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21 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global magnetohydrodynamic (MHD) simulations of solar wind–magnetosphere–ionosphere coupling, perform data–model
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Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in education, or learning analytics. Familiarity with theories
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magnetohydrodynamic (MHD) simulations of solar wind–magnetosphere–ionosphere coupling, perform data–model comparisons, and collaborate closely with Prof. Binzheng Zhang and other DEPS researchers. Requirements a Ph.D
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab of Drug Delivery, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical