Master Thesis Monocular Depth Estimation for

vor 1 Tag

Ingolstadt, Deutschland Fraunhofer-Gesellschaft Vollzeit

**What you will do**

For our current projects we are looking for excellent students who would like to write their thesis in the area of Computer Vision and Deep Learning. The thesis(es) will develop cutting-edge methods for monocular depth estimation, which will be applied in the environment perception of autonomous drones.

**What you bring to the table**
- student of Computer or Data Science, Mathematics, Physics, Electrical and Information Engineering or similar
- strong background in the areas of Deep Learning and Computer Vision
- excellent academic performance
- very good programming skills in Python
- experience with frameworks like PyTorch and/or TensorFlow
- own work in the field of Computer Vision
- deep understanding of neural networks and transformer architectures
- structured, self-dependent and result-oriented way of working
- ambition, creativity and commitment in the daily work routine
- high motivation and ability to work in a team

**What you can expect**
- interdisciplinary research on promising technologies
- professional supervision
- adequate remuneration
- a modern research infrastructure
- flexible working hours
- a young, dynamic team in an open and friendly working environment

The Fraunhofer Institute for Transportation and Infrastructure Systems IVI in Dresden employs more than 150 research fellows in five departments and collaborates closely with the TU Dresden, the TU Bergakademie Freiberg and the Technische Hochschule Ingolstadt.

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**:
Markus Gross
Phone +49 (0) 152 02830347

Fraunhofer Application Center »Connected Mobility and Infrastructure«

Visiting address
Stauffenbergstraße 2a
85051 Ingolstadt

Postal address
Technische Hochschule Ingolstadt
Esplanade 10
85049 Ingolstadt

**Please state the requisition number: IVI-Hiwi-00699**

Fraunhofer Institute for Transportation and Infrastructure Systems IVI

Requisition Number: IVI-Hiwi-00699 Application Deadline:

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