Research Fellow (3D Computer Vision and Spatial AI)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link - https://careers.nus.edu.sg/job/Research-Fellow-%283D-Computer-Vision-and-Spatial-AI%29/34416-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for positions in an interdisciplinary research project on urban landscape representation. Successful candidates will join a dynamic and collaborative team working on large-scale, externally funded research addressing pressing urban challenges in Singapore and beyond. The position offers a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the beginning of 2027. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibilities
• Develop 3D urban landscape representations using point cloud processing, segmentation, and Gaussian Splatting.
• Develop AI-based image and video analysis workflows for object detection, recognition, and tracking.
• Support project coordination and delivery.

Qualifications

• PhD in Computer Science, Data Science, Landscape Architecture, or a related field.
• Strong experience in point cloud processing, LiDAR, 3D reconstruction, and Gaussian Splatting.
• Experience in computer vision, including YOLO-based object detection and real-time object tracking.
• Preferred experience in design tool development and visualization.
• Strong problem-solving, communication, and project management skills.