Wissenschaftlicher Mitarbeiter (m/w/d) in Materials Engineering
Core
Modeling and characterization of materials with superelasticity and shape memory effects, including multi-scale modeling and physics-informed machine learning.
Role type
Research scientist (Materials Engineering)
Builds
Digital material twins for shape memory alloys
Domain
Materials science / Computational mechanics
Deliverable
production ML models
Required skills
Material mechanics, numerical simulation, materials science, strength of materials, programming, modeling
Preferred skills
Physics-informed machine learning, multi-scale modeling, data-driven combination of experimental and simulation data
Technologies
Machine learning, numerical simulation
Responsibilities
Modeling and characterization of materials with superelasticity and shape memory effects; Multi-scale modeling and physics-informed machine learning; Analyzing microstructural properties as influencing factors on material laws; Combining experimental and simulation data
Seniority
Junior/Mid-level, research-focused
