Are you captivated by the intricacies of fluid mechanics, the complexities of turbulence, the power of high-performance computing, and the potential of wind energy? If you’re passionate about pioneering research and
eager to be part of a dynamic team, we have an exciting opportunity for you. We’re seeking an enthusiastic PhD candidate to explore how dynamic shifts in atmospheric conditions throughout the day influence wind farm
performance. This project challenges you to delve into the impact of time-dependent atmospheric changes, going beyond traditional simulations for stationary atmospheric conditions.
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES to investigate the interaction among clouds on wind farm performance and atmospheric transport processes. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in pushing the boundaries of wind energy fluid mechanics research!
Information and application
To apply, please submit your application by the button below, this should include:
- A cover letter highlighting your specific interests, qualifications, and motivation for this position.
- A detailed CV (resume).
- An academic transcript of BSc and MSc education, including grades.
- Contact information of two academic references who are willing to provide a recommendation.
We are committed to fostering diversity and inclusion at our university and do not discriminate based on race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities during the application process, interviews, and employment. Please contact us to request accommodation.
