[JOB OPP] Summer RA position at Bryn Mawr College (fwd)

Date: Sun, 20 Mar 2011 17:56:24 -0400 (EDT)
From: Lisa Meeden 
To: job-opps@cs.swarthmore.edu
Subject: [JOB OPP] Summer RA position at Bryn Mawr College (fwd)
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   Research Experiences in Mathematics and Computer Science, Summer 2011


DEADLINE TO APPLY:  MONDAY, MARCH 28, 2011

Spend ten weeks of your summer working on exciting projects in artificial
intelligence and machine learning at Bryn Mawr College!  We have an opening for an
undergraduate or graduate research assistant to work on a grant-sponsored research
project on social network analysis / relational learning during Summer 2011.  The
participant will join a research team with several other students, Professor
Eaton, and one postdoctoral researcher (Dr. Gutstein) to carry out a detailed
program of research toward scholarly publications.  Students will present the
final results of their research during the final week of the program at Bryn Mawr
College, and (if appropriate) at their home institutions and/or other academic
venues, such as research conferences.

All undergraduates who are beginning their junior or senior year in Fall 2011 or
who will graduate during the Spring 2011 semester, and all graduate students are
elligible to apply.  To be considered, you should have a background in either
computer science, mathematics, physics, or statistics and have strong grades in
your major. Although it is not required, it would be beneficial if you have taken
and done well in at least one course related to artificial intelligence, machine
learning, robotics, statistics, or topology.  A description of the project is
included below:

Networks occur in many different applications, including social networks,
corporate organizations, chemical interactions, and biological regulatory
networks.  Relational networks represent the connections between entities as a
graph, providing an intutive and structured representation of this knowledge. 
Often, these networks contain natural communities of entities, such as groups of
friends or project teams, that is useful for analyzing the structure of the
network.  This project focuses on automatically identifying these natural
community structures in heterogeneous networks that contain more than one type of
entity (e.g., a graph of connections between individuals, corporations, and
locations).  We will then apply these natural community structures to learning and
dimensionality reduction (i.e., compression) in the graph.  This project builds on
concepts from topology and statistical physics.

On-campus housing and meals are available for student participants, along with a
variety of student summer activities.  Compensation for the summer is $4,500.  To
apply, send a brief letter of interest, your resume or curriculum vita, and a copy
of your transcript as a single PDF file to eeaton@cs.brynmawr.edu by the deadline
listed above. Please use "Summer 2011 RA Application" as the subject line. 
Questions can also be directed to that address. Your letter of interest should
include the following items:
  1. Your complete contact information, home institution, degree status, and summer
     availability.  If you are graduating this semester, please briefly mention
     your plans for after graduation.
  2. Why does this sponsored research project interest you?
  3. A brief statement of your goals for this summer research experience (i.e.,
     what do you want to get out of it) and your career goals.
  4. A brief statement of topics that interest you (include both broad topics as
     well as specific ones) that may be relevant to these projects.
  5. Complete contact information for at least two references from professors
     familiar with your work.
For more details, see http://cs.brynmawr.edu/~eeaton/openpositions.html#ra

Bryn Mawr College is an affirmative action/equal-opportunity employer. Minority
candidates and women are especially encouraged to apply.  Hiring is contingent
upon eligibility to work in the United States.  Bryn Mawr College is located in
the suburbs of Philadelphia and is convenient to major air and train
transportation hubs.




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