Master Thesis – 3D Surgical Navigation

Motivation for the WorkTurning 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 RoleIntegrated 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 fusionEvaluating concepts on curated datasets and in own lab experiment settingsPresenting and discussing research findings in team and department meetingsWorking with researchers and engineers in a collaborative environment at the ZEISS Innovation Hub Karlsruhe, located at the KIT Campus NorthWhat We OfferAn opportunity to build the foundation for next-generation products in computer-assisted surgery & medical roboticsA dynamic and international team with an active student communityHands-on research experience in surgical scene understanding, including experimental lab workMentorship by experienced PhD-level expertsA 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 fieldSolid foundation in deep learning for computer vision (e.g. semantic segmentation, object tracking, or related areas), ideally with practical programming experience in PythonStrong interest in developing innovative solutions for computer-assisted surgeryAn open mindset, a hands-on approach, and a passion for working in agile, interdisciplinary teamsGood communication skills in English and/or German.

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