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Quentin Boehler

Professor at ETH Zürich

ETH Zürich

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Switzerland

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Research Interests

Mechanical Engineering

10%

Surgical Robotics

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Medical Science

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Computer Vision

10%

Electrical Engineering

10%

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Positions1

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Quentin Boehler

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ETH Zürich

PhD Student in Medical & Surgical Robotics

The Medical Robotics Lab (MeRo Lab) at ETH Zürich, led by Professor Quentin Boehler, is seeking a PhD student to join its newly established research group starting in March 2026. The lab is dedicated to addressing fundamental and technological challenges in medical and surgical robotics, focusing on unmet clinical needs through both foundational robotics research and the development of clinically relevant technologies. The group collaborates closely with clinicians and interdisciplinary partners to translate innovative concepts into systems that expand access to high-quality medical care and explore new aspects of robotics and adjacent fields. As one of the first members of the MeRo Lab, you will have the unique opportunity to help shape the direction and culture of the group, explore your own research ideas with scientific support, and participate in teaching and education activities within the Master of Science in Robotics, Systems and Control. The lab's core research areas include the design, modeling, and performance assessment of medical and surgical robots; dexterous actuation for soft continuum robots; sensing and tracking of minimally invasive robotic systems; autonomous control in uncertain anatomical environments; computer vision for image-guided robotic procedures (including endoscopic, MR-, and US-guided); and surgical training and simulation. Responsibilities include conducting theoretical and experimental robotics research, communicating scientific results through presentations and publications, participating in collaborative discussions, supervising bachelor’s and master’s students, and monitoring ongoing developments in medical robotics. The position offers a constructive, friendly, and supportive group atmosphere, access to excellent facilities and networks, and opportunities for collaboration with local, national, and international research groups and clinical and industrial partners. You will also have the chance to mentor students and interns and contribute to their academic development. ETH Zürich is renowned for its excellence in science and technology education, cutting-edge research, and commitment to diversity and sustainability. The university promotes an inclusive culture, values diversity, and nurtures a working and learning environment that respects the rights and dignity of all staff and students. Sustainability is a core value, with ongoing efforts toward a climate-neutral future. Eligibility: Applicants must hold a master’s degree in Robotics, Computational/Computer Science, Mechatronics, Electrical, Mechanical, Biomedical Engineering, or a related field. Strong interest and experience in medical and surgical robotics, programming skills (Python/MATLAB, C/C++), and experience with CAD/FEM software are required. Experience with simulation frameworks (SOFA, NVIDIA IsaacLab), ROS1/2, machine learning, and computer vision is a plus. Excellent English communication skills are essential. Candidates should be proactive, creative, independent, team-oriented, and adaptable to interdisciplinary environments. Application Process: Submit your application online via the ETH Zurich application portal by January 4th, 2026. Required documents include a motivation letter (max. 2 pages), CV (max. 2 pages), contact details for 2–3 referees, and transcripts/degree certificates. Optionally, include a list of publications and a portfolio with project summaries and links. Applications via email or postal services will not be considered. For further information, contact Prof. Quentin Boehler at [email protected]. Funding: Funding details are not specified in the position description. Please refer to the application portal or contact the supervisor for more information. Join ETH Zürich and contribute to pioneering research in medical and surgical robotics within a dynamic and supportive environment.

2 months ago