Intern - ML/UQ in Atomistic Modeling, R&D Grad Year Round
What Your Job Will Be Like
We are seeking an Intern - ML/UQ in Atomistic Modeling, R&D Grad Year Round.
This graduate R&D intern will join our multidisciplinary team to develop a predictive multiscale modeling capability that will advance the fundamental understanding of plasma-facing materials in fusion energy reactors, with broader impact in materials discovery. We look for a candidate with scientific computing experience, and with knowledge spanning parts of machine learning (ML), uncertainty quantification (UQ), and atomistic materials modeling. The project at hand targets the use of ML and UQ methods for Bayesian learning of interatomic potentials (IAPs), forward propagation of uncertainty in molecular dynamics simulations, and model validation with experimental measurements. The work will involve machine learning of IAPs, optimal design, and active learning with density functional theory data, UQ with IAP model error constructions, as well as Bayesian optimization and model selection. The intern will work with Sandia staff scientists and will gain experience with a range of computational research in our team and at Sandia, with the research potentially leading to publications in high-impact peer-reviewed journals.
COVID-19 Vaccination Mandate
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.
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.
Qualifications We Require
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
- Earned bachelor's degree
- Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
- Minimum cumulative GPA of 3.0/4.0
- Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
- U.S. citizenship
Qualifications We Desire
- experience with scientific computing and machine learning
- knowledge of stochastic methods and principles (uncertainty quantification)
- software development and programming experience with Python
- strong 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, and utilize both local computer clusters and the DOE Leadership Class supercomputers to conduct massively parallel simulations.
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.