Research Fellow (Multi-UAVs Path Planning)

We welcome applications for a Research Fellow position in Multi-UAVs Path Planning 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: 

• Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments.

• Designing efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings.

• Implementing and validating algorithms in both virtual and real-world scenarios to optimize performance in indoor and outdoor environments.

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Job Requirements: 

• Ph.D. in Robotics, Computer Science, Electrical Engineering, or related fields, with a focus on Path Planning, Multi-Robot Systems, or Autonomous Navigation.

• Strong research background in path planning, motion planning, and multi-robots coordination in complex environments.

• Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic development.

• Familiarity with popular path planning algorithms such as RRT, A*, and optimization-based methods.

• Hands-on experience with simulation environments such as Gazebo and Unity3D.

• Excellent verbal and written communication skills in English.

• Experience with deep learning and reinforcement learning algorithms in robotic decision.

• Familiar with UAV kinematics and dynamics.

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We regret that only shortlisted candidates will be notified.