26.4784, Jobs: Computational Linguistics; Data Science: Rank Open, University of Rochester

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LINGUIST List: Vol-26-4784. Wed Oct 28 2015. ISSN: 1069 - 4875.

Subject: 26.4784, Jobs: Computational Linguistics; Data Science: Rank Open, University of Rochester

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Date: Wed, 28 Oct 2015 11:50:26
From: Michelle Vogl [michelle.vogl at rochester.edu]
Subject: Computational Linguistics; Data Science: Rank Open, University of Rochester, New York, USA

 
University or Organization: University of Rochester 
Job Location: New York, USA 
Web Address: https://www.rochester.edu/data-science/jobs.html
Job Title: All-Level Positions in Interdisciplinary Research in Comp Ling & Data Science
Job Rank: Rank Open

Specialty Areas: Computational Linguistics; Data Science


Description:

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 tenure track positions 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 one of the areas (Art & Art History, Biomedical Engineering, Brain & Cognitive Sciences, Computer & Electrical Engineering, Computer Science, Digital Media Studies, English, History, Linguistics, Political Science, and the School of Medicine & Dentistry) supporting the search.  

Focus areas for this year’s interdisciplinary searches 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 website below.

You may apply to this interdisciplinary search in addition to applying to individual departmental searches. Direct questions to Michelle Vogl (email 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 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 positions are filled. For full consideration, applications should be completed by January 15th, 2016.

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


Application Deadline: 15-Jan-2016 (Open until filled)
	  
Web Address for Applications: https://www.rochester.edu/faculty-recruiting 
Contact Information:
	Michelle Vogl 
	Email: michelle.vogl at rochester.edu 


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