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Internship (Summer) Machine Learning for Computational Fluid Dynamics
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Job Description

The High Performance Algorithms and Complex Fluids (HPACF) group in the Computational Science Center (CSC) is seeking a full-time (40 hours per week) summer intern. The intern will apply machine learning techniques to simulations of turbulent flows relevant to renewable energy systems. The intern will work as a member of HPACF’s group to drive the development of new models, algorithms and techniques for simulations in high performance computing. Daily responsibilities will include computer programming and using deep learning for data analysis. The intern will also work with the team to prepare the results for presentation at appropriate conferences and publication in scientific journals.

Must have experience or be willing to learn about turbulent flows and machine learning techniques. The intern must have experience in computational programming frameworks (Python, UNIX, etc.). Ability to work both independently and as part of a team required.


Required Education, Experience, and Skills

Must be enrolled as a full-time student in a degree granting program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average. Please Note: Before interview selection, you will need to provide unofficial transcripts to verify GPA and full time enrollment.


Preferred Qualifications

Preferred Qualifications

Preference will be given to candidates with a strong interest in fluid mechanics and machine learning.

Experience in the following would be highly advantageous:

  • courses in fluid mechanics and machine learning;
  • UNIX computational environments: Python, R, or similar languages;
  • Tensorflow, scikit-learn, Caffe, or other machine learning framework.


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.


EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

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About National Renewable Energy Laboratory

At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.