EPA Fellowship on Spatial Modeling of Ecological Assemblages in US Waterways
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An application
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Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted. All transcripts must be in English or include an official English translation. Click here for detailed information about acceptable transcripts.
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A current resume/CV, including academic history, employment history, relevant experiences, and publication list
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Two educational or professional recommendations. Click here for detailed information about recommendations.
*Applications may be reviewed on a rolling-basis and this posting could close before the deadline. Click here for information about the selection process.
EPA Office/Lab and Location: A research opportunity is available at the United States Environmental Protection Agency (EPA), Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD) located in Corvallis, Oregon.
- Assembling NARS and StreamCat/LakeCat data for model development and application;
- Using GIS to develop new spatial predictors of aquatic condition;
- Developing quality assurance and model evaluation approaches for predicting/mapping aquatic condition;
- Collaborating with researchers examining the economics of biological condition and willingness to pay for incremental improvements in biological condition;
- Collaborating on related national mapping activities;
- Conducting scientific synthesis, data analysis, manuscript preparation, literature searches, and presentations to technical and non-technical audiences.
Mentor(s): The mentor for this opportunity is Ryan Hill (hill.ryan@epa.gov). If you have questions about the nature of the research please contact the mentor(s).
Anticipated Appointment Start Date: December 1, 2022. All start dates are flexible and vary depending on numerous factors. Click here for detailed information about start dates.
Appointment Length: The appointment will initially may be for one year and may be renewed upon EPA recommendation and subject to availability of funding.
Level of Participation: The appointment is full-time.
Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. Click here for detailed information about full-time stipends.
EPA Security Clearance: Completion of a successful background investigation by the Office of Personnel Management (OPM) is required for an applicant to be on-boarded at EPA.
ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and EPA. Participants do not become employees of EPA, DOE or the program administrator, and there are no employment-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.
ORISE offers all ORISE EPA graduate students and Postdocs a free 5 year membership to the National Postdoctoral Association (NPA).
The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including but not limited to, COVID-19 requirements (e.g. facial covering, physical distancing, testing, vaccination).
Questions: Please see the FAQ section of our website. After reading, if you have additional questions about the application process please email ORISE.EPA.ORD@orau.org and include the reference code for this opportunity.
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 December 31, 2022. Degree must have been received within five years of the appointment start date.
- 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.
- Citizenship: U.S. Citizen Only
- Degree: Master's Degree or Doctoral Degree received within the last 60 months or anticipated to be received by 12/31/2022 11:59:00 PM.
- Discipline(s):
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