Final Thesis (Master): Reinforcement Learning Based Traffic Optimization

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 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.

What you will do

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.

What you bring to the table

enrolled in a study program in one of the following (or similar) areas: data science, electrical engineering, information
technology, physics, computer science, mathematics or mechanical engineering
strong background in the fields of machine learning and reinforcement learning
very good academic performance
very good programming skills (Python)
experienced in using TensorFlow, PyTorch and SUMO
previous own work in the field of reinforcement learning
knowledge of algorithms such as Q-Learning, A2C, PPO, Rainbow
deep understanding of neuronal networks as well as LSTM and transformer architectures
strong commitment and ability to work collaboratively in a team
proactive and creative working style

What you can expect

challenging tasks in highly relevant and application-oriented projects
professional supervision
highly motivated teams working in an open and cooperative environment
modern research infrastructure
flexible working hours

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. 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.

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:
www.ivi.fraunhofer.de/en

https://www.ivi.fraunhofer.de/en/about-us/departments/application_center_THI.html

Fraunhofer Institute for Transportation and Infrastructure Systems IVI

www.ivi.fraunhofer.de

Requisition Number: 74454 Application Deadline:

Job Segment: Electrical Engineering, Web Design, Mechanical Engineer, Developer, Training, Engineering, Creative, Technology, Education

Apply now »