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Research & Development, Mathematician/Statistician/Probability Professional (Experienced)
Sandia National Laboratories in Albuquerque, New Mexico
Date Posted 07/28/2020
Employment Type Fulltime
Application Deadline Open until filled

What Your Job Will Be Like

The Applied Systems Analysis and Research Department (8844) is seeking a dedicated R& D Mathematician to join our multidisciplinary team of scientists and engineers who are passionate about their work. You will be developing innovative solutions for probabilistic uncertainty and sensitivity analysis of the complex, coupled problems related to deep geologic disposal of nuclear waste. You will use state-of-the-art software tools and high-performance computing to build a sound technical basis for and improve confidence, in multiple disposal options.

Are you ready to put your knowledge, skills, and experience to work crafting creative solutions to challenging problems that impact the nation? You could join this dynamic team and embark on a rewarding career.

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

  • Implement and apply uncertainty and sensitivity analysis methods for high-dimensional, highly-coupled, nonlinear systems subject to multiple types of uncertainty;

  • Implement and apply methods for geostatistical analysis, inverse modeling, and parameter estimation;

  • Characterize the uncertainties associated with the coupled processes affecting the performance of deep geologic repository systems;

  • Characterize stochastic, spatially heterogeneous (hydro)geologic features and properties;

  • Develop creative software solutions for uncertainty and sensitivity analysis, run-control, pre- and post-processing, and visualization.

Qualifications We Require

  • Master’s degree in Math, Statistics, Geoscience, or other related degree; or equivalent combination of education and experience.

  • Proven ability to conduct research and development;

  • Expertise in uncertainty and sensitivity analysis;

  • Ability to obtain and maintain a DOE L-level security clearance.

Qualifications We Desire

  • PhD in Math, Statistics, Geoscience, or other relevant degree;

  • Experience performing sampling-based uncertainty and sensitivity analysis, including methods such as variance-based decomposition, principal component analysis, and surrogate modeling techniques;

  • Experience using probabilistic and statistical methods to characterize geologic systems and heterogeneous media, such as kriging and Bayesian calibration;

  • Understanding of data analytics and machine learning algorithms;

  • Experience using and developing software and/or scripts for uncertainty and sensitivity analysis in a Linux or Unix environment (e.g., C++, Fortran2003, Python, R, etc.);

  • Demonstrated ability to succeed through teaming with other scientists and engineers;

  • Excellent communication skills and a demonstrated ability to develop technical ideas and results and present them in oral and written form;

  • Ability to work in an environment with changing priorities.

About Our Team

The Applied Systems Analysis and Research Department develops a wide range of software and engineering solutions to ensure the safe deep geologic disposal of commercial spent nuclear fuel and US DOE legacy nuclear wastes. We develop high performance computing, quality-assured software for probabilistic performance assessment of deep geologic disposal systems, including tools for simulation of the coupled processes affecting radionuclide release and transport in the subsurface, sampling-based uncertainty and sensitivity analysis, and automated run-control. We conduct experiments at an underground research laboratory in bedded salt to characterize features and investigate processes affecting repository performance; and partner with adjacent departments and colleagues throughout the national lab complex to integrate mechanistic models of the physical and chemical processes affecting engineered and natural barrier systems into total system performance assessments of generic repositories in a variety of host rock environments.

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

Position requires a Department of Energy (DOE) L-level security clearance.

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment must be able to obtain and maintain a DOE L-level security clearance, which requires U.S. citizenship. 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.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.


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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