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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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-modal fusion 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
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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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