University of Hong Kong

Ref.: 534816 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Research Assistant Professor (to be seconded to GBAICTI as its Data Scientist (Artificial Intelligence)) (Ref.: 534816) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support RWE generation. Leverage the RWSAC's AI facility to conduct large-scale analyses and build innovative tools derived from RWD to improve clinical practice and research. Stay abreast of the latest developments in AI/ML for healthcare and ensure methodologies are cutting-edge and scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data management, preferably in the medical and/or research sectors. Hands-on experience of building and maintaining production-grade datasets for AI/ML models. Strong analytical thinking and attention to detail. Good command of written and spoken English and Chinese (including Putonghua) Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 534829 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Postdoctoral Fellow / Research Assistant I in the Department of Psychology (Ref.: 534829 Applications are invited for appointment as Postdoctoral Fellow / Research Assistant I in the Department of Psychology (Ref: 534829), to commence as soon as possible or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological or behavioural data analysis will be highly regarded. A good command of written and spoken English and Chinese, strong interpersonal and organizational skills, and the ability to coordinate multiple projects are required. Knowledge or prior work related to clinical health psychology, behavioural health, community health, women’s health, elderly wellbeing, or the intersection of physical and mental health would be an advantage. The appointee will work with Prof. Wai Sze Chan on projects related to developing predictive models for health outcomes and digital behavioural interventions. Responsibilities include managing and analysing large datasets, assisting in grant and manuscript writing, and coordinating research activities. Opportunities for authorship and professional development will be provided. 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 post. Applicants should apply online and upload (1) an up-to-date CV, (2) detailed transcripts, and (3) the name and contact information of one referee. Review of applications will start as soon as possible and continue until May 15, 2026, or until the post is filled, whichever is earlier.

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency