Job Vacancies

Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee should also have a high level of writing proficiency for academic purposes and for a general audience in both English and Chinese. Good organizational skills, the ability to work independently and interdependently within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a Senior Research Assistant.

The appointee will work closely with the Principal Investigator and the project team, to conduct research in a project on “An ecological evolutionary approach to curriculum development and teacher learning for artificial intelligence literacy”. He/She will take a key role in all stages of the research, including but not limited to (a) research and instrument design; (b) data collection, management, analysis and interpretation; (c) preparation for publications in peer reviewed journals and books; (d) working collaboratively with other project team members to liaise with schools, professional bodies and other relevant stakeholders; and (e) providing assistance in administrative and dissemination work.

To commence from as soon as possible to 31 August 2027.

The University only accepts online application 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 June 30, 2026, or until the post is filled, whichever is earlier.

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The appointee will work on an assessment project aligned with one domain of the 2025 Programme for International Student Assessment (PISA) framework. He/She will complete training on assessment task design delivered by Organisation for Economic Co-operation and Development (OECD) and be responsible for developing age-appropriate digital assessment tasks and scoring rubrics for P4-S3 students, including but not limited to drafting interactive assessment items, formulating detailed scoring rules, collaborating with the project team on iterative refinement of assessment materials, and ensuring all work aligns with OECD and PISA standards.

Essential Requirements
• a Bachelor's degree or higher in Education, Science, Computer Science, or a related field, with extensive hands-on teaching experience in science or computing-related subjects for students in upper primary or junior secondary levels;
• at least 3 years of full-time teaching experience;
• a strong conceptual understanding of computational or scientific inquiry practices and, ideally, self-regulated learning;
• strong communication skills in English;
• the ability to write assessment items in English or Chinese;
• digital proficiency and a willingness to learn digital authoring environment;
• the ability to work independently in accordance with project guidelines and timelines, and as part of a collaborative team.
candidates with less experience may be considered for appointment as Research Assistant I/II.

Desirable Attributes
• experience in developing assessment items that map to a curriculum or assessment framework;
• familiarity with evidence-centred design principles;
• experience using digital assessment platforms;
• experience developing interactive, open-ended items using, such as block-based coding, executable concept maps, spreadsheets and graphs for data exploration.

The appointment will commence as soon as possible on a temporary part-time basis for up to three months. A highly competitive salary commensurate with qualifications and experience will be offered.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV (indicating your subject and grade level teaching experience). Review of applications will start as soon as possible and continue until June 30, 2026, or until the post is filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview.

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