INTERN: Non-Academic Research Internships for Graduate Students (NSF 17-091)

Have you ever thought that our nation’s satellites could be put to better use than watching you drink your fifth cup of coffee as you prepare for final exams? If so, then this is a project that you would enjoy. The hydrologic community is at a pivotal moment in the application of remote sensing into everyday decision making and we need you.

An opportunity to work with models of multivariate environmental and ecological processes from either a mathematical/statistical or scientific focus. The former would focus on elaborating current methods for making inferences or predictions from multivariate data while the latter would focus on using those current methods to better understand multivariate environmental or ecological processes.

The topic of how climate change will exacerbate the impacts of invasive species is at the cutting edge of conservation biology and applied ecology. We are looking for someone to work with a group of researchers and natural resource managers under the paradigm of translational ecology, producing publications and designing research that will improve conservation outcomes on the ground

We are inviting you to participate in an exciting project that brings together citizen science data from iNaturalist and other online platforms to improve currently static biodiversity databases. This project will ultimately identify invasive species, taxonomy changes, and potential climate migrants that will aid conservation efforts on public lands.

Augment existing near real-time earthquake-triggered landslide and liquefaction hazard models with products such as landslide dam likelihood, road network disturbances, and disruption to ports. Investigate methods for improving and/or rapidly updating models such as remote sensing data, historical fill maps, and social media and news reports.

Seeking an energized intern to work with us to advance the science of wetland-water quality interactions in watersheds. Come and be a part of our interdisciplinary team to push science forward while learning about careers in the USGS. You can add your research capabilities and perspectives to our existing umbrella of studies and also learn new approaches, measurements, and modeling techniques.

Collaborate with developers of the state-of-the-art, open-source, community-code PyLith to add new features and use them to model complex earthquake or volcanic processes. This is your opportunity to expand your software development, numerical modeling, and geoscience skills while furthering your research and contributing to the broader community!

In an unprecedented large-scale mortality event, Florida has lost >90% of many coral species. This event is unusual due to its expansive spatial extent, the number of affected species (at least 21 scleractinian coral species), and severity of losses (> 95% for Dendrogyra cylindrus), effectively eliminating some species from the tract.

How can our national streamgage network evolve to meet changing demands in the coming fifty years? This is an opportunity to explore the varied uses of the U.S. Geological Survey’s National Streamgage Network and understand how it can be used to support water management across the country and how it can be more effectively designed.

As urban development continues to expand, the ecosystem services provided by the urban landscape will be increasingly important to human well-being. Join our interdisciplinary team to help us quantify the water quality services provided by urban stormwater management practices such as rain gardens, infiltration trenches, and detention ponds.

Much of this research is centered on animal or human-associated pathogens, the antimicrobial resistance potential of those pathogens, and the influence of these pathogens on recreational water quality, drinking-water quality, and water quality in agricultural and urban watersheds.

The goal of the project supported by the internship is to evaluate mineral assemblages in drill hole core collected from Yellowstone National Park using spectral methods, determine subsurface structures using electromagnetic methods, and to evaluate the distribution of rare earth elements and other trace metals associated with minerals using scanning electron microscopy and electron microprobe.