Electronics cooling is critical to the reliable performance of a vast array of todays technologies including datacentres, electric vehicles, avionics, telecommunications to name only a few. Pertinent to this is the accurate prediction of fluid flow and heat transfer. Analyses range from below chip to data centre levels, requiring multi-fidelity Computational Fluid Dynamics (CFD) methods. Suitable methods based around Large-Eddy Simulation (LES) and immersed boundary methods (IBMs), with wide application will be developed. These will be used to assess and improve heat transfer prediction by understanding the physical mechanisms responsible and to build datasets for machine learning. Suitable candidates would have a degree in Mechanical or Aerospace Engineering, or Mathematical modelling related subjects. Simulations and data analysis will utilise efficient parallel computations on CPUs and GPUs on High Performance Computing (HPC) facilities.
Funding Notes
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)
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