See attached file for details

Keywords: Hydrogen, Phase field crystal, ferritic steels, Hydrogen induced embrittlement, Machine-learning, Ecological transition.

Expected skills:

1. The candidate will have twofold skills in numerical modelling and condensed matter physics.
2. The candidate will have solid knowledge in one topic at least among the following: condensed
matter physics, (statistical) thermodynamics, cristallography, materials science.
3. The candidate will show solid basis in numerical physics.
4. Programming skills in one of the following languages are required: Fortran, Python. Skills in
C/C++ may be acceptable.

Practical information: the PhD thesis will be carried out at the Groupe de Physique des Matériaux
(GPM, UMR 6634, Université de Rouen-Normandie), under the direction of Helena Zapolsky (Professor) and the supervision of Gilles Demange (Maı̂tre de Conférences), starting 01/09/2023.

Contacts: [email protected], [email protected]