Summary
The Materials Modeling Group at ETH Zurich invites applications for a PhD position focusing on artificial intelligence, atomistic simulation, and materials science. This position offers a unique opportunity to contribute to the development of machine-learning methods aimed at advancing the discovery and design of structural alloys for extreme environments.
Designation
PhD Candidate in AI for Materials Modeling
| Details | Information |
|---|---|
| Research Area | Artificial Intelligence, Atomistic Simulation, Materials Science |
| Location | ETH Zurich, Switzerland |
| Eligibility/Qualification | – Master’s degree (or expected completion) in materials science, physics, engineering, computer science, applied mathematics, or related field – Proficiency in programming and scientific computing – Strong interest in applying AI in physical sciences – Prior experience in machine learning, density functional theory, or molecular dynamics is advantageous – Effective communication skills in English |
| Job Description | Develop machine-learning methods for atomistic materials modeling, focusing on: – Machine-learned interatomic potentials – Physics-informed machine learning – Generative models – Collaborate to shape the research culture and direction of the group |
| How to Apply | Submit the following documents in PDF format via the online application portal: – Curriculum vitae – Contact information for at least two referees – Academic transcripts in English (unofficial copies accepted) – A one-page statement detailing three achievements, their significance, and their relevance to the position |
| Last Date to Apply | July 15, 2026 (applications will be reviewed on a rolling basis until the position is filled) |
This position is fully funded with a competitive salary and offers access to state-of-the-art computational infrastructure within an interdisciplinary and international research environment. Join us to help shape the future of materials science!
