Part-time Research Assistant I or II (Project code: R7049) [A&SS] at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Statistical Tests, Report Writing, Project Coordination, SPSS, Regression Analysis, Correlation Analysis, Detail-Oriented, Hardworking, Responsible, Deadline Management, Independent Work, Written English, Spoken English, Written Chinese, Spoken Chinese

Industry

Higher Education

Description

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 School of Arts and Social Sciences: Major Duties and Responsibilities The appointee will assist in a research project related to AI-powered mobile learning for translation technology (Project code: R7049). He/she shall mainly be responsible for the following: Performing quantitative data analysis (including both parametric and non-parametric tests); Writing reports for statistical results, Providing assistance in project coordination, 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) or master’s degree (research assistant I) in statistics or a related discipline; familiar with quantitative analysis and relevant tools, e.g. SPSS; preferably have experience in research works, including statistical analyses, e.g., regression and correlation and writing the reports; good command of both written and spoken English and Chinese; and detail-oriented, hardworking, responsible, and able to meet deadlines and work independently. Terms and Conditions for Appointment Successful candidate will be appointed on 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.

Responsibilities

The appointee will assist in a research project related to AI-powered mobile learning for translation technology. Responsibilities include performing quantitative data analysis, writing reports for statistical results, and providing assistance in project coordination.