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ABABB AG

Internship Industrial Optimization(m/w/x)

Mannheim
Full-timeInternshipOn-site

Researching switchgear service planning and developing optimization methodologies in Python. Mathematical optimization and algorithms knowledge required. Internship duration, Master's degree in STEM field.

Requirements

  • Enrolled student for full internship duration
  • Master's degree in Mathematics, Electrical Engineering, Computer Science, Computational Engineering, or similar
  • Acquainted with mathematical optimization and algorithms
  • First experiences in scheduling, discrete optimization, statistic data analysis, or model uncertainties
  • Interest in solving complex industrial optimization problems
  • Profound programming experience (e.g., Python, Matlab)
  • Good communication and sound English skills (speaking and writing)
  • Independent and self-motivated work ethic with quick grasp of new concepts

Tasks

  • Contribute to service planning research for switchgear
  • Support development of optimization methodologies
  • Conduct literature review on state-of-the-art solutions
  • Evaluate applicability of solutions to specific problems
  • Implement optimization algorithms in Python
  • Translate theoretical concepts into practical solutions
  • Present results to the team regularly
  • Participate in technical discussions
  • Document findings in technical reports
  • Tackle difficult problems proactively
  • Implement and test models and algorithms
  • Propose new ideas to overcome challenges
  • Drive independent work tasks as a project team member

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Matlab
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