Graduate Researcher - Warm Dense Matter Modeling

** What You Will Do*
* The Materials and Physical Data Group of the X-Computational Physics Division (XCP-5) seeks highly motivated candidates for a graduate student research intern position. The research is focused on developing and optimizing a code to model properties of warm dense matters.

The successful candidate will get familiarized with multiple scattering theory for modeling electronic structures of materials at a wide range of conditions, learn to operate LANL's KKR code, and optimize it to run large-scale simulations.

XCP-5 is an interdisciplinary group which develops, implements, and validates constitutive models (material strength, damage and failure, etc.), equations of state (EOS), and physical data libraries including opacities and nuclear cross-sections for use in large-scale simulation codes; additionally, some group members collaborate in the design and analysis of small-scale and integral validation experiments for material models and physical data. XCP-5 offers an exciting, flexible, scientifically challenging work environment with many opportunities to collaborate with the broader LANL scientific community.

** What You Need*
* ** Minimum

Job Requirements:

*
* ** Previous Experience*
* A strong background in one or more of the following fields: physics, applied math, computer science, mechanical engineering, or materials science.

** Computing Experience*
* Experience with scientific computing and programming in Fortran.

** Communication*
* Strong interpersonal and teamwork skills, with a willingness to collaborate with diverse scientific communities at LANL, nationally, and internationally.

** Education/Experience** :
Completed undergraduate degree in physics, applied math, computer science or related field. Must be currently enrolled in a graduate degree program and an accredited university.

** Desired

Qualifications:

*
* ** Previous Experience*
* Experience in one or more of the following: physics and applied math. It is desired that the candidate is skilled in either computational or simulation-based methods.

** Advanced Computing Experience*
* Familiarity with high-performance computing and Unix/Linux environments is desired. Experience in Python is also desired.

** Publication and Presentation Record*
* Demonstrated expertise in computational science through publications and technical presentations.

*
* Work Location:

** The work location for this position has the potential for remote work. Remote work is defined as working offsite that is greater than 2 hours of the Laboratory location. Reporting onsite may be periodically necessary. All work locations are at the discretion of management.

** Note to Applicants:*
* Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

** To be fully considered for the position** , please include a cover letter in which you detail how your experience relates to each of the required and desired skills as applicable. Current official transcript is required.

For specific inquiries regarding the position, please contact Dr. Bao Tran (bao), Dr. Charlie Starrett (starrett) and Dr. Abby Hunter ( ahunter ).

** Where You Will Work*
* Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§  PPO or High Deductible medical insurance with the same large nationwide network

§  Dental and vision insurance

§  Free basic life and disability insurance

§  Paid childbirth and parental leave

§  Award-winning 401(k) (6% matching plus 3.5% annually)

§  Learning…