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Drone Swarm RL Research Assistant: Urban Clutter

NATIONAL UNIVERSITY OF SINGAPORE

Singapore

On-site

SGD 60,000 - 90,000

Full time

Today
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Job summary

A leading educational institution in Singapore is seeking a candidate to develop deep multi-agent reinforcement learning methods for drone collaboration in urban environments. Responsibilities include investigating traditional and AI strategies for effective swarm planning while handling constraints like limited computation. Candidates should have excellent coding abilities in Python and PyTorch, experience with drone deep learning applications, and strong communication skills. This role offers a unique opportunity to contribute to cutting-edge AI research and development.

Qualifications

  • Proficient in distributed deep reinforcement learning and Transformers.
  • Ability to summarize and review literature effectively.
  • Experience with simulation environments like Isaac Lab and ROS Gazebo.

Responsibilities

  • Develop multi-agent reinforcement learning approaches for drones.
  • Investigate conventional and AI-based methods for swarm planning strategies.
  • Create simulation environment for training AI policies and deploy controllers on hardware.

Skills

Excellent coding skills in python with pytorch
Literature review/summarizing skills
Simulations abilities (e.g., Isaac Lab, ROS Gazebo)
Experience with implementation of deep learning model on aerial robots
Experience publishing papers
Good writing/spoken communication skills
Job description
A leading educational institution in Singapore is seeking a candidate to develop deep multi-agent reinforcement learning methods for drone collaboration in urban environments. Responsibilities include investigating traditional and AI strategies for effective swarm planning while handling constraints like limited computation. Candidates should have excellent coding abilities in Python and PyTorch, experience with drone deep learning applications, and strong communication skills. This role offers a unique opportunity to contribute to cutting-edge AI research and development.
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