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Field
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Dark Matter Search with ADMX and the Quantum Sensors for the Hidden Sector Collaboration School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof E Daw Application Deadline
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Mixed Field Neutron and Gamma Ray Sensors for Precision Farming School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell, Dr Rhiannon Jones Application
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Bio-inspired micro-electromechanical sensors (MEMS) to measure high-order acoustic pressure derivatives for condition assessment of buried water supply pipes School of Electrical and Electronic
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Digital and sensor based conformance validation for large scale forged components (C4-AMR-Crawforth)
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Novel glass-based sensor technologies for wide-range, radiation hard sensing applications in nuclear fusion applications (Associate University project at Sheffield Hallam University)
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algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies during transport, and to develop statistical thresholds that balance detection
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qualifications include: 1) experience implementing Simultaneous Localisation and Mapping (SLAM) algorithms; 2) familiarity with sensor-based navigation and field trials of mobile robotic systems. For more
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physiological signals associated with bruxism in real-time. The successful candidate will focus on: Developing and refining novel wearable sensors that are flexible, comfortable, and capable of capturing subtle
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
tested will have applications for landing on other planets or moons, or even propulsive landing of rocket stages on Earth. These missions require the use of novel guidance algorithms, sensors, and control