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Department of Applied Social Sciences

Research Assistant (several posts)

(Ref. 260730016)

[Appointment period: each for twelve months initially, with possibility of further appointment]

Duties

The appointees will assist the project leader in the research projects - “Understanding and promoting healthy lifestyles among secondary school students” and/or “Youth development and wellbeing in the AI and digital society: A PolyU-SEU collaborative research initiative”.  They will be required to:

(a)    assist in the preparation of research instruments, such as interview protocols and questionnaires;

(b)    conduct literature review;

(c)    liaise with different organisations to support recruitment of participants;

(d)    collect and analyse quantitative and qualitative data;

(e)    assist in programme development and evaluation;

(f)     assist in report writing and manuscript preparation; and

(g)    perform any other duties as assigned the Head of Unit or his/her delegates.

Qualifications

Applicants should:

(a)    have an honours degree, preferably in Psychology, Social Work, Public Health, Education, Computational Social Science or other related disciplines or an equivalent qualification;

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

(c)    have strong statistical knowledge and data analysis skills; 

(d)    have research experience and/or training in data collection and analysis;

(e)    have experience or training in intensive longitudinal data analysis and application of machine learning techniques to structured numerical and unstructured textual data;

(f)     have good knowledge in quantitative, qualitative, and computational methods, including inferential statistics and causal inference using statistical software such as Mplus, Stata, or R; 

(g)    be proficient in using Python for data processing and text mining, and traditional qualitative techniques such as thematic analysis and interview coding;

(h)    be familiar with statistical methods including autoregressive models, structural equation modeling (SEM), dynamic SEM, psychological network analysis;

(i)     have strong research interests in lifestyle medicine, youth development, digitally mediated program development and evaluation; 

(j)     have a strong sense of responsibility and good interpersonal skills; and

(k)    be a good team player and able to work independently.

Applicants are invited to contact Prof. Yu Lu via email at lu.yu@polyu.edu.hk for further information.

Conditions of Service

A highly competitive remuneration package will be offered.


Consideration of applications will commence on 14 August 2026 until the positions are filled.



Posting date: 30 July 2026