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equivalent in a related discipline. Funding This is a self funded opportunity. Find out more about fees here. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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instrumentation for acoustic flow measurements, sensitivity to intake operating conditions and the exploration of data analysis methods to improve the overall measurement system accuracy. It will also include
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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, academia, government, and policy. The interview process is composed of two interviews. Following a first introductory interview (20min), a second online (or face to face if preferred) interview will be
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we will be interviewing as applications are received. This vacancy may be filled before the closing date so early application is strongly encouraged. For further information about application please
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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in Vehicle Mobility in the Centre for Defence Engineering and Physical Science (CDE) at Cranfield University. Mr Kumar is the course director for MSc in Expeditionary Warfare Systems Engineering and
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NbS including treatment wetlands (TWs) and sustainable drainage systems (SuDs) at water recycling centres and within individual surface water catchment areas, respectively. These systems offer
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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