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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: 

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  Conduct research, development, and experimentation of autonomous SLAM and perception algorithms for UAVs in complex and GNSS-denied environments.

  
  


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  Develop multi-modal SLAM software incorporating LiDAR and RGBD cameras to enhance state estimation, sensor fusion, and localization accuracy under challenging conditions.

  
  


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  Validate perception and localization algorithms in both virtual and real-world environments.

  
  


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  Collaborate with team members to integrate SLAM and vision systems into UAV platforms.

  
  

Job Requirements: 

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  Ph.D. in Robotics, Computer Science, Electrical Engineering, or related fields, focusing on Computer Vision, SLAM, or Robotic Perception.

  
  


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  Strong expertise in SLAM, VIO, multi-sensor fusion, and perception algorithms in GNSS-denied environments.

  
  


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  Proficiency in Python, C++, and MATLAB, with advanced skills in ROS/ROS2 and Linux.

  
  


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  Hands-on experience with perception algorithms using TOF, LiDAR, RGBD cameras, and IMU sensors.

  
  


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  Experienced in deploying perception and SLAM algorithms on UAVs and ground robots.

  
  


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  Experience with computer vision algorithms for object detection and tracking.

  
  


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  Familiar with UAV kinematics and dynamics

  
  

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We regret that only shortlisted candidates will be notified.