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Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Master Thesis - Advanced control methods for e-bicycles

Location: 

Friedrichshafen, BW, DE, 88046

Req ID 12446
     

We are reinforcing our team in the corporate research & development department at our location in Friedrichshafen starting in April 2021

 

Your tasks: 

  • Mathematical modelling of an e-bicycle (rigid body dynamics, drivetrain, sensors), its context (driver, road), and the coupling between e-bicycle and context
  • Design, implementation, and calibration of a behavioral simulation model
  • Model analysis and reduction
  • Design, implementation, and validation of embedded algorithms (state estimation, feed-forward/feedback control)

 

Your profile:

  • Master’s degree student in engineering with a background in systems theory, robotics, numerics or machine learning/artificial intelligence
  • Experience in Matlab and object-oriented programming
  • Passion for automatic control of dynamic systems
  • Motivated and willingness to learn new skills
  • Excellent communication skills in English or German

 

Compatibility of work and family life is firmly anchored at ZF. For more information, please visit www.zf.com/berufundprivatleben

 

Be part of our ZF team as Master Thesis - Advanced control methods for e-bicycles and apply now!

Contact

Helena Paul

(+49) 7541 77969121

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.


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