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AI-Powered Wind Turbine Maintenance Specialist
1 week ago
About the Job
DTU Wind is seeking a highly skilled and motivated PhD student to work on the development and implementation of an autonomous decision support system for optimized maintenance in wind turbine infrastructure. The successful candidate will have a strong background in engineering or applied mathematics/computer science, with a keen interest in scientific programming, machine learning, and data science.
The PhD project aims to create a versatile, modular, autonomous decision support system that enhances O&M practices of wind turbines by focusing on faults that cause degradation of the wind turbine and plant power generation performance. This will involve integrating a data acquisition subsystem, a ML-based data analytics module, and an autonomous reasoning module to suggest optimal interventions.
About DTU Wind
DTU Wind is a leading research center at Danmarks Tekniske Universitet (DTU), dedicated to advancing knowledge and innovation in wind energy technology. Our team consists of experts from various disciplines, working together to tackle some of the most complex challenges facing the industry today.
We offer a unique opportunity to be part of IntelliWind, a Doctoral Network funded by the EU Marie Skłodowska-Curie Actions program. As a member of this network, you will benefit from collaboration with top researchers and engineers from academia and industry, as well as access to cutting-edge facilities and resources.
Responsibilities and Qualifications
- Conceptualize and realize a versatile, modular, autonomous decision support system tailored to enhance O&M practices of wind turbines.
- Identify signals or metrics that can be indicators of asset health state related to fault/degradation modes being studied.
- Develop tools to automatically analyze sensor data to evaluate relevant metrics and relate them to other external factors.
Benefits and Opportunities
We offer a competitive salary and benefits package, including a generous allowance and opportunities for professional growth and development. You will also have the chance to collaborate with top researchers and engineers from academia and industry, as well as access to cutting-edge facilities and resources.
