PhD in Wind Farm Flow Control & Data Fusion

Delft University of Technology; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

Delft University of Technology invites applications for a PhD position on Experimental Validation of Wind Farm Flow Control. You will develop data‑fusion methods that combine physics‑based wind farm models with wind tunnel and full‑scale data to improve predictions, quantify uncertainties, and evaluate Helix and related wake‑control strategies.

The project spans wind‑farm aerodynamics, advanced control, system identification, and data‑driven modelling.

Qualifications

• MSc. in systems/control, wind energy, aeroelastics, mechatronics, applied mathematics, mechanical engineering, or related field.
• Ability to communicate effectively with peers, students and stakeholders.
• Good programming skills: MATLAB, Python, Git.
• Fluency in English.
• Open personality and good communication in English (written and spoken).

Responsibilities

• Develop data-fusion methods combining physics‑based wind farm models with wind tunnel and field data.
• Calibrate models, quantify uncertainties, and evaluate wake‑control strategies like Helix.
• Bridge wind farm aerodynamics, advanced control, system identification, filtering, and data‑driven modelling.
• Teaching activities may include supervising workgroups, assisting in courses, or mentoring BSc/MSc students (up to 20%).

Skills

Communication skills

English fluency

Team collaboration

Education

MSc in systems and controls / wind energy / aeroelastics / mechatronics / applied mathematics / mechanical engineering

Tools

MATLAB

Python

Git

Job description

Delft University of Technology invites applications for a PhD position on Experimental Validation of Wind Farm Flow Control. You will develop data‑fusion methods that combine physics‑based wind farm models with wind tunnel and full‑scale data to improve predictions, quantify uncertainties, and evaluate Helix and related wake‑control strategies.

The project spans wind‑farm aerodynamics, advanced control, system identification, and data‑driven modelling.