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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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the requirements of distributed LLM inference at collaborative edge environment; (b) design the system model of collaborative edge AI for distributed LLM inference; (c) design algorithms and
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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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Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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, mechanobiology, biophysics, bio-inspired or bio-mimicking devices and algorithms; or advanced technologies such as those for advanced bio-manufacturing, diagnostics and advanced therapeutics, in relation
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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