PhD Student in Wind Energy

Job summary

A PhD candidate is sought to explore the nonlinear interactions in turbulent flow structures affecting wind turbine wake dynamics. The research will involve fluid mechanics, high-fidelity simulations, and data-driven modeling to enhance understanding of wind turbine wake behavior under realistic atmospheric conditions.

Qualifications

• Background in engineering, physics, or a related field.
• Knowledge of fluid mechanics, turbulence, boundary-layer flows, and wake aerodynamics.
• Familiarity with dynamical systems.
• Experience with data-driven methods, such as Proper Orthogonal Decomposition (POD) and autoencoders.
• Proficient in handling large datasets and scientific programming, particularly in Python.
• Strong communication skills in English.
• Positive attitude, critical thinking, and eagerness to learn.
• Must possess a two-year master's degree (120 ECTS points) or equivalent.

Responsibilities

• Conduct CFD simulations of wind turbine wake aerodynamics under various conditions.
• Evaluate different data-driven methods for accuracy and efficiency in modeling wake aerodynamics.
• Perform uncertainty quantification and validate models against experimental and CFD results.
• Provide physical interpretations of developed models.
• Participate in scientific conferences and publish research findings.

Education

• A two-year master's degree (120 ECTS points) or equivalent is required.

Tools

• Experience with scientific programming languages, particularly Python, is essential.