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Graduate (Year-Round) Internship – Digital Twin Development for Biorefinery Processes

National Renewable Energy Laboratory

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Hours
Full time
Where
Golden, CO
Posted
Aug 17

Posting Title

Graduate (Year-Round) Internship – Digital Twin Development for Biorefinery Processes.

Location

CO - Golden.

Position Type

Intern (Fixed Term).

Hours Per Week

40.

Working at NLR

NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.

What you'd do

  • Design and implement process models representing biomass conversion, upgrading, and separation units
  • Integrate sensor data and historical process data into the digital twin architecture
  • Develop simulation tools and dashboards for visualization, control, and scenario analysis
  • Contribute to model validation using pilot-scale data and collaboration on experimental feedback loops
  • Document assumptions, system architecture, and modeling workflows for reproducibility and team collaboration
  • Participate in team meetings and present regular progress updates
  • Contribute toward peer reviewed manuscripts and other technical documentation.

What they want

  • 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.
  • The candidate should be currently pursuing or have recently completed a master's degree or be currently enrolled in a Ph.D. program in computational sciences, computational engineering, mechanical engineering, chemical engineering, biological engineering, chemistry, biology, or a related field
  • Experience programming in Python and/or C++
  • Experience modeling chemical reactors (e.g., using Cantera) and integrating with computational fluid dynamics (CFD) frameworks
Starts
2026-06-23