We have an immediate vacancy for up to two postdoctoral fellows (PDFs) to work
on NSF-funded projects studying space-time dynamics in stable isotope ecology
(ITCE: Inter-university Training for Continental-scale Ecology; and ORIGIN:
Origin Inference from Geospatial Isotope Networks). These positions will be
based at the University of Utah and overseen by a team of collaborators from
University of Utah, University of Colorado Denver, University of Florida,
Purdue University, and University of Southampton.
Project 1 will extend existing models to explore how stable H and O isotope
signatures of consumers reflect animal behavior, physiology, and isotope
dynamics in terrestrial or marine environments. Working with the project
members, the PDF will couple temporally explicit isoscape models, agent based
models of animal movement, and physiological biogeochemical models to explore
isotopic consequences of specified traits. Model predictions will be tested
against existing and new data for model systems expressing contrasting traits.
Project goals include advancing understanding of controls on the isotopic
composition of consumers, isotopic variation within and among individuals, and
interpretation of stable isotope data in diet and movement-focused applications.
Project 2 will focus on the development of creative approaches and analytical
tools for the interpretation of stable isotope data as indicators of geographic
provenance (e.g., in studies of migration ecology, historic biogeography,
paleoecology, archaeology, and forensics). The PDF will work with the project
team to propose and test new approaches to the analysis and interpretation of
isotopic markers in geographic provenance research, leveraging data from a
range of natural systems. As a component of the project the PDF will create and
distribute an R-based package of tools that implement the analysis frameworks
developed and couple them with a spatially indexed isotope database (IsoMAP)
and other publically available spatiotemporal datasets. The envisioned toolset
will be of broad use in geographic provenance studies and establish
cross-community standards for such applications.
Applicants should have working knowledge of stable isotope ecology, physiology,
and/or biogeography, strong quantitative skills, and programming experience in
R or similar scientific programming environments; previous experience with
developing and maintaining code packages for CRAN is desirable. Although
support is available for up to 2 PDFs to work in the project areas defined
above, it is possible for an individual applicant to contribute to both areas
depending on their interest and skills.
To apply submit curriculum vitae, a letter summarizing interest in one or more
of the positions and career aims, and names and contact information for three
references to Gabe Bowen (gabe.bo...@utah.edu<mailto:gabe.bo...@utah.edu>). The
project team will begin reviewing applications on October 1st and continue to
accept applications until the positions are filled.