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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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Republic of Korea | 14 days ago
-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
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POTENT project, we are working with Living Lab Networks including academic and industrial partners and ports to accelerate the green energy transition by investigating the use of ports as energy hubs
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different data collection methods and sensors used to gather road condition data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data
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of Standards and Technology, The Department of Energy, and the National Aeronautics and Space Administration. Development and application of quantum sensors is an area of research in which maintaining a position
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and