Machine Learning Researcher for Autonomous Mobility
vor 4 Wochen
Improve Your Programming Skills in Machine Learning
We are seeking exceptional candidates to write their final thesis with a focus on machine learning and reinforcement learning.
Our research at the Fraunhofer Application Center addresses current and future topics of automated and cooperative driving, including urban air mobility.
What You Will Do
In your thesis, you will develop and evaluate cutting-edge methods for improving traffic flows based on reinforcement learning approaches.
What You Bring to the Table
- Enrolled in a study program in data science, electrical engineering, information technology, physics, computer science, mathematics, or mechanical engineering
- Strong background in machine learning and reinforcement learning
- Very good academic performance and programming skills in Python
- Experience in using TensorFlow, PyTorch, and SUMO
- Previous work in reinforcement learning and knowledge of algorithms such as Q-Learning, A2C, PPO, and Rainbow
- Deep understanding of neuronal networks and LSTM architectures
- Strong commitment and ability to work collaboratively in a team
What You Can Expect
- Challenging tasks in highly relevant and application-oriented projects
- Professional supervision and highly motivated teams working in an open and cooperative environment
- Modern research infrastructure and flexible working hours
We value and promote the diversity of our employees' skills and welcome all applications. Severely disabled persons are given preference in the event of equal suitability.
Fraunhofer plays a central role in the innovation process, developing key technologies vital for the future and enabling the commercial utilization of this work by business and industry.
Interested? Apply online now and send us your meaningful application documents.
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