Internship (m/f/d) Industrial Optimization

Key responsibilities

You will be mainly accountable for:

• Contribute to ongoing research activities on service planning for switchgear, helping us to increase the reliability of energy grids.
• Support the development of optimization methodologies for complex industrial problems.
• Prepare the development of algorithms with a comprehensive literature review on state-of-the-art solutions and evaluate their applicability to our specific problem and our data landscape.
• Implement optimization algorithms in Python, translating theoretical concepts into practical, executable solutions.
• Regularly share results with the team through presentations, technical discussions, and documentation in technical reports.
• We expect that you show readiness to tackle difficult problems, above-average motivation to implement and test developed models and algorithms, and proactiveness to come up with new ideas on how to overcome possible challenges.
• Driving an independent work task as a project team member.

Qualifications for the role

• You are enrolled as a student for the full duration of the internship (mandatory).
• You have a Master study background in Mathematics, Electrical Engineering, Computer Science, Computational Engineering, or a similar field.
• You are well acquainted with mathematical optimization and algorithms.
• You have first experiences in handling scheduling problems, discrete optimization problems, statistic data analysis, and/or model uncertainties.
• You are interested in solving complex industrial optimization problems.
• You have profound programming experience (e.g., Python, Matlab).
• You are a good communicator, having sound English skills in speaking and writing required by an international team.
• You work independently and self-motivated while having a quick grasp of new concepts and technical challenges.