Final Thesis (Master): Reinforcement Learning Based Traffic Optimization

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, 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.

Ihr Profil

• 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

Kontakt

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