Applicants should possess a doctoral degree in STEAM/ science education, artificial intelligence, e-learning, assessment, curriculum studies, education, or a related discipline; a recognized teaching qualification; and at least 7 years’ relevant experience in science teaching, curriculum development, learning design and/ or providing professional support to schools to enhance STEAM/ science education. Preference will be given to candidates with a strong record of pedagogical innovation and experience in supporting teacher learning and professional development. Priority will be given to those who have experience in research on teacher learning and/ or school development for curriculum/ pedagogical innovations, or who have held leadership positions (e.g. vice principal, curriculum leader and subject panel head) in schools, or who have demonstrated expertise in managing/ supporting large-scale school development projects.
The appointee will work closely with the project leaders to design and implement teacher and school networks, provide school-based professional support to schools, design and deliver network activities, conduct research and consolidate the support experience of the team for knowledge generation. He/She is expected to:
1. assist the project leaders with the design and implementation of professional development workshops for teachers and school leaders on STEAM education, AI in science education, self-directed learning and innovation leadership;
2. coordinate and liaise with different parties for the smooth implementation of the teacher and school networks;
3. work collaboratively with project teachers in designing STEAM curriculum integrating AI technologies and using self-directed learning strategies;
4. work independently in developing, implementing and evaluating school-based support plans for project schools;
5. nurture project schools’ multi-level innovation and leadership capacity;
6. prepare project reports, draft research papers and case stories, develop design resources and project deliverables, design and conduct related qualitative and quantitative research; and
7. perform other duties as assigned.
To commence from September 1, 2025 to August 31, 2026.
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 6, 2025, or until the post is filled, whichever is earlier.