GEO

This opportunity focuses on integration of geophysical modeling with constraints on alteration mineralogy from spectral measurements on drill core and hyperspectral remote sensing data.

Earthquakes, such as the 2011 M5.7 Prague, Oklahoma, and recent northern Texas M4 event, demonstrate the need for improved understanding of site amplification and seismic hazards in the central United States. The intern will be trained by USGS scientists to use the state-of-the-art site investigation methods at seismic station sites in California before applying the methods in Oklahoma and Texas.

This study will examine centennial- to millennial-scale North Pacific hydroclimate variability over the late-glacial and Holocene from Alaskan peatlands using cellulose extraction from peatland plants. Hydroclimate analysis will be coupled with vegetation and carbon dynamics to better understand how peatlands respond to long-term climate variability.

The advent of national geophysical initiatives (e.g. EarthScope, AusLamp, SinoProbe) has started the race to develop regional- and national-scale geophysical models. In parallel, the need for such models is on the rise within the natural-hazard and resource sectors. This internship focuses on development of three-dimensional electrical resistivity models derived from magnetotelluric (MT) data.

Decision makers, water use stakeholders, and the public at large need intuitive visualizations of the status and trends in water use in order to make wise management decisions. How can we best turn newly available details on water use in the US into geospatial information that can be easily understood, without biasing that information. Help us create maps that make our water use data come alive.

Much unsaturated-zone water moves not as typically slow diffuse flow, but rapidly through preferential flow channels such as root holes and fractures. Impacts are profound and far-reaching for issues such as contaminant transport, ecohydrology, and aquifer recharge. Understanding is limited and accepted theory is lacking, making preferential flow a crucial and exciting area of earth science.

The goal of this project is to contribute to our understanding of anelastic path attenuation in ground-motion prediction equations (GMPEs) by searching for correlations between seismic attenuation models constrained by 3D geophysical observations and \ ground motion measurements at individual stations.

Are you interested in communicating the value of science and technology? Are you excited about the use of Earth observations to help solve society's most pressing problems? If so, then come work with the USGS to advance the use of land imaging satellite observations with key stakeholders!

Northern New England is a fascinating landscape of conifers, unique wildlife, mountainous landscapes, and warming climates. Help us better understand whether red squirrel populations are responding to climate change and predict how that will impact the vulnerable boreal birds that they prey upon.

This interagency (USGS, FEMA, USACE) pilot project is a unique opportunity to investigate how to operationalize crowdsourcing and open innovation for emergency management through the standardization of data and tools. Help design a playbook, and organize workshops and hackathons with key innovators and open data experts across the government.

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.