Final Thesis (Master): Reinforcement Learning Based Traffic Optimization

at  Transportation and Infrastructure Systems

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 800 employees work with an annual research budget of 3.0 billion euros.

WOULD YOU LIKE TO IMPROVE YOUR PROGRAMMING SKILLS AND APPLY YOUR KNOWLEDGE IN THE FIELD OF MACHINE LEARNING?

For our ongoing research projects, we are seeking exceptional candidates to write their final (Master’s) thesis with a focus on
machine learning / reinforcement learning. Our research at the Fraunhofer Application Center “Connected Mobility and
Infrastructure” in Ingolstadt addresses current and future topics of automated and cooperative driving, also including urban air
mobility.

INTERESTED? APPLY ONLINE NOW. WE LOOK FORWARD TO GETTING TO KNOW YOU!

Interested? Apply online now under the requisition number IVI-Hiwi-00736 and send us your meaningful application documents. We look forward to getting to know you!
If you have any questions, please contact:
bewerbung.studenten@ivi.fraunhofer.de
You can find more information on the institute online:
https://www.ivi.fraunhofer.de/en/about-us/departments/applicationcenterTHI.html
Fraunhofer Institute for Transportation and Infrastructure Systems IVI
Requisition Number: 74454 Application Deadline:

In your thesis, cutting-edge methods for improving traffic flows (for example, in the context of autonomous mobility) are to be developed and evaluated based on reinforcement learning approaches.