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Field
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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Funding Source: EPSRC DTP Sponsor Company: Roxel Ltd Start Date: 1/10/2025 Project Page – Centre Project Overview The aim of this PhD is to investigate RAM formulation chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties...
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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abundancy). Protein identification methods are not easily translated into a point-of-care (POC) testing given the laborious, time-consuming and sophisticated nature of currently available techniques. A POC
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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Overview Want to make a difference protecting children? We’re seeking a passionate, innovative student to tackle a critical challenge: preventing and reducing infectious intestinal disease (IID) in nurseries. As disease hotspots, current approaches often fail. The Problem: IIDs like...
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of navigation, AI-enhanced signal and data analysis, and wireless communication systems, with applications in
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dynamically combine trusted and opportunistic signals. This project aims to develop versatile benchmarks for assured multi-domain PNT systems with advanced integrity frameworks, enabling rigorous evaluation and
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mix will include clean energy resources, mostly variable renewable energy resources, and nuclear. Second, the electricity demand is expected to double to accommodate newly electrified energy uses