About this role
Develop learning-based frameworks and MARL algorithms for cooperative target tracking and coordination of autonomous drone swarms in complex environments. Integrate perception and control modules within simulation frameworks and collaborate with researchers to publish findings and deliver project milestones.
Requires a PhD in Robotics, Aerospace, Mechanical, Electrical Engineering, Computer Science, or AI with a strong background in multi-agent reinforcement learning. Proficiency in Python, deep learning frameworks, and robotics simulation platforms is essential.
What they're looking for
Multi-Agent Reinforcement LearningPythonPyTorchTensorFlowROS/ROS2GazeboAirSimUnity
Frequently asked questions
What does a Research Fellow (Multi-Agent RL for Autonomous Drone Swarm) at Nanyang Technological University Singapore do?
Develop learning-based frameworks and MARL algorithms for cooperative target tracking and coordination of autonomous drone swarms in complex environments. Integrate perception and control modules within simulation frameworks and collaborate with researchers to publish findings and deliver project mi…
What skills does this Research Fellow (Multi-Agent RL for Autonomous Drone Swarm) role need?
Key skills for this role include Multi-Agent Reinforcement Learning, Python, PyTorch, TensorFlow, ROS/ROS2, Gazebo.
How much does a Research Fellow (Multi-Agent RL for Autonomous Drone Swarm) at Nanyang Technological University Singapore pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Research Fellow (Multi-Agent RL for Autonomous Drone Swarm) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Research Fellow (Multi-Agent RL for Autonomous Drone Swarm) role?
You can apply directly on Nanyang Technological University Singapore's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.