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    Postdoctoral Appointee - Albuquerque, United States - Sandia National Laboratories

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    Description

    Job Description


    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.

    What Your Job Will Be Like

    We are seeking a postdoctoral appointee to perform research on energy storage analytics with a specialization in machine learning.

    On any given day, you may be called on to:
    Analyze energy storage applications
    Characterize energy storage test data
    Develop optimization algorithms to make energy storage decisions (e.g., sizing, location, dispatch, etc.)
    Apply machine learning techniques to optimize the use of energy storage for grid applications
    Publish research in conference and journal publications


    Due to the nature of the work, the selected candidate must be able to work onsite at the Sandia Albuquerque location.

    Qualifications We Require

    Ph.
    D. in Mathematics or a related field with a focus on energy applications and machine learning
    Coursework or experience with optimization methods and their application in electric power systems
    Coursework or experience with energy storage and grid applications
    Qualifications We Desire

    Strong programming skills with scripting languages like Python, R, MATLAB, etc.
    Machine learning coursework or experience
    Database coursework or experience
    Demonstrated publication record
    Excellent verbal and written communication skills
    About Our Team


    The Energy Storage Technology and Systems Department is focused on the development of advanced energy storage technologies and systems including the development of low-cost battery technologies, safety and reliability of energy storage systems, power electronics and power conversion systems, computational and analytical tools for efficient utilization of energy storage in the electricity infrastructure.

    In addition, the department manages several activities for the DOE OE Energy Storage program related to the deployment and demonstration of new energy storage projects, including the development of methods and tools to evaluate the performance of storage systems, and methods for the optimal utilization of energy storage assets.

    The department works closely with a number of departments across Sandia in materials sciences, power sources, electrical sciences, fire science, power systems, renewables and grid integration.

    We also have active collaborations with many stakeholders in the electricity industry including electric utilities, product developers, universities and other national laboratories to enable the development and rapid integration of energy storage technologies in the electricity infrastructure.

    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.

    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.

    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.



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