Postdoctoral Fellow / Research Associate (AI, Machine Learning, Ensemble...

Postdoctoral Fellow (Ref. No. CAiRS-R7-R8/P2.2 - Machine Learning/ Ensemble methods for individualized fault diagnosis)

[Appointment period will end on 30 June 2025]

Research Associate (Ref. No. CAiRS-R7-R8/P2.2 - Machine Learning/ Ensemble methods for individualized fault diagnosis)

[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 a systematic methodology for effective fault diagnosis and/or predictive maintenance. It is expected that the projects will focus on applications in the transportation industry.

The Postdoctoral Fellow appointee will be required to:

1. conduct studies of related literature and applied research;
2. design and implement AI and data analytical techniques to address reliability and safety issues;
3. supervise junior researchers to conduct studies of related literature and applied research;
4. report research progress and results regularly to project team;
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 studies of related literature and applied research;
   
2. design and implement AI and data analytical techniques to address reliability and safety issues;
3. report research progress and results regularly to project team;
4. support writing and publishing articles in high-tier peer-reviewed journals; and
5. 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, Engineering, Mathematics or an equivalent qualification in a related field. They should also have strong analytical skills with interests in big data and artificial intelligence.

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

For both posts, applicants should also have:

1. proficiency in a programming language (e.g. C, Python, Matlab);
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.

  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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