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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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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be an advantage. Funding The Centre of Propulsion and Thermal
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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discussions have identified two target applications: (1) A prototype single house systems and (2) a design for potential inclusion in RHS Wisely whereby greywater recycling enables the garden to no longer need
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establish how different PFAS chemicals interact with organic matter and other contaminants in the water. This will be achieved by measuring the partitioning of PFAS onto sorbents and observing how
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, mechanical engineering, or physics background. Experience of experimental fluid dynamics, imaging system instrumentation or particle image velocity would be an advantage. As part of this role you may be