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candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. Understanding and predicting fluid flow is essential
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of two-dimensional quantum fluids such as superfluid helium and Bose–Einstein condensates. This PhD forms part of an international research project in collaboration with theoreticians at the University
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) and heat for geothermal projects. Deep crustal fluid flow and the resulting fluid-rock reactions that mobilise heat and metals into the fluids are key to its potential as an economic resource. However
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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developed during this work will deepen our understanding of nonlinear wave phenomena in fluid mechanics and contribute to the broader theory of interfacial flows. This PhD project is in a competition for a
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
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. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
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Nagaraj: M.Nagaraj@leeds.ac.uk Project summary Liquid crystals are ordered fluids which display birefringence and dielectric anisotropy. These properties allowed them to revolutionise display technologies
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flows, and to have developed skills in experimental fluid mechanics, statistics, data processing, machine learning, and mathematical modelling. Supervisors: Dr Kostas Steiros Duration: 3.5 years. Funding