Job Vacancies

Post-doctoral Fellow

(Ref.: 532362)

Requirements

Applicants should possess a doctoral degree in Social Science, Education Measurement, Psychology, or a related discipline. They should have 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 be able to work independently and in a team with different stakeholders.

Duties

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, including ethical approval application, consent form and information sheet preparation, instrument development and validation, scale development, data cleaning and 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 quality of research design and implementation.
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.

Employment Period

To commence asap until 31 December 2026.

Application Method

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 June 30, 2025. or until the post is filled, whichever is earlier.

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Closing Date

June 30, 2025

Part Time Research Assistant I/II

(Ref.: 532323)

Requirements

Applicants should possess a Bachelor’s degree in Science, Social Sciences, Education or a related discipline. They should have an excellent command of written and spoken English and Chinese, good communication, IT and organization skills, and experience in conducting qualitative and/or quantitative research. A higher degree in Education is a definite advantage. Preference will be given to those with good research skills (e.g. conducting interview and analyzing qualitative and quantitative data e.g. using SPSS.

Duties

The appointee may assist the Centre for Information Technology in Education team to design learning design pattern, conduct research related to learning design and perform other duties as assigned.

Employment Period

To commence as soon as possible until 31 August 2025.

Application Method

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 June 20, 2025, or until the post is filled, whichever is earlier.

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Closing Date

June 20, 2025

Post-doctoral Fellow / Senior Research Assistant

(Ref.: 532202)

Requirements

Applicants should possess a higher degree in Social Science, Education Measurement, Psychology, or a related discipline. They should have preferably one year of relevant working experience. Good communication skills, and an excellent command of written and spoken English and Chinese are essential (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. Familiarity with mixed-methods and/or intervention research for youths/vulnerable groups/minorities would be an added strength.

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 divide, learning and assessment of digital competence/AI literacy in diverse contexts beyond formal school settings 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 Postdoctoral Fellow. Those with other higher degrees and substantial research experience in relevant areas may be considered for appointment as Senior Research Assistant.

Duties

The appointee will work on a research project that evaluates the design and implementation efficacy and achievements of a set of Smart Teens projects designed to empower youth and other vulnerable groups to address digital inequality. He / She will work closely with the PI and the project team to:
1. Contribute to all aspects of research process, including study design, instrument development and validation, data analysis, report and manuscript writing, and public disseminations of findings.
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. Work closely with the project manager in the development of training materials for data collection. Provide training and guidance to part-time research staff members regarding tasks at different stages of the project development.
4. Deliver training sessions and workshops for project partners and stakeholders.

Employment Period

To commence as soon as possible until 30 June 2027.

Application Method

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 July 31, 2025, or until the post is filled, whichever is earlier.

Apply Now

Closing Date

July 31, 2025
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