Part-Time Research Assistant II (A&SS)

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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 Wu Jieh Yee School of Arts and Social Sciences:
The appointee will assist the Principal Investigator in the research project “AI-Supported Ethical Scenario Training for Customs Officers: A Social Learning Approach to Integrity and Professional Judgment” (Ref. No. RD/2026/1.34). The appointee will be responsible mainly for the following:
- Literature review;
- Data collection;
- Data management and analysis; and
- Any other duties as assigned by the Principal Investigator.
Candidates should possess the following qualifications, competence or experience:
- An undergraduate or postgraduate student at the university, preferably majoring in Computer Science, Software Engineering, Information Systems, Creative Media, or a closely related quantitative field;
- Proficiency in frontend technologies (e.g., React, Vue, HTML/CSS) and backend languages/environments (e.g., Python/Django/Node.js);
- Prior experience developing EdTech platforms, Learning Management Systems (LMS), or interactive web apps;
- Problem-solving skills: self-driven ability to debug code, optimize performance, and work independently.
Successful candidate will be appointed on a temporary part-time contract. Benefits will be provided in accordance with the statutory provisions. Successful candidate will work no more than 16.5 hours per week for the appointment period runs from Sept/Oct 2026 to Aug 2027.
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