Deadline to Apply: March 1
A fully online NSF Research Experiences for Undergraduates (REU) opportunity that may be of strong interest to undergraduate students across all STEM disciplines.
REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering
Summer | Online | UMBC
Program Dates: June–July 2026
Stipend: $5,600 (arround)
Apply by: 03/01/2026
Program Info: https://BigDataREU.umbc.edu/
Summer 2026 Page: https://bigdatareu.umbc.edu/summer2026/
Program Highlights
This NSF‑funded REU program provides an 8‑week online research experience for undergraduate students nationwide. Participants receive training and mentorship in:
- High‑Performance Computing (HPC): MPI, SLURM, distributed-memory systems, CPU/GPU clusters
- Big Data & AI Tools: TensorFlow, Keras, PyTorch, Horovod
- Applied STEM Research Projects
Students will work in collaborative teams, each supported by a graduate assistant, and will produce a technical report and often a conference paper.
Why Apply?
- Fully online, enabling nationwide participation
- Excellent preparation for graduate school or research careers
- Hands-on experience in AI, machine learning, big data, and HPC
- Opportunities to publish and present research
- Generous $5,600 stipend
More Information
For questions, contact:
- Prof. Matthias Gobbert (Math & Stat) — gobbert@umbc.edu
- Prof. Jianwu Wang (Information Systems) — jianwu@umbc.edu