ORISE Fellowship with US E.P.A: Corvallis, OR

Agency

ORISE c/o US E.P.A.

Location

Corvallis, OR

Job Category

Post Doctoral Appointments

Salary

https://orise.orau.gov/epa/applicants/default.html#faq-appointment

Start Date

12/01/2022

Last Date to Apply

01/19/2023

Website

https://www.zintellect.com/Opportunity/Details/EPA-ORD-CPHEA-PESD-2022-07

Description

A full-time EPA fellowship (post-doc or post-masters) that is now available through the Oak Ridge Institute for Science and Education (ORISE), located at EPA’s Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division (PESD) in Corvallis, Oregon. https://www.zintellect.com/Opportunity/Details/EPA-ORD-CPHEA-PESD-2022-07

PESD researchers, in collaboration with EPA’s National Center for Environmental Economics and EPA’s Office of Water, are seeking to improve the way EPA values freshwater ecosystems. A critical component of improving the valuation of aquatic resources will include modeling the distributions of aquatic taxa, such as stream macroinvertebrates and lake plankton, to characterize the biological status of freshwaters nationally. This research project will seek to develop models that can spatially predict the distributions of several taxonomic groups within streams and lakes across the conterminous US based on several thousand sample sites from EPA’s National Aquatic Resource Surveys and StreamCat and LakeCat datasets. These models could include individual- or multi-taxon niche models with various statistical or machine learning techniques, as well as evaluation of model accuracy. Later phases of the project could focus on developing methods to test the effects of management scenarios on aquatic assemblages, such as through structural equation models.

Qualifications

The qualified candidate should have received a master’s or doctoral (preferred) degree in one of the relevant fields (e.g. Aquatic Ecology, Watershed Science), or be currently pursuing one of the degrees with completion before 12/31/22. Degree must have been within five years of the appointment start date.

Preferred skills:
– Strong background in spatial analysis and multivariate statistical analysis of ecological communities.
– Experience in watershed or statistical modeling and spatial analyses at broad spatial scales and use of aquatic monitoring data and GIS analyses is strongly preferred.
– Strong background in aquatic ecology and landscape analysis of aquatic systems.
– Experience with ArcGIS, R statistical software, statistical analyses (e.g., regression, multivariate statistics, structural equation modeling), machine learning approaches (e.g., random forest), and large national datasets preferred, along with experience with working with watershed data and the National Hydrography Dataset Plus Version 2.
– Exceptional communication skills, including writing skills, verbal skills, and public speaking experience.
– Demonstrated skills working as a part of a group.

Contact Person

Ryan Hill ([email protected])

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