Part-time Student Trainee (UGC/IDS(C)16/B01/24) (A&SS) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

75.0

Posted On

25 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Research, Detail-Oriented, Hardworking, Organized, Responsible, Self-Motivated, English, Chinese

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 appointees shall mainly assist the research team in a research project “Digital Preservation and Layered Realities of Kowloon's Heritage: A Foundational XR Feasibility Study with Dual-Representation 3D Asset Creation” (UGC/IDS(C)16/B01/24). The appointee will be responsible mainly for the following: Conducting on-site data collection and processing; Assisting the Principal Investigator/supervisors to prepare experiments; and Conducting other ad-hoc research activities as instructed by the Principal Investigator. Candidates Candidates should possess the following qualifications, experience and competence: Full-time undergraduate or postgraduate student of the University, and preferably majoring in Creative/Interactive Media, Computer Science, or any related disciplines; Interested in research-based further study; Detail-oriented, hardworking, organized, responsible, self-motivated, and able to meet deadlines and work independently; and Excellent command of spoken and written English and Chinese. Duration of Appointment The appointee will be required to work for the period from March 2026 to August 2026. Terms and Conditions for Appointment Successful candidate will be appointed on a temporary part-time contract at a rate of HK$75 per hour. 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. Please contact Dr. William Lai at 3120-2531 for enquiries about the post. 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 research team in a project focused on digital preservation and layered realities of Kowloon's heritage. Responsibilities include conducting on-site data collection, preparing experiments, and performing other research activities as directed.