REU Site: Artificial Intelligence in Modern Physics Research
Washington University·Saint Louis, MO·2026 cycle
Closed for cycleComputational/Data SciencePhysical Sciences✓ verified
The Department of Physics at Washington University in St. Louis is the proud host of a NSF-funded Research Experience for Undergraduates (REU) program, entitled: Artificial Intelligence in Modern Physics Research, led by Professors Alex Chen and Li Yang with support from various other faculty members and department personnel. This 10-week summer research program provides undergraduate students a mentored research experience in cutting-edge physics, combined with professional development and opportunities to network with faculty and peers. Participants gain hands-on research experience that builds skills essential for graduate study and scientific careers. Students apply machine learning and AI techniques to advanced physics research problems while working alongside world-class faculty and researchers. The program begins with a one-week PyTorch and machine learning bootcamp, followed by 9 weeks of mentored research. At the conclusion of the program, students have the opportunity to present their work at a research symposium. Please direct any questions to reu@physics.wustl.edu. The availability of positions in this opportunity is pending funding from NSF.
Machine learning, astrophysics, condensed matter physics
Students must be U.S. Citizens or U.S. Permanent Residents to receive funding from our National Science Foundation funded REU program. Students must be enrolled in a 2-year or a 4-year academic institution, and may not have graduated by Summer 2026. That is, participants must be continuing with their undergraduate education in Fall 2026, after the REU. Strong preference is given to students who have at least completed a one-year Calculus-based Introductory Physics sequence. Programming and/or experience with machine learning is good to have but not required. Students are expected to attend the entire program to receive the full benefit of all activities. Accommodation for arriving and departing up to 1 week early will be considered for students with a college academic calendar that requires them to depart early, and such requests should be made clearly at the time of application.
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