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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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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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Manufacturing causes 20% of carbon emission globally and consumes about 54% of global energy generation – this means large scale manufacturers need to understand and address their carbon emission
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CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing PhD
MSc and PhD research, and its rolling technology development programme on large-scale additive manufacturing. This project will have close links to EPSRC research programme of Sustainable Additive
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of operating conditions. The analysis will be undertaken using multi-fidelity tools ranging from reduced order models to high-fidelity computational fluid dynamics (CFD). Applications are invited for a PhD
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its
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Though portable IR sensors exist in the market, there is no system currently in place to use these sensors to perform active thermography inspection. This PhD project aims to develop a IoT based
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This is an exciting opportunity for a fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University, to develop an autonomous multi-robot system
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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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Methane is a major greenhouse gas and so contributes to climate change. Cranfield and SLB are offering an iCASE PhD studentship, developing modelling methods to couple with observations of methane