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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
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based