Masterarbeit – Advanced Engineering & KI-gestützte Methoden
Core
Master's thesis research on advanced engineering methods combining Finite Element Method (FEM) and Artificial Intelligence (AI) to optimize development processes and solve complex physical problems.
Role type
Master's thesis research engineer (computational engineering & AI)
Builds
Simulation strategies, AI surrogate models, and physics-informed ML models for product and process prediction
Domain
Manufacturing engineering, computational physics, artificial intelligence
Deliverable
research
Required skills
Finite Element Method (FEM), Artificial Intelligence (AI), machine learning, Python programming, numerical methods, partial differential equations (PDEs), multi-scale/multiphysics problem solving, mesh manipulation, reduced order modelling (ROM), surrogate modelling
Preferred skills
experience in forming technology, metal processing
Technologies
Python, FEM, AI/ML frameworks, numerical solvers
Responsibilities
Research modern engineering methods using FEM and AI; Design and implement innovative simulation strategies; Solve complex PDEs and multiphysics problems via programming; Investigate and apply AI surrogate algorithms for simulation accuracy and speed; Develop physics-informed ML models
Seniority
Master's student (early career)