Your tasks
as an intern or thesis student in the noise and vibration research and development team
1. Simulation of the dynamic behavior of gearboxes using data driven (machine learning) and physics based (multi-body) models.
2. Research on new techniques to enhance data driven models with physical knowledge or vice versa.
3. Evaluation of developed approaches with respect to their robustness and potential for generalization.
4. Implementation of Gearbox Digital Twin functionality and automated calculation tools for gearboxes
Your profile as an intern or thesis student in the noise and vibration research and development team
5. Study in Mechanical Engineering (major), with a specialization in Data Science or comparable field of study.
6. Programming skills (Python), first experience with machine learning and very good English skills.
7. Basic knowledge of drive train and gear technology is an advantage.
8. Basic knowledge and/or first experience with multi-body modelling is an advantage
9. Team spirit, analytical skills, quick comprehension, solution-oriented and independent working style.