Computer Science (computational fluid dynamics) PhD Projects, Programmes & Scholarships

We have 7 Computer Science (computational fluid dynamics) PhD Projects, Programmes & Scholarships

Mathematical and Computational Modelling of Haemodynamics for Cerebral Aneurysm Progression

Sheffield Hallam University Materials and Engineering Research Institute

The Industry and Innovation Research Institute (I2Ri) draws on talents, expertise and facilities across Sheffield Hallam University. Read more

Supervisors: Dr JS Spendlove, Prof AS Shenfield, Dr XX Xu, Prof I Halliday

10 May 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

More Details

Wake and power prediction of floating offshore horizontal-axis wind farms with machine learning (Ref: RDF24/EE/MCE/ERFANIAN)

Northumbria University Faculty of Engineering and Environment

Offshore wind turbines play a pivotal role in enhancing energy security by diversifying the energy mix and reducing dependency on fossil fuels, which are often subject to geopolitical tensions and market volatility. Read more

Supervisors: Dr M Erfanian Nakhchi Toosi, Dr M Rahmati

23 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

More Details

Last chance to apply

Numerical modelling of multiphase flow and reactive transport in porous materials

Heriot-Watt University School of Energy, Geoscience, Infrastructure and Society

Understanding reactive transport in porous materials is of utmost importance for a wide range of engineering applications, including subsurface energy storage, low-carbon building materials and fuel cells. Read more

Supervisor: Dr J Maes

26 April 2024 PhD Research Project Funded PhD Project (Students Worldwide)

More Details

Machine Learning models for subgrid scales in turbulent reacting flows

University of Southampton Faculty of Engineering and Physical Sciences

Supervisory Team: Temistocle Grenga, Ed Richardson. Project description. Read more

Supervisor: Dr T Grenga

31 August 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

More Details

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisors: Dr M Bosy, Dr G Hunter

Year round applications PhD Research Project Self-Funded PhD Students Only

More Details

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

The University of Manchester Department of Mechanical, Aerospace and Civil Engineering

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

Supervisor: Dr A Harish

30 June 2024 PhD Research Project Funded PhD Project (UK Students Only)

More Details

Climate-Optimised Aircraft Design

University of Southampton Faculty of Engineering and Physical Sciences

Supervisory Team: Edward Richardson; Ali Elham. Project description. The condensation trail (contrail) emissions of future low-CO2 aircraft will be assessed as part of a climate-optimised aircraft design methodology. Read more

Supervisor: Dr E.S. Richardson

31 August 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

More Details

We have 7 Computer Science (computational fluid dynamics) PhD Projects, Programmes & Scholarships

Computer Science (computational fluid dynamics) PhD Projects, Programmes & Scholarships

We have 7 Computer Science (computational fluid dynamics) PhD Projects, Programmes & Scholarships

Mathematical and Computational Modelling of Haemodynamics for Cerebral Aneurysm Progression

Wake and power prediction of floating offshore horizontal-axis wind farms with machine learning (Ref: RDF24/EE/MCE/ERFANIAN)

Numerical modelling of multiphase flow and reactive transport in porous materials

Machine Learning models for subgrid scales in turbulent reacting flows

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

Climate-Optimised Aircraft Design

Select your nearest city

Do you want hassle-free information and advice?