The Data, Analysis and Visualization Group in the Computational Science Center (CSC) is seeking a full-time (40 hours per week) summer intern (graduate). The intern will work with staff scientists to deploy in situ visualization techniques in massively parallel simulation codes. The candidate will develop visualizations at scale using state-of-the-art high-performance parallel computing (HPC) and visualization facilities.
Interested candidates should have a solid background in scientific visualization, including a working understanding of HPC and computational fluid dynamics visualization techniques. The candidate should be willing to work in an interdisciplinary field, together with computer scientists, applied mathematicians, and engineers. The candidate will possess strong programming and algorithm developments skills and have programming experience in one or more HPC programming languages (i.e., Python, C++,…). In addition, the ideal candidate will have experience with ParaView Catalyst and VTK-m.
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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.
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Preferred Qualifications
Preference will be given to candidates with programming experience in large-scale parallel computing and human-computer interaction techniques. Experience in the visualization-driven analysis of energy resource and/or atmospheric science data would be highly advantageous.
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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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EEO Policy
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