Fachbereich Wirtschaftswissenschaften

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

TITLE OF THE OFER : Internship: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes
REFERENCE : 73218-43049326

TYPE OF CONTRACT : Internship
LOCALISATION : Antwerpen 2600, BE
LEVEL OF STUDIES : None
YEARS OF EXPERIENCE : < 6 months

DURATION : From 3 to 6 months
SECTOR : Environment
POSITION : Research & Development Management
COMPANY :
ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility. ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility.

With some 165,000 employees worldwide, ZF reported sales of €43.8 billion in fiscal 2022. The company operates 168 production locations in 32 countries.

JOB DESCRIPTION :

We are looking for interns or 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 puts wind energy in motion! The ZF Wind Power Business Unit is part of ZF group which is known as one of the world’s leading automotive suppliers. Within our unit we develop, validate and service gear units used in wind turbines producing sustainable energy and we have been doing this for more than 40 years! Today we build new drivetrain solutions to meet the requirements of the future. As wind turbines continue to grow, we are continuously pushed outside of our engineering boundaries, which makes it a challenging engineering environment to work in.

 

What you can look forward to:

 

  • 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 

  
PROFILE :
Your profile:
* Studying towards a degree in mechanical engineering, 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
To apply: https://apply.multiposting.fr/jobs/12098/43049326