Posting Title

Graduate (Year-Round) Intern – Data Science Researcher

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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Working at NREL

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.

From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.

NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.

Our planet needs us! Learn about NREL’s critical objectives, and see how NREL is focused on saving the planet.

Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.

Job Description

The Data, Analysis, and Visualization Group within NREL’s Computational Science Center has an opening for a graduate student researcher focusing on machine learning for spatiotemporal data analysis techniques. The researcher will support applied data analysis tasks in varied applications including wind energy potential (modeling) and large spatiotemporal resource datasets (e.g., wind, solar, wave). The researcher will also assist in designing, prototyping, and informing future workflows and collaborating with other research groups.

We are looking for a dynamic and motivated researcher with a strong technical background and an interest in the mission of NREL. The successful candidate will collaborate with NREL staff and researchers to design, develop, and implement custom data-driven visualization applications.

Responsibilities Include:

• Assist in the execution of data analysis and visualization tasks to support applied research
• Collaborate with NREL researchers to design, prototype, and test novel visualization techniques
• Navigate and utilize necessary software development frameworks and languages (e.g., web technologies, python, JavaScript etc.)
• Process NREL datasets and integrate domain models into application workflows
• Assist in the authoring, preparation, and presentation of technical papers, reports, and conference proceedings on topics related to visualization, workflows, and human-computer interaction techniques

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Basic Qualifications

Minimum of a 3.0 cumulative grade point average.

Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.

Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.

Please Note:
• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications