Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education.  It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world.  Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies.  To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students.  With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future.  Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies.  Further information about Lingnan University is available at https://www.ln.edu.hk/.

Applications are now invited for the following post:
 

Research Officer / Assistant Research Officer
School of Graduate Studies
(Post Ref: 25/78)
 

The research team led by Professor Shi Cheng, Research Assistant Professor, (https://scholars.ln.edu.hk/en/persons/cheng-shi) is seeking a highly motivated Research Officer / Assistant Research Officer to work on a feasibility study on the efficacy of a VR-based mindfulness intervention for dementia caregivers.

Responsibilities

• Implement and support the execution of a Randomized Controlled Trial (RCT) project
• Assist in coordinating participant recruitment, enrollment, and intervention implementation
• Support data collection processes and ensure accurate transcription of research data
• Prepare detailed reports and documentation related to research activities
• Contribute to other relevant research tasks and administrative duties as required
   

Requirements

• Bachelor’s degree in Nursing, Social Work, Medicine, Social Sciences, or a related discipline
• Demonstrated experience in research implementation, data collection (e.g., fieldwork, surveys) and project coordination
• Familiarity with data analysis tools and techniques (both quantitative and qualitative)
• Strong organizational skills, attention to detail, and the ability to manage multiple tasks and meet deadlines effectively
• Fluency in English and Cantonese (both written and spoken) is essential
• Expected commencement date: Early July 2025

Candidates with less/more experience will also be considered for appointment at a relevant rank.

Enquiries shall be directed to the Principal Investigator of the Project, Professor SHI Cheng (chengshi@ln.edu.hk).


Salary and Fringe Benefits

The rank and commencing salary will be commensurate with qualifications and experience.  Fringe benefits, where applicable, include annual leave, medical and dental benefits and mandatory provident fund.  Appointment will be made on a fixed-term contract of  up to 11 months.  Renewal of contract will be subject to the performance and the funding availability.
 

Application Procedure (online application only)

Please click Apply Now to submit your application.  Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the post is filled.  Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search.  We regret that only shortlisted candidates will be notified.