Postdoctoral Researcher In Multi-Modal Surgical Scene Modeling And Simulation

Your responsibilitiesThe postdoctoral researcher's primary responsibility is to conduct original research at the intersection of medical imaging, computer vision, and simulation. This includes refining research concepts in line with state-of-the-art and emerging ideas, supervising PhD students in the implementation of corresponding methodologies, and guiding them through validation and scientific publication. Beyond core research activities, the postdoctoral researcher is expected to support and supervise experimental data collection and validation in the ex-vivo environment of the OR-X.In particular, the responsibilities include:Supervising PhD students and collaboratively developing methods that advance the state-of-the-art in soft tissue simulation, multi-modal generative modelling, and digital twinningContributing to the development of new research concepts and methodologies in relevant fieldsDesigning experimental studies and advanced data-capture setups for acquiring high-quality surgical data in ex-vivo experimentsCollaborating with surgeons and engineers to ensure strong translational relevanceDisseminating results through scientific publications, patents, and prototype demonstrationsActive involvement in shaping and strengthening the group's research direction, methods, and best practicesYour profileYou hold an excellent PhD degree in computer science, robotics, or electrical engineering with a strong background in computer vision, machine learning, and computer graphics - ideally in the context of computer-assisted surgery. You have experience with deep learning and simulation frameworks and bring hands-on experience with hardware (e.g., cameras, tracking systems, audio capture devices, augmented reality).We are looking for candidates who demonstrate:Significant experience with computer vision, camera calibration, and tracking, and proficiency in relevant libraries (e.g., OpenCV, Open3D)Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and medical image analysis libraries (Slicer3D, MONAI)Solid understanding of generative models and proven experience in working with multimodal data (images, 3D data, natural language, audio)Experience with signal processing, especially in the audio domain, is a plusExperience with haptic rendering and Augmented Reality is a plusExcellent communication skills in English (German is an asset), combined with initiative, problem-solving ability, and teamworkWhat we offerOur employees benefit from a wide range of attractive offers. More LocationResearch in Orthopedic Computer Science (ROCS)Information on your applicationWhat We OfferEmbedded 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.We also offer:A competitive salary in accordance with Swiss University standardsA flexible working environment with hybrid (on-site + remote) optionsAn inspiring workplace at Balgrist CAMPUS, Lengghalde 5,Zurich (Balgrist CAMPUS)Access to OR-X, a state-of-the-art national research infrastructure shaping the future of surgery (OR-X)Opportunities to participate in international conferences and workshopsTeaching experience and supervision of MSc student research projectsApplicationThe anticipated start date of the Postdoc position is April 2026, with flexibility by mutual agreement. To apply, please submit your motivation letter (1 page) and academic CV as a single PDF file.Further informationQuestions about the jobMatthias SeiboldStellvertretender Forschungsgruppenleiter ROCSWorking at UZHThe University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer jidc07f237a jit0103a jiy26a