Results for "Part-time"

Part-time Research Assistants (Project No.: 40025) (E&L) (Ref: 26001WK)

Major Duties and Responsibilities

The appointee will mainly assist the Project Team for the project “AI for Empowering Learning and Teaching Funding – School Support”. The appointee(s) will be responsible mainly for the following:

• Assisting in the design, development, and refinement of AI-enhanced teaching and learning materials, assessment tasks, and learning videos; 

• Exploring, evaluating, and testing emerging AI tools and technologies for educational applications; 

• Visiting schools to support the implementation of AI-supported teaching initiatives; 

• Collaborating with teachers in developing teaching materials, lesson plans, and classroom activities that effectively integrate AI tools; 

• Observing and evaluating lessons conducted by teachers, and providing constructive feedback and professional recommendations to enhance teaching effectiveness; 

• Providing pedagogical and technological support to teachers on the integration of AI into teaching and learning; 

• Assisting in organizing teacher professional development activities, workshops, and learning circles; 

• Conducting quantitative and qualitative data collection and analysis for research and evaluation purposes; 

• Preparing reports, research papers, presentations, and dissemination materials; and 

• Performing other research-related and project-related duties as assigned.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A Bachelor’s degree or above, preferably in Education, Mathematics Education, Chinese Language Education, English Lanugauge Education, Chinese Language, Science, Visual Arts, or related subjects; preferably with research and publication experience.

Terms and Conditions for Appointment

Successful candidate 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=26001WK

Closing date of application: 30 September 2026

(Applicants who have responded to the previous advertisements 26001NK need not re-apply.)

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.