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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
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of the vibrational energy. This project is intended to perform numerical analysis and modelling aimed at the optimisation and development of effective friction dampers. The research studies on friction damping will be
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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on solitary waves and on analysing their stability. We will also extend the study to related configurations, such as ferrofluid jets under vorticity and swirl. The mathematical and numerical techniques
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. Although the PhD work will be primarily theoretical and numerical, you will collaborate closely with experimental groups capable of realising these configurations in the laboratory. By joining Dr Proment’s
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, numerical methods, molecular biology methods (e.g. cloning, PCR) and bacterial plasmid mating. How to apply This project is offered as part of the Centre for Doctoral Training in Engineering Solutions