Post-doctoral Fellow / Senior Research Assistant
Requirements
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.
Duties
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.
Employment Period
To commence from as soon as possible to 31 August 2027.
Application Method
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 September 21, 2025, or until the post is filled, whichever is earlier.