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project - “Human-guided reinforcement learning for autonomous navigation of unmanned ground vehicles in a sim-to-real context (Internal)”. Qualifications Applicants should have a doctoral degree in Control
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-qualification experience at the time of application; (b) experience in conducting human neuroscience research and/or be proficient in computer programming, e.g. Matlab and Python; (c) a good command of both
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) a good understanding of and ability to conduct data analysis; (d) an excellent command of spoken English; and (e) the ability to work independently and meet the work schedule. Applicants
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. Preference will be given to those with a good command of English and publications in top-tier journals. Applicants are invited to contact Prof. Kinor Jiang at telephone number 2766 6430 or via email at kinor.j
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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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or more years of research/relevant work experience; (b) good knowledge of and working experience in BLE system design, AI data analysis and mechanical system design; and (c) good command of written
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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