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Research Fellow (Ship Sea Navigation and Path Planning)
Job post no longer accepts applications
a month ago
Posted date
a month ago
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow.

Key Responsibilities:
  • Responsible for building ship simulation environments, developing global path planning algorithm and Deep Reinforcement Learning (DRL) learning models that can process to perform sea navigation task.
  • Develop and implement a ship navigation simulation environment.
  • Design and implement rule-based optimization algorithms such as A-Star, ant colony and genetic algorithm.
  • Design and implement learning algorithms that can process input data and generate ship commands with confidence scores.
  • Develop a human-machine interaction board to provide action recommendation for operator assistance.
  • Conduct thorough research and contribute to the publication of research findings in top-tier conferences and journals.

Job Requirements:
  • PhD degree in Computer Science or Electrical and Electronic Engineering or related fields
  • Proficient programming skills and experience (Python, C++)
  • Experience or knowledge in develop navigation frameworks
  • Experience or knowledge in path planning algorithms such as such as A-Star, ant colony and genetic algorithm
  • Experience or knowledge in Deep Reinforcement Learning and Graph Convolutional Neural Networks for collision avoidance
  • Background in robotic motion planning research projects. (e.g., holonomic and non-holonomic motion models)
  • Experience in developing and working with simulation environments, such as Gazebo, CARLA, or Unity

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

Hiring Institution: NTU
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Research Fellow (Ship Sea Navigation and Path Planning)
a month ago