Tenure-Track Professor/ Associate Professor/Assistant Professor

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professor (several posts) in the Department of Ophthalmology (Ref.: 536264), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract.

Applicants should possess a Ph.D. degree in Medical Image Processing, Artificial Intelligence, Computational Health Sciences, or related disciplines. He/ She should demonstrate a proven track record of impactful research, publications, external grant and leadership, a strong commitment to engaging students in inquiry-based learning at both undergraduate and postgraduate levels, as well as a strong track record in translational AI research, particularly in the following areas: (i) development of AI-enabled ophthalmic imaging devices with regulatory approval and clinical deployment; (ii) retinal image analysis, foundation models, and multimodal learning for ophthalmology; (iii) AI-driven screening systems for ocular and systemic diseases; (iv) machine learning approaches for multi-omics or clinical data integration in ophthalmology. Those with less experience may be considered for appointment as Associate Professor or Assistant Professor.

The appointees are expected to lead and manage translational research projects in ophthalmic AI, leverage expertise in retinal image analysis, multimodal learning, and foundation models to develop clinically deployable screening and diagnostic systems, participate in teaching and supervising undergraduate and postgraduate students, and perform administrative duties.

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 application at the University’s career site (https://jobs.hku.hk) for the above posts. Applicants should apply online, upload (i) an up-to-date C.V., (ii) a research statement, (iii) a teaching statement, (iv) two to three most significant research publications, and provide contact information of at least three referees. Review of applications will start from July 26, 2026 and continue until August 26, 2026, or until the posts are filled, whichever is earlier.