PhD in Wind Farm Flow Control & Model Fusion

Delft; Netherlands; Remote; EUR 38,000 - 49,000; Full time

Job summary

TU Delft invites applications for a PhD position focused on experimental validation of wind farm flow control, integrating physics-based models with experimental data. The project emphasises Helix wake-mixing strategies, model calibration, and uncertainty quantification, with teaching tasks included.

You will work within the Faculty of Mechanical Engineering on a 4-year contract, supported by the TU Delft Graduate School, with competitive Dutch university salary and benefits.

Qualifications

• MSc in a relevant field such as systems and control, wind energy, or mechanical engineering.
• Ability to communicate effectively with peers, students, and stakeholders.
• Good programming skills in MATLAB, Python, and Git are a plus.
• Fluency in English and strong written/spoken communication.

Responsibilities

• Develop and apply data-fusion methods combining physics-based wind farm models with wind tunnel and field data.
• Calibrate and improve wind farm models, quantify uncertainties, and evaluate wake-control strategies.
• Assist with teaching activities up to 20% of the time, including supervision and mentoring.
• Contribute to dissemination of results through reports and publications.

Skills

Communication skills

English fluency

Education

MSc in systems and control

MSc in fluid dynamics wind energy

MSc in aeroelastics

Tools

MATLAB

Python

Git

Job description

TU Delft invites applications for a PhD position focused on experimental validation of wind farm flow control, integrating physics-based models with experimental data. The project emphasises Helix wake-mixing strategies, model calibration, and uncertainty quantification, with teaching tasks included.

You will work within the Faculty of Mechanical Engineering on a 4-year contract, supported by the TU Delft Graduate School, with competitive Dutch university salary and benefits.