Applied Scientist / Research Scientist (Intern/Co-op)

Key Responsibilities

• Develop and optimize core robotic algorithms: including motion planning, navigation control, and perception fusion (e.g., SLAM, sensor fusion for LiDAR/vision/IMU).
• Implement kinematic/dynamic modeling: such as trajectory generation, force control, and enhancing algorithm robustness in dynamic environments.
• Algorithm integration and testing: integrate algorithms with hardware systems, perform simulation (e.g., using ROS, Gazebo, MuJoCo), and deploy/debug on physical robots.
• Explore advanced technologies: research cutting-edge approaches such as imitation learning, reinforcement learning, and multimodal models to improve robotic autonomy and decision-making.

Qualifications

• Education: Bachelor’s, Master’s, or Ph.D. degree in Robotics, Computer Science, Automation, or related fields.
• Programming skills: Proficiency in C++/Python, with experience using ROS, OpenCV, and PyTorch/TensorFlow.
• Theoretical foundation: Solid knowledge of robotics theory (kinematics, control systems, optimization) and sensor processing (LiDAR, vision, IMU).
• Practical experience: Hands-on experience in motion control, SLAM, or path planning; familiarity with reinforcement learning frameworks is a plus.
• Comprehensive abilities: Strong problem-solving skills, teamwork spirit, and ability to drive projects from research to deployment.

Preferred Skills

• Publications in top conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS), or practical experience in multi-robot systems/human-robot collaboration.
• Experience in training/deploying large-scale AI models in robotics.