Full-time/Part-time Post-Doctoral Fellow in the Centre for Information Technology in Education within the Faculty of Education (Ref.: 536636 ).
To commence from September 1, 2026 to August 31, 2027.

Applicants should possess a Ph.D. degree in education, social sciences, STEAM or science education, artificial intelligence, or a related discipline, with experience in analysing survey and assessment data. Familiarity with the literature on digital literacy and factors influencing students’ educational achievement is a strong advantage. Preference will be given to candidates with experience in managing and analysing large scale quantitative research using advanced statistical methods such as multiple linear regression, mediation analysis, multilevel modelling, and latent variable models. Strong organizational skills and the ability to work under tight deadlines are essential. Candidates must demonstrate high proficiency in English writing and be capable of communicating...