Post-doc or Ph.D. student: machine learning applied to multi-agent social-ecological
systems
We are looking for a post-doc or Ph.D. student interested in the application of machine
learning, specifically learning classifier systems, to multi-agent social-ecological systems.
Experience with the design and implementation of machine learning and/or multi-agent
systems and some knowledge of economics, anthropology or marine ecology is desirable
but not necessary. The post-doc or Ph.D. student will work on a project funded by the
Dynamics of Coupled Natural and Human Systems Program within NSF. The duration of the
appointment will be two and one-half to three years, with a start time of June 1, 2010 if
possible. For additional information about the project see the website of the Coupled Natural
and Human Systems program in NSF and/or read “Wilson, Yan and Wilson. 2007. The
precursors of governance in the Maine lobster fishery. Proceedings of the National Academy
of Sciences USA 104:15212-15217.” If you are interested please contact James Wilson,
Professor of Marine Sciences and Economics, University of Maine, [log in to unmask] Send
along a brief summary of your background and interests and a cv.
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