Integrated Data Science and ML Postdoctoral Appointee - Hybrid
Job ID: 691692Apply Now
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.
What Your Job Will Be Like:
We are seeking a motivated postdoctoral appointee to perform leading-edge research on fusing machine learning and Bayesian methods to calibrate and quantify the region of applicability of physics-based and data-driven models in the presence of uncertainty. This role will include both algorithm and computational framework development. The potential application problems are wide-ranging and include:
Ablation modeling for hypersonics
Thermal analysis for nuclear deterrence
Subsurface contaminant transport
Solid mechanics constitutive modeling
On any given day you will be called on to
Conduct fundamental research, analysis, and demonstrations of new capabilities
Participate in an engaging research environment collaborating with world-renowned experts in a variety of technical fields
Publish in highly reputable journals and conference venues
Learn about the missions of the laboratory and strive towards impacting these missions with novel research
Hybrid Work: The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Qualifications We Require:
PhD in computational science, engineering, applied mathematics or related STEM field
Experience with high-level coding languages such as, Matlab or Python
History of publication of results in peer-reviewed journals and presentations at scientific and/or technical conferences
Able to acquire and maintain a DOE Q-level security clearance
Qualifications We Desire:
Experience with Linux-based computing environments, version control, and Python
Expertise in uncertainty quantification
Expertise in data-driven closure/constitutive models
Strong teaming and collaboration skills
About Our Team:
The Optimization & Uncertainty Quantification Department at Sandia provides leadership in the research, development, and application of scientific optimization and UQ algorithms and software (design optimization, parameter estimation, uncertainty quantification, and sensitivity analyses). This department also maintains partnerships at many levels and collaborates actively with other government institutions, universities and industry.
Our team is committed to nurturing environment compatible with a broad group of people and perspectives in accordance with the changing makeup of the workforce. In support of this vision, we actively recruit applicants from diverse groups of backgrounds and fosters an inclusive community. Join us and work towards your goals while making a difference!
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.
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. 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.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
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.
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.
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral 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.
Job ID: 691692
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