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We have 17 Fluid Mechanics (machine learning) PhD Projects, Programmes & Scholarships

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Fluid Mechanics (machine learning) PhD Projects, Programmes & Scholarships

We have 17 Fluid Mechanics (machine learning) PhD Projects, Programmes & Scholarships

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Microbubble Coalescence in Turbulence

Supervisory Team.   Dr John Lawson. Project description. Applications are invited for a fully funded PhD position on applying computer vision (CV) and machine learning (ML) approaches to experimentally measure and model coalescence in turbulent dispersed multiphase flow. Read more

Multi Risk and Resilience

Self funded 3 year PhD, October 2024 start. This interdisciplinary project aims to enhance infrastructure resilience and sustainability using advanced numerical modelling combined with machine learning. Read more

Optimization and control of nonlinear and partial differential equations.

A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University in Tempe, AZ. Read more

Scour around coastal and offshore structures under complex wave and current conditions

A fully funded PhD project on scour around coastal and offshore structures in collaboration with HR Wallingford. Scour is the process of removing sediments from around foundations of marine structures by currents and waves. Read more

Nonlinear Aerostructural Optimisation of Boundary Layer Ingesting Fan

Supervisory Team. Prof. Ali Elham, Dr. Jie Yuan. Project description. To meet the objectives of the Paris Climate Agreement, aviation (~3% of human global CO2 emissions) must do its share. Read more

Computational aerodynamics of high speed flow over rough surfaces

Supervisory Team.   Neil Sandham. Project description. You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Read more

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