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. The project involves the deployment of optical fibre sensor technologies for real-time evaluation of bridge integrity and performance. You will work closely with academic and industry partners to implement
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Role Description A research position is available to support research to enhance observations of human exposure to air pollution and other pollutants using sensor-based approaches. Air pollution is
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of Physics at the University of Warwick is seeking a highly motivated and talented Research Fellow to contribute to pioneering research in the development of quantum magnetic sensors and advanced imaging
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of Birmingham Background We are seeking a Research Fellow to support the development and application of quantum technology-based gravity gradient sensors. The successful candidate will focus on the analysis and
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to sensor data, diagnostics, or control optimisation. Proficiency in software development for hardware interfacing, sensor integration, and communication protocols (e.g., CAN, I2C, SPI). Ability to analyse
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behind this efficiency by developing a general model of wing mechanosensing, revealing how sensor distribution and morphology have co-evolved with flight dynamics. The successful applicant will: Measure
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simulation tools such as MATLAB/Simulink. • Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation. • Proficiency in software development
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Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration for agricultural applications Human-Robot Interaction in agricultural contexts Robotic Perception and
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables