19.3789, Jobs: English & Natural Language Processing: Post Doc, U of Minnesota

Wed Dec 10 18:50:12 UTC 2008

LINGUIST List: Vol-19-3789. Wed Dec 10 2008. ISSN: 1068 - 4875.

Subject: 19.3789, Jobs: English & Natural Language Processing: Post Doc, U of Minnesota

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Date: 10-Dec-2008
From: Serguei Pakhomov < pakh0002 at umn.edu >
Subject: English & Natural Language Processing: Post Doc, University of Minnesota, USA


-------------------------Message 1 ---------------------------------- 
Date: Wed, 10 Dec 2008 13:45:56
From: Serguei Pakhomov [pakh0002 at umn.edu]
Subject: English & Natural Language Processing: Post Doc, University of Minnesota, USA

E-mail this message to a friend:

University or Organization: University of Minnesota 
Department: College of Pharmacy(TC); Computer Science(Duluth)
Job Location: Minnesota, USA 
Web Address: http://www.umn.edu

Job Rank: Post Doc  

Specialty Areas: Computational Linguistics; Natural Language Processing

Required Language(s): English (eng)


The University of Minnesota Department of Pharmaceutical Care and Health
Systems (Twin Cities) and the Computer Science Department (Duluth) invite
applicants for a post-doctoral position in health informatics. This
position will support a project that will focus on developing measures of
semantic relatedness among biomedical concepts and applying these measures
for medication safety surveillance. The University of Minnesota has a
strong emphasis on Biomedical and Health Informatics. The successful
applicant for this position will join a dynamic and rapidly growing group
of investigators with a broad spectrum of expertise including informatics,
computer science, pharmacy, medicine, public health, linguistics and
cognitive science. 

The successful candidate will have a doctorate degree in computer science,
computational linguistics, information science, health informatics or a
closely related discipline. The candidate will also have a strong
programming background (Java, C++ and/or Perl) as the work will involve
software development and evaluation including database management and
web-based technologies. 

Preference will be given to candidates with strong backgrounds in natural
language processing and machine learning and those that have demonstrated
experience in working with measuring semantic similarity and ontological
and terminological resources such as WordNet, UMLS, SNOMED-CT. Familiarity
with building software applications for distributed multi-processor
platforms is also a plus.

Interested individuals should submit a letter of intent, a curriculum
vitae, and contact information for three references to : Dr. Serguei
Pakhomov (pakh0002 at umn.edu) and Dr. Ted Pedersen (tpederse at d.umn.edu)

Application review process will begin on February 1, 2009. This is a one
year appointment, which can be renewed for up to three years.

Application Deadline: 02-Feb-2009 
Email Address for Applications: pakh0002 at umn.edu 
Contact Information:
	Dr. Serguei Pakhomov 
	Email: pakh0002 at umn.edu 

LINGUIST List: Vol-19-3789	


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