Research Fellow (AI and Visual Monitoring of Coastal Vegetation and Flows)

About the role

The Coastal Protection and Flood Resilience Institute Singapore (CFI Singapore) within the Faculty of Civil and Environmental Engineering at the National University of Singapore is looking for a Research Fellow to join Asst Prof Jiarui (Gary) Lei's team. The post leads the development of visual monitoring methods for the CFI Singapore VASE-R project (V2-P9), based at the Kent Ridge Campus.

Key responsibilities

• Design wave-flume experiments that pair video of vegetation motion with acoustic Doppler measurements.
• Develop and test deep learning models that estimate water velocity and turbulence from that motion.
• Develop computer vision methods that combine RGB-D images with LiDAR surveys to map vegetation structure and bed changes, including scour around mangrove roots and erosion at seagrass patch edges.
• Validate flow estimates against flume and field measurements, and bed reconstructions against measured bed profiles.
• Quantify uncertainty and document the analysis code and field protocols so other teams can repeat the measurements.

Required profile

• A PhD in engineering, computer science or a related field.
• Experience designing and communicating a reproducible analysis.
• Familiarity with coastal hydrodynamics, flume experiments, acoustic Doppler measurements or coastal field surveys is desirable.

Required skills

• Strong Python programming and machine learning skills, including experience developing and validating models on measurement data.
• Experience with computer vision for video, depth imagery or 3D point clouds.

To apply, submit a CV and a short note on your research interests through the university's careers portal; enquiries go to the named supervisor.