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.
