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- “Light beam-guided training system with computer vision for track time events”. He/She will be required to develop and perform testing of a light beam-guided training system with computer vision for track
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project - “Online quality measurement for ultra-precision milling based on high-speed active vision”. Qualifications Applicants should have a doctoral degree with at least three years of postdoctoral
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Sensing, GISci, Computer Science, Statistics, Data Science, Computer Vision, Machine Learning, Geography, Urban Planning, Sustainability, Urban Science, Geoscience, Environmental Science, Ecology
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Department of Computing / Department of Land Surveying and Geo-Informatics Assistant Professor (Ref. 241206018) (Joint appointment between Department of Computing and Department of Land Surveying
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strong and individualistic vision of the challenges facing modern urban environments and the opportunities afforded by emerging technologies to address them. Duties The appointee will be required to: (a
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should have expertise in quantum computing, communication, and metrology. Candidates should be able to clearly articulate a vision for advancing departmental research in microphotonics/microelectronics and