Job: Full-time R&D

School/Unit: School of Science and Technology

Closing Date: 02/Jul/2026, 11:59:00 PM

Major Duties and Responsibilities

The appointee(s) will mainly assist the project team in a research project "Driving Performance Analysis Assistance System for Driving Tests" (R6965).  The appointee(s) will be responsible mainly for the following:

• Conducting literature review;
• Collecting data;
• Assisting in data annotation;
• Carrying out data pre-processing and post-processing;
• Designing and developing machine learning models;
• Performing analysis on machine learning models;
• Collaborating with the engineering team to implement user interfaces using modern frontend frameworks;
• Collaborating with the engineering team to develop server-side logic and APIs using backend technologies;
• Assisting in documentation; and
• Carrying out other research activities as instructed by the project team.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A master’s degree or above in Electronic Engineering, Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Engineering or a related discipline (for Research Assistant I);
• A bachelor’s degree or above in any of the above-mentioned disciplines (for Research Assistant II);
• Possessing industry experience, particularly full-stack developer experience, will be an advantage;
• Holding a valid Hong Kong driving licence will be an advantage;
• Good command of English and Chinese;
• Good interpersonal and organizational skills; and
• Able to communicate and work effectively in a diverse team.

Please indicate in your CV the position that you wish to be considered for.

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary and an end-of-contract gratuity will be offered to the right candidates.  Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply

Candidates who are interested in joining us may submit their applications via the University's eRecruitment System.

(Applicants who have responded to the previous advertisement posted in May 2026 need not re-apply.)

The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.