Research Assistant III (AI-enabled Fraud Detection in Construction)

Research Assistant I/II in the Department of Real Estate and Construction(Ref.: 534586) (to commence as soon as possible for six months to one year with the possibility of renewal subject to satisfactory performance and funding availability)

Applicants should possess a Bachelors degree and/or a Masters degree. The appointees will assist in the project titled Research on Artificial Intelligence for Integrity and Corruption Prevention in Construction. This project aims to develop AI algorithms to monitor and analyse construction process ensuring compliance with technical and regulatory standards; and support corruption prevention initiatives by minimising opportunities for malpractice or manipulation in construction.

The appointees will

(1) Participate in the frontend and backend development of the anti-fraud system;

(2) Participate in the development of the AI-based fraud detection algorithm; and

(3) Work closely with the research team to facilitate the platforms pilot implementation in real-life construction projects.

We are looking for candidates with:

1. Academic backgrounds in Computer Science Machine Learning Software Engineering or related fields;

2. Proficiency in at least one frontend or backend programming language (Java JavaScript Python Go etc.);

3. Excellent teamwork skills with the ability to closely collaborate with developers and product managers; and

4. Good communication and writing skills in English.

What we offer

The appointees will gain excellent AI system and platform development experience from this post. The appointment will commence as soon as possible on a temporary basis for six months to one year with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave medical benefits and free access to on-campus gyms and libraries.

How to apply:

The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date CV and a 100-word introduction of their current status and future plan. Inquiries about the post should be sent to Dr Junjie Chen via .

Review of applications will commence as soon as possible and continue until April 30 2026 or until the post is filled whichever is earlier.

More about iLab:

Our research team is based in the Faculty of Architecture at The University of Hong Kong. Successful applicants will join the iLab. For more details please visit: University is an equal opportunities employer and
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