EngD Position: LiDAR-Assisted Wind Field Forecasting for Next-Gen Turbines
We are seeking a highly motivated Engineering Doctorate (EngD) Researcher to lead the development of advanced wind field forecasting methods. In this role, you will help redefine how wind turbines interact with the atmosphere, directly contributing to the global energy transition.
About the Project
Wind energy is a cornerstone of the global energy transition, but increasing the sustainability of the turbines themselves is critical. The ECOWIND project focuses on an integrated strategy to extend operational lifespans and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector.
Your Role
A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines to react to the wind before it hits the blades.
Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s Frozen Turbulence Hypothesis, to estimate incoming turbulent flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation (LES) results.
Key Responsibilities:
- Develop and refine numerical algorithms for real-time wind field forecasting.
- Validate forecasting models against high-fidelity LES data and field measurements.
- Quantify the impact of predictive adjustments on turbine performance and load reduction.
- Communicate findings through technical reports and presentations to both academic and industrial audiences.
Information and application
Please submit your application before May 1, 2026, using the "Apply now" button, and include the following:
- A Curriculum Vitae, including contact details of two references.
- Bachelor's and Master's transcripts.
- Title and abstract of your Master's project/thesis.
- Proof of English proficiency (IELTS or TOEFL).
- A 1-minute video explaining why you are the ideal candidate for this position.
The intended starting date is June/July 2026.
For additional information about this position, you can contact Dr. Huseyin Ozdemir at h.ozdemir@utwente.nl.
Screening is part of the selection procedure
About the organisation
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
Want to know more
