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student. We require that applicants are under no restrictions regarding how long they can stay in the UK. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model
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This research project focuses on developing a human-centric AI-driven smart sanitation platform for community toilet systems as part of the Gates Foundation's global health initiative. Students will
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more adaptive and resilient water infrastructure systems, ensuring the long-term viability and security of water resources for future generations. Additionally, as part of the CDT WIRe, students will
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(typically dams, irrigation systems and reservoirs for hydropower production). As part of a UKRI/NERC Belmont Forum consortium funded project working with collaborators including Stanford University US, The
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Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network
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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
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” highly flexible components and ensure their energy harvesting capabilities. This project will contribute to ambitious plans for SBSP as a vital part of the future Net Zero landscape. Recent advances in
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travel to partner meetings as required. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued
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it be in Industry or Academia. At a glance Application deadline24 Sep 2025 Award type(s)PhD Start date26 Jan 2026 Duration of award3 years full time or 6 years part time EligibilityUK, Rest of world