Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynam at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Control Engineering, Machine Learning, Python, Pytorch, Tensorflow, Jax, Reinforcement Learning, Model Predictive Control, Vehicle Dynamics, Cybernetics, Analytical Thinking, Simulation

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description Are you driven to improve vehicle safety and performance? We are looking for a talented master’s student to develop a state-of-the-art control system for vehicle stability, a critical component for the future of driving and autonomous systems. The goal of this thesis is to design and validate an innovative control function that enhances vehicle stability and handling beyond today's standards. During your thesis you will work on a real-world automotive application, contributing directly to the development of safer and more agile vehicles. You will develop a robust control strategy to maximize vehicle stability and performance under challenging conditions. Furthermore, you will investigate and apply advanced control methodologies. Possible approaches include data-driven techniques like Reinforcement Learning (RL) or established methods such as Model Predictive Control (MPC). In a professional simulation environment, you will implement and rigorously test your solution. Finally, you will analyze and present your findings, contributing to a key area of automotive innovation. Qualifications Education: Master studies in the field of Cybernetics, Engineering, Mathematics, Computer Science or comparable with good grades Experience and Knowledge: profound knowledge of machine learning and control engineering; experience in Python DL frameworks like Pytorch, Tensorflow, or Jax Personality and Working Practice: you excel at combining an autonomous, systematic working practice with sharp analytical thinking Languages: very good in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Felix Berkel (Functional Department) +49 711 811 92301 Work #LikeABosch starts here: Apply now! #LI-DNI Legal Entity: Robert Bosch GmbH

Responsibilities

The candidate will design and validate an innovative control function to enhance vehicle stability and handling. They will implement and test these control strategies within a professional simulation environment.