25.3604, Jobs: Computational Linguistics: Researcher, Carnegie Mellon University

Sat Sep 13 18:05:07 UTC 2014

LINGUIST List: Vol-25-3604. Sat Sep 13 2014. ISSN: 1069 - 4875.

Subject: 25.3604, Jobs: Computational Linguistics: Researcher, Carnegie Mellon University

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Date: Sat, 13 Sep 2014 14:04:55
From: Nubhia Nishad [nnishad at andrew.cmu.edu]
Subject: Computational Linguistics: Researcher, Carnegie Mellon University, Pennsylvania, USA

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University or Organization: Carnegie Mellon University 
Job Location: Pennsylvania, USA 
Web Address: https://cmu.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=101065
Job Title: Digital Humanities Specialist at Dietrich College, Carnegie Mellon
Job Rank: Researcher

Specialty Areas: Computational Linguistics 

Description:

The Dietrich College of Humanities and Social Sciences at Carnegie Mellon
University, with funding from a grant from the A.W. Mellon Foundation in the
Digital Humanities, is seeking applicants for a Research Staff position in the
digital humanities. In particular, we are looking for applicants with skills
and experience in one or more of the following areas: natural language
processing, data mining of large textual corpora, machine learning approaches
to analyzing large textual collections, social network analysis, geographical
information systems, statistical analysis, especially in high dimensional
spaces, and user interface design, especially visual analytics.

This position will lay a foundation for supporting research by humanities
Ph.D. students and faculty in digital humanities. The primary function will be
(1) to consult with Ph.D. students and faculty in the humanities in applying
automated text processing, statistical data analysis, and machine learning
techniques to research questions in the humanities and (2) to educate Ph.D.
students and faculty in acquiring analysis skills through the development and
delivery of targeted workshops and/or courses. Activities will also include
the evaluation and recommendation of existing tools and techniques, with the
possibility of some development/extension and implementation of algorithms and
models. Additional job functions include assisting Ph.D. students and faculty
in trouble-shooting problems with tools and publishing papers.
This position is grant funded for a duration of 4 years with the possibility
of further extension. The position will report to the Dean of the Dietrich
College of Humanities and Social Sciences.

The Dietrich College comprises four humanities departments: English, History,
Philosophy, and Modern Languages. Other departments in the College are
Psychology, Social & Decision Sciences, Information Systems, and Statistics.
Relevant departments in other Carnegie Mellon colleges include the
Human-Computer Interaction Institute, the Language Technologies Institute, and
the School of Design. Courtesy affiliation of the person who fills the
position with appropriate units, either inside or outside the Dietrich College
is possible.

Education Desired: M.A. or Ph.D. in a humanities field, with demonstrated
knowledge of computer science and statistics; or M.S. or Ph.D. in Computer
Science, Information-Library Science, Statistics, or related fields with
demonstrated knowledge of humanities.

Additional qualifications: Strong programming skills and knowledge of major
programming languages and tools used in digital humanities. Strong
communication (verbal and written) skills, leadership skills, and teamwork
skills. Willingness to work with others outside immediate area of
specialization.

Send resume and cover letter electronically to the application website below.
The search committee will review applications by October 1, 2014 and will
continue to accept applications after that on a rolling basis until the
position is filled. 

Carnegie Mellon University is an Equal Opportunity/Affirmative Action Employer
- M/F/Disability/Veteran.

Application Deadline: 01-Oct-2014 (Open until filled)

Web Address for Applications: https://cmu.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=101065 
Contact Information:
	Nubhia Nishad 
	Email: nnishad at andrew.cmu.edu 

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