EngD Position: LiDAR-Assisted Wind Field Forecasting for Next-Gen Turbines

University of Twente (UT), Netherlands

Updated: 2 days ago
Deadline: 30 Apr 2026

3 Apr 2026
Job Information
Organisation/Company

University of Twente (UT)
Research Field

Engineering » Aerospace engineering
Engineering » Mechanical engineering
Technology » Remote sensing
Researcher Profile

Recognised Researcher (R2)
Application Deadline

30 Apr 2026 - 21:59 (UTC)
Country

Netherlands
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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.

Where to apply
Website
https://www.academictransfer.com/en/jobs/359871/engd-position-lidar-assisted-wi…

Requirements
Specific Requirements
  • Education: A Master’s degree in Mechanical Engineering, Aerospace Engineering, Physics, or a related discipline.
  • Technical Skills: Experience with numerical algorithms and scientific software development.
  • Tools: Proficiency in Python (or similar) and/or wind turbine simulation software (e.g., OpenFAST).
  • Mindset: A "design-to-prototype" approach, eager to apply complex theoretical models to real-world industrial challenges.
  • Soft Skills: Excellent written and verbal communication skills; a proactive, collaborative, and creative approach to problem-solving.

Additional Information
Benefits
  • Full-time 2-year EngD position with a tailor-made post-master design program that has an educational component (50%) as well as a design project (50%).
  • Access to a dynamic, high-quality, and collaborative research environment equipped with state-of-the-art facilities at the forefront of additive manufacturing research.
  • Opportunities for personal and professional growth within the interdisciplinary field of additive manufacturing and smart materials.
  • Excellent working conditions in an exciting scientific environment, set in a green and lively campus.
  • Dedicated mentorship and access to top-notch facilities.
  • Inclusion in a professional and personal development program within Graduate School Twente.
  • A salary of €3.029,- gross per month
  • Holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.
  • Minimum of 29 holidays per year for full-time employment.
  • Full employee status at the University of Twente, including pension and healthcare benefits.

Additional comments

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


Website for additional job details

https://www.academictransfer.com/359871/

Work Location(s)
Number of offers available
1
Company/Institute
Universiteit Twente
Country
Netherlands
City
Enschede
Postal Code
7522NB
Street
Drienerlolaan 5
Geofield


Contact
City

Enschede
Website

http://www.universiteittwente.nl/
Street

Drienerlolaan 5
Postal Code

7522 NB

STATUS: EXPIRED

  • X (formerly Twitter)
  • Facebook
  • LinkedIn
  • Whatsapp

  • More share options
    • E-mail
    • Pocket
    • Viadeo
    • Gmail
    • Weibo
    • Blogger
    • Qzone
    • YahooMail


Similar Positions