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the sensor prototype on existing test rigs at Cranfield University and benchmark with high-end commercial solutions This project has a high impact on the industry as it can lower the hardware installation and
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from motion blur, defocus, and imaging artefacts, which hinder accurate diagnosis. This project aims to restore image clarity by designing intelligent algorithms that recover fine anatomical details
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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from such machines to derive algorithms expressing their state of health and next maintenance needs. A background in both engineering and machine learning would be useful, although help is readily
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by EPSRC, BAE Systems and Cranfield University, this iCASE studentship will provide a bursary of up to £19,237 + £7,500 top-up (tax free) plus home fees* for four years.
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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