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

Carl Zeiss AG

ThesisGerman needed: none

Still open on 3 Nov

You apply on the company's own website.

Key facts

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

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

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.)

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

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

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.)