Job Description
Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Together with our partners, customers and the world of science, we develop leading-edge technologies, and excellent products and services for about 40 markets and for thousands of applications: seals, vibration control components, batteries and fuel cells, technical textiles, filters, cleaning technologies and products, specialty chemicals and medical products.
You support our team as
Master thesis in the field of ai-based development tools (m/f/d)
- Independent familiarization with the topic of machine learning (ML) for hybrid modelling of digital twins
- Research on the current state of the art
- Evaluation of various ML methods for rapid component analysis using simulation data
- Investigation / use of an existing automated FE calculation process to generate training data for ML models
- Expansion of the automated process to carry out rapid component analyses and application to an initial component class (e.g. O-ring seals)
- Cross-departmental project coordination and communication
- Enrolled in a degree program in electrical engineering, mechanical engineering, civil engineering, data science or similar; previous knowledge of technical mechanics and/or data analytics.
- Good technical understanding
- Independent, structured, systematic and goal-oriented way of working
- Good knowledge of Microsoft Office
- Strong analytical and organizational skills
- Very good written and spoken German and good English skills.
- High degree of initiative, motivation and team spirit
- Enrolled in a degree program in electrical engineering, mechanical engineering, civil engineering, data science or similar; previous knowledge of technical mechanics and/or data analytics.
- Good technical understanding
- Independent, structured, systematic and goal-oriented way of working
- Good knowledge of Microsoft Office
- Strong analytical and organizational skills
- Very good written and spoken German and good English skills.
- High degree of initiative, motivation and team spirit
Cafeteria/ Canteen
We offer fresh food on-site, both hot and cold.
Easily Reachable
Easy, low-stress access by car or public transport.
Personal Development
We offer a variety of trainings to ensure you can develop in your career.
Employee discounts
Opportunities for deals on products and services.
Public Transportation Allowance
Commute more affordable thanks to public transport allowance.
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