Fraunhofer-Gesellschaft
Masterarbeit: ML-basierte Methoden als Ersatz für die Finite-Elemente-Modellierung(m/w/x)
Full-timeInternshipOn-site
Aachen
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FRFraunhofer-Gesellschaft
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
Aachen
Full-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Developing and validating surrogate models for engineering simulations, including dataset creation and model implementation. Good Python experience and basic machine learning knowledge required. Access to state-of-the-art machine park.
Requirements
- Studying mechanical engineering or similar
- Good experience in Python
- Basic knowledge of machine learning
- Good language skills in German and/or English
Tasks
- Investigate ML methods for FEM surrogates.
- Create and prepare datasets for use cases.
- Implement selected ML model and validate results.
- Document and prepare results.
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Mentorship & Coaching
- Professional supervision and collaboration
Startup Environment
- Early team integration and responsibility
Modern Equipment
- State-of-the-art machine park
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Master Thesis: An Industry 4.0-oriented approach to automated simulation-based process optimization(m/w/x)
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Bachelor-/ Master Thesis: Investigation of effects of surface metrology data on optical simulation(m/w/x)
Full-timeWorking StudentOn-siteAachen
FRFraunhofer-Gesellschaft
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
Aachen
Full-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Developing and validating surrogate models for engineering simulations, including dataset creation and model implementation. Good Python experience and basic machine learning knowledge required. Access to state-of-the-art machine park.
Requirements
- Studying mechanical engineering or similar
- Good experience in Python
- Basic knowledge of machine learning
- Good language skills in German and/or English
Tasks
- Investigate ML methods for FEM surrogates.
- Create and prepare datasets for use cases.
- Implement selected ML model and validate results.
- Document and prepare results.
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Mentorship & Coaching
- Professional supervision and collaboration
Startup Environment
- Early team integration and responsibility
Modern Equipment
- State-of-the-art machine park
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
The Fraunhofer-Gesellschaft operates 76 institutes and research units throughout Germany and is a leading applied research organization. It focuses on developing key technologies and enabling commercial utilization by business and industry.
Not a perfect match?
- Fraunhofer-Gesellschaft
Masterarbeit: ML-basierte Methoden als Ersatz für die Finite-Elemente-Modellierung(m/w/x)
Full-timeInternshipOn-siteAachen - Fraunhofer-Gesellschaft
Master Thesis: An Industry 4.0-oriented approach to automated simulation-based process optimization(m/w/x)
Full-time/Part-timeInternshipOn-siteAachen - Fraunhofer-Gesellschaft
Master Thesis: Automated Process Optimization through Industry 4.0 Simulation(m/w/x)
Full-timeWorking StudentOn-siteAachen - Fraunhofer-Gesellschaft
BT/MT: Deep learning and machine learning in production(m/w/x)
Full-timeWorking StudentOn-siteAachen - Fraunhofer-Gesellschaft
Bachelor-/ Master Thesis: Investigation of effects of surface metrology data on optical simulation(m/w/x)
Full-timeWorking StudentOn-siteAachen