Senior Researcher in Machine Learning
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 using 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
- Very good programming skills in Python
- Experience in using TensorFlow, PyTorch, and SUMO
- Previous own work in the field of reinforcement learning
- Knowledge of algorithms such as Q-Learning, A2C, PPO, and Rainbow
- Deep understanding of neuronal networks and 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 welcome all applications, regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, and identity.
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.
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