27.4694, Jobs: Computational Linguistics: Rank Open, University of Rochester

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LINGUIST List: Vol-27-4694. Wed Nov 16 2016. ISSN: 1069 - 4875.

Subject: 27.4694, Jobs:  Computational Linguistics: Rank Open, University of Rochester

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Date: Wed, 16 Nov 2016 09:43:11
From: Diane Evans [diane.evans at rochester.edu]
Subject: Computational Linguistics: Rank Open, University of Rochester, New York, USA

 
University or Organization: University of Rochester 
Department: Goergen Institute for Data Science
Job Location: New York, USA 
Web Address: http://www.rochester.edu/data-science/
Job Title: Faculty Position in Interdisciplinary Research in Data Science
Job Rank: Rank Open

Specialty Areas: Computational Linguistics 


Description:

All-Level Tenure-Track Faculty Position in Interdisciplinary Research in Data
Science

The University of Rochester has made data science a centerpiece of its 5-year
strategic plan, committing new faculty lines, a new building, and the
establishment of the Goergen Institute for Data Science. We are seeking
applicants for a tenure track position in interdisciplinary research in data
science.

The interdisciplinary search focuses on candidates who will engage in
collaborative research that connects advances in computational models and
methods with the humanities, sciences, or medicine.  Successful candidates
will receive a primary appointment in a department within Arts, Sciences and
Engineering.

Focus areas for this year’s interdisciplinary search are:

- Computational Linguistics: Research in the theory or applications of natural
language processing, with a particular interest in applications to
linguistics, the social sciences, or the humanities.

- Neurally-inspired Computing:  Research in artificial neural networks,
including the fundamental theory of deep learning, practical applications to
tasks such as perception, or as a tool for modeling and understanding
biological neural networks.

- Computer Vision and Image Analysis: Research in the theory and applications
of computational methods of image or video understanding, with a particular
interest in applications to biomedicine or the humanities.

Apply online at the application URL below.

You may apply to this interdisciplinary search in addition to applying to
individual departmental searches. Direct questions to Diane Evans (see contact
information below). For more information about the Institute, visit
http://www.rochester.edu/data-science.

Applicants should hold a PhD and will be required to supply a CV, cover
letter, set of refereed scholarly publications, names of references, and
research and teaching statements. The application will ask applicants to
select a set of disciplines most relevant to their research area. Review of
applications at any rank will begin immediately and continue until the
position is filled. For full consideration, applications should be completed
by January 15, 2017.

The University of Rochester is a private, Tier I research institution located
in western New York State. It consistently ranks among the top 30
institutions, both public and private, in federal funding for research and
development. The university has made substantial investments in computing
infrastructure through the Center for Integrated Research Computing (CIRC) and
the Health Sciences Center for Computational Innovation (HSCCI). The
university includes the Eastman School of Music and the University of
Rochester Medical Center, a major medical school, research center, and
hospital system. The greater Rochester area is home to over a million people,
including 80,000 students who attend the 8 colleges and universities in the
region.

The University of Rochester, an Equal Opportunity Employer, has a strong
commitment to diversity and actively encourages applications from candidates
from groups underrepresented in higher education.

EOE Minorities/Females/Protected Veterans/Disabled



Application Deadline: 15-Jan-2017 
	  
Web Address for Applications: https://www.rochester.edu/faculty-recruiting 
Contact Information:
	Diane Evans 
	Email: diane.evans at rochester.edu 


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