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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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We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated within a team of scientists and engineers, you will work on research topics in 3D computer vision and robotics. The project is based on developing computer vision methods for robust tracking of deformable objects.

Your Role

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

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