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  • Applied Quantitative Landscape Ecologist - Mammals or Birds


    Melanie Colón
    • Employer: USGS at the AZCFWRU in the School of Natural Resources and the Environment, UA
      Location: Tucson, AZ
      Country: United States
      Last Date to Apply: 06/18/2020
      Open Until Filled: No

    Applied Quantitative Landscape Ecologist - Mammals or Birds

    Assistant Unit Leader -- US Geological Survey AZCFWRU

    Assistant Professor -- School of Natural Resources and the Environment, University of Arizona

     

    The U.S. Geological Survey (USGS) and University of Arizona (UA) wish to hire an Assistant Unit Leader in the Arizona Cooperative Fish and Wildlife Research Unit (AZCFWRU). This is a year around (12‐month) permanent Federal position with the USGS at the AZCFWRU in the School of Natural Resources and the Environment, UA (starting at the GS‐12 level). The Cooperative Fish and Wildlife Research Unit Program was established in 1935 to facilitate cooperation between the Department of the Interior, land grant universities, the Wildlife Management Institute, and state natural resource agencies to conduct research and graduate education related to ecosystems, and fish, wildlife, and their habitats that are of interest to the university and state and federal agencies. Unit scientists have full faculty appointments at UA. The UA, located in Tucson, provides world class research and teaching opportunities, and offers natural resource professionals close access to a wide variety of ecosystems including lowland deserts, riparian systems, grasslands, oak woodlands, chaparral, juniper-pinyon forests, spruce-fir forests, and mountain-top tundra.

     

    Responsibilities: The Assistant Unit Leader plans, conducts, and directs research and graduate training; develops an extramurally funded research program; fosters a productive relationship with the Arizona Game and Fish Department, UA, and federal natural resource agencies; prepares scientific reports for publication in peer-reviewed journals and for presentation to scientific and conservation organizations; acts as an advisor to graduate students; and teaches one graduate level course per year in the area of his/her expertise.

     

    Experience: Applicants should be experienced in the study of applied landscape ecology of mammals or birds as it applies to management of natural resources. Experience and strong interests in the quantitative aspects of applied landscape ecology and resource management are required, such as spatial modelling of ecological interactions, resources and habitats; population and community ecology and modeling; experimental and sampling design; computer intensive methods; and Bayesian and frequentist statistics. Skills could be applied toward determining the most effective corridors and options for species across landscapes, including urban interfaces, international boundaries, sky-island systems, and suitable habitat; or ability to model populations and future responses to threats in realistic, applied scenarios. Extensive field work in management situations with mammals or birds is also important. Ability to teach a graduate-level class on some aspect of applied statistics or to assist graduate students in research design and analysis is a plus. Landscape ecologists with interest in climate change, predator-prey dynamics, urbanization, invasive species, fire ecology are encouraged. Successful applicant must possess outstanding communication skills and a demonstrated ability to collaborate with a wide variety of people, from agency professionals, academics, students, and laypersons. Researchers who have worked for or who have collaborated extensively with state or federal natural resource agencies are especially encouraged to apply.

     

    The candidate’s area of expertise should complement existing strengths in the School of Natural Resources and the Environment that include, but are not limited to fisheries science, wildlife science, landscape ecology, remote sensing, natural resource management, population and community ecology, hydrology, riparian/watershed ecology and management, range management, population genetics, environmental assessment and monitoring, geographic information systems, community-based management, and invasion biology. We are interested in candidates who can prosper within a collaborative, interdisciplinary environment of physical, biological, and social scientists.

     

    Qualifications: Education:

    Ph.D. in wildlife science, fisheries science, ecology, natural resource statistics or other field related to the disciplines mentioned under responsibilities. Other: Publication and grant record commensurate with experience; demonstrated ability to develop a productive research program involving academic and agency collaborators; demonstrated ability to understand needs of state and federal cooperators; potential for excellence in mentoring graduate students and training future researchers and managers; and demonstrated willingness to provide technical assistance with wildlife management, experimental design and data analysis.

     

    The position is available for application electronically through USAJOBS until June 18, 2020. The DEU link is for the public. The MP link is for federal employees and other eligible groups listed in announcement.

     

    DEU - https://www.usajobs.gov/GetJob/ViewDetails/568595600

     

     

    MP - https://www.usajobs.gov/GetJob/ViewDetails/568595300

     

     

    Interested applicants with questions may contact Scott Bonar (sbonar@ag.arizona.edu).

    The Federal Government is an Equal Opportunity Employer

     

    Sincerely,

     

    John L. Koprowski, Professor and Director

    Wildlife Conservation and Management

    School of Natural Resources & the Environment

    ENR2 N333

    1064 E. Lowell Street

    PO Box 210137

    University of Arizona

    Tucson, AZ  85721  USA

     

    Email: squirrel@ag.arizona.edu

    Phone: +1 (520) 626-5895

    Web: www.ag.arizona.edu/research/redsquirrel

    Research Gate:  https://www.researchgate.net/profile/John Koprowski

     



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