
Known for its design, research and development, and manufacturing activities in the automotive industry and is one of the largest automotive suppli...
Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes
必备技能
Python
Machine Learning
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:
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Simulation of dynamic behavior of gearboxes using data driven (mach. learning) & physics based (multi-body) models.
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Research on new techniques to enhance data driven models with physical knowledge or vice versa.
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Evaluation of developed approaches with respect to their robustness and potential for generalization.
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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:
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Study in Mechanical Engineering (major), with a specialization in Data Science or comparable field of study.
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Programming skills (Python), first experience with machine learning and very good English skills.
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Basic knowledge of drive train and gear technology is an advantage.
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Basic knowledge and/or first experience with multi-body modelling is an advantage
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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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关于ZF Friedrichshafen

ZF Friedrichshafen
PublicZF 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+
员工数
Friedrichshafen
总部位置
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.3
职业发展
3.5
管理层
3.7
72%
推荐率
优点
Supportive management and great team culture
Excellent health benefits and retirement plans
Flexible working hours and remote work options
缺点
Heavy workload and frequent overtime
High-pressure and stressful environment
Limited growth opportunities
面试评价
64条评价
难度
3.5
/ 5
时长
14-28周
录用率
38%
体验
正面 68%
中性 16%
负面 16%
面试流程
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
常见问题
Tell me about a challenging project
System design question
Coding problem
Why this company
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