University of Hong Kong

Ref.: 537727 Work type: Full-time Department: Department of Microbiology, School of Clinical Medicine (20700) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Department of Microbiology, School of Clinical Medicine (Ref.: 537727), to commence as soon as possible for one to two years, with the possibility of renewal subject to funding availability and satisfactory performance. This post mainly works in Science Park but occasionally work in HKU. Requirements Applicants should possess a Ph.D. degree in medicinal chemistry, chemical biology, RNA biology, computational chemistry, or a related discipline. They should demonstrate excellent communication and interpersonal skills, with a proven ability to work effectively both independently and within multidisciplinary teams. The successful candidate will be expected to collaborate closely with colleagues, proactively share knowledge, and consistently deliver high-quality results in a fast-paced and deadline-driven research environment. We are particularly interested in candidates with expertise in medicinal chemistry, chemical biology, RNA structural biology, RNA–small molecule interactions, computational chemistry, cheminformatics, or AI-assisted virtual drug screening. Experience in RNA-targeted therapeutics, molecular docking, RNA binding assays, structure–activity relationship analysis, or computational drug discovery would be highly advantageous. Duties The appointee will join an antiviral drug discovery project focused on developing small-molecule approaches to target conserved viral RNA elements. He/She will contribute to viral RNA target analysis, RNA structure modeling, virtual screening, compound prioritization, small-molecule design, assay development, and early-stage drug discovery. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until December 31, 2026, or until the post is filled, whichever is earlier.

Ref.: 537443 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We now invite applications for the captioned post. Full-time Research Assistant I or II / Senior Research Assistant in the Department of Psychology (Ref.: 537443) Applications are invited for the position of Research Assistant I or II / Senior Research Assistant in the Department of Psychology, for the Child and School Psychology Laboratory, to commence in November 2026, on a two-year fixed-term basis with contract-end gratuity and totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance and funding availability. The Role The appointee will provide independent support to research projects and related academic activities. Key responsibilities include: Conducting literature reviews and synthesizing research findings Developing research materials, resources, and programme content Managing research data, performing statistical analysis, and preparing reports Monitoring project progress and ensuring timelines are met Supervising junior research staff (for Senior Research Assistant level) and coordinating day-to-day project operations Assisting in the preparation of manuscripts, presentations, and other research outputs Supporting other research-related activities as needed Requirements Applicants should possess: A Bachelor's degree in Psychology, Social Sciences, Education, or a related discipline. For Senior Research Assistant: at least 3 years of relevant post-qualification experience, or a Master’s degree with at least 1 year of experience, or a Ph.D. degree. Demonstrable ability to independently manage research tasks and supervise junior staff (for Senior level). Excellent command of written and spoken English and Chinese. Proficiency in Microsoft Office (Word, Excel, PowerPoint). Familiarity with SPSS or other statistical analysis software is preferred. For Research Assistant I/II: relevant experience or skills in research support activities. For Research Assistant I/II: good knowledge of Microsoft Excel, with English word processing speed of at least 50 w.p.m. and Chinese at least 30 w.p.m. are preferred. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, together with annual leave and medical benefits. The University only accepts online applications. Applicants should apply online and upload an up-to-date CV and detailed academic transcripts. Review of applications will commence as soon as possible and continue until November 15, 2026, or until the post is filled, whichever is earlier.

Ref.: 537493 Work type: Full-time Department: Faculty of Engineering (14000) Categories: Teaching Staff Applications are invited for appointment as Lecturer/Assistant Lecturer in the Faculty of Engineering (Ref.:537493), to commence as soon as possible, on a two-year fixed-term basis, with possibility of renewal subject to satisfactory performance and funding availability. The Faculty of Engineering is committed to providing high-quality education in Artificial Intelligence (AI) for undergraduate students to keep status quo. These courses represent key initiatives to promote active learning and interdisciplinary mindset through hands-on and project-based pedagogy, inspiring students to engage with real-world engineering applications. We are seeking passionate educators to join our teaching team in designing and delivering lectures, tutorials, and project-based learning experiences in AI-related courses. To ensure the courses remain up to date and relevant, appointees are expected to regularly review and update teaching materials, incorporating the latest developments in AI. The appointed candidate will also supervise student-driven projects within the Faculty of Engineering and collaborative initiatives with external partners. Candidates with substantial practical experience in applying AI to solve engineering challenges are especially encouraged to apply, as we value professional insight alongside academic excellence. Successful applicants should be comfortable in teaching and supervising in a dynamic international environment. Qualifications and Requirements: A Master’s or Ph.D. degree in Computer Science or related engineering fields; Demonstrated expertise in Artificial Intelligence, including but not limited to computer vision, foundation models and agentic systems, embodied AI and intelligent robotics, or AI infrastructure and systems; Practical experience in applying or deploying AI techniques to engineering problems; and A strong record of, or clear potential for, excellence in teaching practice-oriented courses, mentoring students, and supervising projects. Based on the teaching experience and academic qualifications, suitable candidates will be considered for positions ranging from Assistant Lecturer or Lecturer. 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 for Lecturer, or up to 10% of basic salary for Assistant Lecturer. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will commence as soon as possible and continue until November 30, 2026 or until the post is filled, whichever is earlier.