Master Thesis – 3D Surgical Navigation (f/m/x)

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.

Your Role

Integrated into a team of scientists and research engineers, you will work on research projects in surgical robotics. Developing concepts for surgical 3D scene understanding and computer-assisted surgery, with a focus on 4D Gaussian Splatting, stereo and surface reconstruction, and multimodal sensor fusion Evaluating concepts on curated datasets and in own lab experiment settings 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 & medical 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.)

Your Profile

Enrolled in a master's degree program in computer science, robotics, engineering, or a related field Solid foundation in deep learning for computer vision (e.g. semantic segmentation, object tracking, or related areas), ideally with practical programming experience in Python Strong interest in developing innovative solutions for computer-assisted surgery An open mindset, a hands-on approach, and a passion for working in agile, interdisciplinary teams Good communication skills in English and/or German.

Ideally some experience working with 4D Gaussian Splatting, NeRFs, or 3D reconstruction 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