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PhD Scholarship in Automated Component Monitoring
1 week ago
DTU Wind invites applications for a PhD position as part of the IntelliWind project.
The objective of this research is to design an automated component monitoring and maintenance recommendation system for wind turbine components. The system will monitor bolt tension and automatically generate work orders for bolts and tower sections that need to be re-tensioned.
We are seeking a passionate and enthusiastic researcher who thrives on solving complex problems, isn't afraid to ask challenging questions, and possesses the determination to pursue innovative solutions in a rapidly evolving field.
In this role, you will have the opportunity to evolve within academia at DTU Wind, located in Risø, near Roskilde, just 30 minutes from Copenhagen. You will benefit from advanced training in various European universities and industry, participate in scientific discussions within the rich context of the Marie Skłodowska-Curie Action Doctoral Networks context.
Responsibilities and Qualifications- Design a monitoring system that can automatically estimate component response through processing of sensor signals;
- Develop a prognostics module that estimates the likelihood of failure of a connection based on the currently estimated state of loading;
- Design automatic work orders that recommend a list structural details to be maintained throughout a wind turbine portfolio.
You must have a two-year master's degree or a similar degree with an academic level equivalent to a two-year master's degree. In addition, we expect that you have some level of experience programming with scientific Python, experience with machine learning methods, basic knowledge of reliability and maintenance concepts, and experience with wind energy topics.
