What Your Job Will Be Like
Are you looking to do innovative and creative research? Do you want to be a member of a high performing team? You'll want to join our dynamic and multi-disciplinary team to use your experience to develop scalable techniques for optimization (parallel-in-time), inverse problems (related to electromagnetics), and scientific machine learning.
Our team is seeking a creative and driven individual with a strong background in computational science and numerical algorithm development to undertake a challenging research program developing state-of-the-art scalable techniques for optimization (parallel-in-time), inverse problems (related to electromagnetics), and scientific machine learning. To qualify, you will need to possess a strong research track record in one or many of the following areas: multigrid methods, domain decomposition, parallel-in-time solvers or large-scale optimization. You will also need to have excellent communication and social skills. Additional expertise in machine learning and neural networks is desirable. Day to day activities will include algorithm development, implementation, executing studies on state of the art HPC platforms, writing scientific publications, and presenting research results at conferences. You will contribute to open source software implemented primarily in C++. You'll also apply the developed methods and software to models based on partial differential equations (PDEs), specifically fluid dynamics and electromagnetics models, which will demand knowledge of PDE discretization's and their implementations.
Qualifications We Require
You have a bachelor's and advanced degree in Mathematics, Applied Math, Engineering, Physics, Geophysics, or related discipline
Two years of relevant research experience
Programming experience with relevant software development on HPC architectures
Strong publication record as evidenced by accepted, peer-reviewed scholarly articles, issued patents, technical books, conferences, etc.
Your background includes code development experience in C++
Qualifications We Desire
PhD in Mathematics, Applied Math, Engineering, Physics, Geophysics, or related discipline
Excellent written and oral communication skills
Experience in scientific computing and numerical methods for partial differential equations
Experience in computational methods for inverse problems
Experience and/or training in electromagnetics, engineering mechanics, and material science
Experience in machine learning
Familiarity with agile software development practices
Experience with formal software quality engineering principles
Experience implementing algorithms on heterogeneous computational architectures
Research experience in high-performance computational models and uncertainty quantification
This Limited Term Employee (LTE) position is a temporary position for one year term, which may be renewed at Sandia's discretion up to a maximum of seven years.
Individuals in LTE 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.
About Our Team
Are you looking for a creative challenge? You can join this team of scientists and engineers and make a difference. Our team, The Optimization and Uncertainty Quantification Department, is housed within Sandia's Center for Computing Research (https://ccr.sandia.gov). Our mission is to provide leadership in the research, development, and application of scientific optimization and UQ algorithms and software, in support of Sandia's many mission areas. Staff members work in a collaborative, highly multidisciplinary, team-based environment. The department produces several open-source, scientific software packages including Dakota (https://dakota.sandia.gov) and ROL (Rapid Optimization Library https://trilinos.org/packages/rol/). Broad partnerships are maintained at many levels, and collaborations are actively carried out with other government institutions, universities and industry. The department frequently hosts students and faculty from world-class universities for extended visits through the Computer Science Research Institute (CSRI; see http://www.cs.sandia.gov/CSRI/). We value a diverse Team
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 schedules, 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
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 must 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 DOE security clearance, a pre-processing background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance must 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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.