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the research project - “PolyU-Stanford Joint Research Centre for Longitudinal Deep Omics (LDO)”. He/She will be required to: (a) develop and optimise deep learning and causal discovery algorithms to identify
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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-D Modelling, Sensing, and Data Intelligence (3MSI) for urban greenery management” in developing algorithms to monitor urban vegetation using LiDAR / remote sensing technology. He/She will be required
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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assessment”. They will be required to: (a) conduct advanced research on multi-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c
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techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
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) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish research findings in peer-reviewed journals and
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) assist in the design and implementation of the Radio Frequency signal platform; (b) assist in developing innovative RF sensing algorithms; and (c) assess the performance of new Internet of Things