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JOB DETAILS

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

CompanyOpen University of Hong Kong
LocationChina
Work ModeOn Site
PostedOctober 20, 2026
About The Company
HKMU B&A strives to nurture business professionals with global vision through quality education and extensive opportunities for career development. Effective from 1 September 2021, The Open University of Hong Kong has been renamed as Hong Kong Metropolitan University.
About the Role

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. 

 

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

 

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

 

For more information about the University, please visit https://www.hkmu.edu.hk

 

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



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. 

Please contact Dr. Venus Chan by e-mail to vwmchan@hkmu.edu.hk for enquiries about the post. Please state your expected hourly rate in your CV.

 

 

 
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. 
Key Skills
Statistical analysisData cleaningRStataSPSSSASPythonAcademic writingParametric testsNon-parametric testsANOVARegressionData managementResearch methodology
Categories
Science & ResearchData & AnalyticsEducationTechnology
Benefits
Statutory provisions
Job Information
📋Core Responsibilities
The appointee will perform statistical analyses on datasets for an AI-powered metaverse research project. Responsibilities include data cleaning, interpreting findings, and contributing to the writing of research manuscripts and reports.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
164
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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