PhD positions in the context of “AI-enhanced stochastic simulations of thermoplastic recyclable composites”

Context

As part of a collaborative project between

1. MSC Software Belgium SA,
2. SIRRIS
3. University of Liège,

the main objective of the positions will be to develop numerical methodologies in the context of

1. Multi-scale methods
2. Stochastic approaches
3. Machine learning approaches

to predict the response of recycled thermoplastic composites.

Opportunity

The project will be supervised by Prof. L. Noels of ULiège (http://www.ltas-cm3.ulg.ac.be/), in close collaboration with the partners of the project. The position is that of a renewable (up to  4 years) 12-month research engineer starting in 2026.

Computational & Multiscale Mechanics of Materials (http://www.ltas-cm3.ulg.ac.be/), Univerity of Liege, Belgium

The candidate should have a Master degree in (computational) mechanics, Material Engineering, or aerospace engineering with a solid knowledge in continuous mechanics and numerical methods. Good programming skill is an asset.