Postdoktor i osäkerhetskvantifiering av kärndata för Gen IV reaktorsystem
Core
Developing and applying uncertainty quantification methods for nuclear data in Gen IV reactor systems, focusing on neutron noise-based core monitoring and source terms for spent fuel.
Role type
Postdoctoral researcher (nuclear physics & data science)
Builds
Advanced uncertainty propagation methods for future reactor systems
Domain
Nuclear energy / Gen IV reactor technology
Deliverable
production ML models | research
Required skills
uncertainty quantification, reactor physics calculations, nuclear data processing, machine learning, surrogate modeling, neutron noise analysis
Preferred skills
applied mathematics, statistics, time-dependent reactor physics, perturbation methods, spent fuel calculations, fast reactor systems modeling
Technologies
Python, C++, Monte Carlo codes, nuclear data libraries (ENDF, JEFF, JENDL)
Responsibilities
Conduct research on uncertainty quantification of nuclear data for Gen IV applications; Generate and use nuclear data files based on uncertainties from evaluated libraries; Process nuclear data for reactor physics and neutron noise calculations; Develop and apply uncertainty propagation methods to neutron noise-based core monitoring; Develop, train, and validate surrogate models for neutron noise codes using machine learning; Quantify uncertainties in source terms for spent fuel; Lead and contribute to scientific publications and conference presentations; Collaborate with national and international partners
Seniority
Postdoctoral researcher (0-3 years post-PhD)