Postdoctoral fellowship en la Smithsonian Institution en USA

POSTDOCTORAL FELLOWSHIP, EVOLUTION OF TERRESTRIAL ECOSYSTEM (ETE)
PROGRAM, PALEOBIOLOGY DEPARTMENT, SMITHSONIAN INSTITUTION, NATIONAL
MUSEUM OF NATURAL HISTORY, WASHINGTON, D.C.

APPLICATION DEADLINE: MAY 15, 2014

Applications are invited for a two-year Postdoctoral Fellowship in
ecological community assembly and disassembly through time. This
appointment provides a stipend of $45 K/yr and may be renewable for a
second 2 years. The successful applicant will be expected to conduct
independent macroecological research as part of an NSF-funded Research
Coordination Network, "Synthesizing Deep Time and Recent Community
Ecology," which is investigating patterns and causal processes of animal
and plant community assembly and disassembly over geological time and up
to the present day. Duties will involve data management and analyses and
involvement in the scholarly activities of ETE, including workshops,
presentations at professional meetings, etc. In addition, the awardee
will be encourage to lead one or more group projects that align with
their interests.

General information about the ETE Program can be found at
http://www.mnh.si.edu/ete/ [1] and about the Paleobiology Department at
http://www.nmnh.si.edu/paleo//index.html [2]. More information about the
ETE - RCN can be found at
http://www.mnh.si.edu/ete/ETE_Research_RCN.html [3].

Priority will be given to applicants who use recent and/or fossil data
to understand factors affecting community structure in plants and/or
animals. Applicants should have good communication skills, a proven
record of research accomplishment, and knowledge of ecology,
paleoecology, macroecology, or a related field. Fluency in R
programming, expertise in modeling and spatial and temporal analyses,
and a record of working with large databases are highly desirable.
Knowledge of SQL is a plus. Applicants must have a PhD before starting
the fellowship.

To apply, send as a single pdf including: (1) cover letter describing
your interest in this post-doctoral position, relevant experience
including R coding examples, and preferred start date; 2) a brief
statement of research interests (3) curriculum vitae; (4) a pdf of
publication or other outlet where R code was used. In addition, please
arrange to have two letters of reference sent to Dr. Kate Lyons
(lyonss2@si.edu).