Internship/ Master Thesis: Physics enhanced machine learning for vibration prediction
Country/Region:
BE
Location:
Antwerpen, Antwerp, BE, 2600
At our ZF Wind Power site in Antwerp, we are looking for interns/ graduate students to join our noise and vibration research team as soon as possible for the next six months.
Your tasks:
- Simulation of the dynamic behavior of gearboxes using data driven (machine learning) and physics based (multi-body) models.
- Research on new techniques to enhance data driven models with physical knowledge or vice versa.
- Evaluation of developed approaches with respect to their robustness and potential for generalization.
- Implementation of Gearbox Digital Twin functionality and automated calculation tools for gearboxes
Your profile:
- Studying towards a degree in Mechanical Engineering, Data Science, or a comparable field of study.
- Programming skills (Python), first experience with machine learning and very good English skills.
- Basic knowledge of drive train and gear technology is an advantage.
- Basic knowledge and/or first experience with multi-body modelling is an advantage.
- Team spirit, analytical skills, quick comprehension, solution-oriented and independent working style.
Be part of our ZF team and apply now!
Contact
Helena Paul
(+49) 7541 77969121
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Physics, R&D Engineer, Mechanical Engineer, Intern, Science, Engineering, Automotive, Entry Level