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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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with three or more years of research/relevant work experience. Preference will be given to those who have the following areas of expertise or equivalent: (a) image analysis and computer vision; (b
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- “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the area of machine learning (ML) and data science, and also be
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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to inquiries from applicants regarding academic programmes and study pathways; (i) evaluate and report on student experiences to enhance onboarding processes; (j) recruit, train and supervise student
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assist the project leader in the research project - “Jockey club smart ageing hub”. He/She will be required to: (a) provide general support to the daily operation of the Day Experience Centre
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proficiency in SPSS and Microsoft Office software including Chinese word processing; (c) have experience in writing research papers and proposals; (d) have a good command of both written and spoken
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- “Establishment of the PolyU-DRRC novel material science and technology innovation centre”. He/She will be required to: (a) prepare and process textile data for AI training; and (b) perform any other duties
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behavioural and EEG experiments; (d) assist in recruiting and running participants for behavioural and EEG studies; (e) assist in processing and analysing behavioural and EEG data; and (f) perform any
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis