Research Fellow (Ship Sea Navigation And Path Planning)

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