- Master Thesis – 3D Surgical Navigation (f/m/x)ZEISS
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Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes.
Aufgaben
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.
Integrated into a team of scientists and research engineers, you will work on research projects in surgical robotics.
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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
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Evaluating concepts on curated datasets and in own lab experiment settings
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Presenting and discussing research findings in team and department meetings
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Working with researchers and engineers in a collaborative environment at the ZEISS Innovation Hub Karlsruhe, located at the KIT Campus North
What We Offer
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An opportunity to build the foundation for next-generation products in computer-assisted surgery & medical robotics
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A dynamic and international team with an active student community
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Hands-on research experience in surgical scene understanding, including experimental lab work
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Mentorship by experienced PhD-level experts
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A modern working environment with state-of-the-art tools for research (AI-assisted coding, etc.)
Profil
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Enrolled in a master's degree program in computer science, robotics, engineering, or a related field
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Solid foundation in deep learning for computer vision (e.g. semantic segmentation, object tracking, or related areas), ideally with practical programming experience in Python
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Strong interest in developing innovative solutions for computer-assisted surgery
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An open mindset, a hands-on approach, and a passion for working in agile, interdisciplinary teams
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Good communication skills in English and/or German.
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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.).
Wir bieten WEFS1_DE