PhD: Experimental Validation of Wind Farm Wake Control

TU Delft; Delft; Sur place; EUR 36 000 - 45 000; Plein temps

Avantages offerts par ce poste

Holiday allowance

End-of-year bonus

Relocation assistance

Customisable compensation

Résumé du poste

TU Delft in Delft invites applications for a PhD candidate to develop data-fusion methods combining physics-based wind farm models with wind tunnel and field data, to improve predictive capabilities and evaluate wake-mixing strategies.

The project bridges wind farm aerodynamics, advanced control and data-driven modelling, with a focus on combining physical knowledge with measurements. Teaching activities will be part of the PhD trajectory, capped at 20% of time.

Qualifications

• MSc degree in systems and control, wind energy, aeroelastics, mechatronics, applied mathematics, mechanical engineering, or related field.
• Strong communication with peers, students and stakeholders.
• Good programming skills: MATLAB, Python, Git. Fluency in English.

Connaissances

Communication skills

English fluency

Team collaboration

Formation

MSc in systems and control / related field

Outils

MATLAB

Python

Git

Description du poste

TU Delft in Delft invites applications for a PhD candidate to develop data-fusion methods combining physics-based wind farm models with wind tunnel and field data, to improve predictive capabilities and evaluate wake-mixing strategies.

The project bridges wind farm aerodynamics, advanced control and data-driven modelling, with a focus on combining physical knowledge with measurements. Teaching activities will be part of the PhD trajectory, capped at 20% of time.