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Karlsruhe, Baden-Württemberg, Deutschland
Onsite
Motivation for the Work
Turning today's research into tomorrow's applications – together. At ZEISS, we focus on user-centric innovation to transform ideas into cutting-edge solutions. The ZEISS Innovation Hub @KIT fosters collaboration between students, researchers, and industry professionals to drive technological advancements.
Integrated into a team of scientists and research engineers, you will work on research projects in surgical robotics.
Development and testing of concepts for physical AI in surgery
Exploring how modern AI and computer vision techniques can be employed for surgical scene understanding, synthetic data generation, and robotic automation for surgical tasks
Conducting hands-on lab work with phantom or ex-vivo animal models
Presenting and discussing research findings in team and department meetings
Working with researchers and engineers in a collaborative environment at the ZEISS Innovation Hub Karlsruhe, located at the KIT Campus North
What We Offer
An opportunity to build the foundation for next-generation products in computer-assisted surgery & surgical robotics
A dynamic and international team with an active student community
Hands-on research experience in surgical scene understanding, including experimental lab work
Mentorship by experienced PhD-level experts
A modern working environment with state-of-the-art tools for research (AI-assisted coding, etc.)
Enrolled in a bachelor's or master's degree program in computer science, robotics, engineering, or a related field
A solid foundation in deep learning and AI (e.g., semantic segmentation, information fusion, trajectory planning), with practical programming experience in Python and deep learning frameworks such as PyTorch, or the NVIDIA Omniverse Frameworks
Interested in developing innovative solutions for computer-assisted surgery
An open-minded attitude, a hands-on approach and enthusiasm for working in agile, interdisciplinary teams
Strong communication skills in English and/or German
Idealyy gained experience in one or more of the following areas: foundation models, world models, Reinforcement Learning, Gaussian Splatting, multi-modal data fusion, or OCT imaging
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).
Your ZEISS Recruiting Team:
Selina Safradin