The Sevilleta Long-Term Ecological Research program
<https://sevlter.unm.edu/> (SEV-LTER) invites applications for a
postdoctoral scholar to conduct research on the spatial dynamics of
ecotones through synthesis of ecological theory, long-term observations,
and climate manipulation experiments. A key aim of the SEV-LTER program is
to understand how changes in climate mean and variance will drive
reorganization of foundation plant species and shifts in the boundaries
between ecosystems of this dryland region. Over the past century, the
climate of our central New Mexico study region has become drier, on
average, but also more variable from year-to-year, and these trends are
expected to continue under global climate change. The postdoctoral scholar
will lead the development and dissemination of data-driven models of
ecosystem transitions, leveraging SEV-LTER’s unique Mean-Variance
Experiment and accompanying 30+-year observational data sets.

The successful candidate will be based in Tom Miller’s quantitative ecology
lab at Rice University <https://miller-lab-ecology.weebly.com/> and will
collaborate with the multidisciplinary and multi-institution SEV LTER
research team <https://sevlter.unm.edu/people/>. The SEV LTER team included
~100 PhD scientists, 90 graduate students, and 70 undergraduates during the
past six years. The position will focus on data analysis, modeling, and
manuscript preparation, with additional opportunities to engage in
fieldwork with SEV-LTER, depending on interest. The ideal candidate will
have training and interests at the interface of experimental and
theoretical ecology, including strong quantitative, programming, and
statistical skills. We particularly value experience with hierarchical
Bayesian statistical modeling, data-driven demographic models (matrix or
integral projection models), and/or spatial population-dynamic models
(reaction-diffusion or integro-difference equations).

The position is funded for up to three years, conditional on satisfactory
progress. A PhD in Biology, Ecology and Evolutionary Biology, Environmental
Science, or related disciplines is required by the start date. The start
date is flexible. We welcome applications from current postdocs and current
PhD students who expect to defend in 2025. Starting salary: $56K/year.

To apply, send a CV and statement of interest (no more than one page) to
tom.mil...@rice.edu. For best consideration, apply before March 14, 2025.

Related publications:

Drees, T.H., Ochocki, B.M., Collins, S.L., and T.E.X. Miller. Demography
and dispersal at a grass-shrub ecotone: a spatial integral projection model
for woody plant encroachment. Ecological Monographs 93: e1574
https://doi.org/10.1002/ecm.1574

Rudgers, J; Luketich, A; Bacigalupa, M; Baur, L E.; Collins, S; Hall, K;
Hou, E; Litvak, M; Luo, Y; Miller, T.E.X.; Newsome, S; Pockman, W;
Richardson, A; Rinehart, A; Villatoro-Castañeda, M; Wainwright, B; Watson,
S; Yogi, P; Zhou, Y. Infrastructure to factorially manipulate the mean and
variance of precipitation in the field. Ecosphere 14: e4603
https://doi.org/10.1002/ecs2.4603

Miller Lab Compact: https://miller-lab-ecology.weebly.com/lab-compact.html

Rice University HR | Benefits:
https://knowledgecafe.rice.edu/benefits-overview

Rice Mission and Values: Mission and Values | Rice University

Rice University is an Equal Opportunity Employer committed to diversity at
all levels and considers for employment qualified applicants without regard
to race, color, religion, age, sex, sexual orientation, gender identity,
national or ethnic origin, genetic information, disability, or protected
veteran status.

Rice University is committed to ensuring Equal Employment Opportunity and
the full inclusion of all qualified persons in the workplace. This
commitment includes providing reasonable accommodations to persons with
disabilities. For applicants with disabilities who require a reasonable
accommodation for any part of the application or hiring process, please
contact Rice University’s Disability Resource Center at 713-348-5841 or
adar...@rice.edu for support.
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