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Postdoctoral Fellow / Research Associate - Functional safety improvement through expanded diagnostic coverage and Reduction in testing effort

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 using deep learning methods for products in production to identify probable failure modes in advance based on physics of failure
  • The Postdoctoral Fellow appointee will be required to:
  • conduct studies of international standards, publications, and patents to support the design and implementation of project;
  • conceptualize, plan and conduct research activities to achieve project deliverables;
  • develop innovative methodology based on sensors, including machine/deep learning models for industrial application;
  • work with team of researchers to conduct research, experiments, 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 research to address industrial reliability and safety issue of product, process and system;
  • develop innovative methodology based on sensors, including machine/deep learning models for industrial application;
  • conduct research, experiments, and report/paper publications as assigned by Centre director or his delegates;
  • 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 Computer Science, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.
  • Applicants for the post of Research Associate should have a master’s degree in Computer Science, Information Engineering, Mechanical Engineering, Material Science, Physics, Mathematics, or relevant disciplines.
  • For both posts, applicants should also have/ be:
  • professional background or experience with high competency in at least one of the following areas:
  • Machine-learning/ data sciences related projects
  • Programming: Python, familiarity with open-source libraries including Tensorflow is a plus
  • Mechanical design and testing
  • Modelling and simulation
  • Product reliability
  • Materials analysis
  • Team player with good analytical and communication skills
  • Good command of written and spoken English
  • Fresh graduates are also welcome.