Postdoc in Experimental Aerodynamics & Flow Visualization

Delft; Netherlands; Remote; EUR 28,000 - 39,000; Full time

Job summary

The Aerodynamics group at Delft University of Technology invites applications for a PhD position focused on transforming flow field measurements into aerodynamic forces by pressure and friction. You will work on advanced non-intrusive measurement techniques and large-scale 3D particle tracking in wind tunnel contexts.

The project spans experimental fluid mechanics, optics, and data analysis, with opportunities to apply flow modelling and machine learning.

Qualifications

• PhD in aerospace/mechanical engineering or applied physics.
• Demonstrated ability to conduct research in experimental fluid mechanics.
• Proven competence on flow measurement techniques and PIV.
• Familiarity with optics, lasers, image processing and statistical data analysis.
• Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows.
• Aptitude for team work and excellent communication skills in spoken and written English.
• Ability to supervise students or early-stage researchers.
• Affinity with data processing techniques and programming (Matlab and/or Python).
• Hands-on with laboratory work, skilled in experimental design.
• Creativity, assertive attitude, and perseverance.

Responsibilities

• Advance techniques for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling.
• Oversee the application of helium-filled soap bubbles as flow tracers up to the supersonic regime.
• Collaborate with TU Delft Aerodynamics group on industrial wind tunnel projects.

Skills

PIV

Flow visualization

Experimental fluid mechanics

Laser optics

Python

Matlab

Teamwork

English communication

Education

PhD in aerospace/mechanical engineering or applied physics

Tools

PIV equipment

Image processing

Job description

The Aerodynamics group at Delft University of Technology invites applications for a PhD position focused on transforming flow field measurements into aerodynamic forces by pressure and friction. You will work on advanced non-intrusive measurement techniques and large-scale 3D particle tracking in wind tunnel contexts.

The project spans experimental fluid mechanics, optics, and data analysis, with opportunities to apply flow modelling and machine learning.