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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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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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in Spring 2027. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network
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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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-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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- “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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have teaching and research experience in one or more of the following areas: the comparative design, governance, and implementation of AI or other frontier technologies, current and future algorithmic
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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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implementation of AI or other frontier technologies, current and future algorithmic threats, accountability and innovation, international legal risk, and conflict resolution on global or regional disputes, among