The U. S. National Marine Fisheries Service, Northwest Fisheries
     Science Center, FRAM Division has recently advertised three positions
     as part of the center's efforts on a Cumulative Risk Initiative for
     Salmon.  These positions are located in Seattle, Washington or
     Newport, Oregon.  Each of the positions are listed below with their
     corresponding announcement number and opening and closing dates.
     Additionally, there is a brief statement of duties for each of the
     positions.  The full position announcements and application procedures
     are available at the NOAA jobs page on the Web at:

        http://www.usajobs.opm.gov/a9noaa.htm

     or you may contact the personnel office at

        NOAA, WASC, WC24
        7600 Sand Point Way NE
        Seattle, WA 98115-0070
        (206) 526-6294
        (206) 526-6673 FAX
        (206) 526-6105 TDD

     (Please do not contact me--I have no application materials.)

        --Tom Wainwright, NOAA/NMFS/FRAM
        [log in to unmask]

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     Statistician (biology) or Operations Research Analyst or Fishery
     Biologist  (GS 12/13)

     Announcement W/NMF/990233.EB
     Opening 3/17/99
     Closing 4/13/99
     Newport, OR, or Seattle, WA

     The incumbent will be a member of a team involved with building a
     decision support framework for Pacific salmon.  The focus of this
     position will be on the development of spatially-explicit population
     models which use Bayesian or other advanced statistical methods to
     characterize uncertainty.  Linkage of population models to geographic
     information systems is expected.  The incumbent must have a high
     proficiency and substantial demonstrated skill in quantitative
     techniques, especially statistical analysis, modeling, and
     demonstrated expertise in applying these techniques to biological
     populations and ecological systems.  Familiarity with the principles
     of population dynamics, decision analysis, and geographic information
     systems as well as specific knowledge of Pacific salmon populations is
     highly desirable.  Additionally, (1) demonstrated skill in development
     of computer models for fish or wildlife populations; and (2) knowledge
     and understanding of procedures used to determine the appropriate
     statistical models to be used in analysis of complex data is required.


     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     Computer Specialist or Operation Research Analyst   (GS 12/13)

     Announcement W/NMF/990232.EB
     Opening 3/17/99
     Closing 3/30/99
     Seattle, WA

     The incumbent will be a member of a team involved with building a
     decision support framework for Pacific salmon.  The incumbent will have
     primary responsibility for the development of a computer-based
     implementation of a spatially-explicit (GIS) salmon decision support
     system.  Candidates must have substantial demonstrated skill in
     programming with object oriented languages (such as C++, Java, Eiffel,
     Python), in multiple operating systems (unix, windows, others), to
     create analysis and modeling tools that are accessible over the
     internet.  Familiarity with the principles of population dynamics, as
     well as specific knowledge of Pacific salmon populations, is highly
     desirable.    Additionally, demonstrated skill in development of
     computer models for fish or wildlife populations is required.


     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     Operations Research Analyst or Fishery Biologist  (GS 11/12).

     Announcement W/NMF/990219.EB
     Opening 3/12/99
     Closing 4/01/99
     Seattle, WA

     The incumbent will be a member of a team involved with development and
     implementation of a decision support system for Pacific salmon.  The
     incumbent will focus on analysis of salmon harvest and hatchery issues
     in Washington, particularly Puget Sound.  Activities may include:
     modeling of fishery and population dynamics, collection and analysis of
     fishery and environmental data, investigation of ecological
     interactions and relationships between environmental variables and
     salmon abundance and distribution, providing technical assistance for
     regional staff and interagency management entities.  The candidate must
     have substantial demonstrated skill in quantitative techniques,
     especially statistical analysis, modeling, and demonstrated expertise
     in applying these techniques to biological populations and ecological
     systems.  Familiarity with the principles of population dynamics,
     including genetics, as well as specific knowledge of Pacific salmon
     populations, is highly desirable.

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