School of Hotel and Tourism Management
Research Assistant / Part-time Research Assistant
(Ref. 260702004)
(1) Research Assistant
[Appointment period: twelve months]
(2) Part-time Research Assistant
[Appointment period: twelve months]
Duties
The appointees will assist the project leader in the research project - “Developing an AI-empowered and student-centered institutional self-awareness and well-being support system: From assessment to intervention through parameter-efficient fine-tuning of foundation models”. The primary role is to take responsibility for full-stack integration and database management, bridging the frontend interface and backend AI services to ensure a seamless, robust, and scalable system. He/She will be required to:
(a) design, implement, and maintain the system database (e.g., MySQL, PostgreSQL, or NoSQL solutions) to store user profiles, assessment data, intervention records, and model interaction logs;
(b) develop and maintain data APIs to enable efficient communication between the frontend (web/mobile application) and backend AI models (LLM inference, multimodal processing, etc.);
(c) integrate frontend components with backend services, ensure data consistency, security, and real-time performance; and
(d) collaborate closely with AI engineers (for model integration) and frontend developers (for UI/UX data flow), as well as psychology researchers.
Qualifications
Applicants should:
(a) have an honours degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or an equivalent qualification;
(b) have proven experience in full-stack or backend development, with strong proficiency in at least one backend language (e.g., Python, Node.js, Java) and familiarity with frontend technologies (e.g., React, Vue.js) to facilitate integration;
(c) possess solid knowledge of databases management systems (e.g., MySQL, PostgreSQL, MongoDB) and experience in designing schemes, writing optimised queries, and ensuring data integrity;
(d) have hands-on experience with version control (Git) and basic deployment workflows (Docker, cloud services such as AWS, Azure, or GCP is a plus);
(e) demonstrate strong problem-solving abilities in debugging cross-system issues (frontend-backend-databases) and performance tuning; and
(f) have good communication skills in English and Putonghua, with the ability to translate requirements from both technical and non-technical team members into practical database and integration solutions.
Preference will be given to those with previous experience in building data-driven applications for mental health, education, or AI-assisted systems.
Applicants are invited to contact Prof. Maxime X. Wang at telephone number 3400 2160 or via email at maxime.wang@polyu.edu.hk for further information.
Conditions of Service
For full-time appointment, a highly competitive remuneration package will be offered.
For part-time appointment, the remuneration rate is HK$125 per hour.
Consideration of applications will commence on 9 July 2026 until the positions are filled.
Posting date: 2 July 2026