Philipp Fürnstahl
4 months ago
PhD Position in Robotic AI Imaging and Surgical Guidance at University of Zurich University of Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
The position is fully funded with a competitive PhD salary in accordance with Swiss National Science Foundation (SNF) guidelines. The offer includes a flexible working environment with hybrid options, access to state-of-the-art research infrastructure, opportunities for conference participation, and teaching experience. Additional benefits include reduced food prices, healthcare offers, and support for international candidates.
Deadline
Expired
Country
Switzerland
University
University of Zurich
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About this position
The Research in Orthopedic Computer Science (ROCS) group at the University of Zurich is offering a fully funded PhD position in Robotic AI Imaging and Surgical Guidance. The project focuses on transforming mobile fluoroscopy into an intelligent robotic platform for intraoperative navigation, advancing robotic imaging, 3D reconstruction, and surgical guidance. The research combines medical imaging, computer vision, and machine learning, with strong clinical translation in collaboration with Balgrist University Hospital and the OR-X research platform.
The successful candidate will work at the intersection of robotics and medical science, developing AI-driven reconstruction pipelines and real-time surgical guidance systems. Applicants should have an MSc in robotics, electrical engineering, or computer science, with expertise in robotic control, computer vision, image processing, and hands-on experience with relevant hardware and software frameworks.
The position offers a competitive salary, flexible working conditions, access to world-class research infrastructure, and opportunities for professional development, including teaching and conference participation. The anticipated start date is late 2025 or early 2026. Applications require a motivation letter and CV submitted as a single PDF.
The University of Zurich provides a supportive environment with numerous benefits for employees, including childcare, healthcare, and international support. For further information, contact Philipp Fürnstahl, Head of ROCS.
Funding details
The position is fully funded with a competitive PhD salary in accordance with Swiss National Science Foundation (SNF) guidelines. The offer includes a flexible working environment with hybrid options, access to state-of-the-art research infrastructure, opportunities for conference participation, and teaching experience. Additional benefits include reduced food prices, healthcare offers, and support for international candidates.
What's required
Applicants must 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. Required skills include excellent programming, hands-on experience with hardware (e.g., robotic arms, cameras, tracking systems, imaging devices), and proficiency with software frameworks such as ROS/ROS2, OpenCV, ITK/VTK, and AI/ML libraries. Candidates should have a solid understanding of robot kinematics, motion planning, and control, practical experience with multi-view geometry, 3D reconstruction, pose estimation, and camera calibration, and familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and medical image analysis libraries. Experience with hardware-software integration and excellent communication skills in English are required; German is an asset. Initiative, problem-solving ability, and teamwork are also important.
How to apply
Submit your motivation letter (1 page) and academic CV as a single PDF file. Apply via the University of Zurich job portal or the provided application link. Contact Philipp Fürnstahl for questions about the position. Ensure your application addresses all required qualifications.
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