PhD in Fluid Mechanics: KTH Royal Institute of Technology is seeking a motivated PhD student for a research project in multi-scale urban turbulence and gust dynamics. This opportunity involves integrating artificial intelligence with advanced experimental methods to study urban turbulence patterns, critical for urban planning, renewable energy, and drone operations.
PhD in Experimental Fluid Mechanics & Artificial Intelligence
Designation
PhD Student in Experimental Fluid Mechanics & Artificial Intelligence
Research Area
- Fluid Mechanics
- Urban Turbulence
- Artificial Intelligence
Location
KTH Royal Institute of Technology, Stockholm, Sweden
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Educational Background | Master’s degree or equivalent (240 higher education credits, 60 second-cycle) |
| English Language Proficiency | Equivalent to English B/6 |
| Experience | – Experimental flow measurement methods (e.g., hot-wire anemometry, Laser Doppler Anemometry, Particle Image Velocimetry) – Machine Learning (merit) |
| Personal Skills | Goal-oriented, collaborative, and ability to analyze complex issues |
Description
The PhD program will focus on understanding the intricate mechanisms of fine-scale turbulence in urban environments. The research is vital for improving drone safety, ensuring pedestrian comfort, and advancing urban wind energy strategies.
Supervision
The PhD candidate will be supervised by Ingrid Neunaber.
How to Apply
Interested candidates must apply through KTH’s recruitment system. The application should include:
- CV with relevant experience
- Application letter (maximum 2 pages)
- Copies of diplomas and grades
- Certification of language requirements
- Representative publications or technical reports (with summaries and links for longer documents)
Last Date to Apply
March 31, 2026
For further information and to apply, visit KTH’s Doctoral Studies webpage.
