Sandia Corporation - Albuquerque, NM

posted 5 months ago

Part-time,Full-time - Entry Level
Remote - Albuquerque, NM
Professional, Scientific, and Technical Services

About the position

The Electric Power Systems Research group at Sandia National Laboratories is seeking a Research Engineer (job title: R D S&E, Computer Science) with a robust background in computer science. This position is pivotal in making technical contributions and leading projects that focus on machine learning, geospatial analytics, and wildfire research and development as they apply to the electric grid. The successful candidate will be responsible for applying machine learning and geospatial techniques to develop tools for electric utilities and decision-makers in the electric grid sector. This role will involve working with neural networks, clustering techniques, and segmentation models, utilizing geospatial remote sensing data. Collaboration with multiple external organizations, writing proposals, and publishing peer-reviewed articles in conferences and journals will also be key components of this position. On a daily basis, the Research Engineer will demonstrate technical expertise in machine learning and geospatial analytics, particularly as they relate to wildfire and power systems research challenges. Creativity and ingenuity will be essential in providing software and analytical solutions. The role requires collaboration with colleagues and external partners to develop innovative solutions to emerging challenges in the power industry. Additionally, the engineer will be expected to publish research outcomes in peer-reviewed journals and present findings to sponsors and professional communities, such as IEEE and CIGRE, at industry workshops. Given the nature of the work, the selected applicant must be able to work onsite in Albuquerque, NM, ensuring close collaboration with the team and stakeholders.

Responsibilities

  • Apply machine learning and geospatial techniques to create wildfire and power systems tools for electric utilities.
  • Demonstrate technical knowledge in machine learning and geospatial analytics applied to wildfire and power systems research challenges.
  • Provide software and analytical solutions creatively and ingeniously.
  • Collaborate with colleagues and external partners to develop innovative solutions to challenges in the power industry.
  • Publish research outcomes in peer-reviewed journals and conferences.
  • Present research findings to sponsors and professional communities.

Requirements

  • Master's degree in computer science or a relevant field.
  • Experience with machine learning and/or geospatial analytics applied to wildfire and/or power systems challenges.
  • Ability to obtain and maintain DOE L-level security clearance.

Nice-to-haves

  • Strong programming ability and analytical skills, particularly with Python.
  • Experience processing and analyzing real geospatial data and/or power systems data.
  • Technical knowledge in wildfire modeling and/or power system modeling.
  • Strong verbal and written communication skills.
  • Self-motivated and able to work independently with minimal supervision.

Benefits

  • Generous vacations
  • Strong medical benefits
  • Competitive 401k
  • Learning opportunities
  • Relocation assistance
  • Flexible work arrangements including 9/80 and 4/10 workweeks
  • Telecommuting options
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