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.

Key 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.

Research Fellow (Optical Engineering / Integrated Circuit Science and Engineering)