Postdoctoral Appointee - Computational Multiscale Research
Job posting number: #7066931 (Ref:672016)
Posted: June 13, 2020
Job DescriptionAre you looking to be a member of a highly motivated team? We are seeking a Postdoctoral Appointee in the areas of multiscale materials modeling, machine learning, and high-performance scientific computing. You will address challenges in the development of novel interatomic potentials for molecular dynamics, the creation of multiscale simulation capabilities (e.g., electronic structure, atomistic scale, continuum scale), and the application of machine learning to problems in materials modeling. This position provides the opportunity to collaborate with a diverse set of colleagues including researchers from your own field, applications specialists, and others, and to engage with the broader research community through publications and participation in leading scientific conferences. Join our team of scientists and researchers and make a difference! You may work with export controlled information which requires US Person status. The Computer Science Research Institute is committed to nurturing a culture compatible with a broad group of people and perspectives in accordance with the changing makeup of the workforce. In support of this vision, the center actively recruits applicants from diverse backgrounds and fosters an inclusive community.
+ You have, or are pursuing, a PhD in Physics, Chemistry, Mathematics, Chemical Engineering, Materials Science, Computer Science, or related science or engineering field, and possess a bachelor’s degree in science, technology, engineering, mathematics (STEM) or related science or engineering field + Experience in research, development, and programming of atomistic simulation methods, primarily molecular dynamics + Experience in high-performance scientific computer programming + Record of research as demonstrated by publications in peer-reviewed journals or competitive conference proceedings + Due to U.S. export-control laws, only U.S. Persons (U.S. citizens, lawful permanent residents, asylees, or refugees) are eligible for consideration
+ Experience with the LAMMPS software package (http://lammps.sandia.gov), both in code development and application + Experience using and developing machine learned models (neural networks, kernel methods, etc.) and mathematic/computational theory of AI/ML + Experience with electronic structure codes such as Gaussian, NWChem, or VASP + Proficiency in C++ and Python software development, code verification, and modern software quality practices + Experience with developing and running complex science and engineering codes on massively parallel computing clusters, including GPU+CPU hybrid platforms + A commitment to fostering an inclusive culture, as demonstrated in your application materials + Interest in impacting applications and customers in support of DOE missions + Able to acquire and maintain a DOE security clearance
The Computational Multiscale Department performs outstanding research and development in physics-based materials modeling and high-performance computing. We combine expertise across multiple fields to solve science and engineering problems in support of the DOE mission. Our team brings together authorities in density functional theory, molecular dynamics, direct simulation Monte Carlo, microstructure modeling, continuum mechanics, equations of state, and peridynamics. We lead a number of software development efforts, including the LAMMPS molecular dynamics code and the FitSNAP machine learning interatomic potential software, and strive to advance the state of the art in materials modeling through a wide range of collaborations across the laboratories.
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.
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.