Design AI-Powered Wind Turbine Maintenance Expert

1 day ago


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

About the Project

Danmarks Tekniske Universitet (DTU) is seeking a highly motivated PhD student to join our team in designing an automated component monitoring and maintenance recommendation system for wind turbine components.

The successful candidate will have the opportunity to work on a project that addresses climate change by advancing renewable energy systems. The project aims to 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, and design automatic work orders that recommend a list structural details to be maintained throughout a wind turbine portfolio.

The project involves collaboration with researchers and engineers at DTU and external partners in academia and industry, including Vattenfall and the Technical University of Munich. The successful candidate will also have the opportunity to participate in scientific discussions within 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.

Requirements

  • A two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree;
  • Experience programming with scientific Python;
  • Experience with machine learning methods;
  • Basic knowledge of reliability and maintenance concepts;
  • Experience with wind energy topics.

Benefits

  • The opportunity to work on a project that addresses climate change and advances renewable energy systems;
  • Collaboration with researchers and engineers at DTU and external partners in academia and industry;
  • Participation in scientific discussions within the Marie Skłodowska-Curie Action Doctoral Networks context;
  • Access to advanced training in various European universities and industry;
  • The chance to evolve within academia at DTU and expand your professional network.

Application Procedure

To apply, please submit your application no later than September 30th, 2024. Applications must be submitted as one PDF file containing all materials to be given consideration.



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