Intern - Quant Modeling & Analysis, R&D Grad Summer

We are seeking a Intern - Quant Modeling & Analysis R&D Grad Summer

We are seeking a graduate student to join a multidisciplinary team that is developing a multiscale framework for predicting metallic microstructure evolution and mechanical failures in extreme environments. Well-matched candidates would be creative problem solvers with knowledge spanning elements of uncertainty quantification, machine learning and materials modeling, and with experience in scientific computing.

The work involves the development of effective supervised and unsupervised learning algorithms to enable large scale studies of phase field and polycrystal structure evolution. This internship is for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.

This position is for our Livermore, CA location.

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.

You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

Note: If you have not yet started your graduate program, please apply to an undergraduate intern position.

Sandia/California's research group is a diverse multidisciplinary community of scientists and engineers who specialize in computational modeling of a variety of science and engineering topics. The work mix includes theory and modeling, scientific and high-performance computing, and applied engineering analysis of experiments and mechanical designs. The modeling and simulation group plays two primary roles in science-based engineering at Sandia: (1) developing new computational methods, capabilities and tools to describe chemical and physical systems; and (2) performing computational analysis to predict the design performance of engineered systems in defense, energy, and industry applications.

The mission of the Quantitative Modeling & Analysis department is to conduct R&D and systems engineering in computer science and engineering across the technical spectrum from data to decision making.

Research is ongoing to enhance predictive modeling in a variety of domains. The department has expertise in computer science, software development, and applied mathematics. Primary research areas include uncertainty quantification, optimization, inference modeling, data assimilation, and algorithm development. Primary application development work focuses on verification, validation and uncertainty quantification of complex problems. We develop tools that address specific analysis steps, as well as integrating those tools in a productive workflow.

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:

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: 687618