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Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes.
Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes.ZF Group • Antwerpen, Antwerp, BE
Internship : Physics enhanced machine learning for vibration prediction of wind turbine gearboxes.

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

ZF Group • Antwerpen, Antwerp, BE
Il y a plus de 30 jours
Description de poste

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

  • 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.
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