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Postdoctoral Appointee - Machine Learning & Uncertainty Quantification for Complex Subsurface C[...]

Company: University of Texas at El Paso
Location: Livermore
Posted on: February 24, 2021

Job Description:

Postdoctoral Appointee - Machine Learning & Uncertainty Quantification for Complex Subsurface Characterization Job posting number: #7075280 (Ref:674844) Posted: February 18, 2021 Job Description This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. : We are seeking a motivated Postdoctoral Appointee. On any given day, you may be called upon to: + Develop and apply state-of-the-art machine learning and uncertainty quantification techniques in the general area of subsurface characterization and other problems important to Sandia's mission, including but not limited to turbulent combustion modeling + Utilize your strong background in machine learning and/or uncertainty quantification + Address complex problems creatively + Work effectively both independently and in collaboration with other researchers + Present results at national/international meetings and to publish research in high profile peer-reviewed journals

Required:
+ PhD in engineering or applied mathematics + Experience in machine learning and/or uncertainty quantification + Publication record, research and development presentations, software releases, and/or knowledge of applications indicative of relevant research expertise in computational science and uncertainty quantification + Experience with code development and software engineering skills, such as C++ and/or python

Desired:
+ Ability to work in a collaborative research environment on problems in a variety of domains + Proven experience with statistical analyses/learning (including Bayesian methods) + Openness to working on different physics disciplines + Strong verbal and written communication skills + Proven ability to work with multi-disciplinary teams with diverse technical backgrounds

Department Description:

The Quantitative Modeling & Analysis department conducts R&D and systems engineering in computer science and engineering across the technical spectrum from data to decision making. Research is ongoing to enhance predictive modeling in a variety of domains. The department has expertise in computer science, software development, and applied mathematics. Primary research areas include uncertainty quantification, optimization, inference modeling, data assimilation, and algorithm development. Primary application development work focuses on verification, validation and uncertainty quantification of complex problems. We develop tools that address specific analysis steps, as well as integrating those tools in a productive workflow.

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 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.

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 Statement:

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. : Employees must remain in their current position for one year before applying for a new position, with the exception of student interns. Application of this requirement will not supersede the Laboratories' collective bargaining agreements. See collective bargaining labor agreements for represented bidder eligibility requirements for represented employees. : 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.

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.

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Keywords: University of Texas at El Paso, Livermore , Postdoctoral Appointee - Machine Learning & Uncertainty Quantification for Complex Subsurface C[...], Other , Livermore, California

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