CISE

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.

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.

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.

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.

Work with quantitative spatial wildlife ecologists to identify best practices for sampling rare and threatened carnivores using cutting edge statistical techniques. The results will be useful for sampling carnivore populations across the world. You will be stationed in beautiful northwest Montana in Glacier National Park.

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.

Work with USGS scientists to apply high performance computing principles and techniques to solve national and international earth science challenges.

The need for better models and more effective use of data to characterize river corridor transport processes is keenly felt, from evaluating the effectiveness of river and watershed management practices all the way to clarifying regulatory authority under the Clean Water Act.