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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any
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generation of eco-intelligent electronics that balance performance, longevity, and environmental impact. The multidisciplinary nature of this PhD ensures that students develop deep expertise in energy-aware
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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. The successful candidate will be based at [university] and throughout their PhD will benefit from the support and expertise of our diverse academic community, a community of students working towards similar goals
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are recruiting a motivated PhD candidate to undertake an exciting project within the EPSRC Energy Transfer Technologies Doctoral Training Hub. As a student of the Hub, you will receive an enhanced stipend
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This is a fully funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with EPSRC, Rolls-Royce and Cranfield University. Further improvements in the aerodynamics and design
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details