[Corpora-List] Postdoc position at Carnegie Mellon University: NLP for usable privacy

[Noah A Smith]

The School of Computer Science at Carnegie Mellon University has a post-doc
opening to work on a new, interdisciplinary project aimed at
semi-automatically extracting relevant privacy policy features on a
large-scale through a combination of natural language processing,
crowdsourcing and machine learning.  Project website:
http://usableprivacy.org ; press release from the NSF:
http://www.nsf.gov/news/news_summ.jsp?cntn_id=128679&org=NSF&from=news

This opening is for a postdoc who will help develop, validate and deploy
methods, techniques and tools for large-scale, semi-automated text analysis
of privacy policies. The objective is to extract key privacy policy
features for presentation to end-users in a structured and easily
understandable format.  We seek an individual with expertise in natural
language processing, machine learning, and crowdsourcing methodologies who
is interested in usable privacy.

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

Initial appointments will be for one or two years with option of renewal
for an additional one or two years. The start date is negotiable with a
preference for early Fall 2013. Carnegie Mellon offers competitive salaries
and benefits.

Questions should be directed to Prof. Noah Smith (nasmith at cs.cmu.edu) and
Prof. Norman Sadeh (sadeh at cs.cmu.edu).

To be considered for this position, interested candidates should forward
their resume along with the names of three references to:

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