Missions

This project aims to use machine learning to speed up the computational bottlenecks in the simulation of phonon dynamics in Van der Waals heterostructures. The aim is to simulate not only the dispersion, but also the lifetime and, in general, the spectral function of phonons as a function of temperature, giving access to spectroscopic properties and thermal conductivity.

Activités

The activities associated with this postdoctorate are both theoretical and numerical. Models will have to be understood, modified or developed. Simulation techniques will have to be implemented.

Compétences

Simulations will combine density functional theory (DFT), molecular dynamics (MD) and machine learning (ML). Mastery of these simulation techniques, both theoretically and practically, is required. Experience in the development of these techniques is an asset. In-depth knowledge of fundamental condensed matter concepts is essential.

Contexte de travail

The post-doctorate will take place at the Charles Coulomb Laboratory of the University of Montpellier (France), in the Statistical Physics team of the theoretical axis, under the supervision of T. Sohier.

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.