Research Fellow
5 days ago
Key Responsibilities:
- Conduct research, development, and experimentation of autonomous SLAM and perception algorithms for UAVs in complex and GNSS-denied environments.- Develop multi-modal SLAM software incorporating LiDAR and RGBD cameras to enhance state estimation, sensor fusion, and localization accuracy under challenging conditions.- Validate perception and localization algorithms in both virtual and real-world environments.- Collaborate with team members to integrate SLAM and vision systems into UAV platforms.
Job Requirements:
- Ph.D. in Robotics, Computer Science, Electrical Engineering, or related fields, focusing on Computer Vision, SLAM, or Robotic Perception.- Strong expertise in SLAM, VIO, multi-sensor fusion, and perception algorithms in GNSS-denied environments.- Proficiency in Python, C++, and MATLAB, with advanced skills in ROS/ROS2 and Linux.- Hands-on experience with perception algorithms using TOF, LiDAR, RGBD cameras, and IMU sensors.- Experienced in deploying perception and SLAM algorithms on UAVs and ground robots.- Experience with computer vision algorithms for object detection and tracking.- Familiar with UAV kinematics and dynamics
Hiring Institution: NTU
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