Post-doctoral Fellow/Senior Research Assistant, Centre for Information Technology in Education
The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.
Work type: Full-time
Department: Centre for Information Technology in Education within the Faculty of Education (10001)
Categories: Academic-related Staff
Applications are invited for appointment as Post-doctoral Fellow / Senior Research Assistant in the Centre for Information Technology in Education within the Faculty of Education (Ref.: 502463), to commence as soon as possible for one year.
Applicants should possess a Doctoral degree in Education, Social Sciences or a related discipline, and experience in analyzing survey and/or assessment data. Familiarity with the literature on digital literacy and/or factors at the student, home and school levels influencing educational achievement, and large-scale quantitative data is a clear advantage. Preference will be given to those with experience in managing and analyzing quantitative research data using advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Good organizational skills and the ability to work on a tight schedule are essential to succeed in this role. They should also have a high level of writing proficiency in English and demonstrated ability in writing up research findings for both academic and general audiences, and be self-motivated, responsible and able to work independently and within a team. Applicants with a Master’s degree and substantial research experience in relevant areas may be considered for appointment as Senior Research Assistant.
The appointee will work under the supervision of Professor Nancy Law on the project “Learning and Assessment for Digital Citizenship” funded by HKRGC under the Theme-Based Research Scheme and assist the project team in the management of assessment and survey data, analysis of large-scale quantitative data, writing of research reports and papers, and dissemination of the research findings. He/She will also assist in day-to-day tasks and perform other duties as assigned.
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 30, 2020, or until the post is filled, whichever is earlier.