- Singapore
National University Of Singapore Hiring! Full Time Research Fellow (3D Computer Vision and Spatial AI) in - Ricebowl
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Job Description
Responsibilities
Job Title: Research Fellow (3D Computer Vision and Spatial AI)
University-Level Unit: College of Design and Engineering
Faculty/Department-Level Unit: Architecture
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 14/09/2026
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
University-Level Unit: College of Design and Engineering
Faculty/Department-Level Unit: Architecture
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 14/09/2026
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.
- 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.
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