- Carl Zeiss Meditec USA Inc
- Karlsruhe, BW
- Full-Time
- 5 days ago
Master Thesis – 3D Surgical Navigation (f/m/x).
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Master Thesis – 3D Surgical Navigation (f/m/x): our view in 3 lines...
- The Role:A master’s thesis role focused on 3D surgical navigation and research in computer-assisted surgery.
- The Person:The person will develop concepts for surgical 3D scene understanding and computer-assisted surgery, evaluate them on curated datasets and lab experiments, and present findings in team and department meetings.
- Requirements:The role calls for an enrolled master’s student with a solid foundation in deep learning for computer vision, practical programming experience in Python, and ideally experience with 4D Gaussian Splatting, NeRFs, or 3D reconstruction.
About the role
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
