University of Hong Kong

Ref.: 534052 Work type: Full-time Department: Restorative Dental Sciences of the Faculty of Dentistry (08026) Categories: Teaching Staff ​Applications are invited for appointment as Instructor in Dental Technology in the Faculty of Dentistry (Ref.: 534052), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability.  Applicants should possess at least two Advanced Certificates in Dental Technology or equivalent, or a University degree in Dental Technology or equivalent. He/She should also have wide experience in Dental Technology, preferably with comprehensive skills in Prosthodontic, Orthodontic, and Digital Dental Technology (such as orthodontic appliances, virtual models, digital set-up, CAD/CAM and 3D printing technologies). Recent experience in teaching Dental Technology and a demonstrable interest in research and development in the field would be advantageous. The appointee will teach undergraduate and postgraduate students, participate in patient care and technique development, and contribute to administrative duties. Information about the Faculty can be obtained at http://facdent.hku.hk/. For general queries about the post, please contact Professor E.H.N. Pow, Division Chief of Restorative Dental Sciences in the Faculty of Dentistry at ehnpow@hku.hk. For further information about the duties of the post, please contact Mr. K.Y. Lai at kinglai@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.  Housing benefits will also be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Closes February 2, 2026. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 534070 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Teaching Assistant in the School of Computing and Data Science (several posts) (Ref.: 534070) (to commence as soon as possible, on a one-year temporary full-time basis, with the possibility of renewal) Applicants should possess a good Bachelor’s degree in Computer Science or a related discipline. Good written and spoken English, along with good communication skills, are essential. Preference will be given to those with relevant experience in teaching support and a background in AI literacy. The appointees will report to the Course Coordinator of AI literacy courses. Their main responsibilities include assisting faculty members with course preparation and delivery, conducting tutorials, supporting student learning, grading assignments and examinations, providing constructive feedback to students, maintaining course-related records and databases, and facilitating communication between students and faculty members. They will also assist in organizing workshops and seminars, and perform any additional duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2026, or until the posts are filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview and/or a written test. The University is an equal opportunities employer and  is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 533919 Work type: Full-time Department: School of Humanities (05200) Categories: Professoriate Staff Applications are invited for appointment as Professor/Associate Professor on tenure terms or tenure-track Assistant Professor in Modern and Contemporary Art History in the School of Humanities (Art History) (Ref.: 533919), to commence in August 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Applicants should possess a PhD degree in Art History or a related field. The position is open to all subfields, preference will be given to candidates with the ability to teach introductory courses in modern and contemporary art of Europe and the Americas. The appointee will also supervise postgraduate students and should exhibit a strong interest in, and commitment to, integrating digital technologies and AI into teaching and research. The successful candidate will be expected to develop a vigorous, independent research programme; excel in undergraduate and postgraduate teaching and curriculum development; and undertake administrative duties as required. The normal teaching load is three undergraduate courses, in addition to advising undergraduate and postgraduate students. Information about the Department can be found at https://arthistory.hku.hk/. Enquiries may be directed to Professor Yeewan Koon, Chairperson of the Department of Art History (e-mail: koonyw@hku.hk). 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 and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided where applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, an up-to-date CV, a research statement, a teaching statement, up to two of their most significant recent publications, and contact information for at least three referees. Review of applications will begin on February 27, 2026 and continue until March 31, 2026 or until the post is filled, whichever is earlier.