(Year-Round) Graduate Intern - Marine Hydrokinetic Data Curation
About The Position
The NLR Data Engineering Group is seeking a Graduate Intern to curate the Marine & Hydrokinetic Data Repository (MHKDR) and support other domain-specific data repositories. These repositories provide public access to outcomes of Department of Energy-funded research in geothermal, marine and hydrokinetic technologies, and other areas including water purification, the energy-water nexus, renewable energy systems, and alternative energy systems. The intern will curate individual submissions and advise researchers and scientists on organizing project data for submission. Submissions may involve computational fluid dynamics, mechanical engineering, wave and current monitoring, structural testing, and marine and hydrokinetic energy converters. Curation involves reviewing submission metadata for accuracy, completeness, and relevance to the submitted files; organizing disparate submissions; standardizing metadata fields; adopting and implementing emerging data standards and requirements; and adding supplemental information that may help the DOE categorize submissions. Curators contact submitters when needed to resolve discrepancies or omissions. The intern should be comfortable working independently, critically evaluating datasets, and proposing practical data organization and metadata solutions. The role may also support other energy research projects through data organization, analysis support, or documentation of datasets used in ongoing research. The expected average contribution is 20 hours per week during semesters and 40 hours per week during breaks, including summer. The position is an internship with a fixed term. NLR is located in Golden, Colorado, and is the nation's primary laboratory for energy systems research and development. The Data Engineering Group is a multidisciplinary team of data and software engineers, data scientists, and product developers developing data solutions for strategic energy analysis. The team focuses on making energy data and software more accessible, usable, and actionable for researchers and engineers.
Requirements
- Minimum cumulative GPA of 3.0.
- Currently enrolled in, or within one year after completing, a graduate program in engineering, marine science, data science, or a related field.
- Strong written and verbal communication skills.
- Demonstrated attention to detail and organizational ability.
- Ability to work independently and manage open-ended tasks.
- Interest in data management, curation, or scientific data workflows.
- Must meet educational requirements before the employment start date.
- Applicants must upload official or unofficial school transcripts; a letter of recommendation is required if selected.
Nice To Haves
- Experience working with datasets related to marine energy systems or other energy technologies.
- Experience with marine hydrokinetic datasets, including computational fluid dynamics, mechanical engineering, wave and current monitoring, structural testing, or MHK energy converters.
- Experience with geothermal datasets, including geophysical, geological, geochemical, or geospatial data.
- Experience with other renewable and alternative energy systems, such as solar power, biofuel, hydrogen, building science, chemistry, grid modernization, or wind power.
- Python coding experience.
- Customer service experience.
- Critical thinking and problem-solving skills.
Responsibilities
- Curate marine and hydrokinetic datasets for metadata completeness, accuracy, and alignment with repository standards.
- Apply data standards and identify gaps or inconsistencies in submissions.
- Coordinate with data submitters to resolve issues and improve data quality and usability.
- Review, organize, and enhance metadata and data submissions, including standardizing metadata fields and adding supplemental information.
- Advise researchers and scientists on organizing project data for submission.
- Occasionally support energy research through data management, analysis support, literature review, or documentation of datasets.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 403(b) Employee Savings Plan with employer match
- Sick leave where required by law
- Potential performance-, merit-, and achievement-based awards with a monetary component, subject to eligibility
- Possible relocation expense reimbursement for some positions
- Professional development opportunities
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What This Job Offers
Job Type
Part-time
Career Level
Intern
