Research Assistant (Mechanical Engineering / Electrical Engineering / Optical Engineering / Mechatronics / Robotics)
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.
Key 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.
Hiring Institution: NTUSkills Required
- Bachelor's degree in Mechanical, Electrical, Optical Engineering, Mechatronics, Robotics, or related discipline.
- Knowledge of machine vision, optical instrumentation, sensing technologies, and industrial automation.
- Strong analytical, problem-solving, communication, and project coordination skills.
- Ability to work effectively independently and within multidisciplinary teams.
- Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems.
- Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW, or equivalent tools.
What We Do
The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors with a focus on patient-centered care, integrating precision medicine, Artificial Intelligence (AI) in healthcare, and medical humanities into its undergraduate medical degree program.
