Are you looking for a creative challenge? Passionate about your work and dream of exploring solutions within a dynamic team that solves significant issues for our nation's security?
We are seeking a driven Postdoctoral Appointee with a real passion for research in computational science and numerical algorithm development to undertake a challenging research program developing and improving scalable techniques for Scientific Machine Learning. You will possess a strong research track record in at least one of the following areas: multigrid methods, domain decomposition, parallel-in-time solvers or large-scale optimization. Additional expertise in machine learning and neural networks is desirable but not required. Day to day activities will include algorithm development, implementation, executing studies on state of the art HPC platforms, writing scientific publications, and presenting research results at conferences. You'll contribute to open source software implemented primarily in C++. In addition, strong written and oral communication skills are required for this research position. The expectation is to author academic publications and present at technical meetings. Some travel.
The Computational Mathematics Department (1442) conducts research in computational and applied mathematics motivated by science and engineering applications of interest to Sandia National Laboratories and the U.S. Department of Energy. We interact and collaborate with a broad range of Sandia and DOE staff and maintain a research presence in the external professional community by collaborating with universities and industry, publishing peer-reviewed literature, participating in professional societies, and refereeing and editing for journals. 1442 is a team of scientists and engineers and make a difference. We value a diverse Team
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
This position does not currently require a Department of Energy (DOE) security clearance.
Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico must pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment.
If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a DOE security clearance, a pre-processing background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance must be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
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.