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                posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators 
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                to ensure smooth operation and accessibility for staff; (b) support training, stakeholder communication and preparation of project deliverables to promote system adoption and usability; (c) assist in 
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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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                for the Research Assistant posts should have an honours degree or an equivalent qualification. For both posts, applicants should be familiar with audio or speech processing and Large Language Models. Preference will 
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                interdisciplinary collaboration. It will identify key challenges, including the systematic documentation of iterative processes and the validation of creative outputs as contributions to research. The appointees 
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                interfaces using functional and programmable materials; (b) collaborate on interdisciplinary projects bridging design, engineering and human-computer interaction; (c) publish research findings in high 
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                should have: (a) an honours degree or an equivalent qualification; (b) background in design, human-computer interaction or computer science; (c) knowledge of programming, design or data analysis 
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                should have relevant experience in research and coordination work. Preference will be given to those with good publication records, experience in data processing, demand analysis, and SharePoint 
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                , Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural 
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                project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be