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.
