The online REU (O-REU) program at Texas A&M University is a fully remote research internship program for undergraduate students. The program has no residency requirement. The (summer 2024) term runs from May 22nd to Aug. 2nd, 2024. MSEN OREU Summer program flyer. Application instructions for future terms may be found here: https://engineering.tamu.edu/materials/undergraduate-research/online-undergraduate-research.html
O-REU features
- Individualized mentorship of students by faculty from Texas A&M University and technical staff members from National Laboratories and Industry
- Online technical training in computation, simulation/modeling, machine learning, and other topics
- Community events, including technical presentations by students, an online seminar series, virtual lab tours and more
- Preparation for post-graduate activities, especially for applying to graduate programs
We are grateful to all of our sponsors:
- National Science Foundation
- REU Site: Multifunctional Materials, funded under award no. 1852535
- Multi-Information Source Value of Information Based Design of Multiphase Structural Materials, funded under award no. 1663130
- DMREF: Collaborative Research: Accelerated Development of Damage Tolerant and Oxidation Resistant Alumina-Forming MAX Phases, funded under award no. 1729350
- CC* Team: SWEETER — SouthWest Expertise in Expanding, Training, Education and Research, funded under award no. 1925764
- Center for Research Excellence on Dynamically Deformed Solids (CREDDS)
- Funded by the Department of Energy, National Nuclear Security Administration, under Award No. DE-NA0003857
- Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Nuclear Security Administration
- NASA University Leadership Initiative at Texas A&M University
- Los Alamos National Laboratory
- Sandia National Laboratory
- Texas A&M National Laboratories Office
- Texas A&M Institute for Data Science
- Texas A&M High Performance Research Computing Center
- Texas A&M Laboratory for Molecular Simulation