Research & Development

Postdoctoral Fellow / Research Associate - Integrity of Sensor Data

Job Responsibilities

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 ensuring the reliability of sensors and the integrity of data produced by sensors using the machine learning techniques.
The Postdoctoral Fellow appointee will be required to:
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.
work with talents from industrial collaborators and other internal researchers on the research subject matter with project proposal, tests, project report, and communicate internally and externally the research plan;
prepare and publish relevant research papers in high-tier peer-reviewed journals;
Leverage and share research expertise and skills on a daily teamwork basis. Has genuine interest in AI (machine/deep learning) technology; and
perform any other duties as assigned by the Centre Director or his delegates.
The Research Associate appointee will be required to:
plan industrial pain point/motivation to a good structure AI research;
team up with a group of postdoctoral researchers with specific expertise to implement the research work and experiment;
drive to reach the reliability and safety objectives within scheduled timeline;
report project work issues and support devising of project proposal and report; and
perform any other duties as assigned by the Centre Director or his delegates.

Job Requirements

Applicants for the post of Postdoctoral Fellow should have a doctoral degree in Data Science, Electronic Engineering, Information Engineering, Computer Science, or an equivalent qualification in a related field. They should also have a strong analytical skill with experience in big data and artificial intelligence research.
Applicants for the post of Research Associate should have a master’s degree in Data Science, Electronic Engineering, Information Engineering, Computer Science, or a related field. They should have a good analytical skill with interests in big data and artificial intelligence research.
For both posts, applicants should also have:
possessing research experience and interest on sensor application usage and the corresponding data integrity issue;
proficiency in machine/deep learning and programming language (e.g. C, Python, Matlab);
good interpersonal and communication skills; and
good command of written and spoken English.
Fresh graduates are also welcome.
Preference will be given to the candidates who have experience in electronic system development.

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