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

ZF Friedrichshafen

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

ZF Friedrichshafen

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On-site

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Internship

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6d ago

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 or thesis student 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 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.

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

Contact

Lucie Radová

+420 373 736 426

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About ZF Friedrichshafen

ZF Friedrichshafen

ZF Friedrichshafen AG, also known as ZF Group, originally Zahnradfabrik Friedrichshafen, and commonly abbreviated to ZF, is a German technology manufacturing company that supplies systems for passenger cars, commercial vehicles and industrial technology.

10,001+

Employees

Friedrichshafen

Headquarters

Reviews

4.1

42 reviews

Work Life Balance

4.0

Compensation

4.6

Culture

4.0

Career

4.0

Management

4.0

83%

Recommend to a Friend

Pros

Strong engineering culture with focus on code quality

Competitive compensation packages with equity

Flexible remote work options and good work-life balance

Cons

Some legacy systems that need modernization

Work-life balance can be challenging during product launches

Organizational changes and restructuring can be disruptive

Interview Experience

64 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Offer Rate

38%

Experience

Positive 68%

Neutral 16%

Negative 16%

Interview Process

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

Common Questions

Tell me about a challenging project

System design question

Coding problem

Why this company