About the project
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.
The 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.
On this project you'll gain experience with state-of-the-art simulation methods, using exascale-level high performance computers, based on modern heterogenous GPU/CPU computer architectures, and gain experience with large data processing techniques as well as modern machine learning methods, for example based on neural networks. You'll join a team of researchers studying problems in high and low speed flows using scale-resolving simulation techniques, including all aspects of transition and turbulent flow and aeroacoustics.
You'll be based in the Department of Aeronautics and Astronautics at the Boldrewood Innovation Campus in Southampton, benefiting from a large community of PhD and post-doctoral researchers. You'll have opportunities to present your work internally as well as to attend and present at international conferences. Training will be provided to get you up to speed in running the code-generation framework to generate code for high performance computer applications. You'll also be able to take advanced modules to further develop your skills.
The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
