Postdoc: ML-Driven d-/f-Metal Catalysis

Il y a 2 jours

France, Auvergne-Rhône-Alpes CNRS Temps plein 42 000 € - 54 000 € Contrat

CNRS, Laboratoire de Physique et Chimie des Nano-Objets (LPCNO) at INSA Toulouse, invites applications for a 18-month research position. The project focuses on machine-learning strategies to optimise d-/f-metal catalysts, transforming legacy DFT data into a curated database and training equivariant potentials.

Collaboration with experimental groups is expected. Expected work includes harmonising DFT data, developing surrogate models, and disseminating results through publications and open-source