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and AI based approaches to analyse scenarios across complex transport and manufacturing systems and identify improved operational, technological, and investment strategies. The work will consider
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. The overall project addresses a critical challenge in the UK’s Connected and Automated Mobility (CAM) sector: delivering robust, cost-effective perception systems capable of safe operation in complex, real
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exploring the structure and function of complex environmental systems. About the Role This is a Research Fellow role embedded within a major externally funded research programme in soil science. You will lead
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researchers with expertise in X-ray and synchrotron imaging to play a leading role in cutting-edge research exploring the structure and function of complex environmental systems. About the Role This is a
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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25 Jul 2026 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Biological sciences Chemistry Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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25 Jul 2026 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Biological sciences Environmental science Geosciences Researcher Profile Recognised Researcher (R2) First Stage