Internship in Computer Vision / Calibration Pipelines (f/m/x)

Your Role

We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated into a team of scientists and research engineers, you will work on research projects in computer vision and photogrammetry. These projects can range from custom camera calibration and simulation of camera characteristics in digital twins to object detection and depth estimation algorithms.

What We Offer

• An opportunity to build the foundation for next-generation products
• The option to write a master thesis following an internship or working student position
• Hands-on work on intrinsic, extrinsic, and multi-camera calibration for ZEISS use cases
• The possibility of continuing employment as a working student for up to 2 years
• A unique opportunity to choose the topics that interest you most within an exciting project
• A modern working environment enabling hybrid work by offering remote workdays
• An opportunity to join a growing company with many career opportunities

Your profile

• You are interested in technology and motivated to work on challenging tasks
• You are enrolled in a bachelor’s or master's degree in computer science or electrical engineering specializing in computer vision, machine learning or similar
• You have a strong computer science background with very good coding skills in Python (C++ is a plus)
• You have initial experience with computer vision, ideally camera calibration, photogrammetry, PyTorch, and OpenCV
• You understand camera models, projection geometry, coordinate systems, and basic 3D geometry.
• You are willing to collaborate and work in interdisciplinary teams
• Good communication skills in English and/or German
• You are willing to learn and explore with a high degree of initiative and creativity

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.) .

Contact

Selina Safradin

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 10. Sept. 2026

Veröffentlicht am 16. Okt. 2026