Start of employment 01.01.2026
The Research in Orthopedic Computer Science (ROCS) group at the University of Zurich develops advanced solutions for surgical guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national research platform OR-X.
We are offering a PhD position in Robotic Imaging and Surgical Guidance. The project aims to transform mobile fluoroscopy into an intelligent robotic platform for intraoperative navigation. Building on our AI-driven reconstruction pipelines, the research will advance three core areas: robotic imaging (end-effector design, calibration, motion planning), 3D reconstruction (multi-view geometry, pose estimation, AI-based reconstruction), and surgical guidance (real-time, context-aware feedback and visualization).
This position provides a unique opportunity to work at the frontier of computer-assisted orthopedic surgery, embedded in Zurich's vibrant MedTech and AI ecosystem. With direct access to the state-of-the-art OR-X infrastructure for translational validation, the successful candidate will join an innovative team and collaborate with surgeons and industry partners to shape technologies with strong potential for clinical adoption.
Your Profile
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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
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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
Information on your application
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Embedded in the Greater Zurich Area, one of Europe's leading hubs for MedTech and AI innovation, the ROCS group pursues the mission of turning fundamental research into technologies with clinical impact. We offer a supportive and welcoming environment where you can thrive, learn, and grow. The Balgrist Campus, OR-X, and the University of Zurich together provide world-class research infrastructure at the forefront of surgical innovation. This PhD will prepare you for a career in academia, MedTech, or surgical robotics, with strong exposure to both scientific excellence and clinical translation.
We also offer:A competitive PhD salary in accordance with SNF guidelines
A flexible working environment with hybrid (on-site + remote) options
An inspiring workplace at Balgrist CAMPUS, Lengghalde 5, 8008 Zurich ( ttps://www.balgristcampus.ch)
Access to OR-X, a state-of-the-art national research infrastructure shaping the future of surgery (https://or-x.ch)
Opportunities to participate in international conferences and workshops
Teaching experience and supervision of MSc student research projects
The anticipated start date of the PhD project is late 2025 or beginning of 2026, with flexibility by mutual agreement. To apply, please submit your motivation letter (1 page) and academic CV as a single PDF file.
What we offer
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Work-Life Balance
Flexible working models (such as part-time positions, mobile working, job-sharing)
Childcare at the kihz foundation of UZH and ETH
Learning and Development
Wide range of continuing education courses of UZH and the Canton of Zurich
Language Center run jointly with ETH Zurich
Food
Food and drinks at reduced prices in the UZH cafeterias
Lunch-Check-card with UZH contribution
Healthcare
Special conditions on the Academic Sports Association ASVZ
Free seasonal flu vaccinations
Rest and relaxation at the quiet room in the university tower
Discounts
Private traffic: Carsharing, rent a vehicle, parking space
Digitalization: Hardware, software, mobile phone subscriptions
Special conditions on hotel reservations
Conditions of Employment
Policies of the UZH
Most UZH staff are employed according to public law
International Services
Support for people from outside Switzerland
Campuses
Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
Location
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Research in Orthopedic Computer Science, University Of Zurich
Forchstrasse, Zurich, Switzerland
Further information
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Questions about the job
Philipp Fuernstahl
Head of ROCS
044 510 7366
Working at UZH
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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!
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