Research Fellow (Optical Engineering / Integrated Circuit Science and Engineering)
External
Nanyang Technological University · Nanyang Technological University, SingaporePrepare for this interview
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Responsibilities
- Conduct research on structured-light three-dimensional imaging, optical encoding, computational imaging and AI-assisted reconstruction
- Design, build and calibrate optical imaging and three-dimensional sensing experimental systems
- Develop algorithms for image processing, stereo matching, point-cloud reconstruction and quantitative performance evaluation
- Perform simulations, experiments, data acquisition and statistical analysis
- Prepare research manuscripts, technical reports, presentations and project deliverables
- Support project management, collaboration, data organization and laboratory safety
- Job Requirements:
- PhD degree in Optical Engineering, Integrated Circuit Science and Engineering, or a related discipline
- Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning or experimental photonics
- Hands-on experience in optical system setup, calibration, image acquisition and three-dimensional reconstruction
- Proficiency in Python, MATLAB and C++
- Good analytical, problem-solving, written and oral communication skills
- Ability to work independently and collaboratively in a multidisciplinary research environment
- We regret to inform that only shortlisted candidates will be notified.
Additional Information
School of Physical and Mathematical Sciences / Centre for Disruptive Photonic Technologies is a research-intensive academic unit at Nanyang Technological University, Singapore, focusing on frontier research in photonics, optical imaging, computational sensing and related interdisciplinary technologies. We are looking for a Research Fellow to conduct research in advanced optical imaging, structured-light three-dimensional reconstruction, computational photonics and AI-assisted sensing. The role will focus on developing optical encoding methods, imaging-system calibration approaches, reconstruction algorithms and experimental validation platforms for high-precision, high-speed and robust three-dimensional sensing.
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