Student Assistant Computer Vision/deep Learning - Berlin, Deutschland - Fraunhofer-Gesellschaft

Fraunhofer-Gesellschaft

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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

What you will do

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 bring to the table

Very good programming skills in Python and are proficient in using graphics and computer vision libraries such as OpenCV and OpenGL, as well as deep learning frameworks such as Pytorch or Tensorflow
Good theoretical knowledge of computer graphics and computer vision and are familiar with 3D transformations and camera models
Ideally, basic knowledge of working with rendering engines (Blender or Unreal Engine), or working with BIM (Building Information Management) systems
You can work independently, as well as within a team, in a structured manner

What you can expect

Fascinating challenges in a scientific and entrepreneurial setting
Attractive salary
Modern and excellently equipped workspace in central location
Great and cooperative working atmosphere in an international team
Opportunities to write a master's thesis
Flexible working hours
Opportunities to work from home

The position is initially limited to 6 months. An extension is explicitly desired.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process.

As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

If you have any questions, please contact:
Anna Hilsmann

Niklas Gard

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 64765
Application Deadline: 05/31/2023