Research Associate (PhD student) in Data-Driven Mechanics

The Institute of Applied Mechanics at Technische Universität Braunschweig is seeking a Research Associate (PhD student, m/f/d) in the field of Data-Driven Mechanics. This position is part of the Division for Data-driven Modelling of Mechanical Systems, led by Prof. Dr.-Ing. Henning Wessels. The group’s research is at the intersection of continuum solid mechanics, machine learning, and uncertainty quantification, with current interests including scientific and physics-informed machine learning, parameter identification, model discovery, statistical model updating, multi-scale modelling, generative modelling, and additive manufacturing. The successful candidate will design, implement, and test computational methods in data-driven mechanics, publish research findings, participate in national and international conferences, and contribute to teaching and student supervision. The position is initially for two years, with the opportunity to pursue a doctorate. Applicants should have a strong background in continuum solid mechanics, experience in machine learning (ideally including Bayesian statistics), and strong coding skills in Python or Matlab (Julia is a plus). Excellent English skills are required; German is advantageous but not mandatory. A Master’s degree or equivalent in a relevant field is essential. The university offers access to extensive experimental equipment and real-world data, modern computing resources, and a vibrant, international campus life. Employment is according to the collective agreement TV-L (EG 13), with benefits including a special annual payment, company pension, 30 days' vacation, flexible working options, and a family-friendly environment. Continuing education and support for young scientists are also provided. Applications from all nationalities are welcome, and the university encourages applications from women and people with disabilities. The deadline for applications is April 10, 2026. For more information, visit the institute’s website or contact Prof. Dr.-Ing. Henning Wessels at [email protected]. Applications should be sent via email to [email protected].