Post-Doctoral Research Associate

CCS-2


The Computational Physics Group (CCS-2) is a multidisciplinary research group that develops mathematical models and numerical algorithms for the latest high-performance computer architectures, such as Roadrunner (currently #1 of the “Top 500”). The group uses these simulation tools to solve problems in application areas that include national security, climate, and energy production. Our expertise is in the areas of fluid dynamics, shock hydrodynamics, radiation and neutron transport, climate prediction, material modeling, and algorithm optimization for the latest computer architectures.


The Computational Physics Group is seeking several extraordinary post doctoral candidates in the following research areas:


1. Development of methods for compressible hydrodynamic methods for large-scale physics computer simulation codes, with a particular emphasis on numerical methods to include one or more of the following: shock hydrodynamics, high energy density flow regimes, coupling issues with other physical phenomena, plasma physics, material strength issues, multiphase flows, fluid mixing for multicomponent flows, general equations of state, and extended thermodynamics.

2. Development of methods for computational fluid dynamics with interfacial phenomena for multiphysics applications, with a particular emphasis on numerical methods for interface tracking/capturing with heat and mass transfer.

3. Optimization strategies of coupled-physics algorithms for heterogeneous computer architectures.

These positions require collaboration within a multi-disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists, conducting basic and applied research in support of the Laboratory’s missions.


Required Skills:


· Demonstrated ability to publish research in peer-reviewed journals.

· Demonstrated experience in the design and implementation of computing algorithms, in one or more high-level computing languages (e.g., C/C++, Fortran)

· Detailed knowledge and experience in the development of numerical methods for the particular research area.

· Effective interpersonal skills.

· Demonstrated written and oral communication skills.


Desired Skills:

· Experience working in a multi-disciplinary research environment.

· Experience in the development of large-scale numerical physics simulation codes

· Parallel programming and algorithm development in a mixed-language environment.

· Experience with accelerated computer architectures (e.g., Cell, GPU)

· Adaptive mesh refinement (AMR) strategies.

· Ability to obtain a DOE Q clearance, which generally requires U.S. citizenship.


Notes:

Education: The minimum required education is a Ph.D., received within the past five years, in physics, applied mathematics, computer science, or a relevant engineering field.