Intern - Computational Data Science Department, R&D Grad Year Round

We are seeking aIntern - Computational Data Science Department, R&D Grad Year Round

This internship will be focusing on Bayesian Inference & Machine Learning for Climate Science.

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. citizen, asylee, refugee, or lawful permanent resident of the U.S.

Qualifications We Strongly Desire

• Pursuing a graduate degree in computer science, applied mathematics, or a related engineering or science subject area
• Experience with Bayesian inference, Surrogate Modeling, and Markov Chain Monte Carlo
• Experience with Jax and related ML frameworks in python
• Experience working with climate simulations and/or climate datasets
• Excellent written and verbal communication and interpersonal skills
• Expertise in Bayesian Neural Networks or other approaches to UQ for neural networks
• Experience in high performance, distributed, or parallel computing
• Ability to work in collaborative, interdisciplinary research environments on problems comprising diverse application domains
• Related professional experience such as internships in industry or at other national labs, participation in visiting research programs, etc.

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.

The Computational Data Science Department (8738) conducts fundamental research, develops, and applies algorithms at the nexus of machine learning and computational science and engineering models. Team members develop foundational theory, algorithms, and tools, and partner to enable data-guided decision support for science and engineering mission applications. The department emphasizes fundamental, open research in new methods, notably Bayesian inference, machine learning, and reduced-order modeling. The department contributes primarily to nuclear deterrence (including the Advanced Simulation and Computing program), non-proliferation, and open research (funded largely by LDRD and DOE Office of Science).

8738 is one of four departments in the 8730 group. Collectively, we in the Data Sciences and Computing (8730) Group advance foundational and applied research, develop tools and methods, and work closely with mission partners to provide transformative technologies in support of national security. We seek mission impact through cultivating and applying capabilities spanning modsim, graphs and discrete optimization, uncertainty quantification, secure learning algorithms, scientific learning, quantum information science, and national security software systems. As part of the Center for Computation & Analysis for National Security (8700), we’re dedicated to anticipating and reducing national security risks through cross-domain computational and analytical capabilities with an inclusive and hybrid workforce.

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*

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.

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.