Department of Civil and Environmental Engineering
Project Associate
(Ref. 260319003)
[Appointment period: twelve months]
Duties
The appointee will assist the project leader in the research project - “Evidence-driven analytics for civil engineering education: Enhancing student success and curriculum quality”. He/She will be required to:
(a) assist in the general coordination / management of the project;
(b) manage data integration and processing by combining student performance, engagement and demographic information from various university systems;
(c) develop analytics models and algorithms to identify learning patterns, predict student performance, and generate personalised insights;
(d) design and build interactive dashboards and reporting tools to present findings to students and teachers effectively;
(e) assist in the development, testing and deployment of a web-based platform for delivering analytics-driven feedback and suggestions;
(f) conduct pilot studies, evaluate system effectiveness, and contribute to project reports and academic publications;
(g) contribute to academic writing, including papers, proposals and documentation; and
(h) perform any other duties as assigned by the project leader or his/her delegates.
Qualifications
Applicants should:
(a) have a master's degree in Data Science, Computer Science, Statistics, Educational Technology or a related discipline, or a good honours degree with at least three years of relevant research / work experience;
(b) have hands-on experience in data analytics and machine learning, with strong programming skills in Python or R;
(c) have experience in developing data visualisations, dashboards, or web-based tools for presenting analytical results;
(d) be familiar with handling and analysing educational or student data, preferably with experience in learning analytics;
(e) have good academic writing skills in English, with the ability to draft reports and proposals. Prior publications in refereed journals will be considered an advantage;
(f) possess good interpersonal and communication skills, with the ability to collaborate across disciplines;
(g) show strong enthusiasm for research and good self-motivation; and
(h) be responsible, detail-oriented, and able to work independently.
Applicants are invited to contact Dr Barbara W. Y. Siu via email at barbara.siu@polyu.edu.hk for further information.
Conditions of Service
A highly competitive remuneration package will be offered.
Consideration of applications will commence on 26 March 2026 until the position is filled.
Posting date: 19 March 2026