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

ZEISS Groupa day agoWorking Student
On-siteEnglish requiredTechAI, ML & Data Science

Required skills

Computer VisionAI-Assisted CodingComputer-Assisted SurgerySemantic SegmentationNeRFs3D ReconstructionSurgical RoboticsMultimodal Sensor FusionSurface Reconstruction4D Gaussian SplattingDeep LearningObject TrackingStereo ReconstructionPython

Job description

ZEISS Group posted this role. Below, we break down what it means for a working student in Karlsruhe: your weekly hours, take-home pay and visa limits.

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Description provided by ZEISS Group

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

Working student essentials

What this Tech working student role in Karlsruhe means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

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