The Blue Waters Graduate Fellowship Program lets graduate students from across the country immerse themselves in a year of focused high-performance computing (HPC) and data-intensive research using the Blue Waters supercomputer to accelerate their research.
This unique program, funded by the National Science Foundation, is designed to support PhD students engaged in a program of study and research that is directly relevant to the use of Blue Waters as the fellowship provides up to 50,000 node-hours on the Blue Waters system.
Blue Waters is a truly extraordinary supercomputer used by researchers across the country to gain new understanding of how viruses attack our bodies, the formation of galaxies and of severe storms, space weather, sub-atomic physics, and other challenging topics. Blue Waters was designed to handle the most compute-intensive, memory-intensive, and data-intensive challenges in computational science and engineering.
Fellowship recipients will receive a stipend of $38,000 for the year-long fellowship. They will also receive up to a $12,000 tuition allowance. During the fellowship year, the fellow’s academic institution is asked to exempt the recipient of any other tuition and fee charges normally charged to students of comparable academic standing. Recipients will receive travel funds to attend the Blue Waters symposium.
Applications, including all supporting materials except reference letters, must be submitted no later than midnight PST on Feb. 3, 2016. Awards will be announced in spring 2016, with the tuition allowance applied to the 2016-2017 academic year. Preference will be given to candidates engaged in a multidisciplinary research project that combines disciplines such as computer science, applied mathematics, and computational science applications.
For complete information on the fellowships, visit this website. Profiles of the past fellowship recipients are also linked from that page. For questions contact bwgf@ncsa.illinois.edu.
For complete details of the Blue Waters system, visit this website.
