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Intern - Validation Verification (V& V), Uncertainty Quantification (UQ), Credibility Process R& D Graduate Summer
(This job is no longer available)
Sandia National Laboratories | Albuquerque, NM
Grad Date

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Job Description


Student interns in engineering, applied math, computer science or other aligned majors are being sought for the summer of 2018\.

On any given day, you may be called on to:

+ Assist in computational simulation and uncertainty analysis on several engineering test problems to assess the effectiveness and efficiency of several model calibration and uncertainty propagation methods
+ Perform appropriate documentation and presentation of methods, testing and analysis procedures, and results


You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

+ Earned bachelor's degree
+ Currently attending and enrolled full time \(or scheduled to graduate in the spring\) in an accredited science, engineering, or math graduate program
+ Minimum cumulative GPA of 3\.0/4\.0
+ Ability to work up to 40 hours per week during the summer
+ U\.S\. citizenship

Note: If you have not yet started your graduate program, please apply to an undergraduate intern position\.


+ Cumulative GPA of 3\.5/4\.0
+ Completed coursework in basic probability/statistics, uncertainty quantification, and/or optimization
+ Prior experience with Unix/Linux operating systems for immediately proficient operation in Sandia’s computational simulation environment
+ Prior working knowledge of Matlab and/or Python for collecting and analyzing data from results files generated by computer simulations
+ Past experiences of effectively documenting and presenting methodologies, results, and important findings from prior work or research activities would be advantageous

Department Description:

The mission of the V&V, UQ, Credibility Processes Department is to provide research, development, and application of mathematical and experimental techniques to assess the credibility of physics\-based computational simulations\. The multi\-disciplinary team, experienced in simulation and experimentation, draws from a wide range of disciplines, including fluid dynamics, electromagnetics, radiation effects, solid and structural mechanics, heat transfer, numerical methods, optimization, statistics, and risk assessment, to support the laboratories mission\. Verification determines whether a computational model accurately represents the conceptual\-mathematical model of a physical process, and that the computational model is solved correctly\. This requires an exacting knowledge of models and their numerical approximations when implemented into codes\. Validation determines, quantitatively, the degree of agreement between experimental data and simulation data, including their respective uncertainties\. Uncertainty quantification is a key element of validation and it encompasses a broad range of mathematical and statistical analysis methods\. The combination of verification, validation, and uncertainty quantification establishes credibility in our computational models, which are then employed in making high\-consequence risk\-informed decisions\. The analysis tools developed in 1544 can be used to \(1\) focus and prioritize research and development expenditures, \(2\) mitigate risk through exploration of system design alternatives, \(3\) optimize products and process in the presence of both uncertain and variable parameters, and \(4\) support risk\-informed decision making based on statistically\-quantified data\.

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 \(DOE\)\-granted security clearance\.

Sandia will conduct a pre\-employment drug testing, and a pre\-employment background review that includes personal reference checks, law enforcement record checks, and employment and education verifications\. Further, employees in New Mexico must pass a U\.S\. Air Force background screen for access to the work site\. 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, rendering the inability to perform the duties assigned and resulting in termination of employment\.

If hired without a clearance, and one subsequently becomes required or you bid on positions that require a DOE\-granted security clearance, a pre\-processing background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications may be conducted prior to a required federal background investigation\. Applicants for DOE\-granted security clearances must be U\.S\. citizens and be able to obtain and maintain the appropriate DOE security clearance as required for the position\.

EEO Statement:

Equal opportunity employer/Disability/Vet/GLBT

About Sandia National Laboratories

Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin company, for the U.S. Department of Energy. With main facilities in Albuquerque, NM, and Livermore, CA, Sandia has major R&D responsibilities in national security, energy and environmental technologies, and economic competitiveness.