PhD Position in AI for Materials Modeling at ETH Zurich ETH Zurich in Switzerland

ETH Zurich is advertising a fully funded PhD position in AI for Materials Modeling in the Materials Modeling Group led by Prof. Malik Wagih in the Department of Materials.

The project sits at the intersection of artificial intelligence, atomistic simulation, and materials science. Research directions may include machine-learned interatomic potentials, physics-informed machine learning, and generative models. The group’s broader research aims to accelerate the discovery and design of structural alloys through defect engineering, with applications in fusion energy and space materials.

Applicants should have, or be close to completing, a Master’s degree in materials science, physics, engineering, computer science, applied mathematics, or a related field. Strong programming and scientific computing skills are expected, along with a clear interest in applying AI to physical science problems. Experience with machine learning, density functional theory, or molecular dynamics is considered an advantage. English communication skills are required.

The position is fully funded and offers a competitive salary according to ETH standards, plus access to state-of-the-art computational infrastructure and an interdisciplinary, international research environment.

Deadline: July 15, 2026. Applications are reviewed on a rolling basis until the position is filled.

How to apply: Submit your application via the ETH Zurich online portal only. Required documents include a CV, contact details for at least two referees, English transcripts from all degrees (unofficial copies accepted), and a one-page statement describing your three proudest achievements and why they fit the role.