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

Aimlroles; Karlsruhe; Hybrid; EUR 21,000 - 34,000; Full time

Benefits offered by this job

Master thesis option

Hybrid/remote workdays

Hands-on calibration work

Potential for 2-year working student

Job summary

ZEISS Innovation Hub @ KIT in Karlsruhe seeks motivated students for a research-oriented internship or working student role in computer vision and photogrammetry. You will collaborate with scientists and engineers on projects from camera calibration to depth estimation and object detection, with scope for pursuing a master thesis.

Ideal candidates are enrolled in CS or EE with strong Python skills and experience in PyTorch/OpenCV.

Qualifications

• Pursuing a bachelor’s or master’s degree in computer science or electrical engineering with a focus on computer vision, machine learning or similar.
• Strong Python coding skills; C++ is a plus.
• Initial experience with computer vision concepts such as camera calibration, photogrammetry, and OpenCV/PyTorch is desirable.

Responsibilities

• Work on research projects in computer vision and photogrammetry.
• Contribute to camera calibration and simulation in digital twins.
• Develop object detection and depth estimation algorithms.
• Collaborate in interdisciplinary teams and communicate results in English and/or German.

Skills

Python

Computer Vision

C++

Machine Learning

Education

Bachelor's or Master in CS/EE with CV/ML focus

Tools

PyTorch

OpenCV

Job description

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

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!

Your ZEISS Recruiting Team:

Selina Safradin