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Department of Language Science and Technology

Part-time Research Assistant

(Ref. 260721008)

[Appointment period: six months]

Duties

The appointee will assist the project leader in the research project - “An interactional approach to enhancing translation students’ AI literacy”.  He/She will be required to:

(a)    assist in designing and implementing interactional activities (e.g., workshops, focus groups, peer discussions) aimed at improving translation students' understanding and use of AI tools;

(b)    help develop and validate an AI literacy assessment framework and instruments (e.g., questionnaires) specific to translation education; 

(c)    coordinate with participating classes and instructors to recruit student participants and facilitate data collection (e.g., pre/post surveys, interviews, video recordings of interactions);

(d)    assist in transcribing, coding, and analysing qualitative interaction data (e.g., discourse analysis, thematic analysis) and quantitative data (e.g., Likert-scale responses);

(e)    conduct literature reviews on AI literacy, human-AI interaction, translation pedagogy, and related fields;

(f)     assist in preparing progress reports, conference presentations, and journal articles; and

(g)    perform any other duties as assigned by the project leader or his/her delegates.

Qualifications

Applicants should:

(a)    have a good honours degree or an equivalent qualification;

(b)    have a good command of both written and spoken English and Chinese, with fluency in Putonghua being an advantage; 

(c)    have a strong interest in AI literacy, human-computer interaction, or technology-enhanced learning in translation/language education;

(d)    have experience or familiarity with qualitative research methods (e.g., interviews, focus groups, discourse analysis) and/or quantitative methods (e.g., survey design, basic statistics);

(e)    have good teamwork, communication, and facilitation skills; and

(f)     be proficient in computer applications and basic data analysis tools (e.g., NVivo/MAXQDA for qualitative data, Python/R for quantitative data).

Applicants are invited to contact Prof. Dechao Li at telephone number 2766 7458 or via email at dechao.li@polyu.edu.hk for further information. 

Conditions of Service

The remuneration rate is HK$125 per hour.


Consideration of applications will commence on 28 July 2026 until the position is filled.



Posting date: 21 July 2026