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University of Hong Kong, Pok Fu Lam, Hong Kong

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"Professor/Associate Professor/Assistant Professor in Learning Technologies and/or Technology-Enhanced Learning (2 posts)"

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Professor/Associate Professor/Assistant Professor in Learning Technologies and/or Technology-Enhanced Learning (2 posts)

The Positions

We now invite applications for appointment as Professor/Associate Professor/Assistant Professor in Learning Technologies and/or Technology-Enhanced Learning (2 posts) in the Faculty of Education, specifically in the areas of Human-AI Interactions and Collaborative Learning, and Learning Design and Learning Analytics.

Duties and Responsibilities

The appointees will teach at undergraduate and postgraduate levels, contribute to various programmes related to learning and development in technology-enriched environments, including socioemotional and pedagogical implications; as well as the design of digital technologies and curricula that foster learner agency and digital competence. They are also expected to engage proactively in the development of research and teaching initiatives in Human-AI Interactions, and Learning Design and Learning Analytics, contribute to collaborative and interdisciplinary efforts with colleagues across the University. They will also supervise research postgraduate students, contribute actively to research and knowledge exchange, and assume service/administrative responsibilities as appropriate. Those appointed at the senior level will also lead collaborative and interdisciplinary initiatives in research and knowledge exchange, mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities.

Essential Requirements

Applicants should possess (i) a Ph.D. degree in the broad area of Digital Technology in Education, with strong expertise in learning technology development and implementation grounded in the learning sciences/data science; (ii) tertiary teaching experience; (iii) expertise in one or more of the following areas: human-AI interactions and collaborative learning, learning design and learning analytics, learning, teaching, and assessment of digital literacy/AI literacy, leadership for technology-enhanced pedagogical innovations, and/or technology integration in education as sociotechnical innovation and ecosystem change; and (iv) a proven track record in, or strong potential for scholarly publications and competitive external funding. Knowledge of the local context would be an advantage. Applicants for Professor position should possess strong academic credentials, outstanding academic leadership capabilities, extensive experience in conducting externally funded and rigorous field-based research, and a distinguished record of scholarship.

What We Offer

The appointment will be made on a fixed-term full-time contract for 3 years initially, to commence on August 1, 2026 or as soon as possible thereafter, with the possibility of renewal and consideration for tenure before the expiry of the second three-year fixed-term contract. Outstanding candidates at Professor/Associate Professor level may be considered for appointment with tenure.

A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable.

How to Apply

The University only accepts online application for the above posts. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload a cover letter indicating the earliest availability date, an up-to-date C.V. with the contact information of three referees, one sample of a representative research output, a research plan of not more than 2 pages, and a teaching statement of not more than 2 pages. Review of applications will start on January 19, 2026 and continue until February 28, 2026, or until the posts are filled, whichever is earlier.

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