Missions

In this context, the overarching objective of the postdoctoral project is to establish a robust connection between macroscopic and local plastic behavior within a model amorphous solid. This goal will be achieved using two distinct numerical approaches: first, through atomistic simulations focused on amorphous samples; and second, through a mesoscale elasto-plastic model grounded in the principles of solid mechanics.

Activités

Perform ab initio calculations to obtain Machine Learning Force Fields (MLFF)

Perform Molecular Dynamics (MD) simulations using MLFF

Systematic study of oxygen concentration, focusing on the evolution of mechanical response by monitoring the stress–strain behavior under compressive loading at the MD level
Coarse-grain MD results to derive a tensorial mesoscopic model for amorphous materials

Compétences

• Ph.D. degree in physics, computational sciences, materials science, applied mathematics, and related disciplines.
• Proficient knowledge of English. High mobility between FR and AT.

Contexte de travail

Multidisciplinary project encompassing physics, materials science, mechanics, and nanotechnology.

Multicultural and dynamic laboratory environment, with well-established collaboration between French (LSPM) and Austrian (ESI) partners.
High mobility, including frequent travel to ESI (Austria), and a competitive salary.
National and international collaboration within a network of institutions across France and Europe.

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.

Contraintes et risques

no risks