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.
Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in embodied AI and robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment.
Key Responsibilities:
Develop and implement perception and control algorithms for robotic arms and embodied AI systems.
Assist in integrating multimodal AI models (vision, language, force sensors) with robotic systems.
Conduct experiments in both simulated and real-world environments, testing AI-driven robotic behavior.
Work with hardware platforms, including robotic manipulators and mobile robots.
Support the preparation of research publications, reports, and presentations.
Collaborate with faculty, postdocs, and industry partners on AI and robotics research projects.
Assist in the maintenance and operation of research lab equipment and robotic systems.
Job Requirements:
Master’s degree with at least 2 top-tier first-author journal or conference paper in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.
Experience in robotic perception, control, or learning-based methods.
Proficiency in Python and C++ for AI and robotics applications.
Familiarity with robotic middleware (e.g., ROS, MoveIt) and hardware integration.
Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus.
Hands-on experience with robotic arms (e.g., UR5, Franka Emika, or similar) is desirable.
We regret to inform that only shortlisted candidates will be notified.
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