76 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Cranfield University
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6 Jan 2026 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Environmental science Researcher Profile First Stage Researcher (R1) Recognised
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6 Jan 2026 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Environmental science Researcher Profile First Stage Researcher (R1) Recognised
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process as a technology that co-produces low-carbon hydrogen and quality-differentiated solid carbon. The novelty is conceptual and empirical: it embeds engineering yields and grade formation into a
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We invite applications for a self-funded PhD to advance trustworthy embodied autonomous vehicle systems through the integration of foundation models and human-centred design. This research will
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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Organisation Cranfield University Faculty or Department Finance Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working
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image correlation is an effective tool to characterize material properties. The analysis of the images can provide a fair assessment about the changes in material behaviour under different operational
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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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nutrient removal with biodiversity benefits. Optimising these systems is critical to enhance their environmental performance, support regulatory compliance, and contribute to resilient, low-carbon water
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage