PhD Position in Computational Materials: ETH Zurich is inviting applications for a PhD position in the Materials Modeling Group, focusing on innovative computational methods for materials discovery in extreme environments. This position aims to explore defect engineering applicable to cutting-edge sectors such as fusion reactors, hydrogen systems, and space technologies.
PhD Position in Computational Materials Discovery for Extreme Environments
Designation
PhD Position in Computational Materials Discovery
| Field | Details |
|---|---|
| Research Area | Computational Materials Science |
| Location | ETH Zurich, Zurich, Switzerland |
| Eligibility/Qualification | Master’s degree (or 4-year bachelor’s) in Materials Science, Mechanical Engineering, Physics, or related field; proficiency in programming; experience in density functional theory, molecular dynamics, or machine learning is advantageous. |
| Description | Develop and apply physics-based and data-driven methods to address challenges in materials design, collaborating with experimentalists. Projects span various aspects such as defect thermodynamics and machine learning. |
| How to Apply | Submit your application online through the ETH Zurich application portal, including a cover letter, CV, contact information for referees, and academic transcripts (unofficial copies accepted). |
| Last Date to Apply | Applications are reviewed starting March 2026 until positions are filled. Early applications encouraged. |
Research Area
The focus is on defect engineering for materials used in extreme environments, with projects covering:
- Defect thermodynamics and kinetics
- Coarse-graining techniques
- Machine learning applications from diverse datasets
- Autonomous discovery workflows
Location
ETH Zurich, Zurich, Switzerland
Eligibility/Qualification
- Master’s degree (or 4-year bachelor’s) in relevant fields (Materials Science, Mechanical Engineering, Physics, etc.)
- Proficiency in programming and scientific computing
- Advantageous: Coursework or experience in density functional theory, molecular dynamics, or machine learning
- Effective communication skills in English
- Interest in collaborating with experimentalists
Description
Candidates will engage in pioneering research using computational techniques to enhance materials discovery for applications in challenging environments. The role involves collaboration with leading experimentalists and contributing to a newly established research lab within the prestigious ETH Zurich.
How to Apply
Interested candidates must apply online via the ETH Zurich application portal. Required documents include:
- A 1-page cover letter outlining research experience, interests, and motivation for the position
- Curriculum vitae
- Contact information for at least two referees
- Academic transcripts (unofficial copies are acceptable)
Note: Applications via email or postal services will not be considered.
Last Date to Apply
- Applications will be accepted until positions are filled, with the review process beginning in March 2026. Early applications are strongly encouraged.
For further inquiries, contact Prof. Malik Wagih via email at malik.wagih@mat.ethz.ch (no applications).
