58 linked-data "https:" "https:" "https:" "https:" "https:" "UCL" positions at Cranfield University
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drainage, excavation, drought or rewetting. Combining soil classification, LandIS legacy data, field sampling and predictive mapping, the researcher will identify where these soils occur and determine how
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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
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Join Cranfield University’s Systems Realization Group (SRG) for an MRes project combining software engineering, data science and human-centred AI. You will integrate existing research demonstrators
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repeated environmental disturbance. The data will inform a dynamic model linking weather exposure with fungal retention, recovery, release and establishment. The research will provide new mechanistic
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) batteries for transport systems. You will combine hands-on experiments with physics-based data-driven modelling to understand how Li-S batteries perform in real applications and develop suitable battery
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turbines. The research will combine physics-based modelling, artificial intelligence, structural health monitoring and real-time data integration to improve asset reliability and predictive maintenance
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interpretation. By integrating multi-view acquisition, automated registration, and data-driven surface analysis, the research aims to separate localised deposition error from thermal distortion and enable
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provides rich datasets with well resolved spatial and temporal measurements. The overall aim of this PhD project is to develop the next generation of advanced data analysis and characterisation methods for
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Business Intelligence Analyst to play a key role in providing the strategic data and insights required to measure and optimise University performance. The successful candidate will lead the
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. Advanced sensors, artificial intelligence and digital engineering are transforming the way offshore assets are operated, enabling predictive maintenance, sustainability assessment and data-driven