Internship (m/f/d) for Optimization of Industrial Asset Management

Key responsibilities

• Contributing to ongoing research activities on the optimization of Operations & Maintenance for energy-intensive industries, helping to improve long-term financial performance and operational reliability.
• Developing mathematical models for the lifecycle management of critical industrial assets, considering factors like asset health.
• Implementing multi-stage optimization algorithms, focusing on balancing long-term strategic goals with operational decisions.
• Analyzing and summarizing results and preparing technical documentation.
• We expect that you will 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 have a Master’s study background in Electrical Engineering, Industrial Engineering, Systems Engineering, Computer Science, Mathematics or a similar field.
• You know how to model complex systems starting from first-principles equations.
• You are well acquainted with mathematical optimization and algorithms.
• You have programming experience (e.g., Python, C/C++).
• You have publication experience, which is a plus.
• You are familiar with Git and LaTeX, which is a plus.
• You are proficient in using optimization solvers (e.g., CPLEX, Gurobi, or open-source solvers), which is a plus.
• You are a good communicator with sound English skills in speaking and writing as required by an international team.