28.5026, Jobs: Computational Linguistics: Post Doc, Carnegie Mellon University

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LINGUIST List: Vol-28-5026. Thu Nov 30 2017. ISSN: 1069 - 4875.

Subject: 28.5026, Jobs: Computational Linguistics: Post Doc, Carnegie Mellon University

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Date: Thu, 30 Nov 2017 13:46:13
From: Linda Moreci [laf20 at cs.cmu.edu]
Subject: Computational Linguistics: Post Doc, Carnegie Mellon University, Pennsylvania, USA

 
University or Organization: Carnegie Mellon University 
Department: ISR - School of Computer Science
Job Location: Pennsylvania, USA 
Web Address: https://usableprivacy.org/
Job Title: Post-doctoral Fellow
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Machine Learning, Interest in legal documents, Privacy

Required Language(s): English (eng)

Description:

The School of Computer Science at Carnegie Mellon University has a
post-doctoral opening to work on the Usable Privacy Policy Project
(https://usableprivacy.org). This is a large interdisciplinary project aimed
at helping people understand key elements of privacy policies. The project
includes work on natural language processing and machine learning techniques
to automatically extract statements from the text of privacy policies. It also
involves the research of new user interfaces to selectively and effectively
convey key elements of privacy policies to end users. This is an NSF Frontier
project funded under the Secure and Trustworthy Computing (SaTC) program. The
CMU PIs are on this project are Profs. Norman Sadeh (lead PI), Alessandro
Acquisti, Travis Breaux, and Lorrie Cranor.

The successful candidate will have a PhD in computer science or a related area
and have a background in either machine learning and natural language
processing or in user modeling and user-centered design – or both. Preference
will be given to candidates who have done research in usable privacy and
security. Prior exposure to good software engineering practices and some web
application development would each also be a plus. 

Candidates are expected to be capable of working under limited supervision, be
well organized and have strong communication skills. They are also expected to
have experience collaborating with others in the context of large-scale
research projects. Actual work is expected to involve a mix of conceptual
design, prototyping, and empirical evaluations (including human subject
experiments). The successful candidate is expected to publish papers in
top-tier conferences and journals along with other faculty and students. 

Initial appointments will be for one year with option of renewal for an
additional one or two years. The start date is negotiable with a preference
for people who can start by May 2018 or earlier. Carnegie Mellon offers
competitive salaries and benefits. To be considered for this position,
interested candidates should forward their resume along with the names of 3
references to:

Ms. Linda Moreci
ISR – School of Computer Science
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 - USA
Tel: +1-412-268-9934
Email: laf20 at cs.cmu.edu

For more information about the project, see http://www.usableprivacy.org and
http://explore.usableprivacy.org See also the NSF press release announcing the
selection of our project. 

Review of job applications will start on January 3, 2018 and will continue
until the position is filled.



Application Deadline:  (Open until filled)
	  
Email Address for Applications: laf20 at cs.cmu.edu 
Contact Information:
	Professor Norman Sadeh 
	Email: laf20 at cs.cmu.edu 


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