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BOBosch Group

Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)

Renningen
Full-timeInternshipOn-site
AI/ML
Data Science

Developing robust control strategies for next-gen vehicle stability using RL/MPC in professional simulation at tech developer for mobility solutions. Profound ML/control engineering knowledge and Python DL frameworks experience required. Work in a high-tech simulation environment, tackling challenging conditions.

Requirements

  • Master studies in Cybernetics, Engineering, Mathematics, Computer Science or comparable
  • Profound knowledge of machine learning and control engineering
  • Experience in Python DL frameworks like Pytorch, Tensorflow, or Jax
  • Autonomous, systematic working practice and sharp analytical thinking
  • Very good English skills
  • Enrollment at university

Tasks

  • Develop a robust control strategy for vehicle stability
  • Investigate advanced methodologies like Reinforcement Learning or MPC
  • Implement solutions within a professional simulation environment
  • Rigorously test control functions under challenging conditions
  • Analyze and present research findings
  • Design innovative functions to enhance vehicle handling

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Pytorch
  • Tensorflow
  • Jax
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