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

Req ID 73218 | Antwerpen, Belgium, ZF Wind Power Antwerpen NV

We are looking for interns or 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 puts wind energy in motion! The ZF Wind Power Business Unit is part of ZF group which is known as one of the world’s leading automotive suppliers. Within our unit we develop, validate and service gear units used in wind turbines producing sustainable energy and we have been doing this for more than 40 years! Today we build new drivetrain solutions to meet the requirements of the future. As wind turbines continue to grow, we are continuously pushed outside of our engineering boundaries, which makes it a challenging engineering environment to work in.

What you can look forward to:

• 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 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.

Find out more: www.zf.com/windpower 

Be part of our ZF team and apply now!

Contact

Helena Paul

+49 7541 77 969121