Department of Land Surveying and Geo-Informatics
Research Assistant (two posts)
(Ref. 260320004)
[Appointment period: each for three to twelve months]
Duties
The appointees will assist the project leader in the research project - “AI-driven, GIS-compatible vehicle type detection system riding on fusion of satellite, CCTV, and geospatial data”. They will be required to:
(a) assist in dataset development, including labelling vehicles in satellite and CCTV images, and labelling ground scribbles in CCTV images;
(b) construct a self-supervised AI foundation model framework;
(c) develop a semi‑supervised AI‑based vehicle‑detection algorithm; and
(d) implement a weakly supervised AI‑based ground‑extraction algorithm.
Qualifications
Applicants should:
(a) have an honours degree or an equivalent qualification;
(b) be proficient in machine learning frameworks;
(c) have strong background in AI modelling, quantitative data analysis, mathematical modelling, and experience in methodological development and implementation;
(d) be highly proficient in written and spoken English; and
(e) be willing to work in a collaborative environment.
Preference will be given to those with:
(a) strong background in quantitative methods, geospatial methods, AI and machine learning;
(b) experience in high-performance and cloud computing;
(c) skills in mathematical modelling and scientific computing;
(d) an ability to work independently; and
(e) familiarity with scientific methods and discovery process.
Applicants are invited to contact Miss Helen Tse at telephone number 2766 5917 or via email at puiyu.tse@polyu.edu.hk for further information.
Conditions of Service
A highly competitive remuneration package will be offered.
Consideration of applications will commence on 27 March 2026 until the positions are filled.
Posting date: 20 March 2026