Physics enhanced machine learning for vibration prediction of wind turbine gearboxes

Job Description

What´s Next? Join ZF!

ZF Wind Power is a division of ZF Friedrichshafen AG that specializes in designing and manufacturing gear systems for wind turbines.

ZF Wind Power develops, together with its partners, unique gearbox designs and services to guarantee the highest quality at competitive costs. Advanced technology and service solutions contribute to the transformation of the global energy system, in which reliable, robust and efficient products and systems conserve precious resources. This way we empower a sustainable future together with our partners.

It is time to take the right path into your future. With ZF, a leading global technology group.

We are looking for interns for ZF Wind Power in our location in Antwerp, starting as soon as possible for the next six months.

Your tasks as an intern or thesis student in the noise and vibration research and development team:

• 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 as an intern or thesis student in the noise and vibration research and development team:

• Study in Mechanical Engineering (major), with a specialization in Data Science or 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.