Master's thesis "Development of an ML-based framework for the design of radial compressors"

We are looking for a master's thesis student to contribute to the development of an ML-based framework for the design of radial compressors. The student will research ML-based approaches, collect and analyze CFD data, and develop an automated workflow for building and evaluating the ML model.

Requirements

• Ongoing master's studies in mechanical engineering, energy engineering, or process engineering
• Solid knowledge of turbomachinery/fluid machinery
• Programming experience in Python
• Ability to work independently
• Interest in machine learning (ML)

Benefits

• Teamwork at eye level
• Theory meets practice
• Flex work
• Students@UMSICHT
• Health & well-being