Postdoctoral Fellow / Research Associate (Functional Safety Improvement)

Postdoctoral Fellow (Ref. No.: CAiRS-R13/P4.1 - Functional safety improvement through expanded diagnostic coverage and Reduction in testing effort)
[Appointment period will end on 30 June 2025]

Research Associate (Ref. No.: CAiRS-R14/P4.1 - Functional safety improvement through expanded diagnostic coverage and Reduction in testing effort)
[Appointment period will end on 30 June 2025]

Duties

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 using deep learning methods for products in production to identify probable failure modes in advance based on physics of failure.

The Postdoctoral Fellow appointee will be required to:

1. conduct studies of international standards, publications, and patents to support the design and implementation of project;
2. conceptualize, plan and conduct research activities to achieve project deliverables;
3. develop innovative methodology based on sensors, including machine/deep learning models for industrial application;
4. work with team of researchers to conduct research, experiments, and report;
5. write and publish articles in high-tier peer-reviewed journals; and
6. perform any other duties as assigned by the Centre Director or his delegates.

The Research Associate appointee will be required to:

1. conduct research to address industrial reliability and safety issue of product, process and system;
2. develop innovative methodology based on sensors, including machine/deep learning models for industrial application;
3. conduct research, experiments, and report/paper publications as assigned by Centre director or his delegates;
4. perform any other duties as assigned by the Centre Director or his delegates.

Qualifications

Applicants for the post of Postdoctoral Fellow should have a doctoral degree in Computer Science, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.

Applicants for the post of Research Associate should have a master’s degree in Computer Science, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.

For both posts, applicants should also have/ be:

a. professional background or experience with high competency in at least one of the following areas:

• Machine-learning/ data sciences related projects
• Programming: Python, familiarity with open-source libraries including Tensorflow is a plus
• Mechanical design and testing
• Modelling and simulation
• Product reliability
• Materials analysis

b. team player with good analytical and communication skills
c. good command of written and spoken English

Fresh graduates are also welcome.

Salary:

• The maximum monthly salary allowance is HK$23,000 for research talents with a master degree and HK$35,000 for those with a doctoral degree.
• An additional monthly living allowance of HK$10,000 will be provided to research talents with a doctoral degree.

What you enjoy at CAiRS:

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

• 5-day work
• Staff's entitlement to paid annual leave will increase progressively according to the Centre’s guideline
• Flexible working hours (for researchers)
• Medical & dental insurance
• Excellent and friendly office environment (newly renovated and next to seashore)
• Work-life balance
• Free drinks and snacks in office

What you enjoy at Science Park:

• Shuttle bus to Science Park from various locations in HK
• Recreational facilities in Science Park, e.g. gym and swimming pool
• Can apply for studio apartment in InnoCell [link removed] (a smart living and co-creation space designed for I&T talents in Science Park) subject to availability and eligibility

Application Guidelines

1. Please return the completed application form, together with a detailed curriculum vitae, to the CAiRS via Apply Now
2. Application form can be downloaded from here [link removed]
3. Applicants who are not invited to an interview within two months of the closing date should consider their applications unsuccessful

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