The Swenson Lab at the University of Maryland (http://www.swensonlab.com) is 
seeking to add a 
new Ph.D. student to begin in the fall of 2017. We are looking for a student 
interested in conducting 
highly interdisciplinary research working with concepts and techniques from 
forest ecology, 
transcriptomics, physiological ecology, and demographic modeling. Previous 
experience with 
quantitative analyses in ecology and/or genetics are preferred, but are not a 
requirement. A passion 
for and dedication to research are essential as is an integrative approach to 
tackling big problems. 
The researcher would be a part of a larger project in the Swenson Lab that 
recently received NSF 
funding, but the student would be encouraged and expected to develop novel 
avenues of 
investigation that can leverage the design, samples and data generated from the 
larger project. The 
student would also be expected to assist in field research at two study sites: 
Harvard Forest & the 
Smithsonian Environmental Research Center.

The lab is located in the Department of Biology (http://biology.umd.edu) at the 
University of Maryland 
with a Ph.D. student concentration in our Behavior, Ecology, Evolution and 
Systematics program 
(http://www.bisi.umd.edu/bees/). Existing collaborations with the Smithsonian, 
particularly with the 
Center for Tropical Forest Science (http://www.forestgeo.si.edu) and the 
Smithsonian Environmental 
Research Center (https://serc.si.edu), our proximity to the National Museum of 
Natural History 
(http://www.mnh.si.edu) and collaborative relationships with the National 
Socio-Environmental 
Synthesis Center (http://sesync.org) in Annapolis allow students in the lab to 
interact in a broader 
scientific community in the DC area.

If you are interested, please email Nate Swenson (swenson at umd dot edu) with 
a brief statement of 
your interests and research experience, GRE scores if available, GPA and list 
of biology, statistics, 
and/or mathematics courses taken. Students from under-represented groups in 
ecology and 
evolution are particularly encouraged to apply.

Reply via email to