PhD in Deep Learning Latent Dynamics for Complex Aerospace Systems University of Southampton in United Kingdom

Inria Saclay is advertising a postdoctoral research visit in robust optimisation of bifurcation diagrams for flutter design . The project sits at the intersection of mechanical engineering , applied mathematics , non-linear dynamics , uncertainty quantification , robust optimisation , and aeroelasticity , with a strong computational and modelling component. The postdoc will work in the PLATON project-team at Inria Saclay , in collaboration with Center for Applied Mathematics (CMAP), École Polyte...

Fully Funded PhD Studentship in Automotive Aeroacoustics, CFD and AI at the University of Bristol, in collaboration with Jaguar Land Rover through the EPSRC Centre for Doctoral Training in Sustainable Sound Futures. The project, Quiet Efficiency: Reducing Wind Noise for Low Drag Cars (Br.27.3), investigates how advanced computational fluid dynamics and artificial intelligence can support the design of quieter, more aerodynamically efficient vehicles. Research will combine large-eddy simulation, ...

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...

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...

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...