A postdoctoral position is available at the University of Texas at Austin in
the Department of Integrative Biology to work with Dr. Kathrine Behrman and
collaborate with Dr. Thomas Juenger’s Lab at the University of Texas and
model developers at the USDA-ARS and NRCS in Temple, TX.  This multi-scale
modeling position is part of a Department of Energy funded grant to address
the sustainability of switchgrass production across continental-scale
environmental gradients.  The candidate will work as part of an
interdisciplinary team of researchers analyzing the whole-plant physiology,
ecosystem services, microbial ecology, evolution, genetics, genomics, and
modeling.  One of the primary objectives of the grant is to incorporating
genetic variation and local adaptation into process oriented models of plant
growth and ecosystem functioning (i.e. EPIC, APEX, ALMANAC, DSSTAT,
DAYCENT).  Furthermore, the candidate will have the flexibility to work with
many different data types to incorporate plant-microbiome-soil interactions
into models of ecosystem processes, analyze the potential limits to niche
evolution, predict crop phenotypes in response to environmental change,
identify gene-by-environment interactions, etc. 

The position requires a PhD in Ecology, Evolution, Genetics, Plant Biology,
Statistics, or a related field. The ideal candidate will have experience
with process based modeling, population/landscape genomics, statistics, and
computer programing.  The candidate should be interested in landscape
ecology, agronomy, molecular biology, and physiology. Excellent oral and
written communication skills are required with a strong publication record. 

Please email applications to [email protected] with the subject
“Postdoctoral Application”.  Applications should include a cover letter
detailing experience and research interests, CV, and contact information for
three professional references. The position is funded for two years, with
possibility of refunding. Start date is flexible with the option to start as
soon as Fall 2015.

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