Part-time Research Assistant(s) I/II (Project reference no.: R7068) (A&SS) (Ref: 26002CG)

We are now looking for a suitable person to fill the following position in the Wu Jieh Yee School of Arts and Social Sciences:

Part-time Research Assistant(s) I/II (Project reference no.: R7068) (A&SS) (Ref: 26002CG)

Major Duties and Responsibilities

The appointee will assist with a research project that focuses on developing an AI-powered, interactive, gamified metaverse for translation technology. The appointee will be responsible mainly for the following:

• Performing statistical analyses on provided datasets, including:

  • Conducting pre–post outcome analyses

  • Conducting parametric tests (e.g., t-tests, ANOVA, regression)

  • Conducting non-parametric tests (e.g., Mann–Whitney U, Wilcoxon signed-rank, Kruskal–Wallis)

• Cleaning, managing, and organizing data as needed for analysis; 

• Interpreting and summarizing analytical findings clearly and accurately; 

• Preparing tables, figures, and statistical summaries for manuscripts and reports;

• Contributing to writing the methods and results sections for publications; 

• Ensuring all analyses adhere to best practices and relevant ethical and reporting standards; and

• Performing other duties as assigned by the principal investigator.

   

Candidates

Candidates should possess the following qualifications, experience and competence:

• A bachelor’s degree (research assistant II) and a master’s degree (research assistant I) in Statistics, Data Science, Psychology, Social Sciences, or a related quantitative field;

• Preferably have experience in publication;

• Experience with both parametric and non-parametric statistical methods;

• Proficiency in at least one statistical software package (e.g., R, Stata, SPSS, SAS, or Python);

• Strong written communication skills, particularly in academic writing;

• Attention to detail and ability to work independently and meet tight deadlines; and

• Detail-oriented, hardworking, responsible, and able to meet tight deadlines and work independently.

Terms and Conditions for Appointment 

Successful candidate will be appointed to a part-time contract. Benefits will be provided in accordance with the statutory provisions.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. 

https://hkmu.taleo.net/careersection/ex_non_full_time/jobapply.ftl?lang=en&job=26002CG

Please contact Dr. Venus Chan by e-mail to [email protected] for enquiries about the post. Please state your expected hourly rate in your CV.

Closing date of application: 8 November 2026

The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful. The University will continue to review applications until the position(s) is/are filled.