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. : Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires be fully vaccinated or have an approved medical or religious accommodation before commencing employment. The requirement also applies to those who are telecommuting and working virtually. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. : The Materials and Failure Modeling Department is looking for a highly motivated and productive individual to work on a dynamic multidisciplinary team with a focus on the prediction of material behavior in various environments. A key focus is the connection of process-structure-property-performance relationships across a range of materials, structures, and manufacturing processes. In this role, the successful candidate will have the opportunity to: + Work in collaboration with subject matter experts at Sandia on the development of modeling approaches to predict material behavior, including failure, using both traditional Solid Mechanics and emerging machine learning methods. + Develop accelerated predictive capabilities, such as neural networks or parallel time integration, to model the metal Additive Manufacturing process with an emphasis on Solid Mechanics outcomes including residual stress and distortion. + Partner with multi-physics code development teams and experimental mechanicians to drive technical innovation in robust predictive capabilities. + Apply the principles of material mechanics and advanced computational finite-element analysis to provide credible solutions to engineering problems using world-class computational resources. + Collaborate with both internal and external partners to develop new research opportunities. + Publish research findings in peer-reviewed journals. Join our team and achieve your goals while making a difference!

Required:
+ Possess, or are nearing completion of, a PhD in Mechanical Engineering, Applied Mechanics, Aerospace Engineering, Civil Engineering, or related field + Experience performing finite element simulations of materials and structures subjected to complex loading conditions + Excellent written and oral communication skills as evidenced by conference presentations and journal publications + Ability to obtain and maintain a DOE Q clearance

Desired:
+ Knowledge and experience in metal Additive Manufacturing, including process and performance modeling + Experience or knowledge of machine learning techniques such as classification and regression + Experience in computer programming and code development with one or more object-oriented languages such as Python, C++, etc. + Knowledge of nonlinear material behavior, such as fracture mechanics, material failure modeling, and/or finite-deformation computational mechanics

Department Description:

The Materials and Failure Modeling Department 1558 performs mechanics of materials R&D, develops advanced engineering constitutive models, and deploys state-of-the-art computational capabilities to enable credible mechanical and failure predictions. The department’s focus areas include material models for behaviors ranging from aging to shock physics, effective model calibration methodologies, and quantification of uncertainty associated with material models.

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 work arrangements for many positions include; 9/80 (work 80 hours every two weeks with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work and telecommuting (a mix of onsite work and working from home) + 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:

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 need to be able to obtain and maintain a DOE Q-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 DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

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. : 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. Job ID: 679847

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.