ML and Uncertainty Quantification for Physical Systems Postdoctoral Appointee

Sandia National Laboratories

Albuquerque, NM

Job posting number: #7089763 (Ref:679652)

Posted: November 20, 2021

Job Description

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 demonstrates its commitment to public safety in the national interest by requiring that all new hires attest to their vaccination status before commencing employment. The requirement also applies to those who are telecommuting and working virtually. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. : Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions? Join a dynamic team that helps tackle some of the most challenging issues facing our nation’s security! We are seeking creative problem solvers with scientific computing experience and expertise in data-driven modeling techniques, such as machine learning (ML), reduced order modeling/model order reduction(ROM/MOR), statistical methods, kernel methods, or operator theoretic approaches. This position resides in the Electrical Models & Simulation team at Sandia National Laboratories (SNL) in Albuquerque, NM. As part of our research team, you will work with subject matter experts in a multidisciplinary team to develop, integrate, and apply state-of-the-art physics-based data-driven methods to develop models that improve the performance of electrical modeling and simulation codes. You will have the opportunity to learn and work with large-scale engineering simulations, including distributed or shared memory parallelism and algorithm design . Your duties and responsibilities will include: + Develop, implement and apply state-of-the-art data-driven modeling and uncertainty quantification techniques, which may include machine-learning (ML), reduced order modeling (ROM), and statistical or probabilistic algorithms, to support various modeling and simulation codes + Contribute effectively on multidisciplinary research teams across organizational boundaries + Publish work results in a technical journal or conference

Required:
+ Must have (or soon to complete) PhD degree in applied mathematics, statistics, engineering computer science, or related subject (conferred within 3 years prior to employment) + Experience with machine learning, reduced order modeling, statistical analysis/learning, kernel methods, or operator theoretic approaches applied to a science or engineering field + Experience with UNIX-type operating systems, as well as proficiency with an advanced scientific programming language, such as Python, C++, or Java + Ability to obtain and maintain a DOE Q Security Clearance

Desired:
+ Demonstrated experience with mathematical and computational techniques for modeling systems of differential equations, combining aspects of machine learning (ML), reduced order modeling (ROM), or operator theory + Demonstrated experience with simulation of physical systems including but not limited to analog and/or digital circuits, RF system designs, embedded systems, and electromagnetic radiation (EMR) effects on electronics + Proficiency in Python, Java, or C++ software development, parallel programming environments, code verification, and modern software quality practices + Proven track record teaming in an interdisciplinary R&D environment + Proven research community leadership through activities such as participation in student or professional organizations, service on committees, workshop and/or conference organization, and editorial roles + Ability to acquire and maintain a DOE security clearance

Department Description:

Department 1355 supports electrical circuit and device simulation through the development of customized modeling & simulation tools for electronic design, analysis and qualification. The application platforms (Xyce and Charon) developed within our department are built on state-of-the-art research in algorithms & physics resulting in accurate, validated models. These high-fidelity simulation capabilities are integrated into a QMU framework to support design variability sensitivity and uncertainty throughout the design, analysis, and qualification cycle.

About Sandia:

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* World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification.

Security Clearance:

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.

EEO Statement:

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. : 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: 679652

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.


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