Part-Time Research Assistant II [R6881] (A&SS) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Literature Review, Data Collection, Qualitative Interviews, Transcription, Data Management, Data Analysis, Written English, Cantonese

Industry

Higher Education

Description

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching. HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA. For more information about the University, please visit https://www.hkmu.edu.hk We are now looking for a suitable person to fill the following position in the School of Arts and Social Sciences: Major Duties and Responsibilities The appointee will assist the Principal Investigator in the research project “A pilot study of the experience of education-to-work transition from a class perspective: The case of social sciences students in higher education in the Hong Kong SAR” (Project No.: PFDS/2025/13). The appointee will be responsible mainly for the following: literature review; data collection (mainly using qualitative interviews); transcription of qualitative interviews; data management and analysis; and any other duties as assigned by the Principal Investigator. Candidates Candidates should possess the following qualifications, experience and competence: a recognised Bachelor’s degree or above in Social Sciences or related disciplines; and an excellent command of written English and be able to speak Cantonese. Experience in conducting qualitative data collection and qualitative data analysis will be an advantage. Fresh graduates are welcome to apply. They should also have a strong sense of responsibility and be able to work independently. Duration of Appointment Successful candidate will work no more than 17 hours per week for the period between December 2025 and November 2026. Terms and conditions for Appointment Successful candidate will be appointed on a part-time contract. Benefits will be provided in accordance with the statutory provisions To Apply Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. Candidates are invited to contact Dr Beatrice Lam at oylam@hkmu.edu.hk for further information. The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.

Responsibilities

The appointee will assist the Principal Investigator in a research project focused on education-to-work transition for social sciences students. Responsibilities include literature review, data collection through qualitative interviews, transcription, and data management and analysis.