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Postdoctoral Appointee - Uncertainty Quantification & Predictive Learning
Sandia National Laboratories in the Livermore, California
 
 
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Date Posted 09/18/2020
Category
Postdoctoral-Mathematics
Postdoctoral-Computer Science
Postdoctoral-Engineering
Employment Type Full-time
Application Deadline Open until filled
 
 
 
 
 
Job details
Job Type
Full-time
Temporary
Benefits
Pulled from the full job description
Flexible schedules, generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance *
Full Job Description
What Your Job Will Be Like

Are you looking for an opportunity to do creative research?
We are seeking a postdoctoral apointee in the area of uncertainty quantification (UQ) and predictive machine learning in complex systems to join our dynamic team! This position involves the use of UQ and ML methods to study the structure of plasma models and the development of ML surrogates for use in reduced order models for large-scale combustion simulations. Planned activities include employing global sensitivity analysis, Bayesian inference, and manifold learning to analyze predictions of dynamical systems, and the study of probabilistic neural network surrogate techniques for error assessment in reduced order models. The selected candidate will use advanced scientific software tools on DOE high-performance computing platforms, and will collaborate with experts at Sandia and other Department of Energy national labs.

On any given day you might: Work as part of a technical team conducting innovative research in foundational or applied data science Apply data science capabilities to scientific and engineering applications relevant to Sandia’s diverse mission space Publish outstanding new developments in peer-reviewed scientific journals Contribute to development of open-source software Interact and cooperate with a diverse set of colleagues
Qualifications We Require

Ph.D. in applied mathematics, engineering, computer science, or a related computational sciences subject area
Experience with UQ methods and/or machine learning techniques (supervised/unsupervised)
Ability to work in collaborative, interdisciplinary research environments on problems comprising diverse application domains
An inquisitive mind interested in developing and creating innovative solutions to challenging computational sciences questions with practical relevance.
Qualifications We Desire

Experience in solving practical problems in science and engineering that involve encounters with real-world data or predictive simulations
About Our Team

Sandia's Extreme-scale Data Science & Analytics department provides strong expertise in data science and analytics, supporting Sandia's physical sciences and engineering mission partners by enabling the extraction of critical insights from extreme-scale observations, simulations and experiments. Capabilities in the department combine recent advances in applied mathematics and computer science, with expertise in uncertainty quantification, reduced order modeling, linear/multilinear methods, nonlinear optimization, and feature identification techniques. These capabilities complement and leverage existing research in other Sandia departments.
Position Information

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.
About Sandia

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 with amazing impact 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, strong medical 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.
Security Clearance

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.
EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
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