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.
What Your Job Will Be Like
We are seeking a postdoctoral appointee with strong mathematical and computational background who will pursue research at the intersection of machine learning (ML), uncertainty quantification, and applied mathematics. We seek a creative problem solver with fundamental knowledge in probability theory, differential equations, optimization, and experience in scientific computing, evidenced by publications and codes. The postdoctoral appointee will contribute towards development and deployment of advanced ML methods with connections to random dynamical systems and differential equations. Specific developments include exploring neural networks (NNs) in the continuous-layer limit as differential equations, augmenting NNs with probabilistic weights, as well as crafting advanced regularization and dimensionality reduction methods. The work involves regular interaction with the project team, as well as collaboration with application teams across Sandia. The project is expected to result in publications in peer-reviewed journals and impact in understanding the advantages and limitations of probabilistic NNs viewed as random dynamical systems.
Qualifications We Require
- PhD in the physical sciences, mathematics, engineering, or computer science
- Experience in scientific computing, machine learning and numerical methods
- Experience in Python and common ML libraries
Qualifications We Desire
- Knowledge and expertise in computational science and software development
- Experience in performing collaborative and interdisciplinary research
- Excellent verbal and written communication skills.
About Our Team
The Plasma & Reacting Flow Science department at Sandia primarily works on projects funded by the U.S. Department of Energy Office of Science to address needs surrounding both high temperature and low temperature plasma phenomena, combusting flows, reacting gas-solid interfaces, uncertainty quantification (UQ), and related topics such as scientific machine learning. We operate state-of-the-art experimental laboratories, conduct work at the DIII-D tokamak reactor, and utilize both local computer clusters and the DOE Leadership Class supercomputers to conduct massively parallel simulations.
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.
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.