CRC Graduate Award

CRC Graduate Award for Computational Science and Visualization

The Center for Research Computing (CRC) Award recognizes outstanding contributions in the areas of computational sciences and visualization. Such contributions may include, but are not limited to:

  • Applications of high performance computation and/or visualization technology
  • Development of algorithms, codes, software environments, or other tools for better using high performance computing and/or visualization

Up to three awards may be presented each year. Awardees will receive a $1,000 USD cash award and a plaque.


This award is open to all current Notre Dame students seeking advanced degrees and recent graduates. The use of CRC hardware or software is not required for the nominated work.


Applications for 2024 will open beginning March 1, 2024.

The due date for all nominations is March 31, 2024 at 11:59 p.m. Eastern.

Nomination Procedure

Faculty members must submit the following three PDF documents for student award nomination:

  1. A current CV from the student (in PDF format) listing the student's overall accomplishments
    • Refereed and non-refereed publications should be identified in the curricula vitae. Please do not include copies of publications.
  2. A research statement* from the student (max two pages, in PDF format) describing the research's objectives, methods, facilities, and results
    • This document should be self-contained and may include appropriate figures or visualizations.
    • The quality and clarity of the writing are critical to award selection. The research statement should state the research objectives, the specific computational methods used, the nature and scale of the computational facilities employed, and the results' significance. The nomination documents should consider a general academic audience, not specialists in one field. If acronyms or jargon specific to the field are employed, they should be clearly and carefully defined.
  3. A nomination letter from the student's graduate research advisor (max two pages, in PDF format) describing the student's work's objectives, methods, and significance

Apply here

Previous Awardees