Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**What You Will Do** The Radiation Transport Team within the Computational Physics and Methods group (CAI-2) is seeking an outstanding candidate for a postdoctoral position developing computational transport methods and software. In collaboration with their future mentor, they will propose a well-defined research plan that will allow them to develop new skills and knowledge and produce computational methods and results that can be published in the scientific literature and presented at technical conferences. CAI-2 is a dynamic, collaborative group engaged in the entire computational-physics workflow, from developing novel methods to delivering production-grade single- and multi-physics codes. We engage in fundamental and applied research across diverse fields, including radiation transport, fluid dynamics and turbulent flows, metal casting and advanced manufacturing, Earth systems, astrophysics and plasma physics. The Radiation Transport Team provides subject matter expertise and production software products in the areas of linear and nonlinear neutral particle transport (neutron/gamma, thermal X-rays), charged particle transport, and high energy-density physics. **What You Need** **Minimum Job Requirements:** **Technical Expertise** Expertise in one or more of the following areas - Theoretical and numerical methods for radiation transport - Software development for radiation transport - Applications of transport methods and codes - Computational algorithm development **Communication** Effective interpersonal skills, as well as excellent oral and written communications skills. Demonstrated ability to publish in the relevant academic journals. **Problem Solving** Demonstrated ability to analyze and provide creative solutions for technically complex problems. **Computing** Excellent scientific programming skills and experience with languages such as Python, C/C++, and/or Fortran for scientific applications. Ability to work and communicate effectively in a collaborativ