Postdoctoral Fellow / Research Associate (Forecasting Maintenance)

Postdoctoral Fellow (Ref. No.: CAiRS-R11/P3.3 - Forecasting maintenance)
[Appointment period will end on 30 June 2025]
Research Associate (Ref. No.: CAiRS- R12/P3.3 - Forecasting maintenance)
[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 the development of AI-based prognostic techniques to assess the extent of degradation from normal condition and enable the condition monitoring and predictive maintenance actions for electrical systems/devices.

The Postdoctoral Fellow appointee will be required to:
• conduct AI research to address industrial reliability and safety issue of product, process, and system;
• conceptualize, plan and conduct research activities to achieve project deliverables;
• develop innovative methodology based on sensors, machine/deep learning models for industrial application;
• work with team of researchers and lead junior researchers to conduct research, experiment, and report;
• write and publish articles in high-tier peer-reviewed journals; and
• perform any other duties as assigned by the Centre Director or his delegates.
 

The Research Associate appointee will be required to:
• conduct AI research to address industrial reliability and safety issue of product, process, and system;
• develop innovative methodology based on sensors, machine/deep learning models for industrial application;
• conduct research, experiments, and report/paper publications; and
• perform any other duties as assigned by the Centre Director or his delegates.
 

Qualifications
Postdoctoral Fellow: Doctoral degree holder in Computer Science, Electronic/Electrical Engineering, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.
Research Associate: Master’s degree holder in Computer Science, Electronic/Electrical Engineering, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.
 

Professional background or experience with at least one of the following areas:
• Machine-learning/ data sciences/ digital twin/ IoT technology related projects
• Software: Python, Labview, Matlab, COMSOL etc. Familiar with open-source libraries including Tensorflow is a plus

• System/device reliability and safety, and Prognostic Health Management (PHM)
• Good team player with excellent analytical and communication skills
• 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 (a smart living and co-creation space designed for I&T talents in Science Park) subject to availability and eligibility

Application
Please send a completed application form, together with a detailed curriculum vitae via email to [Apply Now] 

Application form can be downloaded from here

Deadline for application: Recruitment will continue until the positions are filled.
 
 

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