{"id":49706,"date":"2023-06-08T07:39:00","date_gmt":"2023-06-08T14:39:00","guid":{"rendered":"https:\/\/sites.evergreen.edu\/mesweekly\/?p=49706"},"modified":"2023-06-05T10:39:21","modified_gmt":"2023-06-05T17:39:21","slug":"fellowship-usfs-data-science-fellowship-to-understand-the-influence-of-wildfires-on-recreation-on-public-lands-u-s-department-of-agriculture-seattle-wa","status":"publish","type":"post","link":"https:\/\/sites.evergreen.edu\/mesweekly\/fellowship-usfs-data-science-fellowship-to-understand-the-influence-of-wildfires-on-recreation-on-public-lands-u-s-department-of-agriculture-seattle-wa\/","title":{"rendered":"Fellowship: USFS Data Science Fellowship to Understand the Influence of Wildfires on Recreation on Public Lands, U.S. Department of Agriculture (Seattle, WA)"},"content":{"rendered":"\n<p><!--more--><\/p>\n<p><strong>Job Type:<\/strong> The current stipend rate for this opportunity is $35\/hour.<br \/><strong>Salary Details:<\/strong> TBD<br \/><strong>Deadline:<\/strong> Jul 07, 2023<br \/><em>*Applications will be reviewed on a rolling-basis.<\/em><\/p>\n<p><strong><u>USFS\u00a0Office\/Lab and Location<\/u>:<\/strong>\u00a0A fellowship opportunity is available\u00a0with the US\u00a0Department of Agriculture (USDA)\u00a0Forest Service (USFS) within the Pacific Northwest Research Station located in Seattle, Washington.<\/p>\n<p>At the heart of the U.S. Forest Service&#8217;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<p><strong><u>Research Project<\/u>:\u00a0<\/strong>The participant will collaborate\u00a0with researchers on the U.S. Forest Service Pacific Northwest Research Station Landscape Uses and Values Team and University of Washington Outdoor R&amp;D. The goal of our joint research is to use remote and recreation user-generated data to better measure and understand outdoor recreation.\u00a0The participant will be involved in a project to quantify and characterize recreation use over large landscape areas in the U.S. West that have been prioritized for wildfire risk reduction.\u00a0Our data and findings will demonstrate how novel approaches to measuring and mapping recreation use can provide information on human values for prioritizing future wildfire management efforts. The participant will support this project by developing software and scripted workflows for ingesting, storing, processing, analyzing, and visualizing spatial data. The methods involve using and improving existing Python and R code, as well as developing new strategies to process data for use in the project.\u00a0<\/p>\n<p><strong><u>Learning Objectives<\/u>:<\/strong>\u00a0The participant will not only build data science and research skills, but also gain experience participating\u00a0with\u00a0actionable research that addresses a natural resource management need and relates to the human dimensions of natural resource management.<\/p>\n<p><strong><u>Mentor<\/u><\/strong>:\u00a0The mentor for this opportunity\u00a0is\u00a0Eric White (<a href=\"mailto:eric.m.white@usda.gov\" target=\"_blank\" rel=\"noopener\">eric.m.white@usda.gov<\/a>).\u00a0If you have questions about the nature of the research,\u00a0please contact the mentor.<\/p>\n<p><strong><u>Anticipated Appointment Start Date<\/u><\/strong>:\u00a02023.\u00a0\u00a0Start date is flexible and will\u00a0depend on a variety of\u00a0factors.<\/p>\n<p><strong><u>Appointment Length<\/u>:<\/strong>\u00a0The appointment will initially be for\u00a0three months but may be\u00a0extended\u00a0upon\u00a0recommendation of\u00a0USFS\u00a0and is contingent on the availability of funds.<\/p>\n<p><strong><u>Level of Participation<\/u>:\u00a0<\/strong>The appointment is part-time (15 hours per week).<\/p>\n<p><strong><u>Participant Stipend<\/u>:\u00a0<\/strong>The participant will receive a monthly\u00a0stipend\u00a0commensurate with educational level and experience. The current stipend rate for this opportunity is $35\/hour.<\/p>\n<p><u><strong>Citizenship Requirements<\/strong><\/u><strong>:\u00a0<\/strong>This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the\u00a0<a href=\"https:\/\/orise.orau.gov\/usfs\/applicants\/default.html\" target=\"_blank\" rel=\"noopener\">Guidelines 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<p><u><strong>ORISE Informatio<\/strong>n<\/u>:\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<p><strong><u>Questions<\/u>:\u00a0<\/strong>Please visit our\u00a0<a href=\"https:\/\/orise.orau.gov\/usfs\/\" target=\"_blank\" rel=\"noopener\">Program Website<\/a>. After reading, if you have additional questions about the application process please email\u00a0<a href=\"mailto:USForestService@orise.orau.gov\" target=\"_blank\" rel=\"noopener\">USForestService@orise.orau.gov<\/a>\u00a0and include the reference code for this opportunity.<\/p>\n<p><strong>Qualifications<br \/><\/strong>The qualified candidate should be currently pursuing or have\u00a0received a master&#8217;s or doctoral degree in one of the relevant fields. Degree must have been received within 5 years of the appointment start date.<\/p>\n<p><strong>Preferred Skills:<\/strong><\/p>\n<ul>\n<li>At least 2 years of experience programming R and\/or Python in an academic or professional setting.<\/li>\n<li>Demonstrated success working with large and varied sources of data, including geospatial data.<\/li>\n<li>Ability to troubleshoot, problem-solve, and work independently.<\/li>\n<li>Excellent organizational, teamwork, and communication skills.<\/li>\n<li>Demonstrated experience with a version control system, such as git.<\/li>\n<li>Interest in outdoor recreation, forestry, and\/or fire management.<\/li>\n<\/ul>\n<p class=\"job-frame__how-to-apply__title\"><span style=\"text-decoration: underline\"><strong>HOW TO APPLY<br \/><\/strong><\/span>Please apply at this link: <a href=\"https:\/\/www.zintellect.com\/Opportunity\/Details\/USDA-USFS-2023-0173\" target=\"_blank\" rel=\"noopener\">https:\/\/www.zintellect.com\/Opportunity\/Details\/USDA-USFS-2023-0173<\/a>.\u00a0<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":9909,"featured_media":34063,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_s2mail":"yes"},"categories":[163,18,26],"tags":[4,2737,2656,3977,1978,215,619,277,901,47,1448,404,292,794,5423,1996,349,4450,1300,1046,993,308,1186,2046,13,585,172,31,3059,224,2239,1940,4624],"_links":{"self":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49706"}],"collection":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/users\/9909"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/comments?post=49706"}],"version-history":[{"count":1,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49706\/revisions"}],"predecessor-version":[{"id":49707,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49706\/revisions\/49707"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/media\/34063"}],"wp:attachment":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/media?parent=49706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/categories?post=49706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/tags?post=49706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}