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Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions
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the project leader in the research project - “GNSS/5G/LEO Joint direct positioning: theoretical modelling, algorithm development, and performance evaluation in city areas”. Qualifications Applicants should have
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project - “Oracle complexity bounds of first-order methods for nonsmooth optimization with nonconvex function constraints”. They will be required to conduct theoretical analysis, algorithm implementation
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-pass surveying; (b) develop and deploy vision / AI algorithms, including implementation on embedded platforms; (c) carry out data collection, flight experiments and analysis; and (d) assist in
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project - “Safe-assured learning-based deep SE(3) motion joint planning and control for unmanned aerial vehicles”. He/she will be required to: (a) assist in literature review, data collection, algorithm
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation
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the research project - “Trustworthy quantum algorithms for security-constrained engineering optimization problems”. Qualifications Applicants should have a master’s degree or a good honours degree with three
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system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms for signal processing and user intent decoding; (c) work with a Generative AI (GenAI
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regulation”. The appointees will be required to: (a) develop multi-agent systems; (b) assist in recommendation, payment and regulation algorithm design; (c) provide support in experimental result
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) background and experience 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