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Los Alamos National Laboratory
Postdoctoral Positions (full-time or part-time) in the Physics and Chemistry of Materials group (T-1
Career Insights for Materials Research Engineer
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What they do
A Materials Research Engineer researches materials and works to discover materials that may be used in new and emerging technologies and support innovation. Identifies new or different combinations of materials to improve product performance and durability.
$99,165 / year median in New Mexico
+2% projected growth
Job Description
$94k
Per Year
Position range in Northern Region $61k - $99k Per Year Postdoctoral Positions (full-time or part-time) in the Physics and Chemistry of Materials group (T-1
Los Alamos National Laboratory
Occupation:
Bioinformatics ScientistsLocation:
Los Alamos, NM - 87544Job Type:
Full and Part Time PositionsPosted:
08/04/2026 Positions available: 1Source:
Los Alamos National LaboratoryWeb Site:
www.lanl.gov Job #:IRC145280
Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window. Work Onsite Full Time Schedule Full and Part Time Positions Job Description Help for Job Description. Opens a new window. What You Will Do The Physics and Chemistry of Materials group (T-1) at Los Alamos National Laboratory seeks qualified applicants for several postdoctoral openings, to push the boundaries of science and strengthen national scientific and technical capabilities in a highly engaging scientific environment. The successful candidates will be expected to perform outstanding research in the field of computational physics and chemistry on problems concerning properties and dynamics of materials. The members of the T-1 group, who would sponsor the postdoctoral associate, are experts in theory and simulation of materials using a wide range of techniques, spanning multiple length-scales, from the atomic to the continuum. We provide unique opportunities for cross disciplinary collaborations, scientific workshop organization, and conference attendance. Outstanding applicants may be nominated for prestigious LANL-funded fellowships, enabling the pursuit of independent research. The Physics and Chemistry of Materials group seeks to understand how basic forces operating at the atomic level manifest themselves in the properties of matter at the macroscopic level. The group maintains theory, modeling and simulation capabilities in a broad set of materials-related areas. Current activities in the group include research in atoms, molecules, solids, liquids, gases, and plasmas. Our goal is to provide innovative and creative solutions needed to solve technical problems across the Laboratory's missions, including energy security, stockpile stewardship, and global threat reduction. Additional Information Help for Additional Information. Opens a new window.What You Need Minimum Job Requirements:
- Demonstrated expertise in one of the following:
- Electronic structure theory and atomistic simulations of materials
- Classical, semi-classical or quantum molecular dynamics
- Multiscale physics and continuum models
- Equation of state and thermodynamics
- Materials mechanical properties, reactive burn and flow
- Opacities and the physics of hot and warm dense matter
- Machine learning methods in their application to materials and chemistry research
- Quantum information science, quantum computing and quantum materials.
- Demonstrated experience in conducting original scientific research through peer reviewed publication record.
- Excellent communication skills (both oral and written).
Education/Experience:
A PhD in Physics, Chemistry, Materials Science, Computer Science, or related fields, completed within the last five years or soon to be completed.Desired Qualifications:
- Experience in computer programming using modern computing languages.
- Experience in running large-scale computational physics, chemistry, or materials science codes based on atomistic quantum-chemical approaches and/or molecular dynamics using classical force-fields and/or continuum models.
- Experience with High Performance Computing (HPC) or GPU computing.
- Demonstrated ability to work independently and with minimum supervision.
- Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed.
- Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.