Department of Rehabilitation Sciences
Project Assistant
(Ref. 260519010)
[Appointment period: twelve months initially, with possibility of further appointment]
Duties
The appointee will assist the project leader in the project - “Movable AI-driven platform (MAP) to overcome challenges in work-based learning (WBL) in higher education”. He/She will be required to:
(a) build and integrate AI services for web/content management system (CMS) solutions, including prompt templates/workflows, data processing and rapid prototyping;
(b) build and refine AI-enabled communication features (e.g. chatbot/robot-style interactions), including conversation flow design and Q&A knowledge base management;
(c) develop and maintain web-based and/or CMS-based applications to support teaching and learning initiatives;
(d) develop and maintain backend services and databases as needed;
(e) prepare technical documentation and basic user guides and provide troubleshooting support for internal users; and
(f) perform any other duties as assigned by the project leader or his/her delegates.
Qualifications
Applicants should:
(a) have an honours degree in Computer Science, Information Technology, Data Science, Engineering or other related disciplines or an equivalent qualification;
(b) possess solid programming skills, preferably in JavaScript/TypeScript and/or Python;
(c) have experience in web development (front-end and/or back-end) and application programming interface (API) integration; preferably with experience in CMS;
(d) be familiar with AI-related development concepts (e.g. prompt design, model integration and evaluation) and/or have hands-on experience using OpenAI or similar AI tools/APIs;
(e) have knowledge of modern software deployment models, including cloud-hosted services (SaaS) and/or containerised on-premise deployment (e.g. Docker), with basic understanding of security and access control practices;
(f) have a good command of both written and spoken English and Chinese, with fluency in Cantonese and Putonghua; and
(g) be self-motivated, well-organised, detail-oriented and capable of handling multiple tasks independently.
Fresh graduates are welcome to apply.
Applicants are invited to contact Prof. Shirley Ngai at telephone number 2766 4801 or via email at shirley.ngai@polyu.edu.hk for further information.
Conditions of Service
A highly competitive remuneration package will be offered.
Consideration of applications will commence on 26 May 2026 until the position is filled.
Posting date: 19 May 2026