Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes

What's next? Join ZF!

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

ZF Wind Power is a division of ZF Friedrichshafen AG that specializes in designing and manufacturing gear systems for wind turbines. Together with its partners, it develops, 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 & efficient products and systems conserve precious resources. This way we empower a sustainable future together with our partners.

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:

• Studying towards a Master's degree in Mechanical Engineering (major), with a specialization in Data Science or comparable field of study.
• Programming skills (Python) and first experience with machine learning 
• 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.
• Very good English language skills

Find out more: www.zf.com/windpower