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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 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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) The University of Strathclyde has a significant depth of space research expertise across its Applied Space Technology Laboratory, the Sensor Signal Processing & Security Laboratory, and the Aerospace Centre
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from 3D joint coordinates; 2) understanding wireless transmission (semantic communication) concept. The successful candidate will also need to visit our industrial partner in the UK and EU, to do
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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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the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations from 3D joint coordinates; 2) understanding wireless transmission
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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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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operation of the umFm module unit used in vertical farm which includes handling of soil compost, irrigating of the crops and taking note of the sensors incorporation in the vertical farm inhouse. Job