Student - Controlling motion of virtual Human models with machine learning (m / f / d) - Entwicklung, Forschung, IT

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognised for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

What to expect

You will work at the intersection of machine learning, biomechanics, and vehicle safety. In this project, you will focus on generating human body model motion, with an emphasis on modeling, control, and movement patterns. You will gain hands-on experience in applying ML methods to engineering and biomechanical problems, contribute to state-of-the-art safety research, and develop a concrete deliverable as the outcome of your thesis. Along the way, you’ll be supported in performing a focused literature review, exploring innovative methods, and tailoring the project direction to your background and interests.

Your tasks

• Investigate approaches to generating and controlling human body model motion via active muscles
• Conduct a focused literature review to position your work in the field
• Run simulations to evaluate biomechanical model responses
• Explore and test innovative methods for generating and controlling motion, with room for creativity
• Apply machine learning and / or optimization to model control or movement patterns
• Analyzing results, identifying key challenges and limitations

Your profile

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 3228) please contact :

Daniel Grealy

Tel. : +49 711 6862-214