Dislocation Analysis Computational Materials Science – Postdoctoral Researcher
Core
Developing multiscale simulation frameworks and machine-learning methodologies to model X-ray scattering interactions with crystalline defects in advanced metallic alloys.
Role type
Postdoctoral Researcher in Computational Materials Science
Builds
Virtual X-ray diffraction simulation frameworks and dislocation analysis tools for plastically deformed alloys
Domain
Materials Science / Computational Physics / Nuclear Engineering
Deliverable
production ML models | research
Required skills
Atomistic and dislocation simulation methods (Molecular Dynamics, Dislocation Dynamics, Crystal Plasticity), High-performance computing (parallelized codes in C/C++/Python), Multiscale modeling framework development, Machine learning for data analysis, Algorithm design and code validation
Preferred skills
Synchrotron high energy X-ray diffraction theory and experiment familiarity, Integration of multiple simulation methods
Technologies
C, C++, Python, Molecular Dynamics, Dislocation Dynamics, Crystal Plasticity, High-performance computing environments
Responsibilities
Develop and validate multiscale simulation frameworks for virtual X-ray diffraction, Design and conduct complex molecular and dislocation dynamic simulations, Develop machine-learning based methodology for dislocation analysis, Publish research results in peer-reviewed journals and present at conferences
Seniority
Postdoctoral (PhD required)