72 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Cranfield University
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would suit candidates with a sound background in engineering, computer science, or related disciplines. Funding This is a self funded opportunity. Find out more about fees here. Diversity and Inclusion
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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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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infrastructure. This project sits at the interface of environmental engineering, water quality management, and sustainable infrastructure. This PhD project will explore how ICWs can be strengthened through design
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fees. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The role of the Finance Professional Service Unit is to ensure that all financial data is
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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strengths and interests (e.g. geospatial data science or socio-environmental modelling). Funding Sponsored by the Leverhulme Trust and Cranfield University, this Connected Waters Leverhulme Doctoral programme