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