The EPP/MSI Undergraduate Scholarship provides funds for two years of undergraduate study to rising junior undergraduate students majoring in Science, Technology, Engineering and Mathematics (STEM) fields that directly support NOAA's mission. Participants conduct research at a NOAA facility during two paid summer internships. Since 2001, over 186 students have completed the program and over 75% go on to graduate school.
Students attending Minority Serving Institutions as defined by the US Department of Education (Hispanic Serving Institutions, Historically Black Colleges and Universities, Tribal Colleges and Universities, Alaskan-Native Serving Institutions, and Native Hawaiian Serving Institutions) are eligible to apply for the program.
Important update: Starting in 2019, U.S. nationals are eligible to apply for the EPP/MSI Undergraduate Scholarship Program.
Due to the COVID-19 pandemic, internships and planned events, such as scholar orientation and the scholar symposium, may be held virtually. The Office of Education will review precautionary guidelines provided by the CDC in advance of events and internships, and will notify scholars when a decision is made whether to hold them virtually or in person.
To learn more about the opportunity, visit NOAA's EPP/MSI Undergraduate Scholarship Program page or view the video from NOAA CCME below.
Dr. Erin E. Easton, a former CCME doctoral fellow, is now an assistant professor at the University of Texas Rio Grande Valley (UTRGV) in the School of Earth, Environmental, and Marine Sciences, where she is establishing a Benthic Ecology and Evolution Lab (eastonbenthos.org) to explore the biodiversity and evolution of marine benthos (fauna that live in, on, or in association with the seafloor) from the coast to the deep sea. Research in the Easton Benthic Ecology and Evolution Lab focuses on the study of epibenthic megafauna on hard-bottom habitats and meiofauna of soft-bottom habitats. To study these benthic communities, they use a variety of tools to conduct biodiversity surveys, to explore biogeographic and community assemblage patterns, to identify potential drivers of these patterns, and to understand the phylogenetic and evolutionary relationships of select taxa. Of particular interest are the benthic communities of mesophotic and deep-sea habitats in the South Pacific and Gulf of Mexico.
She obtained her BS in Biology from Indiana University (Bloomington) in 2002 and her MS and PhD in Oceanography from Florida State University in 2009 and 2014, respectively. She completed a three-year postdoctoral fellowship with the Ecology and Sustainable Management of Oceanic Islands in Coquimbo, Chile, where she studied the benthic communities the seamounts and oceanic islands, including Rapa Nui (known as Easter Island), of the southeast Pacific. In 2017, she joined CCME as a postdoctoral fellow at UTRGV. During this fellowship, she focused on the mesophotic coral ecosystems of the Gulf of Mexico in collaboration with Dr. David Hicks. This research included genetic studies on the octocorals of these reefs in collaboration with Dr. Peter Etnoyer and Thomas Greig of NOAA National Center for Coastal Ocean Science in Charleston, South Carolina.
Edith Gonzalez, University of Texas Rio Grande Valley, Marine Biology
Javier Navarro, University of Texas Rio Grande Valley, Environmental & Marine Sciences
Queriah Simpson, Florida A&M University, Environmental Science
Alexandra Thomsen, California State University Monterey Bay, Environmental Science, Technology, and Policy, CSUMB
Shan Guruvadoo was a Master's student at Bethune-Cookman University who graduated in May of 2019. As of May 2020, he has accepted a position as a Data Scientist at Channel Logistics, LLC dba Space-Eyes. Read more below about his position.
"My internship with NOAA Tides & Currents made me a good candidate for the position, and I enjoyed being in the CCME program during my time at Bethune-Cookman.
My job as a Data Scientist is to integrate machine learning into product features, such as ship detection within satellite imagery and anomaly detection in vessel traffic patterns. I build neural networks for deep learning, and support team members on development of the data pipeline."
With guidance from NOAA CCME faculty and the use of the NOAA Restoration Atlas tool selected student participants will: