Temporary/Part-time Research Associate / Research Assistant / Technical Assistant (s) (Project Code: R6979) (E&L) (Ref: 26001QB)

Temporary/Part-time Research Associate / Research Assistant / Technical Assistant (s) (Project Code: R6979) (E&L) (Ref: 26001QB)

Major Duties and Responsibilities

The appointee(s) will assist the Principal Investigator for the Research Project “Developing K-12 students’ AI literacy through project-based learning.” The appointee(s) will be responsible mainly for the following:

•  Conducting literature searches;

• Working with the Principal Investigator to design interdisciplinary AI- and STEAM-based learning curricula (e.g., AI, GenAI, and STEAM), develop research instruments, and prepare reports;

• Assisting in data analysis; and

• Performing any other duties as assigned by the Principal Investigator.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A doctoral degree with a proven track record of research and publication, preferably in Education, Educational Technology, Computer Science, Engineering, or the Social Sciences (for Research Associate);

• A Bachelor's degree or above, preferably in Education, Educational Technology, Computer Science, Engineering, or the Social Sciences (for Research Assistant);

• At least 5 subjects at Level 2 or above in HKDSE (or equivalent), including Chinese Language, English Language, and Mathematics; preferably current undergraduate students majoring in Education, Educational Technology, Computer Science, Engineering, or the Social Sciences (for Technical Assistant);

• Fluency in both written and spoken English or Chinese (Cantonese/ Mandarin); and 

• Preferably with experience in educational research and/or designing AI- and STEAM-based curricula and activities.

Terms and Conditions for Appointment

Successful candidates will be appointed on a temporary 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.

https://hkmu.taleo.net/careersection/ex_non_full_time/jobapply.ftl?lang=en&job=26001QB

Applications must include a resume and a sample teaching plan integrating AI technologies. An optional technical portfolio highlighting relevant AI or software work may also be included.

Closing date of application: 26 August 2026

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. The University will continue to review applications until the position(s) is/are filled.