Research Fellow (Drone Swarm Navigation & Multi-Agent Autonomy)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified
Ph.d. in electrical engineering or robotics
Quadrotor platform experience
Lio/vio and motion planning expertise
The National University of Singapore is seeking a Research Fellow to focus on drone swarm navigation and multi-agent autonomy within its Department of Electrical and Computer Engineering. The role involves developing algorithms for drone swarms operating in challenging environments, requiring a Ph.D. holder with expertise in UAVs, robotics, and multi-agent systems

Job Summary

  • The Research Fellow will develop scalable, robust, and distributed multi-agent autonomy algorithms for drone swarms operating in unknown and GNSS-denied environments.
  • Responsibilities include integrating model-based approaches with learning-based methods to achieve theoretical guarantees and strong empirical performance on real hardware.
  • The role involves mentoring graduate students and leading research directions within the Department of Electrical and Computer Engineering at NUS.

Matching Summary

Match Score: 85

The National University of Singapore is seeking a Research Fellow to focus on drone swarm navigation and multi-agent autonomy within its Department of Electrical and Computer Engineering. The role involves developing algorithms for drone swarms operating in challenging environments, requiring a Ph.D. holder with expertise in UAVs, robotics, and multi-agent systems.

Skills & Requirements

Must-have

  • Ph.D. in Electrical Engineering or Robotics
  • Quadrotor platform experience
  • LIO/VIO and motion planning expertise
  • C++ or Python proficiency with ROS
  • Simulation tools like IsaacSim or Gazebo

Nice-to-have

  • Multi-robot ad hoc wireless communication
  • Experience supervising graduate students
  • Model-based optimization approaches
  • Reinforcement learning implementation skills

Key Requirements

  • Ph.D. degree required
  • Strong hands-on quadrotor navigation skills
  • Proficiency in C++ or Python programming
  • Experience with ROS and simulation environments
  • Ability to publish independent research

Work Rights

Not specified

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