Department of English and Communication
Part-time Research Assistant (three posts)
(Ref. 261016017)
[Appointment period: each for five months]
Duties
The appointees will assist the project leader in the research project – “Technology in the language teaching classroom”. The project requires a statistician or an individual with exceptional statistical analysis skills to support research on computer-assisted language learning (CALL) and AI-integrated language learning. They will be required to:
(a) conduct quantitative data analysis (e.g., descriptive and inferential statistics, regression, ANOVA, SEM, multilevel modelling, or other techniques relevant to the project) using software such as SPSS, R, Stata, or Python;
(b) perform qualitative data analysis using NVivo (including coding), thematic analysis, and management of interview, focus group, and/or open-ended survey data;
(c) assist with manuscripts for SSCI/Scopus journals; and
(d) perform any other duties as assigned by the project leader or his/her delegate(s).
Qualifications
Applicants should have a bachelor’s degree or above in Applied Linguistics, TESOL, Educational Technology, or a related field, or an equivalent qualification. They should also have good communication skills in English.
Preference will be given to those who have:
(a) demonstrated expertise in statistical analysis for educational or social science research;
(b) proficiency in NVivo for qualitative data analysis;
(c) a good working knowledge of quantitative and qualitative approaches and methods;
(d) evidence of scholarly output, such as a publication in an SSCI/Scopus-indexed journal or a manuscript under review at such an outlet;
(e) familiarity with AI tools in language education (e.g., chatbots, generative AI and intelligent tutoring systems);
(f) experience in conducting systematic reviews or meta-analyses;
(g) strong academic writing skills in English; and
(h) experience in mixed-methods research and proficiency in R or Python.
Opportunities for co-authorship may be available, depending on the nature and extent of the appointee’s contributions to the project.
Applicants are invited to submit an application together with a cover letter, CV, analysis sample and two referees.
Applicants are invited to contact Dr Fu Jo-shan via email at joshan.fu@polyu.edu.hk for further information.
Conditions of Service
The remuneration rate is HK$125 per hour.
The closing date for application is 21 October 2026.
Posting date: 16 October 2026