Summary
ETH Zurich invites applications for a fully funded PhD position focused on the intersection of artificial intelligence, atomistic simulation, and materials science. This role is part of the newly established Materials Modeling Group and offers an exciting opportunity to contribute to cutting-edge research aimed at accelerating the discovery and design of structural alloys.
Scholarship Opportunity in AI for Materials Modeling, ETH Zurich, Switzerland
Designation
PhD Position in AI for Materials Modeling
| Details | Information |
|---|---|
| Research Area | Artificial Intelligence, Atomistic Simulation, Materials Science |
| Location | ETH Zurich, Zurich, Switzerland |
| Eligibility/Qualification | – Master’s degree in materials science, physics, engineering, computer science, applied mathematics, or related field – Proficiency in programming and scientific computing – Strong interest in AI methods for physical sciences – Prior experience in machine learning, density functional theory, or molecular dynamics preferred – Effective communication skills in English |
| Job Description | – Develop machine-learning methods for atomistic materials modeling – Focus on machine-learned interatomic potentials, physics-informed machine learning, and generative models – Collaborate with the group to shape research direction and culture |
| How to Apply | Interested candidates should submit the following documents (in PDF format) through the online application portal: – Curriculum vitae – Contact information for at least two referees – Academic transcripts (unofficial copies accepted) – One-page statement on three key achievements and their relevance to the position. |
| Last Date to Apply | July 15, 2026 (applications reviewed on a rolling basis until filled) |
For more information, please contact Prof. Malik Wagih at malik.wagih@mat.ethz.ch (no applications via email).
ETH Zurich is committed to diversity and sustainability, promoting an inclusive culture and working towards a climate-neutral future.
