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project - “Towards efficient large model training via learning from small model”. He/She will be required to: (a) conduct research on knowledge distillation and transfer learning from small models
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more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning
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/Project Associate post should have a master’s degree or a good honours degree with three or more years of research/relevant work experience, preferably with experience in generative AI, multimodal learning
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equivalent qualification with one to two years of advanced research experience in generative AI, visual computing and deep learning, and must have no more than five years of post-qualification experience
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Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited
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twelve months] Duties The appointees will assist the project leader in the research project - “Towards multimodal seamless human-robot collaboration: few-shot perception and spatial skill learning with
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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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Applied Learning subjects / Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited to contact Prof. Tam Hwa-yaw