Postdoc Fellowship on “Modeling non-perennial streamflow variability at watershed scales”
We are excited to announce a new postdoc fellowship opportunity available via the Oak Ridge Institute of Science & Education (ORISE) and located at the US EPA’s Office of Research and Development in Cincinnati, Ohio.
Applications for the postdoc fellowship on “Modeling non-perennial streamflow variability at watershed scales” will be reviewed on a rolling basis .
Further details and additional application information are located at this link (https://www.zintellect.com/Opportunity/Details/EPA-ORD-CEMM-WECD-2021-10) and below. Only US citizens may be considered at this time.
The EPA’s Office of Research and Development (ORD) in association with the Oak Ridge Institute for Science and Education (ORISE) announces a postdoctoral research opportunity collaborating with a team of EPA/ORD research scientists to characterize the spatial and temporal variability of non-perennial headwater streamflow across multiple physiographic settings in the U.S.
The extensive headwater stream and interacting riparian network plays an integral part in maintaining clean and plentiful water for aquatic ecosystems and human beneficial uses. Yet modeling non-perennial streamflow throughout the network is difficult, as variable factors including precipitation, physiography and contributing area change in time and space. Concurrently, stream gage data to calibrate and verify model response for non-perennial headwater streams is often limited. Recent advancements in remote sensors, data processing capacities, and statistical approaches are bridging past technological barriers to improve simulations of surface water flows. The improved model outputs advance the underlying scientific understanding of hydrology as well as aquatic resource management by providing a baseline for characterizing the magnitude, duration, frequency, and timing of stream drying across local, state, and regional-scale watersheds. The focus of this research project is to apply watershed hydrological modeling approaches, in coordination with remotely sensed data (e.g., satellite, airborne), to improve surface flow estimates across non-perennial headwater stream networks. A primary goal of the research is improved lateral and longitudinal characterization of stream drying in low-order stream systems. The research project will initially concentrate on selected watersheds within the conterminous United States where remotely sensed validation data are available.
The research participant may be involved with the following activities:
Applying and modifying process-based watershed models (e.g., dynamic TOPMODEL) to answer key research questions
Analyzing and interpreting model outputs in the context of current literature
Developing research manuscripts and presentations at professional society conferences
Collaborating with research scientists in other federal agencies and academia
Developing new research questions and directions related to the project’s goals