Research Fellow (Robotic Perception and Navigation)

Centre for Advanced Robotics Technology Innovation (CARTIN) is seeking a highly motivated Research Fellow to join our cutting-edge research team focused on high-speed vision perception for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries of performance, speed, and precision.

Key Responsibilities:

• Develop learning-based navigation algorithms for complex environments.

• Integrate perception and navigation modules into unmanned vehicle platforms using ROS or similar systems.

• Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems.

• Conduct experiments in real-world and simulated environments, with a focus on high-speed performance.

• Publish high-quality research in top-tier conferences and journals.

Job Requirement:

• Ph.D. in Computer Science, Robotics, or a related field.

• Expertise in machine learning and safe navigation algorithms.

• Proficiency in ROS and experience with real-time system integration.

• Strong programming skills in Python and C++.

• Demonstrated ability to conduct independent research and work collaboratively.

• Experience with autonomous vehicles or high-speed robotics is a plus.

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