Research Fellow (AI/Robotics/Automation/ Mechanical/Control Engineering/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 fellow will focus on foundation model-based world model development for embodied intelligence, and robotics.

Key Responsibilities:

• The research fellow will be leading the development of foundation model-based world model development for embodied intelligence and robotics.

• The work will involve model development, model training, test rig set-up, and experimental validation.

Job Requirements:

• The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation.

• Candidates having relevant research or working experience in computer vision, VLM/VLA and 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.