Postdoc: ML-Driven d-/f-Metal Catalysis & Open Data

CNRS

France

Sur place

EUR 42 000 - 54 000

Plein temps

Il y a 3 jours
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Résumé du poste

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

Description du poste

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

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