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to characterise the material behaviours of thin sheets and foils (tensile, shear and creep effects) to improve the forming process and optimise process variables. Experimental methods for testing mechanical
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candidates with: ◾First or upper-second class degree in Robotics/Computer Science/Cybernetics/Mechatronics/Mechanical or related scientific discipline ◾First rate analytical and numerical skills, with a well
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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are seeking talented candidates with: First or upper second-class degree in Robotics/Mechanical/Cybernetics/Mechatronics /Computer Science or related scientific discipline. First-rate analytical and numerical
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
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modelling. This exciting project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses (and bioanalysis) of life-saving pharmaceuticals
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which