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Master Thesis Researcher
2 months ago
We are seeking a highly motivated and skilled Master Thesis student to join our team in MI&XR Development. As a Master Thesis student, you will have the opportunity to work on a real-world project that will help us deepen our ability to transform data into data-driven choices that enable us to capitalize on key opportunities within our manufacturing processes.
About the ProjectThe project aims to investigate how to leverage existing data to better understand when to replace spare parts. Currently, there is no easy way to monitor the condition and performance of spare parts, which can lead to equipment breakdowns and deviations from approved processes and standards.
Key Responsibilities- Collect data from key spare parts
- Identify patterns and correlations between spare parts' conditions and machine performance
- Develop an automated approach to spot when spare parts are about to drift out of specs
- Develop predictive models to predict when to change spare parts
- Optimize inventory stock levels
The position is anchored in the MI&XR development unit within ET Manufacturing Development and Quality Control. Our team consists of 12 highly skilled colleagues with different backgrounds ranging from data scientists, backend developers, frontend developers, and data engineers. We work closely together with the MI Product and Strategy team, which provides competencies within the roles of product owners, product managers, and UI/UX designers.
Qualifications- Data engineering
- Production simulation
- ML/DL
We are looking for a candidate who is passionate about data-driven innovation and has a strong background in data engineering, production simulation, and ML/DL. If you are interested in working on a real-world project that will help us improve our manufacturing processes, we encourage you to apply for this position.