Modeling and Simulation of Inertial Confinement Fusion Physics Postdoc (IRC146358)

Los Alamos National Laboratory; Los Alamos (NM); Sur place; USD 70 000 - 90 000; Plein temps

Résumé du poste

Los Alamos National Laboratory invites applications for a postdoctoral position in the Eulerian Codes Group (XCP-2) focusing on plasma physics, ICF modeling, and code development using the xRAGE AMR framework. The role includes validation, model implementation, and collaborative publication with experimentalists.

The successful candidate will work on Extended MHD, non-local heat transport, and transport modeling, contributing to ICF simulations and HEDP experiments while advancing numerical

Qualifications

• PhD in Physics, Applied Mathematics, Engineering or related field.
• Strong numerical methods background for HEDP or related systems.
• Proficiency in Fortran, C/C++, or Python.
• Strong publication record.
• Strong communication skills.
• Ability to obtain a DOE Q Clearance (US Citizenship typically required).

Responsabilités

• Develop and validate physics models in the xRAGE code for ICF and HEDP applications.
• Contribute to radiation-hydrodynamics and Eulerian AMR modeling packages.
• Perform code validation and detailed comparisons with experiments.
• Collaborate with experimentalists and computational scientists to publish results.

Connaissances

Fortran

C/C++

Python

DOE Q Clearance

Formation

PhD in Physics/Applied Math/Engineering

Outils

xRAGE

AMR

Description du poste

The Eulerian Codes Group (XCP-2) in the X-Computational Physics (XCP) Division is seeking an outstanding candidate for a postdoctoral position in code development and modeling related to plasma physics and Inertial Confinement Fusion (ICF). This work will involve contributing to the development of one or more physics packages relevant to inertial confinement fusion (ICF) modeling as well as utilizing novel capabilities to simulate ICF implosions. XCP-2 supports and develops the xRAGE Radiation-Hydrodynamics Eulerian Adaptive Mesh Refinement (AMR) code, which is widely used to perform simulations of ICF and High Energy Density Physics (HEDP) experiments. The candidate will assist in the development of physics models in the xRAGE code. The position will also involve validation of physics models and their implementation in the xRAGE code as applied to the simulation of ICF and HEDP experiments, as well as performing detailed code comparisons. The successful candidate is expected to work in a team environment with experimentalists and computational scientists, implement models and methods in xRAGE, and publish results.

Specific models may include:

• Extended magnetohydrodynamics (for pulsed power experiments)
• Synthetic x-ray, neutron, gamma, and/or radiochemistry diagnostics
• Reduced models for laser-plasma interactions and coupling to hot electron transport
• Monte Carlo charged particle transport (thermonuclear reaction products)
• Multi-temperature multi-species fluid modeling
• Thermal conduction (non-local and coupling to laser physics and magnetohydrodynamics/MHD)
• Non-local thermodynamic equilibrium (nLTE)
• Plasma transport

Minimum Job Requirements:

• A PhD in Physics, Astrophysics, Applied Mathematics, Engineering, or related field
• Solid background in numerical methods and modeling HEDP or related systems
• Proficiency in Fortran, C/C++, or Python
• Strong record of publications commensurate with experience
• Strong oral and written communication skills
• Ability to obtain a DOE Q Clearance, which typically requires US Citizenship

Desired Qualifications:

• Experience with theoretical or computational plasma physics
• Experience with magnetohydrodynamics
• Experience in neutral particle transport and nuclear reactions (nuclear engineering)
• Experience in modeling highly-coupled physics experiments for compressible flows
• Solid background in numerical methods for solving systems of partial differential equations in fluid dynamics or related fields
• Experience with massively parallel numerical development and simulation
• Experience with deploying numerical algorithms to future computing architectures
• Experience with code development relevant to computational physics

Education:

A Ph.D. in Applied Mathematics, Physics, Engineering, Computational Science, or a closely related field completed within the past five years or soon to be completed.