Postdoc Position at Carnegie Mellon University
Privacy, Mobile Computing, and Internet of Things
August 24, 2015

Here's a PDF version of this position:
http://www.cs.cmu.edu/~jasonh/postdoc-cmu-privacy-2015.pdf

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Our team within the School of Computer Science at Carnegie
Mellon University invites applications for a postdoctoral
fellow position, to work at the intersection of privacy,
systems, mobile computing, and Internet of Things.

We are looking for a scientist to work on a research project
on developing new techniques for inferring the purpose of
sensitive data use by apps, and using these purposes in novel
ways to help end-users and developers prevent and detect
potential privacy problems. The work includes using a combination
of static analysis, dynamic analysis, text mining, and machine
learning techniques to accurately infer (or verify) the purpose
of sensitive data use by arbitrary apps; using crowdsourcing
techniques to create new privacy models that can be used to
accurately predict the acceptability of various app behaviors;
developing new user interfaces to help end-users specify privacy
preferences based on purposes; and offering developers new
kinds of tools to help simplify the task of ensuring that
sensitive data is used in proper ways. An overarching goal is
to evaluate our research on real users ‘in the wild’ which means
building scalable systems infrastructure to run user studies on
potentially tens of thousands of users.

This project is part of the DARPA Brandeis project, and the
postdoc will be supervised by Professors Jason Hong and Yuvraj
Agarwal. The postdoc duration will be for at least one year to
start and is renewable. Candidates are also encouraged to explore
research ideas beyond the project description. The position
provides significant opportunities for publications, real world
impact and professional development.

Ideal applicants will have a combination of technical skills and
organizational skills to help with management of the project.
Example skills include programming software systems, program
analysis, text processing, data mining, machine learning,
crowdsourcing, and designing and running user studies. We expect
the selected candidate to be self driven, motivated and excellent
at communication – both in writing and speaking.

An ideal start date will be Fall of 2015 or early 2016. To apply,
please send a cover letter, CV, and list of references in PDF
format to [log in to unmask] and [log in to unmask]
Additional material will be requested as needed.

Carnegie Mellon is an affirmative action/equal opportunity employer
and we invite and encourage applications from women and minorities.

-- 
Jason I. Hong                    Associate Professor
http://www.cs.cmu.edu/~jasonh    Human Computer Interaction Institute
http://cmuchimps.org             Carnegie Mellon University

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