Research Scientist (p1.1-1.3)

CENTRE FOR ADVANCES IN RELIABILITY AND SAFETY LIMITED

Centre for Advances in Reliability and Safety Limited (CAiRS), initiated by The Hong Kong Polytechnic University, is established in 2020 with its operation located in the Hong Kong Science Park, New Territories, Hong Kong. The mission of CAiRS is to link up academic and industrial counterparts to introduce and implement new artificial intelligence methods and deep learning techniques with reliability modelling, with the goal of improving the products reliability and systems safety of critical components and devices, products, systems and sub-systems designed, commissioned and/or manufactured by Hong Kong companies and enterprises.

Research Scientist(Ref. No.: CAiRS-RS/P1.1-3)

[Appointment period: each for twenty-four months initially, with possibility of further appointment]

The appointees will report to the Programme Manager and assist in planning and monitoring one or two of the research projects - Informative feature discovery and selection , Early detection of degradation in electronic interconnects and Anomaly detection for systems under indeterminate operating conditions in the areas of electrical reliability and safety, machine learning, and computer vision. They will be required to:

1) develop objectives and design projects and proposals;

2) coordinate and monitor research projects;

3) formulate and implement appropriate methodologies for research projects;

4) conduct experiments, perform data analysis, and evaluate test and research results;

5) supervise project team members;

6) compose research findings for publications, grants, and other documents;

7) assist in grant and manuscript submissions; and

8) perform any other duties as assigned by the Centre Director or his delegate

Qualifications

Applicants should have:

• a master s degree or above in Science, Engineering or a relevant discipline;
• at least two years of research-related experience in the fields of electrical reliability/safety, machine learning and computer vision;
• knowledge and understanding of related research methodologies; and
• experience in research publications and grant applications.

Remuneration

A highly competitive remuneration package will be offered. Applicants should state their current and

expected salary in the application.