Part-time Student Trainee (N&HS) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

75.0

Posted On

08 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Literature Review, Data Collection, Data Analysis, Project Coordination, Team Player, MS Office, SPSS, Written English, Spoken English, Written Chinese, Spoken Chinese

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 will assist the Principal Investigator in coordinating a project “Incorporating Artificial Intelligence Pedagogy for Clinical Interviewing Skills Training in Mental Health Nursing Education”, the appointee will be responsible mainly for the following: conducting literature review on relevant topics; recruiting project participants; reviewing project related materials; assisting in conducting intervention; assisting in data collection; performing quantitative and/or qualitative data analysis; and providing project-related assistance. Candidates Candidates should possess the following qualifications, experience, and competence: be currently enrolled full-time in a program at HKMU during the contract period, preferably in nursing or related disciplines; proficient in MS Office Words, Excel, and PowerPoint; proficient in SPSS will be an advantage; a good command of written and spoken English and Chinese; and a good team player and able to coordinate research projects independently. Remuneration HK$75 per hour Duration of Appointment Working hours shall be less than 68 hours per 4 consecutive weeks. Terms and Conditions for Appointment Successful candidate 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 was unsuccessful.

Responsibilities

The appointee will assist the Principal Investigator in coordinating a project focused on incorporating AI pedagogy for clinical interviewing skills training in mental health nursing education. Responsibilities include conducting literature reviews, recruiting participants, assisting in interventions, and performing data analysis.