Research Fellow - 3D Vision & Urban Spatial AI

National University of Singapore; Singapore; On-site; SGD 65,000 - 90,000; Full time

Job summary

National University of Singapore invites applications for a Research Fellow position in 3D computer vision and Spatial AI. The role is based at Kent Ridge Campus and starts early 2027, with a one-year appointment that may be renewed for up to three years based on performance.

The candidate will develop 3D urban landscape representations, implement AI-driven image/video analysis workflows, and assist with project coordination while collaborating with a dynamic team addressing urban challenges in

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.

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.

Skills

Point cloud processing

LiDAR

3D reconstruction

Gaussian Splatting

YOLO-based object detection

Real-time object tracking

Problem-solving

Communication

Project management

Education

PhD in Computer Science, Data Science, Landscape Architecture, or a related field

Tools

Design tool development

Visualization

YOLO

Job description

National University of Singapore invites applications for a Research Fellow position in 3D computer vision and Spatial AI. The role is based at Kent Ridge Campus and starts early 2027, with a one-year appointment that may be renewed for up to three years based on performance.

The candidate will develop 3D urban landscape representations, implement AI-driven image/video analysis workflows, and assist with project coordination while collaborating with a dynamic team addressing urban challenges in