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National Renewable Energy Laboratory Postdoctoral Researcher – Machine Learning for Combustion Science in Golden, Colorado

Posting Title

Postdoctoral Researcher – Machine Learning for Combustion Science

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Location

CO - Golden

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Position Type

Postdoc (Fixed Term)

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Hours Per Week

40

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Job Description

Applicants are invited to apply for a postdoctoral position in the Biosciences Center to develop predictive models and statistical correlations for advanced biofuels research. Using modern data science techniques, the applicant will work closely with both experimental and computational researchers to develop machine learning models of physical properties as a function of molecular structure, investigate semi-empirical methods for blend property prediction, and use statistical techniques to guide future fuel selection and optimize performance in conventional and future compression ignition engines.

Job responsibilities include the following:

  • Evaluate the performance of existing models for cetane number (CN), boiling point (Tb) or distillation curve, melting point (Tm) or cloud point, flashpoint (Tfp), and water solubility (Sw) on new biofuel candidates and identify where new experimental data needs to be collected.

  • Use techniques from graph neural networks to improve performance of traditional fuel property prediction methods.

  • Effectively communicate and interact with scientists and engineers to define the requirements of the simulations and models. Obtain necessary input data for simulations and provide meaningful interpretation of modeling results to guide experiments, operations, and engineering designs.

  • Disseminate knowledge through publications in technical journals and presentations at conferences, symposia, and review meetings. Provide reports on technical work and input to technical publications and presentations.

  • Work with management and senior staff to plan and design projects, determine technical objectives, and interact with and provide regular project reports to government and/or industrial clients.

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Basic Qualifications

Must be a recent PhD graduate within the last three years in Chemical Engineering, Mechanical Engineering, Applied Math, Computer Science, or a related field.

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Additional Required Qualifications

  • A strong publication record in the peer-reviewed scientific literature

  • Demonstrated experience communicating results at national/international conferences

  • Ability to work independently and in teams to deliver high-quality results within aggressive timelines.

  • Strong background in statistics, regression, uncertainty analysis, and/or machine learning

  • Fluency in Python and at least one deep learning framework (tensorflow, pytorch, etc.)

Preferred Qualifications

  • A strong publication record in the peer-reviewed scientific literature

  • Demonstrated experience communicating results at national/international conferences

  • Ability to work independently and in teams to deliver high-quality results within aggressive timelines.

  • Strong background in statistics, regression, uncertainty analysis, and/or machine learning

  • Fluency in Python and at least one deep learning framework (tensorflow, pytorch, etc.)

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Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.

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