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Field
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applications. The focus is on intelligent sensor systems that efficiently acquire, process, and evaluate data—even under demanding operating conditions. Working in interdisciplinary teams, we combine scientific
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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functionalisation strategies, and cutting-edge characterisation techniques (including Manchester Met’s unique in-situ electrochemical-AFM-nanoRaman (TERS) system) to optimise sensor performance. The research will
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on the development of new sensor concepts, their experimental characterisation, the development of suitable methodologies and systematic validation under realistic operating conditions. This includes the setup
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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mobile pigs. By integration sensor data and behaviour obervation, we aim to establish signatures and indicators of sleep and wakefulness in domestic pigs during passive periods. We are now looking for a
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catheter probe based magnetic sensors for biological applications. To perform quantum sensing, we optically read-out the NV centre's electron spin state to quantify the perturbing effect of nearby
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new iFlux sensor prototype to measure real-time groundwater fluxes in the field is a promising technique, but is a