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Research Fellow (Robotic Inspection)

Research Fellow (Robotic Inspection)

National University Of Singapore
Fresher
SGD 5,800 - 6,200 per month
Early Applicant
  • Posted 13 days ago
  • Be among the first 10 applicants

Job Description

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-%28Robotic-Inspection%29/34794-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description


We are seeking a Research Fellow to work on robotic scanning, 3D perception, inspection and last-mile navigation in construction or infrastructure environments. Interested applicants are invited to submit their CV and selected publications to NUS Career Portal before 30 Nov 2026. Shortlisted candidates will be contacted for further discussion.

Job Requirements

The candidate should have a PhD degree. with background in the following areas:

. Proficiency in laser scanning, LiDAR, and Simultaneous Localization and Mapping (SLAM), including open-source frameworks and algorithms for 3D scene reconstruction.

. Experience in 3D perception, mapping, localization, ground robot navigation, and collision avoidance.

. Familiarity with ROS/ROS2 and Linux platforms, as well as strong programming skills, is expected.

. The candidate will also contribute to research in semantic 3D mapping, traversability analysis and robot trajectory optimisation, especially for GPS-denied, cluttered environments. LiDAR-based object detection algorithms and integrating real-time inference for deployment on robotic platforms.

. The candidate will also implement the integration of perception and robot navigation components for last-mile navigation experiments.

. Candidates should demonstrate knowledge and expertise in the aforementioned areas, with a proven track record of peer-reviewed publications.

. The appointed candidate will support the planning and execution of research projects together with postdoctoral researchers, PhD students, and research assistants within the research group and the Centre for Digital Building Technology.


(. Candidates who are in the final stages of PhD studies (i.e. submitted thesis pending oral defence) may also be considered)

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Key Skills

collision avoidance

traversability analysis

robot trajectory optimisation

semantic 3D mapping

ground robot navigation

Simultaneous Localization and Mapping (SLAM)

LiDAR-based object detection algorithms

3D scene reconstruction

3D perception mapping

ROS2

real-time inference