PhD Position in Computational Methods for Optimization and Crystal Plasticity at Technical University of Munich Technical University of Munich in Germany

The Mechanics & High Performance Computing Group at the Technical University of Munich (TUM) is offering a fully funded PhD student position starting around June 2026. This opportunity is ideal for candidates interested in advanced computational methods for nonlinear and large scale optimization, inverse problems, or innovative modeling approaches for computational crystal plasticity. The research will be conducted within a dynamic academic group renowned for its expertise in mechanics and high performance computing.

The position is in-house and includes teaching duties, which require proficiency in both German and English. Applicants should possess a M.Sc. or equivalent degree in engineering, applied mathematics, physics, or a closely related discipline. A strong foundation in mechanics and numerical methods is essential, and programming skills in any language are highly valued. The group encourages applications from disabled persons and will give preference to such candidates in cases of equivalent suitability, aptitude, and professional performance.

Funding for this PhD position is comprehensive, covering salary and benefits as per TUM regulations. The role offers the chance to contribute to cutting-edge research in computational mechanics, optimization, and crystal plasticity, while also gaining valuable teaching experience. The Technical University of Munich is a leading institution in Germany, providing an excellent environment for academic and professional development.

Applicants are required to submit their full application to the provided email address. Please ensure you review the data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) before applying. For further information about the group and its research activities, visit the group homepage. The application portal link is also available for direct submission.

Deadline for applications is June 30, 2026. Early applications are encouraged. The position is suitable for disabled persons, and TUM is committed to equal opportunity and diversity in its hiring practices.