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

ZF -
Anvers

Soumettre votre candidature

Détails de l'emploi

Stage
Il y a 12 heures

Qualifications

Esprit d'analyse
Machine learning
Python

Description complète du poste

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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

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Req ID 89034 | Antwerpen, Belgium, ZF Wind Power Antwerpen NV

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

Be part of our ZF team and apply now!

Contact

Helena Paul

+49 7541 77 969121

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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.

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Find out how we work at ZF:
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Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes

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