The American Society of Mechanical Engineers (ASME)
21 days old
2017-10-272017-11-25

R&D Computer Scientist - Optimization & Uncertainty Quantification (Experienced)

Albuquerque, NM
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  • Job Code
    659166

Job ID: 659166
Company: Sandia National Laboratories
Location: Albuquerque, NM
Job Title:R&D Computer Scientist - Optimization & Uncertainty Quantification (Experienced)

:

We are seeking a Computer Scientist to support activities spanning fundamental algorithm research, object-oriented software development, and development and application of methodologies in the broad area of optimization and uncertainty quantification. Areas of interest include machine learning for model uncertainties, design under uncertainty, synthesis of uncertainty quantification with specific applications such as fluid dynamics, multi-objective optimization, and advanced sampling techniques.

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

+ Develop code and algorithms for high performance computing applications
+ Conduct research and development related to object oriented software design principles and
+ Support software prototyping and experimentation efforts
+ Implement results into our Dakota and/or Trilinos software toolkits where appropriate
+ Lead and support publication and presentation of results in leading technical journals and at technical workshops and conferences

Required:



+ PhD in a computational science discipline (Mathematics, Statistics, Engineering or similar)
+ Experience in the targeted areas
+ Research experience, as evidenced by technical publications and presentations, in the design and analysis of algorithms in the areas of optimization and uncertainty quantification
+ Experience C++ and/or Python programming with relevant software development experience

Desired:

+ Proven ability to work in a collaborative, multi-disciplinary research and software development environment
+ Expertise in scientific computing and numerical methods for partial differential equations, particularly finite-element methods
+ Experience and/or training in one or more engineering application areas, such engineering mechanics, shock physics, electromagnetics, or turbulence modeling



The mission of the Optimization and Uncertainty Quantification Department at Sandia National Laboratories is to provide leadership in the research, development, and application of scientific optimization and UQ algorithms and software. Staff members work in a collaborative, highly multidisciplinary, team-based environment. The department is well known for DAKOTA, a multilevel, parallel, object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analyses. Broad partnerships are maintained at many levels, and collaborations are actively carried out with other government institutions, universities and industry. The department frequently hosts students and faculty from world-class universities for extended visits through the Computer Science Research Institute (CSRI; see http://www.cs.sandia.gov/CSRI/).


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



Categories

  • Mechanical Engineering - Applied Mechanics
  • Mechanical Engineering - Training
  • Mechanical Engineering - University, Academic and Education
  • Mechanical Engineering - Gas Turbine
  • Mechanical Engineering - Quality

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R&D Computer Scientist - Optimization & Uncertainty Quantification (Experienced)

Sandia National Laboratories
Albuquerque, NM

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R&D Computer Scientist - Optimization & Uncertainty Quantification (Experienced)

Sandia National Laboratories
Albuquerque, NM

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