Robotics Applied Scientist, Active Perception

Job description

Job responsibilities

• Formulate the active perception problem for inspection and a broad range of robot behaviors
• Develop viewpoint planning policies for active information gathering
• Research calibrated confidence and abstention for vision-language reasoning on the robot
• Own the research and development work through to the real-world experiments that prove feasibility and deployability
• Investigate and shape the technical roadmap, aligning real-world needs with technical development
• Mentor junior team members and collaborators

Job requirements

• PhD in robotics, computer science, electrical engineering, aerospace engineering, mechanical engineering, or a related field, with publications at top venues such as RSS, CoRL, ICRA, IROS, T-FR, T-RO, CVPR, NeurIPS, or…
• Research experience in active perception, informative path planning, vision-language models, or semantic mapping for exploration.
• Hands-on work with vision-language or foundation models for robot perception, plus the physical principles governing them.
• Fluency in Python and the ability to run your methods on real robots with C++ and ROS 2.
• A principled fluency with uncertainty: Bayesian or information-theoretic planning, calibration, and conformal methods