Postdoctoral Researcher Quantum Materials Topology (DFT/ML)

Los Alamos National Security LLC

Los Alamos (NM)

On-site

USD 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Parental leave
401(k) with matching
Tuition assistance
Flexible PTO
Onsite gyms

Job summary

Los Alamos National Laboratory (LANL) is seeking a postdoctoral researcher in computational materials physics to apply DFT and high-throughput methods for discovering and inverse-designing 2D f-electron materials with topological properties.

You will develop workflows, utilize VASP/Quantum Espresso/Wien2k and contribute to a collaborative project across theory and experiment, aiming to enable future quantum information devices at LANL and partner institutions.

Qualifications

  • Ph.D. in Physics, Chemistry, or Materials Science (completed within the last 5 years) is required.
  • Strong publications track record in computational materials theory.
  • Experience with first-principles DFT simulations and HPC environments is essential.

Responsibilities

  • Apply DFT and high-throughput methods to discover and inverse-design 2D f-electron materials with non-trivial topology.
  • Develop computational workflows and adapt existing DFT codes for new materials challenges.
  • Collaborate with theory and experimental teams to advance quantum information platforms.

Skills

DFT simulations
VASP
Quantum Espresso
Wien2k
Python
C++
Fortran
Machine learning

Education

Ph.D. in Physics, Chemistry, or Materials Science

Tools

Python
C++
Fortran

Job description

Los Alamos National Laboratory (LANL) is seeking a postdoctoral researcher in computational materials physics to apply DFT and high-throughput methods for discovering and inverse-designing 2D f-electron materials with topological properties.

You will develop workflows, utilize VASP/Quantum Espresso/Wien2k and contribute to a collaborative project across theory and experiment, aiming to enable future quantum information devices at LANL and partner institutions.

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