Internship or Master Thesis on Multidimensional Computer Vision Applications

26. Februar 2024

Themenbeschreibung

Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

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.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes.

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 projects are based on tasks such as pose estimation, tracking, semantic segmentation and so on leveraging both geometric and deep-learning methods from computer vision.

Your role

  • Familiarize with the state-of-art in pose estimation and tracking applications

  • Development of the 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

  • 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

  • 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.