27 parallel-computing-numerical-methods Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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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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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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the project leader in the research projects - “The job characteristics and well-being of personal care workers in Hong Kong’s residential care homes of the elderly: A mixed-methods study”, “Unraveling the well
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technologies and numerical modelling”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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-qualification experience at the time of application; (b) excel with both quantitative and qualitative research methods; and (c) be proficient in SPSS (especially SEM, PROCESS) and knowledge in VR will be
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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] Duties The appointees will assist the project leader in the research project - “AI-XR empowered computer-assisted surgery via effective fusion of empirical knowledge, human interaction, and machine