Postdoctoral Appointee - Modeling of Compressible Flows

Employer
Sandia National Laboratories
Location
Albuquerque, New Mexico
Salary
DoE
Posted
September 06 2019
Ref
667912
Position Type
Contract
Organization Type
Other Corporate
Job Type
Postdoc

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.

Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions to complex problems? Do you want to join a dynamic team that solves significant issues for our nation’s security? We are seeking a Postdoctoral Appointee to support research and development efforts related to compressible flow phenomena.

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

  • Research, develop, and apply models of compressible flow phenomena with primary application to aerodynamic characterization of transonic through hypersonic flight vehicles
  • You will develop and apply methodologies in data-driven turbulence modeling
  • You will contribute to the development of future, high fidelity, state-of-the-art analysis capabilities for describing the turbulent flow-field over flight vehicle surfaces under a broad range of Mach and Reynolds numbers

Department Description:

The Aerosciences Department offers challenging and important work relating to national security in R&D and technology applications in aerodynamics, aerothermodynamics, compressible fluid mechanics, and flight dynamics. Our primary mission supports U.S. Department of Energy Defense Programs, and aerosciences projects funded through the U.S. Department of Defense, DARPA, NASA, and industry.

Our projects span the Mach number range from subsonic through hypersonic and involve systems ranging from aircraft released ordinance to reentry systems and rocket systems. Technical activities include experimental, analytical, and computational efforts plus support of flight test activities, both pre-flight/post-flight analyses and field test operations. The Aerosciences Department maintains a balanced spectrum of activities ranging from fundamental research and development activities to application analysis and design and works synergistically with other organizations at Sandia to meet current and future customer needs.

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.

EEO Statement:

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.

Required:

  • You have a PhD, conferred within 5 years prior to employment, in the aerospace engineering, mechanical engineering, or a related field (with concentration in fluid dynamics)
  • You have development and analysis experience with turbulence modeling (LES, RANS, Hybrid RANS-LES models) for compressible high Reynolds number turbulent flows
  • Your background includes experience with computational approaches (finite element, finite difference, and finite volume methods) for CFD simulations
  • You have good communication skills as evidenced by a history of publication of results in peer-reviewed journals and external presentations at appropriate scientific conferences
  • Ability to obtain and maintain a DoE L clearance

Desired:

  • Experience in numerical simulation of coupled fluid/thermal or fluid/structure interactions
  • Experience in machine learning methodologies for turbulence model development
  • Experience with programming and use of advanced scientific software (CFD, FEA, etc.) on massively parallel computing clusters
  • Experience with Matlab, scripting languages, and grid generation software
  • Experience with code and solution verification, validation, and uncertainty quantification
  • Experience working with a diverse team

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.

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