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propulsion systems to maximise efficiency, ensure safe operation, minimise emissions and maximise component and system life. The researcher will join a diverse and inclusive team at Cranfield University
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and Manufacturing at Cranfield University sponsored by EPSRC and a UK defence prime. Human-machine teaming has become a critical topic with advancements in AI and autonomous systems, yet challenges
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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial intelligence (AI) algorithms for SHM system integration. The research will focus on early...
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. The researcher will join a diverse and inclusive team at Cranfield University that focuses on the development, integration and evaluation of novel aircraft systems and technologies with emphasis on Engineering Net
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is one of eight major themes at Cranfield University. The manufacturing capability is world-leading and combines a multi-disciplinary approach that integrates design, technology and management
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Location: Cranfield University Supervisors: Professor Panos Laskaridis We are offering a fully funded PhD studentship in collaboration with BAE Systems, providing a unique opportunity to work with a
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at international conferences (e.g., Biosensors Congress). Cranfield University are leading a UK water and wastewater network, as well as involved water sensors network, involving academic, industrial and public
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Discontinuous Galerkin/Finite Volume unstructured methods for hypersonic interactions using the Cranfield University high-order UCNS3D code. The research is funded through EPSRC, UK MoD and Cranfield University
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By using sophisticated algorithms to detect small changes in the retina’s structure, researchers hope...