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Job Type:<\/strong> Student \/ postdoc USFS\u00a0Office\/Lab and Location<\/u>:<\/strong>\u00a0A\u00a0postdoctoral research fellowship is\u00a0available at the US Department of Agriculture (USDA) Forest Service (USFS), Pacific Southwest Research Station to collaborate\u00a0with partners at the University of Texas at Austin and Simon Fraser University. The appointment\u00a0is in Davis, California, and there is an opportunity to participate\u00a0remotely. The fellowship will begin in Summer 2023 with a flexible weekly\u00a0schedule and will continue through September 2024 with the potential for an extension contingent on funding.\u00a0<\/p>\n At the heart of the U.S. Forest Service’s mission is their purpose. Everything they do is intended to help sustain forests and grasslands for present and future generations. Why? Because their stewardship work supports nature in sustaining life. This is the purpose that drives the agency\u2019s mission and motivates their work across the agency. It\u2019s been there from the agency\u2019s very beginning, and it still drives them. To advance the mission and serve their purpose, the U.S. Forest Service balances the short and long-term needs of people and nature by: working in collaboration with communities and our partners; providing access to resources and experiences that promote economic, ecological, and social vitality; connecting people to the land and one another; and delivering world-class science, technology and land management.<\/p>\n Research Project<\/u>:<\/strong>\u00a0We are seeking a qualified candidate to collaborate with\u00a0the USDA Forest Service and partners to investigate subsurface drivers of watershed response to drought. We seek a fellow with interests in\u00a0coupling observational insights from intensively monitored study catchments with remote sensing, hydrological modeling, and\/or machine learning methods to upscale process understanding to large watersheds. Diverse backgrounds will be considered, but candidates with Python programming, remote sensing, hydrological modeling, and\/or machine learning experience will be given preference. For additional topical context, interested candidates can review recently published manuscripts from this funded project:\u00a0<\/p>\n https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2022GL100505<\/a><\/p>\n https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/abs\/10.1029\/2021WR031781<\/a><\/p>\n https:\/\/www.nature.com\/articles\/s41586-021-03761-3<\/a><\/u><\/p>\n Learning Objectives<\/u>:<\/strong>\u00a0As a result of this appointment, the participant will improve their skills in physical and theoretical hydrology, field data collection, analysis of remote sensing data, and data processing and analysis for Earth systems data.\u00a0<\/p>\n Mentor<\/u>:\u00a0<\/strong>The mentor for this opportunity\u00a0is\u00a0David Dralle (david.dralle@usda.gov<\/a>).\u00a0If you have questions about the nature of the research,\u00a0please contact the mentor.<\/p>\n Anticipated Appointment Start Dat<\/strong>e<\/u>: August 1,\u00a02023.\u00a0\u00a0Start date is flexible and will\u00a0depend on a variety of\u00a0factors.<\/p>\n Appointment Length<\/u>:\u00a0T<\/strong>he appointment will initially be for\u00a0fourteen months but may be\u00a0extended\u00a0upon\u00a0recommendation of\u00a0USFS\u00a0and is contingent on the availability of funds.<\/p>\n Level of Participation<\/u>:<\/strong>\u00a0The appointment is full-time.<\/p>\n Participant Stipend<\/u>:<\/strong>\u00a0The participant will receive a monthly\u00a0stipend\u00a0commensurate with educational level and experience.\u00a0The current stipend for this opportunity\u00a0is $5,500 to $6,500 per month.\u00a0<\/p>\n Citizenship Requirements<\/u><\/strong>:\u00a0This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the\u00a0Guidelines for Non-U.S. Citizens Details<\/a>\u00a0page of the program website for information about the valid immigration statuses that are acceptable for program participation.<\/p>\n ORISE Information<\/u>:<\/strong>\u00a0This 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 USFS.\u00a0Participants do not become employees of USDA, USFS, DOE or the program administrator, and there are no employment-related benefits.\u00a0Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.<\/p>\n Questions<\/u><\/strong>:\u00a0Please visit our\u00a0Program Website<\/a>. After reading, if you have additional questions about the application process please email\u00a0USForestService@orise.orau.gov<\/a>\u00a0and include the reference code for this opportunity.<\/p>\n Qualifications<\/strong><\/p>\n The qualified candidate should have received a doctoral degree in one of the relevant fields or be currently pursuing the degree with completion before the appointment start date.<\/p>\n Preferred Skills:<\/strong><\/p>\n
Salary Details:<\/strong> The current stipend for this opportunity is $5,500 to $6,500 per month.
Deadline:<\/strong> Aug 18, 2023<\/p>\n