications

• Strong experience in programming and scientific computing with Python, Julia, or C++.
• Experience in developing scientific/engineering software with knowledge of opensource practices.
• Solid understanding of numerical methods, computational modelling, machine learning, or continuum mechanics.

Responsabilités

• Develop, extend, and maintain the project’s constitutive modelling library based on JAX.
• Support integration of material models within the FEniCSx finite-element library.
• Ensure software quality through continuous integration, testing, documentation, and version control.

Connaissances

Programming and scientific computing (Python, Julia, C++)

Developing scientific/engineering software

Numerical methods, computational modelling, machine learning or continuum mechanics

Collaboration in a research team

Familiarity with HPC FE software like FEniCSx

Formation

PhD in computational mechanics, applied mathematics or computer science

Outils

FEniCSx

JAX

Pytorch

Description du poste

A prestigious engineering school in France is looking for a Research Software Engineer to develop open-source tools in computational mechanics and machine learning. The successful candidate will work closely with PhD students and postdoctoral researchers to maintain high-quality software for research purposes. A PhD in a relevant field and strong programming skills are essential. This is a funded position for at least 4 years, with an excellent opportunity in a collaborative research environment.