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Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
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PhD research project in Zero Emission Technologies related to LH2 for civil aviation. The Centre for Propulsion and Thermal Power Engineering is one of the largest research and education activities
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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chip architectures, including neuromorphic and domain-specific accelerators (e.g., TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- Reconfigurable AI-Embedded Systems: Develop adaptive
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection, diagnostics, and prognostics in power generation systems. Auxiliary Power
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turbine predictive control and AI applications. 3. Conference Attendance and Networking – Funding is available for leading conferences such as WindEurope, IEEE Power & Energy Society, and the European Wind
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, diagnostics, and prognostics in power generation systems. Auxiliary Power Unit (APU) Rig: Replicates the functions of an aircraft's APU, enabling research into fault detection, diagnostics, and health
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine