Deskripsi Pekerjaan
Join Nanyang Technological University (NTU), a global leader in Electrical Engineering, as a Research Associate specializing in Embodied Intelligence. This pioneering role offers an exceptional opportunity to develop cutting-edge AI models that bridge the gap between digital cognition and physical interaction. You will contribute to groundbreaking research in creating intelligent systems capable of perceiving, reasoning, and acting within real-world environments. NTU's state-of-the-art research facilities and collaborative ecosystem provide the ideal platform to advance autonomous robotics, human-machine interaction, and adaptive learning systems. If you're passionate about shaping the future of AI through embodied experiences and seek to make tangible impacts in technology innovation, this position offers unparalleled growth potential at one of Asia's premier academic institutions.
Tanggung Jawab
- Design and implement advanced AI models for embodied perception and decision-making systems
- Conduct research on reinforcement learning algorithms for robotic autonomy and human-robot interaction
- Develop simulation frameworks to test AI agents in complex physical environments
- Collaborate with multidisciplinary teams to integrate AI solutions into robotic platforms
- Publish research findings in top-tier conferences and journals
- Secure research funding through grant proposals and industry partnerships
- Mentor graduate students and junior researchers in AI methodologies
Kualifikasi
- Master's or PhD degree in Computer Science, Robotics, AI, or related engineering field
- Strong expertise in machine learning, deep learning, and reinforcement learning
- Proficiency in robotics frameworks (ROS, Gazebo) and simulation environments
- Experience with sensor integration and real-time data processing systems
- Programming fluency in Python, C++, and relevant AI libraries (PyTorch, TensorFlow)
- Demonstrated ability to publish high-quality research in AI/robotics domains
- Excellent analytical skills and problem-solving abilities for complex technical challenges