About the role#
The Integrated Carbon Conversion Processes group is seeking a graduate intern to assist in developing a digital twin for an experimental biological and thermocatalytic conversion platform. The project aims to create a virtual representation of key unit operations to enable real-time monitoring, dynamic simulation, and predictive analytics for biomass and waste conversion processes.
What you'll 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 assist with experimental feedback loops.
- Document system architecture, modeling workflows, and project assumptions to ensure reproducibility and team collaboration.
What you'll need#
- Currently pursuing or recently completed a master's degree, or currently enrolled in a Ph.D. program in Chemical Engineering, Biology, Mechanical Engineering, Computer Science, Computer Engineering, Biomedical Engineering, Chemistry, or a related field.
- A minimum cumulative grade point average of 3.0.
- Experience programming in Python and/or C++.
- Experience modeling chemical reactors.
- Exposure to artificial intelligence or machine learning methods.
Location & details#
- This position is based in Golden, Colorado, with remote work options available.
- This is a full-time, year-round internship role.
- Employment is subject to Department of Energy access restrictions and requires the ability to obtain and maintain a federal Personal Identity Verification card.
About National Renewable Energy Laboratory
The National Renewable Energy Laboratory operates as the primary national laboratory for the United States Department of Energy focused on energy systems research. Founded in 1977, the organization conducts research in energy efficiency, basic science, and energy security. It maintains a staff of approximately 3,751 employees. The laboratory is based in Golden, Colorado.
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