NSF REU at UTRGV
The University of Texas Rio Grande Valley REU Program on Applied Mathematics and Computational and Data Science
The School of Mathematics and Statistical Sciences (SMSS) at The University of Texas Rio Grande Valley (UTRGV) is excited to announce applications for a nine-week undergraduate research experience: The NSF Research Experiences for Undergraduates (REU) site at The University of Texas Rio Grande Valley, starting in Summer 2022.
We encourage applications from women and underrepresented groups in Mathematics.
Applicants need to be undergraduate students, US citizens or permanent residents of the United States by NSF regulations. They must also be full-time students pursuing a major in the mathematical or statistical sciences in Fall 2022. These requirements are not flexible due to NSF rules.
Students will work collaboratively on group research projects in applied mathematics, mathematical modeling, and computational and data science, including applying theoretical models to physical and biological phenomena. In the application the student should choose one of the two possible research topics:
- Wave phenomena and mathematical modeling.
Mentors: Dr. Erwin Suazo and Dr. Josef Sifuentes.
- Mathematical modeling of spatial processes and deep spatial learning.
Mentors: Dr. Tamer Oraby and Dr. Hansapani Rodrigo.
Review of applications will begin on April 1, 2022, but late applications may be considered until April 15.
The program will run from June 13 to August 12, 2022. Selected students will receive
- a stipend of $5,400;
- accommodations (free dorm);
- $1000 for travel expenses, which are incurred in the roundtrip travel to the REU or to present the research work at a conference; and
- $900 for meal allowance.
For more information send an email to erwin.suazo@utrgv.edu . Before submitting your application please prepare:
1) a CV/Resume,
2) an (un)official transcript,
3) an essay of 300-500 words describing your research and educational interests and professional plans, and
4) one recommendation letter by a faculty member at your university/college.
Submit Your Student Application
Faculty: You have the option to nominate your students by clicking this link. We will consider nominated students as strong candidates. We will invite them to apply.
