{"id":49697,"date":"2023-06-07T09:56:00","date_gmt":"2023-06-07T16:56:00","guid":{"rendered":"https:\/\/sites.evergreen.edu\/mesweekly\/?p=49697"},"modified":"2023-06-05T09:56:27","modified_gmt":"2023-06-05T16:56:27","slug":"fellowship-usfs-landscape-ecology-internship-at-the-pacific-northwest-research-station-u-s-department-of-agriculture-wenatchee-wa","status":"publish","type":"post","link":"https:\/\/sites.evergreen.edu\/mesweekly\/fellowship-usfs-landscape-ecology-internship-at-the-pacific-northwest-research-station-u-s-department-of-agriculture-wenatchee-wa\/","title":{"rendered":"Fellowship: USFS Landscape Ecology Internship at the Pacific Northwest Research Station, U.S. Department of Agriculture (Wenatchee, WA)"},"content":{"rendered":"\n<p><!--more--><\/p>\n<p><strong>Job Type:<\/strong> Paid Internship<br \/><strong>Salary Details:<\/strong> TBD<br \/><strong>Deadline:<\/strong> Jun 23, 2023<br \/><em>*Applications will be reviewed on a rolling-basis.<\/em><\/p>\n<p><strong><u>USFS\u00a0Office\/Lab and Location<\/u>:\u00a0<\/strong>A fellowship opportunity is available\u00a0with the US\u00a0Department of Agriculture (USDA)\u00a0Forest Service (USFS) at the Pacific Northwest\u00a0Research Station (PNWRS)\u00a0located in Wenatchee, Washington.\u00a0<\/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><\/strong>:\u00a0This appointment\u00a0will be filled through the ORISE recent graduates fellowship program. The successful candidate will conduct research\u00a0on a dynamic research team investigating landscape level changes and future trajectories of western US forest ecosystems. This appointment\u00a0is well suited for those who have expertise and interest in forest landscape models, fire ecology, landscape ecology, carbon dynamics, climate effects, and decision support modeling. The appointment\u00a0is located at the USDA Forest Service Research Lab in Wenatchee, Washington (<a href=\"http:\/\/wenatchee.org\/\">http:\/\/wenatchee.org\/<\/a>), and will be co-mentored by Dr. Paul Hessburg (PNWRS), Dr. Nicholas Povak (PSWRS),\u00a0and Dr. Tucker Furniss (University of Wyoming).<\/p>\n<p>The appointment\u00a0provides modeling, coding, and database expertise in support of a complex, multi-model ecological forecasting workflow. The appointment\u00a0co-leads model development, calibration, and synthesis of the forest succession, fire severity, and climate change components of this workflow. The appointment\u00a0involves interfacing with collaborators at the Pacific Northwest National Lab to simulate snowpack and hydrology dynamics with landscape hydrology modeling software, and developing and implementing future management scenarios based on input from local tribes, community stakeholders, and land managers. The appointment\u00a0requires someone who can operate independently while participating in the collaborative culture of the team.\u00a0<\/p>\n<p><strong>Additional research activities include:<\/strong><\/p>\n<ul>\n<li>Gathers, analyzes, and interprets spatial ecological data. Performs quality assurance\/quality control assessments. Generates future landscape forecasts and interprets model performance. Calibrates models and develops model applications in new geographies. Develops proposals, writes internal progress reports, and publishes findings in the peer-reviewed literature.<\/li>\n<li>Incorporates ecological datasets into statistical modeling workflows including multivariate statistics, regression modeling, and machine learning for prediction, interpretation, and synthesis.<\/li>\n<li>Provides technical advice and expertise on related projects. Keeps updated with latest developments in the ecological literature, relevant modeling literature, computer technology, and landscape management challenges. Assists in developing workflow improvements via program development and scripting routines.<\/li>\n<\/ul>\n<p><strong><u>Learning Objectives<\/u>:\u00a0<\/strong>As a result of this training the participant will improve their skills in ecological simulation modeling, scenario planning, wildfire modeling,\u00a0landscape ecology,\u00a0decision support tools, and co-production with stakeholder groups.<\/p>\n<p><strong><u>Mentor<\/u>:\u00a0T<\/strong>he mentor(s) for this opportunity are\u00a0Dr. Paul Hessburg (<a href=\"mailto:phessburg@fs.fed.us\">phessburg@fs.fed.us<\/a>), Dr. Nicholas Povak (<a href=\"mailto:nicholas.povak@usda.gov\">nicholas.povak@usda.gov<\/a>), and Dr. Tucker Furniss.\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> As soon as a qualified candidate is identified;\u00a0start date is flexible (earlier or later).<\/p>\n<p><strong><u>Appointment Length<\/u>:\u00a0<\/strong>The appointment will initially be for\u00a0one year\u00a0but 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 full-time.<\/p>\n<p><strong><u>Participant Stipend<\/u>:\u00a0<\/strong>The participant will receive a monthly stipend commensurate with educational level and experience.<\/p>\n<p><strong><u>Citizenship Requirements<\/u>:<\/strong>\u00a0This opportunity is available to U.S. citizens only.<\/p>\n<p><strong><u>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<p><strong><u>Questions<\/u>:<\/strong>\u00a0Please 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\">USForestService@orise.orau.gov<\/a>\u00a0and include the reference code for this opportunity.<\/p>\n<p><strong><u>Funding Code<\/u>:<\/strong>\u00a0IAA 23-IA-11261925-032<\/p>\n<p><strong>Qualifications<br \/><\/strong>The qualified candidate should have received a master&#8217;s\u00a0or\u00a0doctoral\u00a0degree in one of the relevant fields (Forest Ecology, Landscape Ecology, Fire Ecology).\u00a0Degree must have been received within the past three\u00a0years.<\/p>\n<p><strong>Preferred Skills:<\/strong><\/p>\n<ul>\n<li>Experience with ecological modeling, spatial analysis and statistics, GIS software, R coding, and leading published research.<\/li>\n<li>Familiarity with forest landscape modeling software such as LANDIS-II is preferred, but not required.<\/li>\n<li>Self-motivated and with\u00a0a high capacity for writing, research communication, and publication.<\/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-2023-0154\" target=\"_blank\" rel=\"noopener\">https:\/\/www.zintellect.com\/Opportunity\/Details\/USDA-USFS-2023-0154<\/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],"tags":[4,3139,2388,953,299,5402,2740,2329,3977,1978,3084,215,1999,847,277,901,47,1457,404,292,431,38,794,300,5399,373,4540,2620,5401,281,4450,4975,1046,993,3733,1756,2804,5404,13,5403,875,172,2600,4561,558,2239,1077,746,498],"_links":{"self":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49697"}],"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=49697"}],"version-history":[{"count":1,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49697\/revisions"}],"predecessor-version":[{"id":49698,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/49697\/revisions\/49698"}],"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=49697"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/categories?post=49697"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/tags?post=49697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}