Statistics

Earthquake early warning, live in California, aims to send user alerts before ground shaking arrives at their location. Work directly with a USGS team in implementing a ground-motion based early warning algorithm, and develop novel station-specific adjustment factors to improve the accuracy of ground-shaking estimates, a critical step in sending the most useful user alerts.

Where are invasive species likely to be introduced or become abundant? How should managers respond? On Hawaii and other Pacific Islands numerous invasive species have altered ecosystems, and new species continue to be introduced. Statistical analyses can characterize risk and inform response strategies.

Where are invasive species likely to be introduced or become abundant? How should managers respond? On Hawaii and other Pacific Islands numerous invasive species have altered ecosystems, and new species continue to be introduced. Statistical analyses can characterize risk and inform response strategies.

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.

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.

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.