83 postdoc-in-distributed-systems-and-controls-"Multiple" positions at Cranfield University
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training, covering full fees and standard bursary. The focus will be on control for hypersonic flight. The studentship will commence in October 2025. Overview Flight at hypersonic speeds is becoming
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Organisation Cranfield Airport Operations Limited Faculty or Department Cranfield Airport Operations Limited Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37.5 hours per week
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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technically sophisticated and genuinely user-friendly. This project aims to develop a comprehensive AI-driven software platform for smart sanitation systems that serves multiple user groups through tailored
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this project: • Techniques, requirements, and applications of metal additive manufacturing • Analysis of the temperatureevolution, distribution and control in wire based additive manufacturing • Calibration and
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We invite applications for a self-funded PhD to explore innovative research in the development of human-centred embodied multi-agent systems that able to compensate and augment human capabilities in
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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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Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a realistic environment
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Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental testbed and