What Your Job Will Be Like:
We are looking for an Intern - Uncertainty Quantification and Machine Learning in Physical Models, R&D Undergrad Year Round
We are looking for student interns to join our team in developing methods and software for uncertainty quantification (UQ) and machine learning in various physical models, including high-impact applications from climate modeling and materials science. 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.
On any given day, you may be called on to:
develop automated UQ workflows
improve our software library that augments PyTorch-based neural networks with various UQ methods
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.
NNSA Requirements for MedPEDs:
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Qualifications We Require:
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
Currently attending and enrolled full time in an accredited undergraduate program
Pursuing a science, engineering, or math major
Minimum cumulative GPA of 3.0/4.0
Ability to work up to 25 hours per week during the academic year, and up to 40 hours per week during the summer
U.S. citizen, asylee, refugee, or lawful permanent resident of the U.S.
Qualifications We Desire:
Experience with scientific computing and machine learning
Coursework and interest in linear algebra, probability theory and statistics
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 reactor, 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
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.
Job ID: 688086
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- Worklife Balance
- Flexible Work Schedules
- Generous Paid Time Off
- Exceptional 401K Savings Plan
- Medical/Dental/Vision Insurance
- Wellness Programs
- On-site Amenities
- Vacation Buy Plan
- Telecommuting Arrangements*
*with management approval
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- Close proximity to first-tier universities, Silicon Valley companies, and other top research laboratories and facilitiesM
- Access to California’s finest public and private schoolsM
- State ParksM
- Sports – Nearby major league franchisesM
- Art havenM
- Proximity to SF Bay AreaM
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