Undergraduate/Post-Undergraduate (Summer) Intern – Computational Modeling of Catalytic Bioenergy Processes jobs in United States
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National Laboratory of the Rockies · 4 hours ago

Undergraduate/Post-Undergraduate (Summer) Intern – Computational Modeling of Catalytic Bioenergy Processes

The National Laboratory of the Rockies (NLR) is a leading institution for energy systems research and development. They are seeking a summer intern to perform computational modeling and data analysis for optimizing catalytic bioenergy processes, collaborating with scientists to validate simulations and contribute to high-impact energy research.

Clean EnergyCleanTechEnergyRenewable Energy

Responsibilities

Performing simulations using high-fidelity Computational Fluid Dynamics (CFD) and reduced order models of transport and reactive processes within catalytic reactor systems
Implementing kinetic schemes into reduced order models and performing optimization routines to fit kinetic parameters
Analyzing validation experiments
Programming scripts to analyze results from simulations
Providing regular written and oral progress updates at project meetings
Working safely and independently in a laboratory setting
Planning and executing research in collaboration with other researchers
Contributing to the creation of technical reports and peer-reviewed publication
Working effectively in a large, multidisciplinary, multi-institutional team of engineers and scientists

Qualification

Computational Fluid DynamicsPythonData analysisFEM/FVMMachine learningResearch skillsCollaborationCommunication skillsTechnical writing

Required

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
Currently enrolled in or recently graduated from a bachelor's degree program in Computer Science, Chemical Engineering, or a related field
Demonstrated programming skills in Python and libraries such as: SciPy, Matplotlib, NumPy
Strong motivation to contribute to high-impact research
Demonstrated ability to collaborate and work efficiently within a team
Excellent writing and communications skills, with the ability to present technical results to a wide audience

Preferred

Current junior or senior level student or recent graduate of a bachelor's degree in Computer Science, Chemical Engineering, or a related field
Familiarity with Linux environments and high-performance computing
Knowledge of or experience using FEM and/or FVM software including OpenFOAM, MFIX, COMSOL, Fluent, or similar (CFD packages)
Knowledge of or experience with performing and analyzing reactor-scale simulations
Knowledge of or experience with catalytic processes (modeling or experimental)
Knowledge/experience with machine learning i.e. tensor flow/PyTorch

Benefits

Medical, dental, and vision insurance
403(b) Employee Savings Plan with employer match
Sick leave (where required by law)
Performance-, merit-, and achievement- based awards that include a monetary component
Relocation expense reimbursement

Company

National Laboratory of the Rockies

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The U.S. Department of Energy's primary national laboratory for energy systems research and development.

Funding

Current Stage
Late Stage
Total Funding
$166.09M
Key Investors
US Department of EnergyARPA-E
2024-09-04Grant
2023-09-21Grant· $1M
2023-05-22Grant· $150M

Leadership Team

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Clay Sumner
Deputy Chief Financial Officer
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Jennifer L.
Chief Financial Officer
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