Research Associate (Digital Health) (N&HS) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, PHP, Node.js, Python, Vue.js, React.js, Mobile App Development, IoMT, Raspberry Pi, Arduino, Artificial Intelligence, Generative AI, CI/CD, Software Testing, Quantitative Data Analysis, Qualitative Data Analysis

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 mainly assist with various digital health projects in the School of Nursing and Health Sciences. The appointee will be responsible mainly for the following: Managing various digital health projects involving wearable devices, mobile devices, and health sensors to collect and analyse healthcare data for providing personalised care; coordinating the project implementation, preparing application scenario materials and assessment tools, overseeing data collection, performing quantitative and qualitative data analysis, and leading the database construction and management; designing AI-based prediction and assessment tools, and other relevant GenAI tools useful for the projects; building hardware platforms and software applications for the projects; coordinating and training team members for running digital health applications; liaising with researchers, healthcare professionals, developers and other project partners; drafting reports and presentations relevant to the projects; and performing administrative tasks and any other duties as assigned to support the operation of the projects. Candidates Candidates should possess the following qualifications, experience and competence: a PhD degree in Electronic Engineering, Computer Engineering/Science, Medical Engineering or related discipline; proficiency in backend frameworks such as PHP/Node.js/Python, as well as frontend frameworks like Vue.js and React.js, and mobile app development; familiar with Internet of Medical Things (IoMT) application development using devices such as Raspberry Pi and Arduino, and be familiar with artificial intelligence (AI) techniques, including prediction model building, large/small language models, agentic computing, and generative AI; knowledge of continuous integration/continuous delivery (CI/CD), code review, and software testing would be an advantage; strong leadership and project management skills; excellent command of written and spoken English and Chinese; able to work independently and effectively in a multidisciplinary team; have a strong sense of responsibility and self-motivation; good coordination, problem-solving, communication and interpersonal skills; and experience in managing digital health projects would be an advantage. Terms and Conditions for Appointment An attractive remuneration package, including basic salary and an end-of-contract gratuity will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided. 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 manage digital health projects involving wearable devices and sensors to collect and analyze healthcare data for personalized care. Responsibilities include designing AI-based prediction tools, building hardware and software platforms, and coordinating with multidisciplinary project partners.