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Research Associate (4D Radar Inertial Odometry)

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: NTU

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

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DATE POSTED
April 11, 2025

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