Internship/ Master Thesis On Developing Tracking Methods For Deformable Objects (f/m/x)

Carl Zeiss Pty Ltd

Oberkochen, Germany
On-site
Pose estimation and tracking applications
Geometric and/or deep learning methods
Computer vision and robotics
Carl Zeiss Pty Ltd is offering an internship/master's thesis opportunity focused on developing tracking methods for deformable objects within the fields of 3D computer vision and robotics. The position is aimed at master's students in relevant engineering fields who possess programming skills and a strong theoretical foundation in computer vision

Job Summary

  • Integrated within a team of scientists and engineers, you will work on research topics in 3D computer vision and robotics.
  • 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.

Matching Summary

Match Score: 85

Carl Zeiss Pty Ltd is offering an internship/master's thesis opportunity focused on developing tracking methods for deformable objects within the fields of 3D computer vision and robotics. The position is aimed at master's students in relevant engineering fields who possess programming skills and a strong theoretical foundation in computer vision.

Skills & Requirements

Must-have

  • pose estimation and tracking applications
  • geometric and/or deep learning methods
  • computer vision and robotics
  • Python programming
  • linear algebra and optimization

Nice-to-have

  • applied experience with computer vision libraries
  • applied experience with deep learning libraries
  • PyTorch
  • self-motivated and independent working style
  • curiosity for challenging topics

Key Requirements

  • master’s degree program
  • computer science, robotics engineering, or electrical engineering background
  • applied experience with computer vision and deep learning libraries

Work Rights

Not specified

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