[Research] FW: Summer Internships at Yahoo

[Andrew W Moore]

-----Original Message-----
From: Dmitry Pavlov [mailto:pavlovd at ics.uci.edu] 
Sent: Tuesday, February 07, 2006 2:53 AM
To: awm at cs.cmu.edu
Subject: Summer Internships


Hello Professor Moore,

You may not remember me, we briefly met at the UAI conference a while 
back. I am a big fan of your work, particularly ADTrees. 

We are looking for qualified summer interns to work with us this summer.
If you know of anyone looking for the summer position please forward the
following message to them. Also, please feel free to distribute it
further,

Thanks much in advance
Dima

Summer Intern, Yahoo! Search Content Analysis Team

Location . Santa Clara, CA

Essential Responsibilities We are looking for a highly motivated PhD
student specializing in machine learning to help develop algorithms and
software systems for analyzing web content. You will be part of Yahoo's
content analysis team, an advanced development group responsible for web
scale document classification, clustering, attribute extraction and
matching applications that push the frontiers of text mining. The content
analysis team is focused on lexical, syntactic and semantic analysis of
text documents. As part of the team you will have access to Yahoo's
enormous amount of data including query logs, product description, and web
page index.

Qualified candidates should be proficient in C/C++ development, have a
solid knowledge of machine learning, data mining and information
retrieval. A hands-on experience with data clustering, classification,
regression, recommender systems, optimization, text mining, natural
language processing, analysis, pattern recognition is desired.

Required Qualifications/Education
.       Masters degree in Computer Science or a related field
.       Knowledge of at least one of the following: text mining, natural
language processing, information retrieval, statistical analysis, machine
learning.
.       Experience in: C/C++, Unix operating system and development tools,
scripting languages.
.       Understanding of algorithm efficiency issues.
.       Excellent communication and problem solving skills.

Keywords: data mining, machine learning, text mining, document
classification, document clustering, natural language processing,
regression analysis, support vector machine, neural network, decision
tree, collaborative filter, statistics, information retrieval

Please send your resumes to Dr. Dmitry Pavlov at dpavlov at yahoo-inc.com
with the subject line "Summer Internship 2006".