Postdoc: Ab Initio Quantum Materials & Magnetism (Remote)

ILL - Institut Laue Langevin; Auvergne-Rhône-Alpes; Sur place; EUR 40 000 - 50 000; Plein temps

Avantages offerts par ce poste

Expatriation allowance

Health cover

Moving and relocation assistance

Language courses

Transport subsidy

Canteen subsidy

Annual productivity bonus

Résumé du poste

Institut Laue-Langevin (ILL) in Grenoble, France, offers a postdoctoral opportunity focused on ab-initio electronic structure and spectroscopic calculations in strongly correlated quantum materials. The successful candidate will work with experimentalists on specific compounds and contribute to databases for machine learning, with potential involvement in understanding neutron diffraction data.

A PhD in condensed matter physics or quantum chemistry is required; experience with Linux and

Qualifications

• A PhD in condensed matter physics or quantum chemistry obtained less than 4 years ago.
• A strong background in quantum mechanics, a reasonable knowledge of electronic structure calculations (such as DFT, wave‑function methods, etc.).
• Experience with Linux.
• Some knowledge of group theory or crystallography would be an asset.
• Some knowledge in artificial intelligence would be appreciated.

Responsabilités

• Work on specific compounds in close collaboration with experimentalists.
• Use ab‑initio methods to develop effective models for understanding neutron diffraction data.
• Potentially participate in building databases on magnetic systems for machine learning.

Connaissances

Quantum mechanics

Electronic structure methods

Linux

Group theory

Artificial intelligence

Formation

PhD in condensed matter physics or quantum chemistry

Outils

DFT software

Wave-function methods

Description du poste

Institut Laue-Langevin (ILL) in Grenoble, France, offers a postdoctoral opportunity focused on ab-initio electronic structure and spectroscopic calculations in strongly correlated quantum materials. The successful candidate will work with experimentalists on specific compounds and contribute to databases for machine learning, with potential involvement in understanding neutron diffraction data.

A PhD in condensed matter physics or quantum chemistry is required; experience with Linux and