Research Assistant (AI / Robotics / Automation / Computer Science)

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 https://www.ntu.edu.sg/mae/research. The research assistant will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles Key Responsibilities: The research assistant will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles. The work will involve model training, test rig set-up, and experimental validation Job Requirements: The candidate must at least have a Bachelor's Degree in AI, Robotics, Automation, Computer Science, etc. Strong background in AI, deep learning, autonomous driving, natural language processing. Candidates having relevant research or working experience in AI, deep learning, natural language processing, and AI decision-making algorithms for end-to-end autonomous driving 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.