Applications are invited for appointment as Post-doctoral Fellow in the Teaching and Learning Innovation Centre (Ref.: 532117), to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance and funding availability.
Applicants are required to hold a Ph.D. degree, preferably in the field of Education or a related discipline. They should have an interest in AI in education with some technical knowledge and/or background in the area. Previous experience in one of the following areas, including assessment and feedback, curriculum design, e-learning, data analysis, and advanced statistical skills (e.g., multilevel modelling, structural equation modelling, latent profile analysis, etc.), will be an advantage, as will a strong publication record with internationally recognised journals.
The appointees will work with Professor Cecilia K. Y. Chan on her projects related to AI literacy and the integration of AI technologies into education. Applicants should be self-motivated, able to work independently as well as in a team. They should also have excellent communication skills in written and spoken English, proficiency in academic writing, good troubleshooting skills, and effective collaboration skills, both as a leader and as part of a team. Applicants with a strong interest in AI in education, teaching and learning, assessment, and quantitative methodologies are most welcome to apply.
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 30 June 2025, or until the posts are filled, whichever is earlier.
