Research Fellow (Multi-UAVs Path Planning)
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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.
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.
We regret that only shortlisted candidates will be notified.
