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SIMSOC  November 2009

SIMSOC November 2009

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Subject:

Pre-doctoral and MS assistantships at Univ. of Maine

From:

James Wilson <[log in to unmask]>

Reply-To:

James Wilson <[log in to unmask]>

Date:

Wed, 4 Nov 2009 01:09:32 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (45 lines)

Please bring this to the attention of qualified students.  Thank you.  Jim 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, [log in to unmask] 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, [log in to unmask]

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