Master Thesis on Reinforcement Learning-Based Control Concepts for Permanent Magnet Synchronous Machines

vor 3 Wochen


Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH Vollzeit
Master Thesis Opportunity in Reinforcement Learning-Based Control for Permanent Magnet Synchronous Machines

Robert Bosch GmbH is seeking a highly motivated and skilled individual to work on a master thesis project focused on developing advanced control strategies for permanent magnet synchronous machines (PMSMs) using reinforcement learning-based control concepts.

Project Overview

The goal of this project is to develop and evaluate reinforcement learning-based tracking controller concepts for PMSMs with offset-free tracking. The developed controller concepts will be evaluated in simulation in comparison to state-of-the-art controllers, and the best-performing concepts will be benchmarked at the test bench (optional).

Requirements

  • Education: studies in the field of Cybernetics, Computer Science, Engineering, Mathematics or comparable
  • Experience and Knowledge: in machine learning and control theory; MATLAB/Simulink and Python, ideally in DL frameworks; knowledge of electrical machines is a plus
  • Personality and Working Practice: autonomous, systematic working practice and analytic thinking
  • Languages: good in German or 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)

Maximilian Manderla (Functional Department)

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