"Post-doctoral Fellow/Senior Research Assistant in the Faculty of Education (Ref.: 533408)"

Post-doctoral Fellow/Senior Research Assistant in the Faculty of Education (Ref.: 533408) (to commence from November 1, 2025 or as soon as possible, for one year, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in education, or learning analytics. Familiarity with theories of self- and socially-shared regulated learning, digital literacy frameworks, and/or the role of generative AI in human learning is crucial. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis. 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, with English being essential and Chinese desirable. 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 support the strategic development of a new large-scale research program on AI in education, focusing on both understanding and fostering learners’ capacities for effective human–AI interactions. 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; (e) supporting the preparation of research proposals for submission to external funders, and (f) providing assistance in administrative and dissemination work.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

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 November 20, 2025, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency