Master Thesis Project: Evaluation of AI-based Surrogate Models for Structural CAE Analysis
Core
Evaluate the applicability and efficiency of AI-based surrogate models for structural CAE analysis compared to traditional finite element simulations.
Role type
Master's thesis researcher (Applied Mechanics)
Builds
Guidelines and recommendations for industrial use of AI surrogates in structural analysis
Domain
Automotive engineering, structural analysis, CAE, Artificial Intelligence
Deliverable
research
Required skills
Finite element analysis, structural mechanics, AI/ML model development, data analysis
Preferred skills
Implicit and explicit analysis experience, automotive industry knowledge
Technologies
Finite element software, AI/ML frameworks
Responsibilities
Develop surrogate models using implicit and explicit analysis data, compare prediction accuracy and computational efficiency with conventional FE simulations, write a report with evaluation and guidelines
Seniority
Master's student