Postdoc - Nuclear Fuel Performance and Fission Gas Modelling
Core
Investigate chemical and mechanical effects of delayed fission gas release in high burn-up spent nuclear fuel to predict medium-longer term performance for safe storage and licensing.
Role type
Postdoc researcher (computational materials science)
Builds
Predictive models of fission gas release and structural engineering performance in spent fuel
Domain
Nuclear energy / Nuclear waste management
Deliverable
production ML models
Required skills
Computational materials science, mesoscale modeling, physics-based rate theory, fission gas behavior analysis, scientific programming (Python/C++/Fortran), data analysis
Preferred skills
Familiarity with SCIANTIX, TRANSURANUS, or BISON codes, experience coupling mesoscale and macroscopic fuel performance models
Technologies
SCIANTIX, BISON, TRANSURANUS, Python, C++, Fortran
Responsibilities
Develop computational methods to simulate high burn-up spent fuel behavior, model physical-chemical phenomena (diffusion, bubble evolution), integrate microstructural data into models, couple models with macroscopic codes, collaborate with project partners, mentor PhD/Masters students, publish research findings
Seniority
Postdoc (PhD required, active research and mentoring)