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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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materials and incorporation of sensors in design. The candidate is expected to work on research projects related to the topic funded by the National Research Foundation of Singapore (NRF) and Land Transport
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to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team
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. The ideal candidate will possess some or all of the following skill sets: • Mechanical Systems (Belt, Chain, Gear Drives) • Preventative and Predictive Maintenance • AC/DC Electrical Theory • Sensor
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36 Months, Fixed Term Full-Time Post Position Summary A position has become available for a Post-Doctoral Researcher to work on a new project focused on the use of low-cost sensor networks
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), or biological sensors (sweating, ECG, etc.). These scenarios raise new scientific challenges, both in terms of modeling (intermodal alignment, joint representation, generation control) and in terms of usage
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. Measurement of optical properties of key optical components by devising ad-hoc measurements in the Optical and Optoelectronics Laboratory (OOEL); Optoelectronics: laser systems and sensors, LIDAR and laser
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. Measurement of optical properties of key optical components by devising ad-hoc measurements in the Optical and Optoelectronics Laboratory (OOEL); Optoelectronics: laser systems and sensors, LIDAR and laser
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drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework Use radiative transfer models