High Performance Model Predictive Control Engineer
vor 1 Monat
Robert Bosch GmbH is seeking a highly skilled engineer to investigate the application of machine learning concepts in model predictive control.
Job Description:
Model predictive control is a promising advanced control method that can improve the efficiency of electric drives. However, its application is often limited due to the huge online computational burden. We want to explore how machine learning concepts can be exploited to improve performance.
Responsibilities:
- Investigate the application of reinforcement learning and deep neural networks in model predictive control
- Benchmark the developed concepts with existing control concepts
- Test the developed concepts on a test bench (optional)
Requirements:
- Education: studies in Cybernetics, Engineering, Mathematics, Computer Science, or comparable
- Experience and Knowledge: Python DL frameworks like Pytorch, Tensorflow, or Jax; profound knowledge of machine learning and control theory
- Personality and Working Practice: autonomous, systematic, analytical thinker
- Languages: good in English
Additional Information:
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.
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