Deskripsi Pekerjaan
Join the forefront of technological innovation at the Agency for Science, Technology and Research (A*STAR). We are seeking a visionary and dynamic Scientist to lead groundbreaking research in Adaptive Robotics and Mechatronics. This is a unique opportunity to shape the future of intelligent systems and humanoid robotics, bridging the gap between artificial intelligence and physical reality.
In this pivotal role, you will spearhead the development of advanced embodied AI systems. You will work on complex challenges involving sensor fusion, control theory, and adaptive learning algorithms, enabling robots to interact intelligently with dynamic environments. Your work will directly contribute to the next generation of intelligent manufacturing and service robotics, pushing the boundaries of what is currently possible in the field.
As a key member of the research team, you will collaborate with interdisciplinary experts to translate theoretical concepts into tangible robotic applications. You will be responsible for designing robust mechatronic architectures and ensuring seamless integration of AI models into physical platforms.
Tanggung Jawab
- Lead the research and development of adaptive control algorithms and embodied AI models for humanoid robots.
- Design and implement complex mechatronic systems, focusing on locomotion, manipulation, and sensor integration.
- Develop novel machine learning approaches to enhance robot perception and decision-making in real-world scenarios.
- Collaborate closely with software engineers and hardware specialists to integrate AI solutions into robotic prototypes.
- Publish high-impact research papers in top-tier international conferences and journals (e.g., ICRA, IROS, CVPR).
- Mentor and guide junior researchers and PhD students, fostering a collaborative and innovative research culture.
- Drive the lifecycle of research projects from conceptualization to experimental validation and deployment.
Kualifikasi
- PhD in Robotics, Mechatronics, Computer Science, Electrical Engineering, or a closely related field.
- Strong theoretical and practical background in control theory, nonlinear dynamics, and machine learning.
- Extensive experience with humanoid robotics platforms or complex multi-DOF robotic systems.
- Proven track record of research excellence with a significant number of publications in reputable venues.
- Proficiency in programming languages such as Python, C++, and simulation tools (e.g., ROS, Gazebo, MATLAB).
- Demonstrated ability to work independently, think critically, and solve open-ended technical problems.
- Excellent communication skills and the ability to present complex ideas to diverse technical and non-technical audiences.