job description
Are you passionate about the intersection of robotics, computer vision, and machine learning? Nanyang Technological University (NTU Singapore), a world-leading research institution, is seeking a highly motivated Research Associate to join our prestigious Embodied AI laboratory. In this role, you will be at the forefront of innovation, working to bridge the gap between digital intelligence and physical execution.
You will collaborate with a multidisciplinary team of world-class scientists and engineers to develop sophisticated algorithms that enable robots to perceive, reason, and interact with the physical world in real-time. This position offers an unparalleled environment for intellectual growth, access to state-of-the-art laboratory facilities, and the opportunity to contribute to high-impact research publications.
We are looking for a dedicated researcher who thrives in a collaborative environment and is eager to push the boundaries of what is possible in robotics. If you possess a strong foundation in machine learning and a drive to solve complex, real-world problems, we invite you to apply.
Responsibility
- Conduct high-level research in Embodied AI, focusing on deep reinforcement learning, sensor fusion, and robotic control.
- Design, develop, and test novel algorithms for robot navigation, manipulation, and human-robot interaction.
- Maintain and optimize codebase for robotic platforms, ensuring scalability and robust performance in real-world environments.
- Prepare high-quality research papers for top-tier international conferences (e.g., ICRA, IROS, CVPR) and peer-reviewed journals.
- Collaborate with cross-functional teams to integrate perception models with robotic hardware stacks.
- Assist in the supervision of junior researchers and students on project-specific tasks.
- Present research findings at internal seminars and international workshops.
Qualifications
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related quantitative discipline.
- Proven expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Strong programming proficiency in Python and C++ with experience in robotic middleware (ROS/ROS2).
- Solid understanding of computer vision, motion planning, and control theory.
- Demonstrated experience in simulating robotic environments (e.g., Isaac Gym, MuJoCo, Gazebo).
- Excellent analytical, problem-solving, and communication skills.
- Strong track record of research publications in reputable AI or robotics venues is highly preferred.