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Research Engineer (AI, 3D Vision & Embodied AI for Robotics)

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Engineer (AI, 3D Vision & Embodied AI for Robotics)

Research Engineer

2026-07-27

Location

Kent Ridge Campus

National University of Singapore

Type

Fixed Term Contract

Required Qualifications

Bachelor’s in CS, AI, Robotics or related
Expertise in Computer Vision & 3D Point Cloud
Deep Learning frameworks
3D geometry, visual SLAM, generative AI

Research Areas

AI
3D Vision
Embodied AI
Robotics
SLAM
VLA Models
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Research Engineer (AI, 3D Vision & Embodied AI for Robotics)

Job Description

We are looking for a Research Engineer to drive the “intelligence” of a next-generation construction robot.

Leading Track 1A of the project, you will develop enhanced environmental perception capabilities, allowing a modular robot to navigate unstructured construction sites, recognize temporary objects, and perform high-precision panel installations.

There are opportunities to apply state-of-the-art Embodied AI, including Vision-Language-Action (VLA) models and Diffusion Policies, to real-world robotic manipulation.

Key Responsibilities:

  • Develop and implement multi-modal perception pipelines, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion.
  • Design few-shot learning algorithms for robust detection of temporary construction objects and obstacles.
  • Develop real-time vision measurement systems and intuitive human-machine interaction protocols (e.g., hand/body pose control) for 6-DoF panel alignment.
  • Train and deploy cutting-edge manipulation policies (e.g., VLA models) utilizing high-performance compute clusters.

Qualifications

  • Min Bachelor’s degree in Computer Science, AI, Robotics, or a related discipline.
  • Expertise in Computer Vision, 3D Point Cloud processing, and Deep Learning frameworks.
  • Solid foundation in 3D geometry, visual SLAM, and generative AI methods applied to robotic manipulation.
  • Open to Fixed Term Contract.

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Frequently Asked Questions

🎓What qualifications are required for the Research Engineer role?

Applicants need a minimum Bachelor’s degree in Computer Science, AI, Robotics or a related discipline. Expertise in Computer Vision, 3D Point Cloud processing, and Deep Learning frameworks is essential, along with a solid foundation in 3D geometry, visual SLAM, and generative AI methods for robotic manipulation. Check our postdoctoral guide for career progression tips.

🔬What are the key responsibilities in this Research Engineer position?

The role focuses on developing multi-modal perception pipelines (BIM-based SLAM, sensor fusion), few-shot learning for object detection, real-time vision systems for panel alignment, and deploying Vision-Language-Action (VLA) models on high-performance clusters. Explore similar roles on our research jobs page.

📅Is this a fixed-term contract and what does it mean?

Yes, the position is explicitly open to Fixed Term Contract. This offers focused project-based work on next-generation construction robotics with opportunities for publications and industry impact. See our higher-ed jobs overview for contract types.

🤖What research areas and technologies will I work with?

Core areas include Embodied AI, 3D Vision, Diffusion Policies, Vision-Language-Action models, LiDAR/vision fusion, and traversability mapping on unstructured sites. Related opportunities are listed under faculty and research positions.

📝How do I apply and what is the deadline?

Applications close on 27 July 2026. Submit via the university portal with CV, research statement, and references. Prepare a strong academic CV using our CV guide.

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