90 machine-learning-and-image-processing positions at Hong Kong Polytechnic University
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skills in English and Chinese; (c) good computer literacy including MS Word, Excel and PowerPoint. Experience in WordPress administration and multimedia editing (e.g. Adobe Premiere Pro) software will
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processing, human motion analysis or computer vision; (c) proficiency in Python (e.g., OpenCV, MediaPipe or related libraries); (d) strong analytical skills and attention to detail; and (e) ability to work
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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- “Environment and conservation fund designing a prototype for simultaneous solar desalination and hydrogen production”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at
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- “Research on key issues of array wide-band detectors and imaging chips”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at least three years of postdoctoral research
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post should have an honours degree in one of the above-mentioned disciplines or an equivalent qualification with relevant work experience. Applicants should also have: (a) good computer literacy and
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai