USDA-ARS Semiarid Rainfall-Runoff Modeling Time Fellowship
Listed on 2026-06-18
-
Research/Development
Biology -
Science
Environmental Science, Biology
Organization
U.S. Department of Agriculture (USDA)
Reference CodeUSDA-ARS-PWA-
Final date to receive applications6/19/2026 3:00:00 PM Eastern Time Zone
Project OverviewThe USDA-ARS Southwest Watershed Research Center in Tucson, Arizona develops knowledge and technology for sound management of water, plants, and soil in semiarid regions. The core outdoor laboratory is the Walnut Gulch Experimental Watershed, a 150 km² research site around Tombstone, Arizona, and additional small experimental watersheds on the Santa Rita Experimental Range. Long‑term hydrologic datasets are used to understand rainfall‑runoff relationships and to test how changes in plant community and land cover affect those relationships, using Landsat imagery from 1986 to the present.
LearningObjectives
Under the guidance of a mentor, the participant will learn all aspects of rainfall‑runoff dataset collection and quality control, compare rainfall‑runoff relationships through time for individual storms, and parameterize a detailed physically‑based simulation model (Kineros2) to best fit observed runoff measurements. The goal is to assess how varying precipitation gauge locations, digital elevation model resolution, soils (SSURGO/STATSGO), and land‑use/cover characteristics influence model input and processes.
MentorPhilip Heilman (phil.heilman)
AppointmentAnticipated start date:
June 1, 2026 (flexible). The appointment is full‑time, initially one year with possible renewal contingent on funding.
$60,000 – $63,000 annually, commensurate with educational level and experience.
CitizenshipOpen to U.S. citizens only.
ORISE ProgramParticipants are not employees of USDA, ARS, DOE, or the program administrator. No employment‑related benefits are provided. Proof of health insurance is required; health insurance can be obtained through ORISE.
Eligibility & Qualifications- Master's degree in a relevant field received within the past two years.
- Discipline:
Environmental and Marine Sciences, Hydrologic Sciences, and Natural Resources. - U.S. citizenship.
- Hands‑on experience with hydrologic data collection, particularly in the Southwest.
- Programming in Python.
- GIS tools proficiency.
Janeen
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).