15 machine-learning-and-image-processing Fellowship positions at Hong Kong Polytechnic University
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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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leader in the research project - “Control of permanent magnet machines for improving system efficiency of domestic air-conditioners”. Qualifications Applicants should have a doctoral degree or an
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- “Towards digital biomanufacturing – developing physics-informed machine learning framework for the advanced multi-modular 3D bioprinting system”. Qualifications Applicants should have: (a) a doctoral
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years of post-qualification experience at the time of application; (b) experience in using machine learning for research projects; and (c) have a good command of both written and spoken English
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining
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- “Visual cues in persuasive reviews: The role of before-and-after surgery photos in aesthetic medicine”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have
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the project leader in the research project - “Bilevel optimization for hyperparameter selection in deep learning”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at
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more than five years of post-qualification experience at the time of application. Preference will be given to those with related material processing and 3D printing research experience. Applicants are invited
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disorder-related optic neuritis”. They will be required to: (a) perform administrative work and project operation; (b) conduct experiments and handle laboratory animals; (c) collect and analyse
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly