Dein persönlicher KI-Karriere-Agent
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
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.
Anforderungen
- Studying mechanical engineering or similar
- Good experience in Python
- Basic knowledge of machine learning
- Good language skills in German and/or English
Aufgaben
- Investigate ML methods for FEM surrogates.
- Create and prepare datasets for use cases.
- Implement selected ML model and validate results.
- Document and prepare results.
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Benefits
Mentoring & Coaching
- Professional supervision and collaboration
Startup-Atmosphäre
- Early team integration and responsibility
Moderne Technikausstattung
- State-of-the-art machine park
Noch nicht perfekt?
- Fraunhofer-GesellschaftVollzeitPraktikumnur vor OrtAachen
- Fraunhofer-Gesellschaft
BT/MT: Deep learning and machine learning in production(m/w/x)
VollzeitWerkstudentnur vor OrtAachen - Fraunhofer-Gesellschaft
Bachelor-/ Masterarbeit: Deep Learning und Machine Learning in der Produktion(m/w/x)
VollzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
Bachelor-/ Master Thesis: Investigation of effects of surface metrology data on optical simulation(m/w/x)
VollzeitWerkstudentnur vor OrtAachen - Fraunhofer-Gesellschaft
Thesis: AI-based process development of extreme high-speed laser cladding(m/w/x)
Vollzeitnur vor OrtKeine AngabeAachen
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
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.
Anforderungen
- Studying mechanical engineering or similar
- Good experience in Python
- Basic knowledge of machine learning
- Good language skills in German and/or English
Aufgaben
- Investigate ML methods for FEM surrogates.
- Create and prepare datasets for use cases.
- Implement selected ML model and validate results.
- Document and prepare results.
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Benefits
Mentoring & Coaching
- Professional supervision and collaboration
Startup-Atmosphäre
- Early team integration and responsibility
Moderne Technikausstattung
- State-of-the-art machine park
Über das Unternehmen
Fraunhofer-Gesellschaft
Branche
Research
Beschreibung
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Noch nicht perfekt?
- Fraunhofer-Gesellschaft
Masterarbeit: ML-basierte Methoden als Ersatz für die Finite-Elemente-Modellierung(m/w/x)
VollzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
BT/MT: Deep learning and machine learning in production(m/w/x)
VollzeitWerkstudentnur vor OrtAachen - Fraunhofer-Gesellschaft
Bachelor-/ Masterarbeit: Deep Learning und Machine Learning in der Produktion(m/w/x)
VollzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
Bachelor-/ Master Thesis: Investigation of effects of surface metrology data on optical simulation(m/w/x)
VollzeitWerkstudentnur vor OrtAachen - Fraunhofer-Gesellschaft
Thesis: AI-based process development of extreme high-speed laser cladding(m/w/x)
Vollzeitnur vor OrtKeine AngabeAachen