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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.

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The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to conduct research on AI-driven end-to-end autonomous driving algorithms.

Key Responsibilities:

  • The research fellow will be leading the development of AI-driven end-to-end autonomous driving algorithms.
  • The work will involve algorithm development, simulation, test rig set-up, and experimental validation.

Job Requirements:

  • The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc.
  • Strong background in end-to-end autonomous driving, foundation models and reinforcement learning.
  • Candidates having relevant research or working experience in autonomous driving and reinforcement learning, foundation models will be preferred.
  • Good communications skills and the ability to work independently and facilitate projects with minimal supervision.
  • Able to contribute to Journal/Conference papers with good presentation skills.
  • Able to plan and organize well and adhere to deadlines

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