Postdoctoral Appointee - Machine Learning Scalable Algorithms

Sandia National Laboratories

Albuquerque, NM

ID: 7062402 (Ref.No. 670004)
Posted: November 16, 2019

Job Description

We are seeking a Postdoctoral Appointee with a real passion for research in computer science or computational science with experience in machine learning or data analytics to make significant contributions to our broad-based computing research organization, with a focus on: + Exploratory/predictive data analytics, + High-performance data analytics (e.g., scalable data analytics/machine learning), or + Multi-scale/multi-physics applications, or + Numerical methods Are you seeking an opportunity to combine high-performance computing with machine learning, data analysis, or graph algorithms to address national computing needs in energy, climate, and national security? As a valued member of our all-star team, you will collaborate with a team of hardworking, multi-disciplinary researchers to explore state-of-the-art architectures and programming models in the dynamic field of computing. On any given day, you may be called on to: + Conduct creative research and develop software to improve the performance of physics-based and data-centric applications + Solve challenging data analysis problems + Execute and optimize your software on state-of-the-art testbed computers and supercomputers at Sandia and other DOE facilities + Collaborate with engineers, mathematicians and scientists across many disciplines + Publish in journals and conferences, and present at national and international venues + Help us define the future of scalable machine learning

Required:
+ You have, or are pursuing, a PhD, in computer science, mathematics, applied mathematics, or a related engineering or science discipline and possess a bachelor's in science, technology, engineering or mathematics (STEM) + Research experience in one of the following areas: data analysis, machine learning, graph algorithms, parallel algorithms + Technical publications in data science or parallel computing conferences and journals, and/or released software used by applications

Desired:
+ Communication skills appropriate for participating in multi-disciplinary teams of mathematicians, engineers and computer scientists + Experience working in collaborative software teams + Machine learning or data analysis experience + Parallel computing experience + Developing scalable algorithms and software to meet the challenges posed by next-generation high-performance computing systems and applications.

Department Description:

The Center for Computing Research (CCR) at Sandia crafts technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state-of-the art applications. Software products are essential tools and critical deliverables as a part of our work. CCR plays a large and growing role in the US and international community in the exploration, adaptation, adoption, development, deployment and dissemination of software engineering methodologies and innovations for computational science and engineering. As part of CCR, the Scalable Algorithms Department develops new algorithms and approaches to address challenges in next-generation computing hardware. The department uses its expertise in applied mathematics and computational science to address these challenges and help define the future of computing. While mission driven and focused, the Scalable Algorithms Department performs most of its research in the public domain, which allows the R&D professionals in the department to publish in the open literature and effectively team with leaders at other labs, universities, and industry.

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 withamazingimpact 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 schedules, generous vacations,strongmedical 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 Statement:

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. : 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.



 

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