Research assistant in AI-enabled musculoskeletal biomechanics; m​/f​/d

Research assistant in AI-enabled musculoskeletal biomechanics (m/f/d)

The Institute for Materials Science and Engineering at Clausthal University of Technology (Prof Dr Uwe Wolfram) together with the Data-driven Medical Imaging Team of the University of Applied Science and Arts Göttingen (Prof Dr Claire Chalopin) are pleased to announce a research assistant position musculoskeletal biomechanics available for four years with the option of pursue a PhD. The position is embedded in the consortium „Nachhaltige Mensch-KI-Zusammenarbeit (NaMeKI)“, German for Sustainable Human-AI Collaboration which was established between Clausthal University of Technology, Georg-August-Universität Göttingen, University Medical Centre Göttingen, and University of Applied Science and Arts Göttingen.

We welcome applications from individuals who are motivated, enthusiastic, and collaborative, demonstrating a commitment to developing solutions for pressing medical challenges.

The position will focus on patient-specific, AI-enabled musculoskeletal modelling and simulation for the therapeutic mobilization of patients with limited or impaired movement. Dynamic surrogate models are to be developed that can be used to control and enable therapeutic robots to conduct movement therapy. It is planned to share the working time between the Clausthal University of Technology and the University of Applied Science and Arts Göttingen.

Our teams have a strong application focus in research and teaching with strong foci in biologic, architectured materials, including musculoskeletal modelling as well as data-driven medical imaging. The prospective candidate should strengthen this area strategically so that we seek a candidate with a background or interest in musculoskeletal biomechanics.

Key duties and responsibilities:

• Research in AI-enabled musculoskeletal modelling and simulation (Anybody, OpenSIM, Tensor Flow/Keras, etc.)
• Publication of research results in international journals.
• Presentation of research results at international conferences.
• Support for teaching in an area related to the research topic.

Your profile:

• Successful completion of a degree programme (M.Sc., diploma or equivalent) in either biomedical engineering, physics, computer science, mathematics, mechanical engineering, electrical engineering, computational biology or similar subject.
• Applicants without a doctorate will be offered the opportunity to do a doctorate at Clausthal University of Technology.
• Experience with musculoskeletal modelling and simulation engines such as Open Sim or Anybody is desirable.
• Experience with data-driven methods and machine learning approaches is desirable.
• Independent, structured way of working and quick comprehension. This can be illustrated, for example, by first own publications, Git Hub repositories, or similar.
• Good written and spoken English and, if necessary, willingness to learn German.

We offer:

• The opportunity to do a PhD under joint supervision in two exciting labs and embedded in a consortium, including regular networking events.
• An exciting topic and participation in cutting-edge research.
• A family-friendly and collegial working environment in a committed team as well as varied areas of responsibility.
• Flexible working hours and the opportunity to work partly from home.

This position is to be filled as soon as possible, and no later than September 1 st , 2025. We will review applications on an ongoing basis and will close the advertisement on May 15, 2025, with interviews scheduled thereafter. Remuneration is based on the collective agreement for the public service of the federal states (TV-L). The salary scale for this position is EG 13 TV-L with an indicative gross monthly salary range is €4,629.14 – €6,580.44 depending on experience).

The TV-L provides for a special annual payment at the end of the year. In addition, we offer a separate supplementary pension scheme in the form of a company pension (VBL).

Both institutions support the compatibility of career and family through flexible working time models. Both institutions are members of the university association “Family in the University”.

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