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12 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Hong
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Ref.: 533072 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor
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Ref.: 532531 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
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) Country Hong Kong Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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) Country Hong Kong Application Deadline 18 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Hong Kong Application Deadline 28 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, South Korea. The appointee will manage the infectious disease surveillance activities of the HKJCGHI and reports to the on-site Program Director. He/She will work closely with senior leadership and
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Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Researcher (R3) Country Hong Kong Application Deadline 21 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple