Research Fellow, 3D Vision & Spatial AI for Cities

National University of Singapore; Singapore; On-site; SGD 85,000 - 120,000; Full time

Job summary

National University of Singapore (NUS) invites applications for the position of Research Fellow in 3D Computer Vision and Spatial AI within the Department of Architecture at the College of Design and Engineering. The project focuses on urban landscape representation and scalable AI workflows, with an emphasis on cross-disciplinary collaboration and access to state-of-the-art facilities.

The appointment begins early 2027 for one year, with potential renewal up to three years based on performance

Qualifications

• PhD in a relevant field is required.
• Strong experience in point cloud processing, LiDAR, and 3D reconstruction.
• Experience in computer vision, including YOLO-based object detection and real-time 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 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 object detection

Real-time tracking

Computer vision

Communication

Project management

Visualization

Education

PhD in Computer Science/Data Science/Landscape Architecture

Job description

National University of Singapore (NUS) invites applications for the position of Research Fellow in 3D Computer Vision and Spatial AI within the Department of Architecture at the College of Design and Engineering. The project focuses on urban landscape representation and scalable AI workflows, with an emphasis on cross-disciplinary collaboration and access to state-of-the-art facilities.

The appointment begins early 2027 for one year, with potential renewal up to three years based on performance