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Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
Description
You explore machine learning techniques to improve finite element modeling, with a focus on dataset preparation, model implementation, and comprehensive documentation of your findings.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Studying mechanical engineering or similar
- •Good experience in Python
- •Basic knowledge of machine learning
- •Good language skills in German and/or English
Education
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.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Mentorship & Coaching
- •Professional supervision and collaboration
Startup Environment
- •Early team integration and responsibility
Modern Equipment
- •State-of-the-art machine park
- Fraunhofer-GesellschaftFull-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-/ Masterarbeit: Deep Learning und Machine Learning in der Produktion(m/w/x)
Full-timeInternshipOn-siteAachen
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
The AI Job Search Engine
Description
You explore machine learning techniques to improve finite element modeling, with a focus on dataset preparation, model implementation, and comprehensive documentation of your findings.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Studying mechanical engineering or similar
- •Good experience in Python
- •Basic knowledge of machine learning
- •Good language skills in German and/or English
Education
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.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Mentorship & Coaching
- •Professional supervision and collaboration
Startup Environment
- •Early team integration and responsibility
Modern Equipment
- •State-of-the-art machine park
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.
- 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-/ Masterarbeit: Deep Learning und Machine Learning in der Produktion(m/w/x)
Full-timeInternshipOn-siteAachen