Job Description - Part-time Technician (N&HS) (2500081)

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

Part-time Technician (N&HS) - (2500081)

Job

: Temporary/Part-time Non-Academic

School/Unit

: School of Nursing and Health Sciences

Closing Date

: 19/Feb/2025, 3:59:00 PM

Major Duties And Responsibilities

The appointee will be responsible mainly for the following:

• Assisting in project design;
• Coordinating ongoing research projects related to AI-assisted nursing pedagogy studies;
• Assist in participant recruitment and data collection;
• Tracking project progress;
• Troubleshooting and fixing bugs; and
• Performing other duties as assigned.
  
  

Candidates

Candidates Should Possess The Following Qualifications, Experience, And Competence

• A Diploma/Higher Certificate/Higher Diploma/Associate Degree, preferably a recognized Bachelor’s degree, in in Nursing, Psychology, Social Sciences, Public Health, Data Science, Cognitive Science, Statistics or other related disciplines;
• Knowledge of statistical analysis will be an advantage;
• A good command of written and spoken English and Chinese;
• Good interpersonal and organizational skills;
• Be responsible, highly motivated, and able to work independently and as part of a team; and
• Some experience in graphic design or programming is preferred.
  
  

He/she will be normally assigned to work not more than 17 hours per week.

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.

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 is unsuccessful.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.