Fraunhofer-Gesellschaft is hiring a Werkstudent (Student Assistant) to join the AI-supported Simulation team. You'll work on combining physics-based simulation approaches with AI frameworks to model and optimize power electronic components and systems.
What You'll Do
- Develop and benchmark neural network architectures like Graph Neural Networks and Transformers for technical applications.
- Design reinforcement learning pipelines, including environment and algorithm components, for power electronics use cases.
- Improve existing machine learning and reinforcement learning workflows, focusing on speed, hyperparameter optimization, and usability.
What We're Looking For
- Currently enrolled student in Computer Science, Electrical Engineering, Physics, Mathematics, or a related scientific/engineering field.
- Hands-on experience with Python, PyTorch, or TensorFlow.
- Foundational knowledge in machine learning.
Nice to Have
- Ideally, knowledge of Reinforcement Learning.
Technical Stack
- Python
- PyTorch
- TensorFlow
Benefits & Compensation
- Insight into exciting research projects.
- Top-tier research enabled by excellent technical equipment.
- Practical, varied project work in innovative and dynamic teams.
- An internationally oriented work environment.
- Opportunities for personal development.
- A strong career reference as a springboard into academia, industry, or other research institutions.
- Flexible working hours to optimally balance studies and work.
- Campus proximity.
Work Mode
This position is onsite.
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, worldview, disability, sexual orientation, and identity. Severely disabled persons will be given preferential consideration if equally qualified.
