Sandia National Laboratories, Sandia National Laboratories

Position ID: 1902-POSTDOC1 [#17851, 678692]
Position Title: Postdoctoral Appointee - Scientific Machine Learning
Position Type: Government or industry
Position Location: Albuquerque, New Mexico 87185, United States [map]
Subject Area: Postdoctoral Appointee
Application Deadline: 2021/11/05 11:59PMhelp popup (posted 2021/10/01, updated 2021/07/01, listed until 2021/11/05)
Position Description:    

*** the list date or deadline for this position has passed. ***

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) 284-7400.


We are seeking a postdoctoral appointee at the Computer Science Research Institute with a strong background in the development of numerical methods, and/or development of algorithms for HPC platforms. The successful candidate will contribute to an effort developing numerical methods for machine learning on leadership class HPC platforms. This work is targeting applications in scientific machine learning, where the appointee will work in a team of rearchers to apply their HPC machine learning technologies to problems of broad interest to the science and engineering community, including applications in climate science and plasma physics.

The Computer Science Research Institute is committed to nurturing a culture compatible with a broad group of people and perspectives in accordance with the changing makeup of the workforce. In support of this vision, the center actively recruits applicants from diverse groups of backgrounds and fosters an inclusive community.

In this role, you will work collaboratively on a multidisciplinary research team conducting fundamental algorithmic research.

On any given day, you may be called on to:

·        Conduct innovative research in Scientific Machine Learning (SciML)

·        Work towards publishing new developments in high-profile peer-reviewed scientific journals or refereed conference proceedings; contribute to development of open-source software for high-performance computing environments

·        Interact with a diverse set of colleagues from both your own field, applications specialists, and others

·        Travel as needed to support projects


·        Have, or are pursuing, a PhD in mathematics, computer science, or related engineering or science field (conferred within 3 years prior to employment)

·        Experience in numerical methods development or developing methods suitable for HPC environments

·        Experience with high performance parallel computing environments including MPI, OpenMP or CUDA

·        A background that includes research experience evidenced by a record of research publications and professional presentations

·        Able to acquire and maintain a DOE security clearance, which requires US citizenship


·        Proven programming and algorithm development skills as evidenced by software developed by the applicant

·        Familiarity with optimization or deep learning

·        Experience with multi-level methods, domain decomposition, matrix sketching, or hiearchical matrices

·        Experience with Tensorflow/pyTorch, and the application of machine learning (ML) techniques to large datasets

·        Passion around applying machine learning and computational methods to problems in science and engineering

·        Strong written and oral communication skills

·        Strong personal motivation and the capability to work within a team and autonomously

·        A dedication to encouraging an inclusive culture, as proven in your application materials

·        Proven track record teaming in an interdisciplinary R&D environment

·        A background in solving problems in science and engineering that involve encounters with real world data

·        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

Department Description:

The Computational Mathematics Department (01442) conducts research in computational and applied mathematics motivated by science and engineering applications of interest to Sandia National Laboratories and the U.S. Department of Energy. Members of the department interact and collaborate with a broad range of Sandia and DOE staff and also maintain a research presence in the external professional community by collaborating with universities and industry, publishing peer-reviewed literature, participating in professional societies, and refereeing and editing for journals.

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:*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 three 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.

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Contact: Taylor Williams
Postal Mail:
PO Box 5800 MS 1497
Albuquerque, NM 87185-0100
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