Deskripsi Pekerjaan
About the Role
Nanyang Technological University (NTU) is seeking a highly motivated and talented Research Associate to join our world-class engineering faculty. This role focuses on the burgeoning field of Embodied AI, where you will bridge the gap between high-level machine learning and physical robotic execution. You will be at the forefront of developing intelligent agents that can perceive, reason, and interact with the physical world in complex environments.
As part of one of the world's top-ranked engineering schools, you will have access to state-of-the-art robotics labs, massive computational resources, and a collaborative ecosystem of international researchers. This position is ideal for a researcher looking to make a significant impact on the future of autonomous systems, human-robot interaction, and general-purpose artificial intelligence.
The successful candidate will contribute to high-impact publications and help translate theoretical research into practical, real-world robotic applications. If you are passionate about the intersection of computer vision, reinforcement learning, and physical control, NTU provides the perfect environment to accelerate your research career.
Tanggung Jawab
- Design and implement state-of-the-art deep learning models for embodied agents, focusing on perception-action loops.
- Develop and maintain simulation environments (e.g., NVIDIA Isaac Gym, SAPIEN, or PyBullet) for training and testing agents.
- Deploy and validate AI algorithms on physical robotic platforms, ensuring robust performance in real-world scenarios.
- Collaborate with a multidisciplinary team of PhD students, Postdoctoral fellows, and Principal Investigators to achieve project milestones.
- Prepare and submit high-quality research papers to top-tier AI and robotics conferences such as CVPR, ICRA, IROS, and NeurIPS.
- Manage large datasets for imitation learning and reinforcement learning, ensuring data integrity and efficient processing.
- Assist in the supervision of undergraduate research projects and internship programs within the lab.
Kualifikasi
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or a closely related quantitative field.
- Strong proficiency in programming languages, specifically Python and C++, with experience in deep learning frameworks like PyTorch or TensorFlow.
- Demonstrated experience in Reinforcement Learning (RL), Computer Vision, or Robot Control.
- Hands-on experience with ROS (Robot Operating System) and robotic hardware interfaces.
- A track record of research excellence, evidenced by publications in peer-reviewed journals or international conferences.
- Excellent communication skills and the ability to work effectively in a highly collaborative, fast-paced research environment.
- Strong mathematical foundation in linear algebra, probability, and optimization.