DTU Wind Energy Department invites highly talented candidates to apply for a PhD scholarship. The starting date will be as early as possible.
Responsibilities and qualifications
The subject of the PhD project is AI Approaches for Erosion at Wind Turbine Blades. Wind Turbine blade degradation has the effect to reduce the power performance of the turbine, and thereby reducing the lifetime of the rotor blades. The blade degradation due to erosion can be mitigated through controlling the rotation speed during the periods of heavy rains and periodically repaired. Taking this control strategy and operation & maintenance cost into account both during the planning and operational phases of a wind farm can therefore reduce significantly the overall cost of wind energy for society and increase the revenue of the wind farm owner and operator. In this context, this PhD project will investigate how to efficiently create physics informed, AI-based wind farm models of the power performance of wind turbines with eroded blades by combining physical wind farm flow models and aero-elastic simulation results with measurements from different sources. The study will include informed, AI-based analysis on field data and lab data on erosion and weather conditions from numerical weather prediction models as well as local rain and wind observations to implement the control strategy. Furthermore, the study will be used to investigate design optimization and operational control strategies to optimize the levelized cost of energy and other relevant economical metrics of the wind farm.
The successful candidate shall fulfil the following Pre-requisites:
- MSc in engineering, geophysics, computational physics or similar
- Experience with data science and using or designing machine learning methods
- Experience with wind energy topics
- Experience programming with scientific python is much preferred
Approval and Enrolment
The scholarships for the PhD degree are subject to academic approval, and the candidates will be enrolled at DTU Wind Energy. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.
The assessment of the applicants will be made by an assessment committee headed by Katherine Dykes or Pierre-Elouan Réthoré.
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms
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.
You can read more about career paths at DTU here.
Further information may be obtained from Senior Researcher Pierre-Elouan Réthoré, firstname.lastname@example.org +45 2133 1293
You can read more about DTU Wind Energy at https://windenergy.dtu.dk/english
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU–Moving to Denmark.
Your complete online application must be submitted no later than 23 June 2021 (Danish time).
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
You may apply prior to obtaining their master’s degree, but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.