International Computational Research Experience for Graduate Students

International Computational Research Experience for Graduate Students

November 5th, 11:30AM to November 9th, 1:00PM

Interested in participating in large-scale computing research projects while exploring China? Apply to be considered for the NSF-funded US-China: Algorithms & Software for Supercomputers with Emerging Architectures (ASSURE) program. Research areas include: climate and weather systems, drug design, big data and machine learning.

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Event Categories:  Workshops

Important Dates:

  • Applications close: Jan 4, 2019
  • Program dates: June 3 - August 9, 2019

US Ph.D graduate students interested in gaining large scale computational and data science experience are invited to apply for the NSF-funded US-China International Research Experience which will focus on research that can benefit from China’s #1 Supercomputer. Students participating in the program live and work in China for 8-weeks. A stipend ($500 per week) is provided and round trip airfare to China, accommodation and meals are covered by the program.

Research areas include: Earth & Weather Systems, Advanced Manufacturing, Life Sciences, Drug Design and Big Data.

Who should apply?: PhD graduate students from a wide variety of fields, including STEM disciplines are invited to apply. Women and other underrepresented minorities are encouraged to apply. Applicants MUST be US citizens or permanent residents, must have completed the first year of their Ph.D. program and be in good academic standing (i.e. have the approval of their research advisor).

For more information and to apply visit: https://ires-assure.msu.edu/

Program Flyer

Informational sessions will be held:

  • Nov 5, 2018, Engineering Building, Sparty's Cafe. Stop by between 11:30am - 1pm
  • Nov 6, 2018 International Centre, near the Food Court. Stop by between 11:30am - 1pm
  • Nov 7, 2018 Geography Building, Room 105 from 12:00pm - 1pm
  • Nov 8, 2018 Biomedical & Physical Sciences Building, Sparty's Cafe. Stop by between 11:30am - 1pm

Can't attend an informational session? Send email inquiries to training@msu.edu.