Wind Energy Decision Support Systems PhD Scholarship

2 days ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full time
Your Responsibilities
  • Develop a combination of anomaly detection and alarm prediction models based on wind turbine SCADA data and alarm event records.
  • Use manufacturer specifications, metadata, and historical event data to develop a methodology that can assign probable causes to an anomaly.
  • Develop a risk ranking system for detected anomalies, considering the likelihood of triggering downtime or corrective actions.
What We Offer

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. You will have the opportunity to work on cutting-edge research projects, collaborating with industry partners and other academics.

As a researcher at DTU, you will be part of a vibrant community of experts in wind energy and related fields, with access to state-of-the-art facilities and resources. You will have the chance to present your research at international conferences and publish your results in top-tier journals.

We offer a dynamic and inclusive work environment, with opportunities for professional growth and development. If you are passionate about wind energy, machine learning, and data science, this is an excellent opportunity to take your career to the next level.


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