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Jobs or company...

Research Fellow (Visual Perception Systems)

  • Full Time, onsite
  • NTU (Nanyang Technology University- Main Office-HR)
  • Singapore, Singapore
Salary undisclosed
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation's long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view .

Position Overview
We are 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 and optimize vision-based perception algorithms for high-speed environments.
  • Integrate perception 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.


Qualifications
  • Ph.D. in Computer Science, Robotics, or a related field.
  • Expertise in visual perception algorithms, such as object detection, tracking, or SLAM.
  • 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.

Hiring Institution: NTU