Postdoctoral Researcher: High-Fidelity LES & Atmospheric Boundary Layer Modeling

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
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
The ECOWIND project focuses on an integrated strategy to extend the operational lifespan 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. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology.
Your Mission: Advanced LES & Research Leadership
As a Postdoc, your primary focus will be the application and further development of open-source LES methods (e.g., OpenFOAM, SU2) to simulate a wide range of Atmospheric Boundary Layer (ABL) conditions.
Your work will provide the "ground truth" for the project. By simulating complex inflow conditions, you will create the high-fidelity datasets required to validate the Wind Field Forecasting (WFF) models developed within the team.

  • LES Development & Application: Implement and extend open-source LES codes to simulate diverse ABL scenarios, including varying stability, shear, and turbulence intensities.
  • Collaboration & Mentoring: Work closely with the project’s EngD researcher, providing the LES-generated data and expertise needed for the development of LiDAR-assisted forecasting methods.
  • Methodological Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions.
  • Scientific Impact: Lead the authoring of high-impact journal publications and present findings at major international conferences (e.g., Wind Energy Science, WESC).
  • Consortium Engagement: Act as a key scientific liaison within the ECOWIND consortium, translating complex CFD results into actionable insights for structural and control engineers.

Where to apply
Website
https://www.academictransfer.com/en/jobs/359872/postdoctoral-researcher-high-fi…

Requirements
Specific Requirements
  • Education: A PhD in Mechanical Engineering, Aerospace Engineering, Atmospheric Science, or a related field with a strong focus on Computational Fluid Dynamics (CFD).
  • Technical Expertise: Deep experience in Large Eddy Simulation (LES) and a solid understanding of Atmospheric Boundary Layer (ABL) physics.
  • Programming: Strong proficiency in C++, Fortran, or Python, and experience working in High-Performance Computing (HPC) environments.
  • Soft Skills: Proven track record of scientific publishing and the ability to mentor junior researchers (EngD/PhD students).
  • Mindset: An analytical, independent, and collaborative researcher who enjoys solving complex multi-scale problems.

Additional Information
Benefits
  • 1.5 years full-time Post-Doc position, preferably executed part-time and spread over the duration of the ECOWIND project (until May 2028).
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
  • You will receive a gross monthly salary ranging from € 4.241,- to €5.538,-
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
  • Free access to sports facilities on campus.
  • Excellent career support and courses for your professional and personal development.
  • A family-friendly institution that offers parental leave (both paid and unpaid).
  • A green campus with free access to sports facilities and an international scientific community.

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/359872/

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

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