Data Analytics Specialist
vor 4 Wochen
We are seeking a highly motivated and skilled student to complete their final thesis with us. The project focuses on developing a predictive maintenance approach for power electronics, which is essential for optimizing service and ensuring operational reliability.
The successful candidate will investigate UPS topology, determine characteristics for lifetime estimation of critical components, and implement data storage and transmission from the UPS. They will also create a model for lifetime prediction of the investigated components based on measured characteristics and investigate AI algorithms to improve lifetime prediction.
The goal of the project is to develop a reliable method for lifetime prediction of critical components in the UPS system. The student will work closely with our team to ensure the project's success and will have the opportunity to contribute to the development of innovative solutions for the energy transition.
Requirements- Ability to work in a team and good communication skills
- Ongoing studies with a focus on electrical engineering
- Openness and flexibility to challenges
- Ability to organize independently
- Ability to work independently and conscientiously
- Experience with simulation tools like Matlab or Octave
- Knowledge in microcontroller programming
- An innovative, global company that combines tradition with modernity
- A modern team
- Exciting tasks in the field of energy supply (from classic areas to the energy transition)
- Excellent working atmosphere and adequate space for your ideas
- A positive welcome culture and excellent induction by our experienced colleagues
- A large canteen with a wide selection on the company premises
- Fruit and water are always available free of charge
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vor 4 Wochen
Warstein, Nordrhein-Westfalen, Deutschland AEG Power Solutions VollzeitBachelor/Master Thesis: Data Analytics for Predictive MaintenanceWe are seeking a highly motivated and skilled student to complete their final thesis with us. The project focuses on developing a data-driven approach to predict the lifetime of critical components in our UPS systems.The successful candidate will have the opportunity to work on a real-world...
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vor 3 Wochen
Warstein, Nordrhein-Westfalen, Deutschland AEG Power Solutions VollzeitBachelor/Master Thesis: Data Analytics for Predictive MaintenanceWe are seeking a highly motivated and skilled student to complete their thesis with us. The project focuses on developing a data-driven approach to predict the lifetime of critical components in our UPS systems.Project OverviewInvestigate the state of the art in predictive maintenance and...
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