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

ZF -
Anvers

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Détails de l'emploi

Stage

Qualifications

Esprit d'analyse
Machine learning
Python

Description complète du poste

Become our next FutureStarter

Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary!

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

Country/Region: BE

Location: Antwerpen, Antwerp, BE, 2600

Req ID 79252 | Antwerpen, Belgium, ZF Wind Power Antwerpen NV

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. 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.

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 in the noise and vibration research and development team:

Simulation of dynamic behavior of gearboxes using data driven (mach. learning) & 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 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.

Find out more: www.zf.com/windpower

Be part of our ZF team as Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes and apply now!

Contact

Helena Paul

+49 7541 77 969121

What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?

At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility.

Find out how we work at ZF:

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