Part-time Research Assistant II / Technical Assistant (Student Research Ass at Hong Kong Metropolitan University

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Qualitative Interviews, Data Analysis, SPSS, NVivo, Communication Skills, MS Office, Teamwork, Research Experience, Motivation, Independence, Transcription, Publication Writing, Presentation Skills

Industry

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 Nursing and Health Sciences: Major Duties and Responsibilities The appointee shall mainly assist the research team in the research project “Implementing a Design-Based Research Approach to Develop a Robust Generative AI Literacy Program for Older Adults”. The appointee will be responsible mainly for the following: ● Collecting data for the research; ● Conducting qualitative interviews with participants (e.g., running semi-structured interviews and handling transcription); ● Conducting data analysis using SPSS and NVivo; ● Assisting in other areas related to the research project; ● Contributing to writing up papers for publication in peer-reviewed journals; and ● Help prepare and present findings of research activity internally and publicly. He/she will normally be assigned to work not more than 17 hours per week Candidates Candidates should possess the following qualifications, experience and competence: ● A student in an Associate's or Bachelor’s degree; ● Have strong managerial skills, excellent communication skills in Cantonese, Mandarin and English; ● Proficient in MS Office Words, Excel, and PowerPoint; ● Responsible, highly motivated, and able to work independently and in a team; and ● Relevant research experience is preferable. Terms and Conditions for Appointment Successful candidates will be appointed on a temporary part-time contract. Benefits will be provided in accordance with the statutory provisions. Duration The contract period is 10 months. To Apply Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. 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 the research team in a project focused on developing a generative AI literacy program for older adults. Responsibilities include data collection, conducting interviews, data analysis, and contributing to research publications.