Fraunhofer-Gesellschaft is looking for a Working Student to join our research team in a role focused on machine learning for engineering applications. You will support the ‘AI-supported simulation’ team by developing and benchmarking AI models for power electronics.
What You'll Do
- Develop and benchmark Neural Network architectures like Graph Neural Networks and Transformers for engineering use cases
- Design Reinforcement Learning pipelines, including environment and algorithm development, for power electronics applications
- Improve existing Machine Learning and Reinforcement Learning workflows for speed, hyperparameter tuning, and usability
What We're Looking For
- Current student in Computer Science, Electrical Engineering, Physics, Mathematics, or a related scientific/engineering degree program
- Hands-on experience with Python, PyTorch, or TensorFlow
- Familiarity with core Machine Learning concepts and methods
Nice to Have
- Familiarity with Reinforcement Learning concepts
Technical Stack
- Python
- PyTorch
- TensorFlow
Team & Environment
You will be part of the ‘AI-supported simulation’ team, collaborating on innovative research projects.
Benefits & Compensation
- Insight into applied research projects
- Access to state-of-the-art technical equipment
- Practical, varied project work within innovative and dynamic teams
- An international working environment
- Opportunities for personal development
- A strong career reference for future paths
- Flexible working hours
- Proximity to campus
Work Mode
This is an onsite position.
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.
