Research Fellow (3D Computer Vision and Spatial AI)

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

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

• 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.