Postdoctoral Appointee - Atomistic and Molecular Scale Modeling of Material at Sandia National Laboratories
Livermore, California, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Jul, 25

Salary

0.0

Posted On

14 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Python, Vmd, Machine Learning, Programming Languages, Chemistry, Operating Systems, Materials, Communication Skills, Hearing Aids, Aerospace, Physics, Visualization Software

Industry

Information Technology/IT

Description

BIDDER ELIGIBILITY

This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia’s discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
Employees, excluding student interns, must remain in their current position for one year from their hire date before bidding on a new job. However, the hiring manager may obtain approval to consider a candidate before the one-year requirement is met via the review process. This approval must be secured prior to being interviewed for a posted position. The application of this requirement will not supersede collective bargaining agreements. Please refer to the collective bargaining labor agreements for eligibility requirements for represented bidders.

WHAT YOUR JOB WILL BE LIKE

We are seeking a Postdoctoral Appointee with a focused background in kinetic Monte Carlo (kMC), Molecular Dynamics (MD), Density Functional Theory (DFT) and/or Dislocation Dynamics (DD) to join our interdisciplinary team of scientists and professionals. Technical areas of focus for this position are applying atomic scale simulations (e. g. kMC, MD, DFT) to study problems such as hydrogen embrittlement in various metallic systems, nucleation and growth mechanisms of helium bubbles, desorption kinetics of metal hydrides, microstructure evolution and mechanical properties of aging structural materials. Such work could include developing accelerated kMC codes as well as interatomic potentials in atomistic simulations. Our work strongly couples both experimental and theoretical approaches to provide innovative and robust solutions. You will have the opportunity to interact with experts in diverse fields.

On any given day you may be called on to:

  • Apply fundamental scientific principles in complex material simulations for property estimation and mechanism discovery. This work is expected to lead to the publication of research findings in peer reviewed journal articles and technical reports. Within this work you will have the opportunity to explore modern techniques such as machine learning.

The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

QUALIFICATIONS WE REQUIRE

  • Ph.D. in Material Science, Physics, Chemistry, Mechanical or Aerospace Engineering, or related discipline
  • Demonstrated experience publishing peer-reviewed journal articles
  • Strong written and communication skills

QUALIFICATIONS WE DESIRE

  • Demonstrated technical background in atomic scale modeling
  • Experience in materials physics
  • Modeling hydrogen interactions with materials and radiation damage in materials
  • Familiarity with UNIX/Linux operating systems and code development (HPC environments)
  • Proficiency in modern programming languages such as C++ and Python
  • Experience with modeling and simulation tools
  • Utilizing high-performance computing resources to efficiently manage and perform large-scale simulations
  • Atomistic simulation codes (e.g. LAMMPS), and visualization software (e.g. OVITO, VMD)
  • Density Functional Theory codes (e.g. VASP)
  • Dislocation Dynamics experience (e.g. ParaDIS)
  • Optimizing and calibrating of potential parameters (e.g. Mathematica, Dakota)
  • Experience with machine learning
  • Ability to work in a team environment

NNSA REQUIREMENTS FOR MEDPEDS

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date

Responsibilities

Please refer the Job description for details

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