Postdoctoral Appointee - Mesoscale Materials Modeling
- Sandia National Laboratories
- Location: Albuquerque, NM
- Job Number: 7087709 (Ref #: 679128)
- Posting Date: Oct 23, 2021
Job DescriptionThis 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 attest to their vaccination status 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. : Are you passionate about applying computational methods and modeling to improve the understanding material microstructure and its impact on material performance? If so, you will want to consider applying for this opportunity to join our dynamic, multidisciplinary team. We are seeking one or more Postdoctoral Appointees to conduct research related to the mesoscale/continuum modeling of structural materials On any given day, you may be called on to: + Plan, conduct, and analyze computer simulations of materials behavior to deduce materials structure, properties and performance + Work in conjunction with experimentalists to devise novel mesoscale simulations and/or machine learning analyses for creative solutions to materials science challenges + Synthesize materials knowledge to recommend additional and/or complementary research to provide clearer understanding of material properties and microstructural arrangements + Work in collaborative team environment on multiscale, multidisciplinary, technically challenging projects as part of a dynamic research organization + Effectively communicate accomplishments in presentations at international conferences and publications in peer-reviewed journals Join our team and achieve your goals while making a difference!
+ Possess, or are pursuing, a Ph.D in Physics, Materials Science, Mechanical Engineering, Chemistry, Computer Science, Applied Mathematics or a related Engineering field. + Experience developing and modifying simulation tools in C, C++, Python, Fortran or other modern programming languages + A proven track record of publishing original research in peer- reviewed journals and presentations at professional conferences
+ Experience in simulations of metals deformation and/or microstructural evolution using meso/continuum materials models (e.g. finite element, kinetic Monte Carlo, crystal plasticity, dislocation dynamics, phase field, CALPHAD using Abaqus, SPPARKS, LAMMPS, ParaDiS, MOOSE, PRISMS, etc) and/or applying machine learning techniques to microstructure problems. + Strong background in materials strength and deformation mechanisms at atomistic and meso scales + Experience applying thermodynamic or kinetic materials knowledge to microstructure simulations + Experience in developing and applying material models to study mechanical response of materials + Experience demonstrating teamwork and positive customer interactions + Proven ability to establish strong collaborations with both computational scientists and experimentalists + Consistent track record of first-authorship papers in peer-reviewed publications or conference presentations + Familiarity with implementation of material models in simulation tools + Strong technical writing and verbal skills + The ability to acquire and maintain a DOE Q-level security clearance
The Computational Materials and Data Science Department provides advanced computational analysis that enables materials-based insight and solutions. Capabilities include model development for nanoscalar and mesoscalar materials evolution, interfacial dynamics, defect initiation and propagation, multivariate analysis, and signal processing. We conduct experiments in micromechanics and volumetric flaw distribution to validate our computational work. Our multidisciplinary background and materials science expertise enable mechanistic and physical understanding related to aging and wear of materials such as metals, semiconductors, biomaterials, and polymers in support of DOE nuclear and non-nuclear missions.
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.
This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. 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, resulting in the inability to perform the duties assigned and subsequent termination of employment. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. 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. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date.
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.
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.