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Subject: MS and PhD assistantships University of Maine
From: James Wilson (jwilson@maine.edu)
Date: Thu Nov 05 2009 - 15:10:20 CET
Please circulate these announcements for two graduate student research
assistantships at the School of Marine Sciences at the University of
Maine, USA. Thank you, James Wilson
覧覧覧--Masters覧覧覧覧覧-
The School of Marine Sciences at the University of Maine is seeking a
to enroll a student as early as May or June 2010 in the dual masters
degree in marine science and policy. The student will study and work
on a strongly interdisciplinary research project funded by the Coupled
Natural and Human Systems program within NSF. A competitive stipend,
tuition, health and student fees will be provided for three years.
The project combines the work of social, biological and computer
scientists and will develop agent-based learning models meant to
simulate the fine scale dynamics of social and natural systems in
three fisheries in the Gulf of Maine.
We seek a student with training in the social sciences and knowledge
of marine biology or ecology. The student must be research oriented
and enthusiastic about working and learning in a multidisciplinary
team. The student will participate in a set of research tasks that
will include in-depth interviews and focus groups with fishermen and
the translation of conceptual models into computational models.
Training in computer science will be considered a plus.
Contact James Wilson, jwilson@maine.edu. and see http://www.umaine.edu/marine/programs/dual.php
覧覧覧覧猶h.D.覧覧覧覧
The School of Marine Sciences at the University of Maine is seeking to
enroll a Ph.D. student as early as May or June 2010 with a strong
masters level or applied background in computer science, ecology or
the social sciences and an interest in applying those skills to an
integrated social-ecological study of the Gulf of Maine fisheries.
Stipend, tuition, health and other fees will be funded for three years
by a grant from the NSF Coupled Natural and Human Systems program.
The student will be engaged in the design and implementation of a
multi-agent learning classifier system and will work closely with
economists, ecologists, anthropologists and computer scientists. The
ideal candidate痴 skill set would include knowledge and experience in
the design and implementation of programs using object based
programming languages, JAVA or C++, knowledge of evolutionary
computational approaches and of statistics (using R), as well as
experience designing and implementing Agent Based computational models
using ABM platforms such as Repast.
Contact James Wilson, jwilson@maine.edu.