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Research Assistant (Mechanical Engineering / Electrical Engineering / Optical Engineering / Mechatronics / Robotics)

External
NANYANG TECHNOLOGICAL UNIVERSITY logoNanyang Technological University · Nanyang Technological University, Singapore
S$40K–S$79K/yrContractUnknownToday
Computer VisionDocumentationMATLABPythonRobotics
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Responsibilities

  • Design, develop and integrate optical sensing and machine vision systems for surface defect inspection.
  • Support the setup, calibration and validation of imaging and measurement platforms.
  • Conduct experiments, analyse system performance and recommend technical improvements.
  • Collaborate with researchers, industry partners and vendors on system development and implementation.
  • Develop testing protocols, maintain technical documentation, and prepare project reports and presentations.
  • Support research activities, technology evaluation, and innovation initiatives related to industrial inspection systems.

Requirements

  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Optical Engineering, Mechatronics, Robotics, or a related discipline.
  • Knowledge of machine vision, optical instrumentation, sensing technologies, industrial automation, or related areas.
  • Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems will be advantageous.
  • Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.
  • Strong analytical, problem-solving, communication, and project coordination skills.
  • Ability to work effectively both independently and within multidisciplinary teams.
  • We regret to inform that only shortlisted candidates will be notified.

Additional Information

We are seeking a highly motivated Research Engineer to join the NTU-Hyundai Motor Group Innovation Center Singapore (HMGICS) Corporate Lab. The successful candidate will lead the development and integration of advanced optical sensing and machine vision systems for Body-in-White (BIW) surface inspection in automotive manufacturing.


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