PhD in Aerodynamics

Noise production by turbulent boundary layers is an important practical problem that remains a challenge for prediction methods. On this industry-supported project you'll apply new techniques of large-scale numerical simulation and machine learning to understand the flow physics and develop new prediction methods./nThe project relates to a challenging flow regime in which simultaneously the Reynolds number is large, but the Mach number is small, and we need to predict acoustic properties that may have small energy compared to the hydrodynamics. We are interested in developing efficient simulation techniques based on scale-resolving methods and improving prediction methods, including new data-driven methods. The project is particularly attractive as it is supported by industry (Thales Group) with opportunities for company placements and will include a top-up to the basic stipend./nYou'll be based in the Department of Aeronautics and Astronautics at the Boldrewood Innovation Campus in Southampton. You'll gain experience with exascale-level high performance computers based on modern heterogenous GPU/CPU architectures, large data processing techniques and modern machine learning methods, and have opportunities to present your work and take advanced modules.