Student Assistant – Physics-based Machine Learning, Process Optimization, Machining
Germany
Internship
2 hours ago
No H1B
Key skills
CloudMicroservicesPythonC++CMachine LearningMLCollaboration
About this role
Role Overview
- Develop and implement machine learning algorithms to model and analyze dynamic phenomena in milling processes
- Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches
- Design and develop cloud-based microservices for industrial manufacturing applications
Requirements
- You are studying Mechanical Engineering, Computer Science, Mechatronics or a comparable subject
- Solid background in programming (e.g., Python or C++) is essential
- Experience with machining processes or ML approaches are advantageous
- A high degree of motivation, initiative, independence
- Good language skills in German and/or English
Tech Stack
- Cloud
- Microservices
- Python
Benefits
- Collaboration in innovative research projects and the chance to implement your knowledge from your studies in practice
- A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
- Flexible working to combine studies and job in the best possible way
- The opportunity to write your practice-oriented thesis with us