PhD: Wind Farm Flow Control — Experimental Validation

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

Job summary

TU Delft (Delft University of Technology) invites applications for a PhD position on Experimental Validation of Wind Farm Flow Control. You will develop data-fusion methods combining physics-based wind farm models with wind tunnel and field data to improve predictive capability and assess wake-mixing strategies.

The project spans wind farm aerodynamics, advanced control, system identification, filtering and data-driven modelling, with teaching activities not exceeding 20% of the appointment.

Qualifications

• MSc degree in a related field such as systems and control, fluid dynamics, wind energy, or mechanical engineering.
• Strong communication with peers, students and stakeholders.
• Good programming skills: MATLAB, Python, Git; English fluency.
• Open personality and good written/spoken communication in English.

Responsibilities

• Develop data-fusion methods combining physics-based wind farm models with wind tunnel and field data.
• Quantify model uncertainties and assess wake-mixing and control strategies.
• Teach activities up to 20% of the appointment and mentor students.

Skills

Effective communication

Programming skills

Fluency in English

Education

MSc in Systems & Control

Tools

MATLAB

Python

Git

Job description

TU Delft (Delft University of Technology) invites applications for a PhD position on Experimental Validation of Wind Farm Flow Control. You will develop data-fusion methods combining physics-based wind farm models with wind tunnel and field data to improve predictive capability and assess wake-mixing strategies.

The project spans wind farm aerodynamics, advanced control, system identification, filtering and data-driven modelling, with teaching activities not exceeding 20% of the appointment.