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    Postdoctoral Researcher in Ecological Modeling and Global Change


    Melanie Colón
    • Employer: University of Connecticut
      Location: Storrs campus
      Country: United States
      Last Date to Apply: 06/01/2018
      Open Until Filled: Yes

    *Postdoctoral Researcher in Ecological Modeling and Global Change *

     

    *Job Summary*: The Department of Ecology & Evolutionary Biology at the
    University of Connecticut, in collaboration with UNC-Chapel Hill and
    Georgetown University, invites applications for a multi-year NSF-funded
    Postdoctoral Fellow to work on spatio-temporal patterns and ecological
    consequences of phenological mismatch across three trophic levels. Funded
    by NSF’s Macrosystems Biology program, the project seeks to quantify
    ecological patterns of phenological asynchrony between plants, Lepidoptera,
    and birds, and to explore demographic consequences of mismatch. The Fellow
    will join a highly collaborative and dynamic group of researchers across 8
    North American institutions. For further information, see http://bit.ly/2oJV5X1>.

     

    *Primary responsibilities* will include: building spatio-temporal models of
    phenological events across North America; using mark-recapture data in an
    integrated modeling framework to explore demographic responses to mismatch
    of phenophases; collaborating closely with climate, vegetation, and insect
    teams across multiple institutions; and assisting in curation of data
    products and associated bioinfomatic resources. All project data would be
    available to the postdoc to develop their own analyses for publication in
    peer-reviewed scientific journals in accordance with project goals. The
    postdoc would report to Dr. Morgan Tingley and would be hosted at the
    University of Connecticut in Storrs, CT.

     

    *Qualifications*: Candidates must have a Ph.D. in biology or a closely
    related field, experience in ecological models of occurrence, abundance,
    and mark-recapture, and expertise in statistical analyses using R. Preferred
    candidates will additionally have: experience with ecological “big dataâ€;
    advanced statistical and programming skills including the creation of R
    packages, and knowledge of python and SQL; demonstrated commitment to
    reproducible and open science; prior success in Team Science scenarios; and
    a strong track record of peer-reviewed publication.

     

    *Application Details*: This position is based at the Storrs campus of the
    University of Connecticut and includes competitive salary and health
    benefits. This is a full-time, 12-month, fixed-term position, with an
    initial 3-month probationary period. Reappointment is available for up to 3
    years, conditional on satisfactory performance. The position will begin on
    or after 1 June 2018. Interested candidates should send (1) an email
    describing their research interests and qualifications along with (2) a CV,
    (3) 1-2 representative publications, and (4) a list of 3 references to
    Morgan Tingley (morgan.tingley[AT]uconn.edu).

     


    ------------------------------

     

    *The University of Connecticut (UCONN) has been one of the nation’s leading
    public institutions since its founding in 1881. Located in Storrs, UConn’s
    main campus is situated in the picturesque rolling forests and fields
    quintessential of New England, yet is only 30 minutes from Hartford, and
    has close connections to Providence, Boston and New York. The Department of
    Ecology and Evolutionary Biology consists of over 30 faculty and 60
    graduate students with research spanning nearly all major groups of
    organisms. The Department maintains close ties with the Departments of
    Physiology and Neurobiology, Molecular and Cell Biology, Marine Sciences,
    and Natural Resources Management and Engineering, as well as the Center for
    Environmental Sciences and Engineering, which together comprise one of the
    largest groups of biologists in the Northeast. As an Affirmative
    Action/Equal Employment Opportunity employer, UConn encourages applications
    from women, veterans, people with disabilities and members of traditionally
    underrepresented populations.*

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