Graduate Research Fellowship in Computational and Data science

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Academic Level:
Graduate Students (Masters)
Graduate Students (PhD)

Description:
NSF IRES ASSURE (Algorithms & Software for SUpercomputers with emerging aRchitEctures) is an opportunity for graduate students, working with their U.S. advisors, to initiate year-long (9 months) research collaborations with computational groups at international supercomputing sites.

'Project sites include': Julich Supercomputing Center - Germany and Riken - Japan.

'Project areas include': computational biophysics, computational chemistry and machine learning in neurobiology.

Students have opportunities to build their domain-specific and computational skills and utilize unique HPC architectures. Many projects have potential to become long term collaborations.

The collaboration will be remote, with the possibility of a site visit this coming year, depending on the global health situation. Students commit a minimum of 20-25 hours of research time weekly during the academic year. A stipend of $1414 biweekly (pre-tax) and a health insurance allowance are provided.


Participating Institution(s):
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Program Materials:

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This program is funded by:
National Science Foundation (NSF)


Page last updated 3/10/2024
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