Master Thesis (m/f/d) - Imitation And Transfer Learning Of Model Predictive Controllers

ABB Inc

Mannheim, Germany
Hybrid
Model predictive control algorithms
Imitation learning
Surrogate models
Contribute to ongoing research activities on learning-based optimal control and model predictive control

Job Summary

  • Contribute to ongoing research activities on learning-based optimal control and model predictive control.
  • Develop control strategies based on imitation learning and surrogate models to increase computational efficiency and reduce response time.
  • Gain practical experience through challenging tasks in a project team and build your professional network.

Matching Summary

Contribute to ongoing research activities on learning-based optimal control and model predictive control.

Skills & Requirements

Must-have

  • model predictive control algorithms
  • imitation learning
  • surrogate models
  • control theory foundations
  • Python programming

Nice-to-have

  • numerical optimization experience
  • optimization solvers experience
  • data analysis experience
  • model identification experience

Key Requirements

  • Bachelor’s degree in Control Engineering, Automation Engineering, Systems Engineering or similar
  • Solid theoretical foundations on control theory
  • First experience with model identification and data analysis
  • Know how to build and run optimal control and model predictive control algorithms
  • First experience with programming languages, e.g., Python, C/C++
  • Sound English skills in speaking and writing

Work Rights

Not specified

Tailored Resume

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