We welcomes applications for a Research Fellow position in Robotics Vision and SLAM at the School of Mechanical and Aerospace Engineering at Nanyang Technological University, Singapore. This is a full-time appointment funded for 1 year (possibility of a one-year extension).
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
We regret that only shortlisted candidates will be notified.