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Applications Open for NCSA’s Summer REU Program

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REU FoDOMMaT students, mentors and program administrators standing in front of NCSA’s plaque celebrating the creation of Mosaic. Photo credit: Priyam Mazumdar, REU graduate research mentor

REU FoDoMMaT students, mentors and program administrators standing in front of NCSA’s plaque celebrating the creation of Mosaic. Photo credit: Priyam Mazumdar, REU graduate research mentor

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The National Center for Supercomputing Applications is once again hosting a Research Experience for Undergraduates (REU) program, funded by the U.S. National Science Foundation (NSF), this summer on the campus of the University of Illinois Urbana-Champaign (UIUC).

The Future of Discovery: Training Students to Build and Apply Open Source Machine Learning Models and Tools, otherwise known as FoDOMMaT, is NCSA’s annual summer program available to undergraduate students nationwide to study, train and work full-time on cutting-edge machine-learning projects while developing open-source models and tools to solve real-world problems. This year’s program will run from May 20 through July 26.

Students can apply for the 10-week, paid research opportunity through NCSA’s REU webpage. Applications are due March 17 and will be reviewed on a rolling basis.

“We have selected seven challenging and innovative projects with mentors across several departments and campus colleges for students to apply their skills,” said Volodymyr Kindratenko, principal investigator of the NSF grant that funds this REU program at NCSA. “These projects represent some of the most interesting work taking place on campus with the development and application of machine learning (ML) and artificial intelligence (AI) models for science and engineering. We are looking forward to students’ contributions.”

REU students touring the facilities.

Successful applicants will be provided room and board, round-trip travel to the UIUC campus and a weekly $600 stipend while working up to 40 hours per week with NCSA staff and their fellow FoDOMMaT students. Full details and eligibility requirements can be found here.

NCSA welcomes applicants from populations historically underrepresented in STEM, including those from minority-serving institutions such as Historically Black Colleges and Universities (HBCUs), Tribal Colleges and Universities (TCUs), and non-R1 institutions and community colleges.

“We look to bring in motivated students from historically underrepresented groups who also have strong interest in machine learning and artificial intelligence as well as some prior experience in programming and statistics,” said Olena Kindratenko, program coordinator for FoDOMMaT.

“Students will be involved in scientific research under the guidance of pairs of faculty mentors: one focused on ML/AI and one on an application. We hope students will be inspired to pursue industrial research careers or graduate studies in machine learning after participating in this program.”

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