Fraunhofer-Gesellschaft e.V.fraunhofer.de
Student Assistant Computer Vision/Deep Learning
- Standort
- Berlin
- Remote
- Hybrid
- Anstellungsart
- Studierendenjobs
- Erfahrung
- Junior
- Bereich
- Software, Daten & IT
- Bewerbungsfrist
- 15.10.2026
Heute
City:Berlin
Date:Oct 6, 2026
Student Assistant Computer Vision/Deep Learning
The Fraunhofer-Gesellschaft is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.
Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built data (plans, images, point clouds) with artificial intelligence and integrating them into a BIM-based model. Become a part of our team and join us on our journey of research and innovation!
Be part of change
- Support for the development and integration of 3D pose estimation and localization methods in the building sector
- Creation of synthetic reference datasets and the development of Python scripts for the automatic creation and annotation of training data from real building models
- Developing scripts for processing BIM and IFC data
- Testing neural networks in the building domain
- Creating interfaces between AI modules
What you contribute
- Master's student in computer science or an equivalent subject at a Berlin university or college with above-average grades
- Very good programming skills in Python and proficiency in graphics and computer vision libraries such as OpenCV and OpenGL, as well as deep learning frameworks such as Pytorch or Tensorflow
- Good theoretical knowledge in the field of computer graphics and computer vision, as well as knowledge of 3D transformations and camera models
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