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Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- Pytorch
- Tensorflow
- Jax
Not a perfect match?
- Bosch GroupFull-timeInternshipOn-siteRenningen
- Bosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- Pytorch
- Tensorflow
- Jax
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart