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Malik Wagih

Professor at ETH Zürich

ETH Zürich

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Switzerland

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Research Interests

Defect Engineering

10%

Mechanical Engineering

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Physics

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Machine Learning

10%

Materials Science

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Positions1

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Malik Wagih

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ETH Zürich

PhD Position in Computational Materials Discovery for Extreme Environments

The Materials Modeling Group, led by Professor Malik Wagih, is launching in February 2026 within the Department of Materials at ETH Zürich and is seeking motivated PhD candidates for positions starting June 2026 or by mutual agreement. The group focuses on computational materials discovery for extreme environments, leveraging defect engineering to accelerate the development of materials capable of withstanding conditions where conventional materials fail. Application areas include fusion reactors, hydrogen systems, and space applications, making this an exciting opportunity for those interested in high-impact research. Research in the group combines theory, physics-based simulations, machine learning, and autonomous workflows to understand and design advanced materials. Projects will cover topics such as defect thermodynamics and kinetics, coarse-graining across time and length scales, machine learning from small and multi-fidelity datasets, and the development of autonomous discovery workflows. Collaboration with experimentalists at ETH Zürich and other institutions is encouraged, providing a rich interdisciplinary and international research environment. ETH Zürich is renowned for its excellence in science and technology, offering access to state-of-the-art computational infrastructure and a vibrant academic community. The university values diversity, sustainability, and equality of opportunity, fostering an inclusive culture where all staff and students can thrive. The Materials Modeling Group is committed to these values and encourages applicants from diverse backgrounds. Eligibility: Candidates should hold a Master's degree (or a 4-year bachelor's) in Materials Science, Mechanical Engineering, Physics, or a related field. Proficiency in programming and scientific computing is required, and prior experience or coursework in density functional theory, molecular dynamics, or machine learning is advantageous. Effective communication skills in English and an interest in metals and alloys are essential. The ability to collaborate with experimentalists is highly valued. Funding: The position is fully funded, with a competitive salary according to ETH standards. Students will benefit from access to cutting-edge computational resources and a supportive, interdisciplinary research environment. Application Process: Interested candidates should submit their application online via the ETH Zürich application portal. Required documents include a 1-page cover letter describing research experience and interests, a curriculum vitae, contact information for at least two referees, and academic transcripts (unofficial copies accepted). Applications via email or postal services will not be considered. Review of applications will begin in March 2026 and continue until the positions are filled, so early applications are encouraged. For further information about the position, prospective applicants may contact Professor Malik Wagih at [email protected] (please note: no applications via email). ETH Zürich is located in the heart of Europe and is recognized globally for its contributions to science, technology, and education. The university provides an inspiring environment for independent thinking and research excellence, with over 30,000 people from more than 120 countries working together to address global challenges.