The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.
For more details, please view https://www.ntu.edu.sg/mae/research.
Key Responsibilities:
We welcome applications for a Research Engineer position in Robotics Vision and SLAM at the School of Mechanical and Aerospace Engineering at Nanyang Technological University, Singapore. The appointment is full-time and funded for 1 year. The selected candidate will join a research group, equipped with state-of-the-art facilities, to work on the following:
Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered environments.
Implement LiDAR, RGB-D camera, and IMU data pipelines within ROS/ROS2 for robust state estimation.
Carry out flight trials to validate perception modules and refine algorithm parameters.
Collaborate with hardware and systems engineers to integrate and deploy perception software on UAV platforms.
Mandatory Requirements:
Masters degree in Robotics, Computer Science, Electrical/Electronic Engineering, Mechatronics, or a related field.
At least one year of hands-on experience developing or deploying SLAM, VIO, or sensor fusion solutions on UAVs.
Proficiency in C++ and Python, with solid experience in ROS/ROS2 and Linux environments.
Familiarity with LiDAR/camera calibration, sensor error modeling, and basic filtering algorithms (e.g., Kalman, particle filters).
Strong communication skills and ability to document technical work clearly.
Experience with vision-based detection and tracking algorithms.
Familiarity with UAV dynamics and autopilot systems (e.g., Pixhawk).
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU