Career Opportunities

Post-doctoral Fellow / Senior Research Assistant in the Centre for Information Technology in Education within the Faculty of Education (Ref.: 526417).
To commence asap until 31 August 2025, with the possibility of renewal subject to funding availability and satisfactory performance.

Applicants should possess a doctoral degree in Social Science, Education Measurement, Psychology, or a related discipline. They should have at least 1 year of relevant working experience, good communication skills, and an excellent command of written and spoken English and Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment and psychometric instruments is mandatory. Preference will be given to applicants with knowledge of analyzing quantitative research data using advanced statistical tools (e.g., MPlus, R). Applicants should have strong leadership, organizational and problem-solving skills, good interpersonal and communication skills, and be self-motivated. Familiarity with the literature and/or experience related to digital competencies or educational technologies would be a strong advantage. The ability to work on a tight schedule to meet project deadlines is essential to succeed in this role. Appointees should have a strong sense of responsibility and able to work independently and in a team with different stakeholders. Applicants with a PhD degree may be considered for appointment as Post-doctoral Fellow. Those with other higher degrees and substantial research experience in relevant areas may be considered for appointment as Senior Research Assistant. 

The appointee will work on a research project that evaluates the effects of a programme designed to empower youth for their digital competencies and psychological wellbeing. He / She will work closely with the PI and the project team to:
1. Contribute to all aspects of research design, ethical approval application, consent form and information sheet preparation, instrument development and validation, scale development, data cleaning, analysis and report writing.
2. Support the PI in the coordination and monitoring of the instrument development and validation process, including seeking advice from the PI & co-Is to ensure the research design and implementation maintains a high quality.
3. Conduct pilot studies and testing.
4. Work closely with the project manager in the development of training materials for data collection and the drafting of the reports to disseminate evaluation findings. Provide training and guidance to part-time research staff members regarding tasks at different stages of the project development.

The University only accepts online applications 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 May 31, 2024, or until the post is filled, whichever is earlier.