PhD Position in AI for Materials Modeling — ETH Zürich
CHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 7 days ago
SalaryCHF 73'500 - 111'500
Role overview
PhD Position in AI for Materials Modeling 100%, Zurich, fixed-term print Drucken The Materials Modeling Group , established in February 2026 and led by Prof.
- PhD Position in AI for Materials Modeling 100%, Zurich, fixed-term print Drucken The Materials Modeling Group , established in February 2026 and led by Prof.
Application process
- Malik Wagih in the Department of Materials at ETH Zurich, invites applications for a PhD position at the intersection of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement.
- Our group develops computational methods to accelerate the discovery and design of structural alloys through defect engineering, with a particular focus on materials for extreme environments, including fusion energy and space applications.
- Our research combines theory, physics-based simulation, and machine learning. Job description
- The PhD project will develop machine-learning methods for atomistic materials modeling
- Possible research directions include machine-learned interatomic potentials, physics-informed machine learning, and generative models.
- The specific research question will be shaped jointly with the successful candidate The successful candidate will join as one of the group’s first doctoral students and will have the opportunity to help shape its research culture and scientific direction. Profile
- A Master's degree, or expected completion before the position begins, in materials science, physics, engineering, computer science, applied mathematics, or a related field
- Proficiency in programming and scientific computing
Contacts
- Applications via email or postal services will not be considered. information for at least two referees
- Academic transcripts in English from all degrees (unofficial copies accepted)
- A one-page statement describing the three achievements you are most proud of, why they matter, and what they demonstrate about your suitability for this position.
- Malik Wagih at [email protected] (no applications).
Additional details
- Our research combines theory, physics-based simulation, and machine learning.
- The specific research question will be shaped jointly with the successful candidate The successful candidate will join as one of the group’s first doctoral students and will have the opportunity to help shape its research culture and scientific direction.
- We look forward to receiving your online application with the following documents (in PDF format) by July 15th 2026:
- Contact information for at least two referees
Notes and original content
- Job description
- Curriculum vitae
- Applications via email or postal services will not be considered.
