Research Associate (PhD candidate, m/f/d) in the field of Data-Driven Mechanics

Technische Universität Braunschweig; Braunschweig; Sur place; EUR 52 000 - 60 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

30 days vacation

Pension benefits

Résumé du poste

Technische Universität Braunschweig is seeking a Research Associate (PhD candidate) in data-driven mechanics. You will conduct research within the Data-driven modeling of mechanical systems, design computational methods, and contribute to teaching and supervision at the Institute of Applied Mechanics.

The role is fixed-term for 3 years with possible extension, and offers opportunities towards a doctorate or further qualifications in a dynamic, international university environment.

Qualifications

• Ongoing or completed PhD/doctorate track is expected.
• Strong background in continuum solid mechanics.
• Experience with machine learning and Bayesian statistics is a plus.
• Proficient programming in Python and ML libraries.
• Good command of English; German is advantageous.

Responsabilités

• Carry out research in data-driven mechanics; design, implement and test computational methods.
• Publish findings and present at national and international conferences.
• Teach at the university and supervise students' work.

Connaissances

Continuum solid mechanics

Machine learning

English language skills

Team work

Programming and coding

Formation

Master’s degree in mechanics / computational engineering

Outils

Python

PyTorch

JAX

TensorFlow

Julia

Description du poste

Research Associate (PhD candidate, m/f/d) in the field of Data-Driven Mechanics

Institute of Applied Mechanics

With more than 15,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.

Our research focuses on mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities.

Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.

Starting from the earliest possible date, the Institute of Applied Mechanics is looking for a

Research Associate (PhD candidate, m/f/d) in the field of Data-Driven Mechanics (EG 13 TV-L, full-time/part-time)

The position is to be filled on a fixed-term basis for an initial period of 3 years. An extension is intended. The successful applicant will be given the opportunity to pursue a doctorate or to gain further scientific qualifications as a postdoctoral researcher.

Within the Institute of Applied Mechanics, the applicant will be associated with the Division Data-driven modeling of mechanical systems led by Prof. Henning Wessels. The group’s research focuses on the exciting intersection of continuum solid mechanics, machine learning and uncertainty quantification. In this context, our current research interests include, but are not limited to:

• Scientific and physics-informed machine learning
• Parameter identification, model discovery and (statistical) model updating

Further details regarding our research activities and recent publications can be found on our website.

Your tasks

• You will carry out research in the area of data-driven mechanics, i.e. design, implement and test computational methods.
• You will publish research findings and participate in national and international conferences.
• You will be involved in teaching at the University (preparation and implementation of courses as well as supervision of students’ work).

Your Qualifications

• You have a strong background in continuum solid mechanics, prior experience in machine learning (and ideally in Bayesian statistics).
• You have experience in and do enjoy coding, in particular with Python and its machine learning libraries such as PyTorch, JAX or Tensorflow. Julia is a plus.
• You have very good English language skills. German language skills are of advantage.
• You are flexible and work well in a team.
• You have a degree (Master’s or equivalent) with a strong focus on continuum solid mechanics and computational methods (for instance in mechanical, civil or computational engineering, applied mathematics, or similar).

We offer

• Access to extensive experimental equipment (and real-world data)
• Latest laptops and compute servers, as well as height-adjustable desks in light-flooded offices
• Work on exciting future-oriented research topics in an inspiring work environment as part of the university community (exemplified, e.g., by an active GAMM junior group).
• A vibrant campus life in an international atmosphere with lots of intercultural offers and international cooperations.
• Pay in accordance with the collective agreement TV-L (a special payment at the end of the year as well as a supplementary benefit in the form of a company pension, comparable to a company pension in the private sector) including 30 days' vacation per year
• Flexible working and part-time options and a family-friendly university culture, awarded the "Family-friendly university" audit since 2007
• Special continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities.

Further notes

We welcome applicants of all nationalities. At the same time, we encourage people with severe disabilities to apply. Applications from severely disabled persons will be given preference if they are equally qualified. Please attach a proof of disability to your application. We are also working on the fulfilment of the Central Equality Plan based on the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz—NGG) and strive to reduce under-representation in all areas and positions as defined by the NGG. Therefore, applications from women are particularly welcome in this case.

The personal data will be stored for the purpose of processing the application. By submitting your application, you agree that your data may be stored and processed electronically for application purposes in compliance with the provisions of data protection law. Further information on data protection can be found in our data protection regulations at https://www.tu-braunschweig.de/datenschutzerklaerung-bewerbungen .

Application costs cannot be reimbursed.

Questions and Answers

For more information, please visit our website https://www.tu-braunschweig.de/iam and/or contact Prof. Dr.-Ing. Henning Wessels at h.wessels(at)tu-braunschweig.de .

Deadline for applications is November 15, 2026.