Fully Funded PhD in Automotive Aeroacoustics, CFD and AI at the University of Bristol University of Bristol in United Kingdom

PhD opportunity at the University of Southampton in high-fidelity CFD for fan/OGVs broadband noise modelling , hosted in the Rolls-Royce University Technology Centre (UTC) in Propulsion Systems Noise at the Institute of Sound and Vibration Research (ISVR) . This project focuses on aeroacoustics , computational fluid dynamics , fluid mechanics , and mathematical modelling for Ultra High Bypass Ratio (UHBR) aeroengines . The research will use Large Eddy Simulation (LES) or Detached Eddy Simulation...

Queen Mary University of London is advertising a Postdoctoral Research Associate in GPU LES and Aeroacoustics within the School of Engineering and Materials Science (Faculty of Science & Engineering). This is a 12-month, full-time post based in London, United Kingdom , supporting a highly competitive grant-funded R&D project with GPU-Prime Ltd under the SME ATI programme. The project focuses on developing and validating a GPU-native Large Eddy Simulation (LES) toolchain for unsteady aerodynamics...

PhD opportunity at the University of Southampton in Scientific Machine Learning for Fluid Dynamics and Hydraulics . This project focuses on Physics-Informed Neural Networks (PINNs) and their use as efficient alternatives to traditional computational fluid dynamics methods. The research aims to develop and optimise scientific machine learning approaches for problems in fluid mechanics and hydraulics , including fast flood modelling, alternative Navier-Stokes solvers, and fluid-structure interacti...

University of Southampton is advertising a competition-funded PhD project titled “Genuinely high-order discretisation of Navier-Stokes equations using machine learning and its application to turbomachinery aeroacoustics.” The project sits in the Faculty of Engineering and Physical Sciences and focuses on computational fluid dynamics , Navier-Stokes equations , high-order discretisation , machine learning , neural networks , and turbomachinery aeroacoustics . The research aims to build a more sta...

PhD studentship at the University of Arizona on DNS of hypersonic boundary-layer transition . The project uses high-fidelity Direct Numerical Simulations (DNS) to study stability and laminar-turbulent transition in boundary layers at hypersonic speeds ( M = 4 to 14 ). Research topics include the physical mechanisms governing the linear and nonlinear stages of transition, breakdown to turbulence, and the investigation of promising flow-control methods using high-fidelity DNS. The position is well...