Job Information

Sandia National Laboratories Postdoctoral Appointee in Scientific Machine Learning in Albuquerque, New Mexico

Posting Duration:

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.

COVID-19 Vaccination Mandate:

Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires be fully vaccinated or have an approved medical or religious accommodation 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.

What Your Job Will Be Like:

We are seeking a postdoctoral candidate interested in developing and applying novel machine learning methodologies for the purpose of scientific discovery of emergent epidemiological trends to support enhanced and accelerated pandemic response. Research will focus on developing explainable, data-driven models that can capture complex, multi-scale disease progression dynamics by combining scientific computing and machine learning subject areas (Scientific Machine Learning). The work will be performed with an interdisciplinary research team with research strengths in computational mathematics, computational science, high performance computing, scientific software development, uncertainty quantification, and machine learning algorithms.

Applicants on this requisition may be interviewed by multiple organizations at Sandia National Laboratories.

The selected applicant can be a virtual worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required.

Qualifications We Require:

  • Possess, or are pursuing, a PhD in computational science, computer science, applied mathematics, statistics, data science, or a related engineering or science field

  • Research experience in one or more of the following areas: differential equations, optimization, scientific machine learning, complex systems, epidemiological models, probability theory, uncertainty quantification, or other relevant areas

Qualifications We Desire:

  • Strong written and oral communication and interpersonal skills

  • Ability to work on a team to solving complex interdisciplinary R&D problems relevant to DOE missions.

  • Familiarity with compartmental models (i.e., ordinary differential equations), neural networks as universal approximators, spatial diffusion modeling.

  • A dedication to encouraging an inclusive R&D environment, as proven in your application materials.

  • Background in solving practical problems in science and engineering that involve real world data.

  • Research community leadership through activities such as participation in student or professional organizations, service on committees, workshop and/or conference organization, and editorial roles.

About Our Team:

The mission of the Scientific Machine Learning Department at Sandia National Laboratories is to provide leadership in the research, development, and application of artificial intelligence and machine learning to scientific and engineering problems. The department is well known for research contributions in inverse modeling, design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Key customers include the NNSA Advanced Simulation Computing program, the Office of Science, and the broader Sandia missions in Nuclear Deterrence. The department frequently hosts students and faculty from world-class universities for extended visits through the Computer Science Research Institute (CSRI; see https://csri.sandia.gov/).

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, our center actively recruits applicants from diverse groups of backgrounds and fosters an inclusive community.Join us and work towards your goals while making a difference!

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:

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.

EEO:

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.

Position Information:

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: 682725