181 embedded-system-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University
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The appointees will assist the project leader in the research project – “Scalable analytical processing on embedding vector data phase II”. Qualifications Applicants for the Postdoctoral Fellow post should have a
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the research project - “Social robots with embedded Large Language Models releasing stress among the Hong Kong population”. He/She will be required to: (a) develop personalised emotional support conversation
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The appointee will assist the project leader in the research project – “Next generation of AI-embedded remote sensing technology for detecting building facet leakage”. Qualifications Applicants for the Research
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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Department of Industrial and Systems Engineering Research Assistant (Ref. 260116018) [Appointment period: six months] Duties The appointee will assist the project leader in the research project
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Department of Industrial and Systems Engineering Part-time Research Assistant (three posts) (Ref. 260114011) [Appointment period: each for six months] Duties The appointees will assist the project
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project - “Modelling and optimization of low-altitude transport systems for logistics and passengers”. Qualifications Applicants should have a doctoral degree or an equivalent qualification. Applicants
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Associate [Appointment period: each for three to twenty-four months] Duties The appointees will assist the project leader in the research project - “Research on key technologies of complex antenna systems in
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Department of Industrial and Systems Engineering Research Assistant (Full-time/Part-time) (three posts) (Ref. 260108002) [Appointment period: each for twelve months] Duties The appointees will
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the project - “Developing an AI-empowered and student-centered institutional self-awareness and well-being support system: From assessment to intervention through parameter-efficient fine-tuning of foundation