Internship/ Master Thesis On Computer Vision

Vor 7 Tagen

Oberkochen, Deutschland ZEISS Group Vollzeit

Your Role

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 high-precision object tracking involving subtasks such as pose estimation, semantic segmentation and so on leveraging both geometric and deep-learning methods from computer vision. Your role-
- 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- Validation of the results with test measurements- Evaluation of the technical feasibility- Documentation of the experimental outcomes & test results

Your Profile- A background in the STEM area (computer science, robotics engineering, electrical engineering)- Currently enrolled in a master’s degree program at a top university- Prior experience with at least one programming language such as C++ or Python- Good theoretical background in linear algebra, optimization, and computer vision methodologies- Experience with CAD modelling software for 3D printing prototype objects will be beneficial- Demonstrable applied experience with the computer vision (such as OpenCV, PCL, Open3D) and deep learning libraries (Tensorflow/ 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

As a student, you will work on an equal footing with your colleagues, you will gain deep insights into a company that creates products for the world of tomorrow, and you will create ideal conditions for your later career

Your ZEISS Recruiting Team:
Franziska Gansloser

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