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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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develop probabilistic guarantees that quantify uncertainty in human preference alignment while ensuring robustness against adversarial conditions. The ability to mathematically verify AI alignment has
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. This PhD project aims to predict what these gigantic waves look like when they appear in the middle of the ocean, where many nonlinear effects take place, such as Benjamin-Feir Instability, spreading
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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings, a promising
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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Cranfield University and Magdrive, offer a fully funded PhD position under the umbrella of the R2T2 consortium to study the optimisation of their thruster for a kick stage. R2T2 is a UKSA-funded
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replacement) project on Limits of Symmetric Computation. The position would suit a candidate seeking to obtain a PhD at the Department. The project seeks to investigate lower bounds on symmetric computation in
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in Geography, Environmental and Earth Sciences. This PhD scholarship is suitable for students with a background in oceanography/marine science, physics, physical/environmental sciences, mathematics
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in inks, surfactants added to crop sprays to improve jetting, wetting, adhesion, and bodily fluids with polymeric components. This PhD project aims to explore how such additives affect micromechanics