PhD Position in Artificial Intelligence Applied to Materials Chemistry at University of Montpellier University of Montpellier in France

The Institut Charles Gerhardt Montpellier (ICGM Montpellier), affiliated with CNRS and the University of Montpellier, is offering a PhD position focused on artificial intelligence applied to materials chemistry. The research will center on the discovery of new adsorbent metal-organic frameworks (MOFs) using AI-driven strategies, high-throughput computational screening, and the development of machine learning interatomic potentials and predictive models. The successful candidate will collaborate closely with experimentalists involved in high-throughput robotic synthesis, characterization, and sorption studies, and will participate in the PEPR France 2030 project – DIADEM.

Key research areas include materials chemistry, porous materials, artificial intelligence, machine learning, computational modeling, adsorption, materials engineering, energy engineering, and environmental engineering. The laboratory is located at Institut Charles Gerhardt Montpellier, Montpellier, France.

Applicants should have a strong background in materials chemistry, artificial intelligence, machine learning, computational modeling, or related fields. Experience with high-throughput computational screening, ML interatomic potentials, and collaboration with experimentalists is desirable. No specific information on funding or stipend is provided. The expected start date is September 1, 2026.

To apply, contact Guillaume Maurin at [email protected]. For more information, refer to the LinkedIn post or the laboratory's website.