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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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24 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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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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Application Deadline 1 Jan 2026 - 00:00 (UTC) Type of Contract Temporary 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
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2 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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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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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