Die KI-Suchmaschine für Jobs
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
Beschreibung
You explore machine learning techniques to improve finite element modeling, with a focus on dataset preparation, model implementation, and comprehensive documentation of your findings.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Studying mechanical engineering or similar
- •Good experience in Python
- •Basic knowledge of machine learning
- •Good language skills in German and/or English
Ausbildung
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.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Mentoring & Coaching
- •Professional supervision and collaboration
Startup-Atmosphäre
- •Early team integration and responsibility
Moderne Technikausstattung
- •State-of-the-art machine park
- Fraunhofer-GesellschaftVollzeitPraktikumnur vor OrtAachen
- Fraunhofer-Gesellschaft
Master Thesis: An Industry 4.0-oriented approach to automated simulation-based process optimization(m/w/x)
Vollzeit/TeilzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
Master Thesis: Automated Process Optimization through Industry 4.0 Simulation(m/w/x)
VollzeitWerkstudentnur 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
Master Thesis: Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You explore machine learning techniques to improve finite element modeling, with a focus on dataset preparation, model implementation, and comprehensive documentation of your findings.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Studying mechanical engineering or similar
- •Good experience in Python
- •Basic knowledge of machine learning
- •Good language skills in German and/or English
Ausbildung
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.
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
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
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)
VollzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
Master Thesis: An Industry 4.0-oriented approach to automated simulation-based process optimization(m/w/x)
Vollzeit/TeilzeitPraktikumnur vor OrtAachen - Fraunhofer-Gesellschaft
Master Thesis: Automated Process Optimization through Industry 4.0 Simulation(m/w/x)
VollzeitWerkstudentnur 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