Masterarbeit: »ML-basierte Methoden als Ersatz für die Finite-Elemente-Modellierung«

The Fraunhofer-Gesellschaft is seeking a motivated student to implement a new algorithm based on graph neural networks as an alternative to Finite Element Modeling (FEM). The role involves investigation of ML-based methods, dataset creation, model implementation and validation. It offers a modern, collaborative environment and a chance to contribute to the Fraunhofer Society's innovation efforts.

Requirements

• Study of engineering (mechanical, business, computer science, or a similar field)
• Initial experience with Python
• Basic knowledge of machine learning theory and methods
• Good German and/or English language skills

Benefits

• Professional support and collaboration
• Modern machine park
• Focus on diversity and inclusion