Master Thesis Reliability

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account
• Validate and optimize the developed models through test runs and simulations
• Prepare structured documentation of results and present key insights to the project team

• Enrolled in a degree program with excellent academic performance in mechanical engineering, electrical engineering, physics, mechatronics or a comparable field
• Academic focus in technical reliability, modeling, data analysis / data science, or product development
• Initial experience in reliability engineering and programming with Python or MATLAB
• Basic knowledge of data science, modeling, and statistics is an advantage
• Independent, solution-oriented and communicative working style