Research Fellow — Multi-UAV Path Planning & Autonomy

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTU Singapore's School of Mechanical & Aerospace Engineering (MAE) invites applications for a Research Fellow position in Multi-UAV Path Planning. This full-time appointment is funded for about one year and located at NTU Singapore, a leading research university known for its engineering excellence.

The Fellow will develop advanced path planning algorithms for multi-UAV systems, implement solutions in Gazebo/Unity3D, and validate them across virtual and real-world tests.

Qualifications

• Ph.D. in Robotics, Computer Science, Electrical Engineering, or related fields.
• Strong research background in path planning, motion planning, and multi-robot coordination.
• Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic development.
• Familiarity with 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

Responsibilities

• Developing advanced path planning, search, and exploration algorithms for multi-UAV 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

Skills

Python

C++

ROS/ROS2

Path planning

Education

PhD in Robotics

PhD in Computer Science

PhD in Electrical Engineering

Tools

Gazebo

Unity3D

ROS/ROS2

Job description

NTU Singapore's School of Mechanical & Aerospace Engineering (MAE) invites applications for a Research Fellow position in Multi-UAV Path Planning. This full-time appointment is funded for about one year and located at NTU Singapore, a leading research university known for its engineering excellence.

The Fellow will develop advanced path planning algorithms for multi-UAV systems, implement solutions in Gazebo/Unity3D, and validate them across virtual and real-world tests.