Applications are invited for appointment as Senior Research Assistant/ Research Assistant I/II (several posts) in the Sau Po Centre on Ageing within the Faculty of Social Sciences (Ref.: 537143), to commence on October 1, 2026, on a up to or less than 1-year temporary term basis with University contribution to a retirement benefits scheme, with the possibility of renewal subject to satisfactory performance and funding availability.
The Sau Po Centre on Ageing at HKU is dedicated to advancing research in the field of ageing and caregiving, aiming to become a leading research centre on gerontology in Greater China and the Asia Pacific region. Our mission is to improve the quality of life for older adults through innovative research and community engagement. We are committed to the enhancement of the well-being and quality of life of older adults and their caregivers through research, education, and knowledge exchange activities. Information about the Centre can be obtained at https://ageing.hku.hk/.
Senior Research Assistant (Training Officer)
Applicants should possess a Master’s degree or above in gerontology, psychology, social sciences, health science or a related discipline with at least 3 years’ research experience and Registration of Social Worker. They should have experience managing large databases and conducting advanced statistical analysis of treatment or service outcomes. Experience of coordinating trainings, developing and validating psychometric scales, evaluating complex interventions, and participating in research projects related to family caregivers of older adults and/or cost effectiveness evaluation will be an advantage. They should also have a good track record of social science research outputs appropriate for the level of training. They should have a good command of written and spoken English and Chinese (fluency in Putonghua would be an advantage), familiarity with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and good interpersonal and organizational skills. Applicants with less experience may be considered for appointment as Research Assistant.
Research Assistant
Applicants should possess a Bachelor’s degree or above in Social Sciences, Psychology, Statistics, Data science, or related disciplinary studies, preferably with at least 1-year relevant work experience or further studies in healthcare, technology, gerontology. Relevant work experience in big data analysis, managing large databases of multiple research projects relating to family caregivers of older adults and/or geron-technology, and with related track records of academic publication should be advantageous. They should have a good command of written and spoken Chinese (fluency in Cantonese is required) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work and communication skills.
The applicants should be self-motivated, able to work independently and in a multidisciplinary team with collaboration with local and international experts to conduct high-impact and cutting-edge research related to family caregivers of older adults and/or geron-technology, and will be responsible for engaging in managing and executing projects, engaging with the community and stakeholders including project partners and collaborators to translate research into practice, and performing other duties as assigned.
What We Offer
A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on campus gyms and libraries.
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until September 15, 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.
