Internship/ Master Thesis on developing tracking methods for deformable objects (f/m/x) (m/w/d)

73447 Oberkochen

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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.

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With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

Familiarize with the state-of-the-art in pose estimation and tracking applications
Development of the hardware experimental setup based on the use-case
Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision and robotics
Validation of the results with test measurements
Evaluation of the technical feasibility
Documentation of the experimental outcomes & test results

A background in either computer science, robotics engineering, or electrical engineering and currently enrolled in a master's degree program
Strong experience with programming in Python
Good theoretical background in linear algebra, optimization, and computer vision methodologies
Demonstrable applied experience with computer vision and deep learning libraries (e.g. PyTorch) will be beneficial
Self-motivated and independent working style along with a curiosity for diving into challenging topics that push the state-of-the-art

ZEISS

73447 Oberkochen

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Erstellt am 07.12.2025 von ZEISS