Post-doc or Ph.D. student: machine learning applied to multi-agent social-ecological systems

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. 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.” The duration of the appointment will be two and one-half to three years, with a start time of June 1, 2010 if possible. If you are interested contact James Wilson, Professor of Marine Sciences and Economics, University of Maine, [email protected] Please send along a brief summary of your background and interests and a cv.


This is a companion discussion topic for the original entry at https://www.comses.net/jobs/37/