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ABABB AG

Master Thesis - Imitation and Transfer Learning of Model Predictive Controllers(m/w/x)

Mannheim
Full-timeInternshipOn-site

Developing learning-based controllers for optimal control systems. Model predictive control algorithm experience required. Student events, personal HR contact.

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
  • Ability to build and run optimal control algorithms
  • Ability to build and run model predictive control algorithms
  • First experience with programming languages (e.g., Python, C/C++)
  • Sound English skills in speaking and writing
  • Experience in numerical optimization (advantageous)
  • Experience in use of different optimization solvers (e.g., Ipopt, Gurobi, Cplex) (advantageous)
  • Master’s thesis completion with four months on-site

Tasks

  • Contribute to ongoing research on learning-based optimal control
  • Develop control strategies using imitation learning and surrogate models
  • Explore various architectures and algorithms for learning-based controllers
  • Evaluate performance of learning-based and imitation-based controllers
  • Gain practical experience in a project team
  • Work independently on assigned tasks
  • Collaborate with competent experts and gain technology insights
  • Get familiar with new and complex topics
  • Participate in code development

Education

  • Currently in higher educationOR
  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • C/C++
  • Ipopt
  • Gurobi
  • Cplex

Benefits

Team Events

  • Student events

Informal Culture

  • Personal contact with HR
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