Postdoctoral Fellow / Research Associate / Research Assistant (CAiRS-R1718/P1.1-1.3)
- Location
- Hong Kong (HK)
- Posted
- 05 Feb 2021
- End of advertisement period
- 22 Mar 2021
- Ref
- CAiRS-R1718/P1.1-1.3
- Academic Discipline
- Engineering & Technology, Chemical Engineering, Civil Engineering, Computer Science, Electrical & Electronic Engineering, General Engineering, Mechanical & Aerospace Engineering, Physical Sciences, Mathematics & Statistics, Physics & Astronomy
- Job Type
- Research Related, Research Associate, Research Assistants / Officers, Research Support, Other Research Related
- Contract Type
- Fixed Term
- Hours
- Full Time
Centre for Advances in Reliability and Safety Limited
- Postdoctoral Fellow (Ref. No.: CAiRS-R17/P1.1-1.3)
[Appointment period: thirty-six months]
- Research Associate / Research Assistant (Ref. No.: CAiRS-R18/P1.1-1.3)
[Appointment period: thirty-six months]
Duties
The appointees will assist the project leaders and Programme Manager in the research projects - “Informative feature discovery and selection”, “Early detection of degradation in electronic interconnects”, “Anomaly detection for systems under indeterminate operating conditions”. The projects will develop machine-learning-based prognostic techniques for health monitoring and lifetime prediction of modern electronic systems.
Qualifications
Applicants for the post of Postdoctoral Fellow should have a doctoral degree in Electrical/Electronic Engineering, or an equivalent qualification in a related field and must have no more than five years of post-qualification experience at the time of application. They should have a good publication record.
Applicants for the post of Research Associate / Research Assistant should have a good honours degree or above in Electrical/Electronic Engineering or a related field.
For both posts, applicants should also have:
- good experimental skills; and
- good interpersonal and communication skills; and
- a good command of written and spoken English.
Preference will be given to those with background in machine learning/power electronics/power semiconductor.
Applicants are invited to contact Prof. Lam Kin-man Kenneth at email kin.man.lam@polyu.edu.hk for further information.
Remuneration
A highly competitive remuneration package will be offered. Applicants should state their current and expected salary in the application.
Application
Please send a detailed curriculum vitae via email to careers@cairs.hk
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