Remote Graduate Research Intern - Computational Materials

Los Alamos National Security LLC

Los Alamos (NM)

On-site

USD 40,000 - 60,000

Full time

12 days ago

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Benefits offered by this job

Medical insurance
Dental and vision insurance
Tuition assistance
Relocation packages
Flexible schedules

Job summary

Los Alamos National Laboratory, located in New Mexico, is offering a graduate student research intern position in the X-Computational Physics Division. The role focuses on developing and optimizing a code to model properties of warm dense matter, using multiple scattering theory and LANL's KKR code for large-scale simulations.

Ideal candidates have a strong background in physics, applied math, CS, or related fields, with experience in Fortran and Python, and are currently enrolled in a graduate

Qualifications

  • A strong background in physics, applied math, CS, ME, or materials science.
  • Experience with scientific computing and programming in Fortran.
  • Strong interpersonal and teamwork skills, with collaboration across groups.
  • Completed undergraduate degree in relevant field and enrolled in a graduate program.

Responsibilities

  • Develop and optimize code to model properties of warm dense matter.
  • Familiarize with multiple scattering theory for electronic structures.
  • Operate LANL's KKR code and optimize it for large-scale simulations.
  • Collaborate with LANL scientists across disciplines.

Skills

Physics
Applied Math
Computer Science
Mechanical Engineering
Materials Science

Education

Undergraduate degree in physics, applied math, computer science or related field

Tools

Fortran
Python
Unix/Linux

Job description

Los Alamos National Laboratory, located in New Mexico, is offering a graduate student research intern position in the X-Computational Physics Division. The role focuses on developing and optimizing a code to model properties of warm dense matter, using multiple scattering theory and LANL's KKR code for large-scale simulations.

Ideal candidates have a strong background in physics, applied math, CS, or related fields, with experience in Fortran and Python, and are currently enrolled in a graduate

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