Working Student Advanced Driver Assistance Systems

Valeo

Bietigheim, Germany
Not specified; not specified; benefits include spo...
Signal processing knowledge
C/c++ and python programming
Deep learning or machine learning frameworks
The role involves evaluating state-of-the-art algorithms for Hands-Off Detection and friction estimation to reinvent mobility

Job Summary

  • The role involves evaluating state-of-the-art algorithms for Hands-Off Detection and friction estimation to reinvent mobility.
  • Candidates will develop robust mechanisms for determining friction in the steering system and define KPIs for HOD performance.
  • Valeo offers a flexible work environment with benefits including health contributions, job bikes, and opportunities for global career growth.

Matching Summary

The role involves evaluating state-of-the-art algorithms for Hands-Off Detection and friction estimation to reinvent mobility.

Salary

Not specified; Not specified; Benefits include sport/health subsidies, pension, canteen, and JobRad

Skills & Requirements

Must-have

  • Signal processing knowledge
  • C/C++ and Python programming
  • Deep learning or machine learning frameworks

Nice-to-have

  • Experience with Matlab and Simulink
  • Prior driver assistance systems knowledge
  • Agile working methodology
  • Hands-on/off event labeling experience

Key Requirements

  • Study in Computer Science, Electrical Engineering, Mechatronics, or related field
  • Negotiable English and German language skills

Work Rights

Not specified

Tailored Resume

Cover Letter