Verification, Validation and Uncertainty Quantification Postdoc at Los Alamos National Laboratory

Location: Los Alamos, NM

Cap-Exempt H-1B Position — No lottery required

**What You Will Do** Are you ready to begin a career assessing predictive confidence of computational physics codes? If so, we encourage you to learn more about our Postdoctoral Research Associate openings in the Computational Physics: Verification & Analysis group (XCP-8) at the Los Alamos National Laboratory (LANL). We are looking for several highly motivated post-doctoral candidates in the areas of verification, validation (V&V) and uncertainty quantification (UQ). In this role you will apply analysis methods, including V&V, UQ, Automatic Differentiation, and/or surrogate models to assess computational physics simulations of materials under extreme conditions. A background in a relevant field of physics is preferred (e.g. hydrodynamics, fluid dynamics, shock physics, turbulence, solid mechanics, material strength, material failure, plasma physics, radiation transport, and/or magnetohydrodynamics). You will have the opportunity to publish results in peer-reviewed journals and present at top tier conferences. ******What You Need**** **Minimum Job Requirements:**** Technical Background A background in computational physics in a relevant or closely related field, e.g. hydrodynamics, plasma physics, shock physics, fluid mechanics, solid mechanics, and/or material dynamics and advanced analysis of simulations, including but not limited to verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area. Numerical Modeling and Simulation Demonstrated experience in development, setup, execution, and/or postprocessing of numerical models and simulations. You will need the ability to run export-controlled codes which generally requires US Citizenship or Permanent Residency. Research Expertise You will need to have conducted high level research in one or more of the following areas: simulation, verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems o