Research Fellow: Multi-UAV Path Planning & Autonomy

ntu; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU's School of Mechanical & Aerospace Engineering is seeking a Research Fellow for Multi-UAVs Path Planning. The role focuses on developing advanced path planning and coordination for UAV fleets, with strong emphasis on ROS/ROS2 and real-world validation.

The appointment is full-time for about one year, backed by state-of-the-art facilities, and requires a PhD in robotics, CS or EE, with expertise in 3D path planning and simulation tools like Gazebo and Unity3D.

Qualifications

• PhD in Robotics, Computer Science, Electrical Engineering, or related field with focus on path planning.
• Strong research background in path planning, motion planning, and multi-robot coordination.
• Proficiency in Python and C++, with ROS/ROS2 experience.
• Familiarity with RRT, A*, and optimization-based methods.
• Hands-on experience with Gazebo and Unity3D; excellent English communication.

Responsibilities

• Develop advanced path planning, search, and exploration algorithms for multi-UAV systems in unknown 3D environments.
• Design efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings.
• Implement and validate algorithms in both simulated and real-world scenarios to optimize performance indoors and outdoors.

Job description

NTU's School of Mechanical & Aerospace Engineering is seeking a Research Fellow for Multi-UAVs Path Planning. The role focuses on developing advanced path planning and coordination for UAV fleets, with strong emphasis on ROS/ROS2 and real-world validation.

The appointment is full-time for about one year, backed by state-of-the-art facilities, and requires a PhD in robotics, CS or EE, with expertise in 3D path planning and simulation tools like Gazebo and Unity3D.