The University of Zurich offers a wide range of attractive positions in various subject areas and professional fields. With around 10,000 employees and 12 professional apprenticeship streams, Switzerland's largest university provides an inspiring working environment at the vanguard of research and education. Find out more about UZH as an employer! Your Profile You hold an excellent MSc degree in robotics, electrical engineering, or computer science, with a strong background in robotic control, computer vision, and image processing - ideally in the context of computer-assisted surgery. You bring excellent programming skills, hands-on experience with hardware (e.g., KUKA-like robotic arms, cameras, tracking systems, imaging devices), and proficiency with software frameworks (ROS/ROS2, OpenCV, ITK/VTK, AI/ML libraries). We are looking for candidates who demonstrate: Solid understanding of robot kinematics, motion planning, and control, including forward/inverse kinematics and collision avoidance Practical experience with multi-view geometry, 3D reconstruction, pose estimation, and camera calibration, and proficiency in relevant libraries (e.g., OpenCV, Open3D) Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and medical image analysis libraries (ITK, VTK, Slicer3D, MONAI) Experience with hardware-software integration, including encoders, sensors, and safety aspects of robotic workflows Excellent communication skills in English (German is an asset), combined with initiative, problem-solving ability, and teamwork Your Profile You hold an excellent MSc degree in robotics, electrical engineering, or computer science, with a strong background in robotic control, computer vision, and image processing - ideally in the context of computer-assisted surgery. You bring excellent programming skills, hands-on experience with hardware (e.g., KUKA-like robotic arms, cameras, tracking systems, imaging devices), and proficiency with software frameworks (ROS/ROS2, OpenCV, ITK/VTK, AI/ML libraries). We are looking for candidates who demonstrate: Solid understanding of robot kinematics, motion planning, and control, including forward/inverse kinematics and collision avoidance Practical experience with multi-view geometry, 3D reconstruction, pose estimation, and camera calibration, and proficiency in relevant libraries (e.g., OpenCV, Open3D) Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and medical image analysis libraries (ITK, VTK, Slicer3D, MONAI) Experience with hardware-software integration, including encoders, sensors, and safety aspects of robotic workflows Excellent communication skills in English (German is an asset), combined with initiative, problem-solving ability, and teamwork
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