Postdoctoral Fellow / Research Associate (Integrity of Sensor Data)
職位亮點
職位描述
Postdoctoral Fellow / Research Associate (Integrity of Sensor Data) (Ref. No. CAiRS-R23-R24/P5.2) [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 innovative methods for ensuring the reliability of sensors and the integrity of data produced by sensors using the machine learning techniques.
The Postdoctoral Fellow appointeewill 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 appointeewill 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.
Qualifications
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/ be:
- 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.
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
- 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
- Please return the completed application form, together with a detailed curriculum vitae, to the CAiRS via Apply Now
- Application form can be downloaded from here [link removed]
- Applicants who are not invited to an interview within two months of the closing date should consider their applications unsuccessful
The information provided will be treated in strict confidence and be used only for consideration of your application for relevant/similar posts within the Group/Company.
工作種類 | |
工作地區 | Sha Tin |
待遇 | Dental insurance / Five-day work week / Flexible working hours / Free shuttle bus / Medical insurance |
教育程度 |
Degree
|
技能 | Python / Artificial intelligence / Communication |
口語語言 | 良好 English |
書寫語言 | 良好 English |
受僱形式 | Full Time |
行業 | IT / E-Business |
51-100 employees
CENTRE FOR ADVANCES IN RELIABILITY AND SAFETY LIMITED
Centre for Advances in Reliability and Safety Limited (CAiRS), initiated by The Hong Kong Polytechnic University,
is a research centre admitted under AIR@InnoHK cluster
and is established in 2020 with its operation located in the Hong Kong Science Park, New Territories, Hong Kong. The mission of CAiRS is to bridge academic and industrial counterparts to introduce and implement artificial intelligence methods
and prognostic techniques to advance reliability and safety. The goal of the Centre is to improve reliability and safety of critical components and devices, products, systems and sub-systems designed, commissioned and/or manufactured by Hong Kong companies
and enterprises. More information about the company can be found at http://www.cairs.hk.