Data Scientist for Anomaly Detection in Wind Energy Systems

2 weeks ago


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

We are seeking a highly skilled Data Scientist to join our team at DTU Wind, located in Risø, near Roskilde. The successful candidate will have the opportunity to contribute to the development of a Decision Support System that automatically detects and evaluates anomalies likely to trigger alarm events in wind turbines.

The primary tasks of the PhD student will be to use data science and machine learning techniques to develop a combination of anomaly detection and alarm prediction models based on wind turbine SCADA data and alarm event records. The candidate will also work on developing a methodology that can assign probable causes to an anomaly using manufacturer specifications, metadata, and historical event data.

In addition, the PhD student will develop a risk ranking system for detected anomalies, considering the likelihood of triggering downtime or corrective actions. To achieve this, the candidate will have access to advanced training in various European universities and industry, as well as participate in scientific discussions within the Marie Skłodowska-Curie Action Doctoral Networks context.

Required Skills and Qualifications
  • 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 data science/analytics and machine learning methods.
  • Experience with wind energy topics.
Benefits

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

As part of IntelliWind, you will not only facilitate your professional growth but also benefit from being part of a comprehensive doctoral network with other leading institutions in the field. You will have the opportunity to visit industry and other academic institutions within the consortium and expand your knowledge and expertise.

This position offers a unique chance to make a significant contribution to the development of trustworthy decision processes in autonomous operations and to advance renewable energy systems. If you are passionate about addressing climate change and advancing sustainable technologies, then this PhD project may be of interest to you.

Please note that we expect candidates to have not been awarded a title of PhD and not resided or carried out their main activity in Denmark for more than 12 months within the last 3 years. We are looking for a dedicated individual who thrives on solving complex problems and possesses the determination to pursue innovative solutions in a rapidly evolving field.



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