Centre for Advanced Robotics Technology Innovation (CARTIN) are looking for a Research Associate with experience in radar and IMU odometry to join a cutting-edge SLAM project for harsh environments. The Research Associate will develop a radar-inertial fusion module using 4D imaging radar and IMU for robust ego-motion estimation under low visibility, with strong skills in SLAM, signal processing, sensor fusion, and ROS2 implementation.
Key Responsibilities:
Design and implement real-time radar-inertial odometry algorithms.
Extract ego-motion estimation from 4D radar and fuse with IMU data.
Evaluate performance in degraded visual conditions (e.g., fog, rain, smoke).
Integrate odometry outputs with downstream SLAM and mapping modules.
Work closely with hardware and system integration teams.
Perform test and validation in fire fighting environments
Job Requirements:
Master's degree in Robotics, EE, CS or related fields.
Strong background in 4D radar point cloud processing, sensor fusion, Kalman filtering.
Experience with point cloud based odometry, e.g., LOAM/ Fast-LIO/ LIO-SAM etc.
Proficient in C++/ Python and ROS1/2.
Familiar with real-world SLAM datasets and evaluation metrics.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTUIf an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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