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 bridge academic and industrial counterparts to introduce and implement artificial intelligence methods and prognostic techniques to advance reliability and safety. The goal of the Centre is to improve reliability and safety of critical components and devices, products, systems and sub-systems designed, commissioned and/or manufactured by Hong Kong companies and enterprises. More information about the company can be found at http://www.cairs.hk.

Job Highlights

  • Data visualization and modeling
  • AI
  • Reliability and Safety

Job Description

Postdoctoral Fellow (Ref. No.: CAiRS-R19/P5.3 - Data visualization and modeling for processes, products and systems)
[Appointment period will end on 30 June 2025]

Research Associate (Ref. No.: CAiRS- R20/P5.3 - Data visualization and modeling for processes, products and systems)
[Appointment period will end on 30 June 2025]


The appointees will report to the Project Leader and the Centre Director or his delegate (currently Programme Manager) and perform research and related work in the development of innovative methods for representation of multi-dimensional data and images, in order to facilitate interpretation, modeling, expert checking of validity, and educational use.

The Postdoctoral Fellow appointee will be required to:

  1. convert/conceptualize industrial pain point/motivation to a good structure AI (machine learning/deep learning/reinforcement learning) reliability and safety research associated with the latest technologies such as cloud, 5G, IoT...etc.

  2.  work with talents from industrial collaboratorsand other internal researchers on the research subject matter with project proposal, tests, project report, and communicate internally and externally the research plan;

  3. Leverage and share research expertise and skills on a daily teamwork basis. Has genuine interest in AI (machine/deep learning) technology;

  4. prepare and publish relevant research papers in high-tier peer-reviewed journals; and

  5. perform any other duties as assigned by the Centre Director or his delegates.

The Research Associate appointee will be required to:

  1. plan industrial pain point/motivation to a good structure AI research;

  2. team up with a group of postdoctoral researchers with specific expertise to implement the research work and experiment;

  3. drive to reach the reliability and safety objectives within scheduled timeline;

  4. report project work issues and support devising of project proposal and report; and
  5.  perform any other duties as assigned by the Centre Director or his delegates.


Applicants for the post of Postdoctoral Fellow should have a doctoral degree in Data Science, Computer Science, Engineering, Mathematics or an equivalent qualification in a related field. They should also have a strong analytical skill with interests in big data and artificial intelligence.

Applicants for the post of Research Associate should have a master’s degree in Data Science, Computing Science, Engineering, Mathematics or a related field.

For both posts, applicants should also have/ be:

  1. proficiency in machine/deep learning, programming language (e.g. C, Python, Matlab) and cloud implementation;
  2. good interpersonal and communication skills; and
  3. good command of written and spoken English.

Fresh graduates are also welcome.

Preference will be given to those with research experience in machine learning and data science.



What you enjoy at CAiRS: 

We offer highly competitive salary commensurate with qualifications and experience, in addition to the following benefits:

What you enjoy at Science Park: 

Application Guidelines

  1. Please return the completed application form, together with a detailed curriculum vitae, to the CAiRS by email to careers@cairs.hk 
  2. Application form can be downloaded from here.
  3. The CAiRS reserves the right to fill or not to fill the position. The personal data in relation to your application will be used by CAiRS to assess your suitability for assuming the position you are applying for, and to determine the remuneration and benefits package, if applicable.
  4. Please read the “Personal Information Collection Statement for Recruitment” before completing the application form.
  5. The CAiRS is an equal opportunity employer committed to diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, nationality, family status or physical or mental disabilities.
  6. Applicants who are not invited to an interview within two months of the closing date should consider their applications unsuccessful.
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