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

Zeiss • English • Health Care • Test & Measurement • Master's Degree • Python • 2 hours ago
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In office (Karlsruhe)
Employment
Full-Time
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Zeiss

Zeiss is a German optics and optoelectronics group founded in Jena in 1846 that is owned by a foundation rather than by shareholders, which frees it to invest on very long horizons. Its most strategically important business supplies the optical systems inside extreme ultraviolet lithography machines, without which leading-edge semiconductor manufacturing would not be possible, and it also makes surgical and diagnostic ophthalmic equipment, spectacle lenses, industrial measurement systems, microscopes and camera optics. Headquartered in Oberkochen with a large site in Jena, the group employs tens of thousands of people and spends an unusually high share of revenue on research.
zeiss.com • HQ: Stuttgart, Germany • Test & Measurement • Semiconductor Manufacturing • Vision Care & Ophthalmology • Health Care • Medical Devices • Hardware • Lasers & Photonics • 5000+ employees • Est. 1846

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
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