Master Thesis Reliability (f/m/x)
Carl Zeiss AG · Oberkochen
ThesisGerman needed: none
Still open on 10 NovKey facts
- Duration
- Until your thesis is done
- Subject you study
- Mechanical Engineering, Electrical Engineering, Physics, Mechatronics
What you'll do
- 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
What you need
- 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