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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5153 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
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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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Framework Programme? Not funded by a EU programme Reference Number 5151 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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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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development of large data and the associated interrogation techniques, data visualisation through various reporting mediums. You will be responsible for: The manual and computational capture and recording
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working
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Framework Programme? Not funded by a EU programme Reference Number 5122 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It