Student Assistant Computer Vision / Deep Learning

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

What we offer

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff.

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.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

If you have any questions, please contact :

Anna Hilsmann

Niklas Gard

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number : 82252                Application Deadline : 01 / 31 / 2026