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ABABB AG

Internship - Learning-Based Optimal Control for Industrial Applications(m/w/x)

Mannheim
Full-timeInternshipOn-site
AI/ML
Data Science

Designing and implementing advanced control systems for industrial processes, integrating machine learning techniques. Prior knowledge in numerical optimization, control theory, and machine learning essential. Internship focusing on model predictive control and CasADi tools.

Requirements

  • Enrollment in Electrical Engineering, Mechanical Engineering, Engineering Cybernetics, Mathematics or similar
  • Solid programming experience in Python, C/C++ or Matlab
  • Sound English skills in speaking and writing
  • Prior knowledge and experience in numerical optimization, control theory and machine learning
  • Strong interest in optimal control, model predictive control and related tools (e.g. CasADi)
  • Great attention to detail
  • Analytical and structured way of thinking
  • Readiness to tackle difficult problems, above-average motivation to implement and test models and algorithms, and proactiveness in overcoming challenges

Tasks

  • Contribute to research in numerical optimization, control theory, and machine learning
  • Develop optimization-based control solutions for industrial applications
  • Support implementation of numerical optimization algorithms for real-time control systems
  • Enhance traditional methods with machine learning techniques for improved performance

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • C/C++
  • Matlab
  • CasADi
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