Senior Navigation Research Scientist
3 days ago
As a Senior Navigation Research Scientist, you will be responsible for developing global path planning algorithms and Deep Reinforcement Learning models that can process to perform sea navigation tasks. You will also design and implement rule-based optimization algorithms such as A-Star, ant colony and genetic algorithm.
Additionally, you will design and implement learning algorithms that can process input data and generate ship commands with confidence scores. Furthermore, you will develop a human-machine interaction board to provide action recommendations for operator assistance.
Job Requirements- A PhD degree in Computer Science or Electrical and Electronic Engineering or related fields is required.
- Proficient programming skills and experience in Python and C++ are essential.
- Experience or knowledge in developing navigation frameworks is necessary.
- Knowledge of path planning algorithms such as A-Star, ant colony and genetic algorithm is required.
- Experience or knowledge in Deep Reinforcement Learning and Graph Convolutional Neural Networks for collision avoidance is desirable.
- A background in robotic motion planning research projects, including holonomic and non-holonomic motion models, is beneficial.
- Experience in developing and working with simulation environments, such as Gazebo, CARLA, or Unity, is preferred.
This role involves conducting thorough research and contributing to the publication of research findings in top-tier conferences and journals.
The Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Senior Navigation Research Scientist.
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