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, Dr. Maggie Kwok, in ongoing research projects with a focus on digital health for building AI chatbots or precision medicine for implementing machine learning for personalized care.
The appointee will be responsible mainly for the following:
Designing, coding, testing, deploying conversational AI chatbots from inception to deployment;
Utilizing Retrieval-Augmented Generation (RAG) and vector databases to deliver personalized health communications;
Implementing safety guardrails and evaluation metrics to mitigate AI hallucinations and ensure reliable health information;
Developing, training, optimizing, and validating machine and deep learning algorithms for personalized care;
Processing, cleaning, and managing large-scale health datasets with data security;
Writing codes for web programming, artificial intelligence applications, machine or deep learning algorithms, and utilizing secure backend APIs to connect trained models with chatbot user interfaces; and
Performing administrative, operational and other duties as assigned.
Candidates
Candidates should possess the following qualifications, experience and competence:
a Master’s degree in computer science, artificial intelligence, data science, health informatics or related disciplines;
High proficiency in programming languages (e.g., R, Python and Cursor) is required;
Prior experience in health-related research, preferably in artificial intelligence or pharmacology, is an advantage;
Deep familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and Large Language Model (LLM) frameworks (e.g., LangChain, LlamaIndex) for conversational AI and predictive modeling application development and deployment;
Practical knowledge of web programming (e.g., HTML, CSS, JavaScript, FastAPI) to deploy applications
Good command of written and spoken English;
Strong sense of responsibility and ability to work independently;
Good communication and interpersonal skills; and
Effective in multi-tasking and time management.
Terms and Conditions for Appointment
Successful candidates will be appointed on a temporary full-time contract for 11 months. 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.
Job Details
Job: Temporary/Part-time R&D
School/Unit: School of Nursing and Health Sciences
Closing Date: 22/Jul/2026, 11:59:00 PM
