Research Fellow (Multi-UAVs Path Planning)

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

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 .

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 about a 1 year (depends on hiring date). The selected candidate will join a group equipped with state-of-the-art facilities to work on the following:

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.

Mandatory 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 for research work

Preferred Requirements

• Experience with deep learning and reinforcement learning algorithms in robotic decision.
• Familiar with UAV kinematics and dynamics.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU