ID: 7061867 (Ref.No. 669692)
Posted: October 26, 2019
You have the following: + Ph.D. in a field of physical sciences, applied mathematics, or related engineering or science discipline conferred within five years prior to employment + Experience in scientific computing, algorithm and software development + Knowledge and expertise in uncertainty quantification or machine learning
Ideally, you will also have expertise in one or more of the following areas: • Knowledge and expertise in developing algorithms for quantifying uncertainties in physical sciences. • Knowledge of low-rank tensors, optimal experimental design, and active learning methods • Knowledge and expertise in C++ and Python • Experience in performing collaborative research • Excellent interpersonal skills • Experience in open source software project development.
The Quantitative Modeling and Analysis Department conducts research, development, and systems engineering in computer science and engineering to address important, complex national security problems. Our R&D staff tackles challenging research problems that lead to fundamental advances in large-scale modeling and simulation for Sandia's customers and sponsors. Research areas include uncertainty quantification, machine learning, infrastructure resilience, a posteriori model refinement, numerical optimization, and high-performance computing with applications to large-scale models. Much of the work is conducted in interdisciplinary teams, including interactions across several departments within Sandia as well as external collaborators. Researchers will be encouraged to publish and present results in leading peer-reviewed journals and conferences as well as to develop software. Much of our application development work focuses on verification, validation and uncertainty quantification of complex problems. We provide trusted design and software development for large, operations software as well as detailed scientific computing software. The work is focused on providing efficient, validated information and technologies for use in predictive modeling and decision-making.
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: + Challenging work withamazingimpact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible schedules, generous vacations,strongmedical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* _World-changing technologies. Life-changing careers._ Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification.
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 need to 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 clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to 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. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date.
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 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. : _Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions? Do you want to join a dynamic team that solves significant issues for our nation's security?_ We are seeking a motivated postdoctoral appointee to join our team. You will be a creative problem solver working on developing computational models for new materials aimed for long-term energy storage. The project you will be working on targets the use of uncertainty quantification and machine learning methods to design interatomic potentials consistent with theoretical models and experimental data. You will focus on algorithms for identifying structural deficiencies in lower fidelity models and will explore optimal experimental design and active learning techniques for interatomic potential model development to reduce discrepancies between low- and high-fidelity models without a significant increase in computational cost. : 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.