Research Assistant: SLAM & Perception for Robotic Assembly

National University of Singapore; Singapore; On-site; SGD 36,000 - 54,000; Part time

Job summary

The National University of Singapore invites applications for one Research Assistant position in the Constructive Machines Lab within the Civil and Environmental Engineering Department. The role focuses on developing SLAM and perception algorithms for mobile manipulation systems that build and map evolving structures.

Work will begin in simulation and progress to real robots, with collaboration across the hardware team.

Qualifications

• Bachelor's degree in CS, EE, ME, robotics or related field.
• Master's degree preferred.
• Solid SLAM and state estimation fundamentals.
• Strong C++/Python programming with ROS/ROS2 experience.

Responsibilities

• Develop and evaluate SLAM and state estimation for dynamic construction environments.
• Perceive and track partially built structures against the design model.
• Develop multi-robot state estimation with map merging and co-localisation.
• Implement task-and-motion-planning informed active perception.
• Benchmark methods in simulation and deploy on lab platforms.

Skills

C++ and Python

ROS/ROS 2

3D mapping

Education

Bachelor's degree

Master's degree preferred

Tools

ROS 2

Gazebo / simulation

Job description

The National University of Singapore invites applications for one Research Assistant position in the Constructive Machines Lab within the Civil and Environmental Engineering Department. The role focuses on developing SLAM and perception algorithms for mobile manipulation systems that build and map evolving structures.

Work will begin in simulation and progress to real robots, with collaboration across the hardware team.