PhD Researcher in Advanced Wind Turbine Maintenance

1 month ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full time

We are seeking a talented PhD researcher to join our team at Danmarks Tekniske Universitet (DTU) as part of the IntelliWind project.

About the Project

The IntelliWind project aims to develop a cutting-edge, autonomous decision support system for optimized maintenance in wind turbine infrastructure. As a PhD researcher, you will be responsible for conceptualizing and realizing a versatile, modular, autonomous decision support system tailored to enhance the O&M practices of wind turbines.

Responsibilities
  1. Design and develop a data acquisition subsystem to collect relevant signals and metrics from wind turbines.
  2. Implement machine learning algorithms to analyze sensor data and evaluate performance metrics.
  3. Collaborate with researchers and engineers to integrate the autonomous reasoning module and suggest optimal interventions.
About the Role

This is a three-year position with the possibility of extension. You will have the opportunity to work closely with industry partners, including Vestas, and collaborate with researchers from various academic institutions.

Requirements
  • A two-year master's degree in engineering or applied mathematics/computer science.
  • Experience programming with scientific Python.
  • Familiarity with data science/analytics and machine learning methods.
  • Knowledge of wind energy topics.
  • Excellent communication and teamwork skills.
Benefits

We offer a competitive salary of approximately 40,000-50,000 DKK per month, depending on experience. Additionally, you will have access to advanced training opportunities, participate in scientific discussions within the Marie Skłodowska-Curie Action Doctoral Networks context, and enjoy a rich cultural and social environment in Denmark.



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