Part-time Lecturer (AI and healthcare technologies) [2026 Summer Term] (N&H at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Smart Healthcare Technologies, Python, Cursor, Big Data Analytics, Gerontechnology, Personalized Care, Teaching, Lecturing, Course Material Development, Assessment Marking

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. The School of Nursing and Health Sciences offers a number of programmes in Nursing and Health Sciences at Diploma, Higher Diploma, Bachelor and Master Levels. 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 assume roles in teaching foundational knowledge and practical skills in artificial intelligence (AI) and smart healthcare technologies. The appointee will be responsible primarily for the following: • Performing teaching, including delivering lectures, conducting tutorials and seminars, and other teaching activities. • Planning, developing and updating the course materials, including lecture notes, readings, and assessments. • Marking and providing constructive feedback on student assignments, projects, and presentations. • Performing administrative, operational and other duties as assigned. (The appointee will be required to conduct classes in the evenings.) He/she will be normally assigned to work less than 68 hours per four consecutive weeks Candidates Candidates should possess the following qualifications, experience and competence: • A Doctoral degree or above, in computer science, health informatics, artificial intelligence, data science or related disciplines; • Proficiency in Python and Cursor is required. • Proficiency in spoken and written English. • Experience in relevant teaching practice skills at tertiary level is required. • Proficiency in big data analytics, gerontechnology and personalized care will be an advantage. To Apply Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. Applicants who applied for req #2600091 shall not need to re-apply. 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 be responsible for teaching foundational knowledge and practical skills in artificial intelligence and smart healthcare technologies, including delivering lectures, tutorials, and seminars. Duties also involve planning, developing, and updating course materials, marking assignments, and performing assigned administrative tasks.