[PET] Two Post-Doctoral Openings in Usable Privacy at Carnegie Mellon University

Norman Sadeh-Koniecpol sadeh at cs.cmu.edu
Tue Jan 24 18:27:20 GMT 2017


Opening 1:

Post-Doc Opening in Usable Privacy
School of Computer Science, Carnegie Mellon University

January 2017

The School of Computer Science at Carnegie Mellon University has a post-doctoral opening to work on an interdisciplinary project aimed at (1) semi-automatically extracting privacy policy annotations on a large-scale through a combination of natural language processing, crowdsourcing and machine learning, and (2) selectively presenting these annotations to users based on models of their privacy preferences and expectations. 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 user modeling and user-centered design. Preference will be given to candidates who have done research in usable privacy and security. Meaningful prior experience applying machine learning and/or natural language techniques, 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 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-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 2017. 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<mailto:laf20 at cs.cmu.edu>

For more information about the project, see www.usableprivacy.org<http://www.usableprivacy.org> and explore.usableprivacy.org See also the NSF press release<http://www.nsf.gov/news/news_summ.jsp?cntn_id=128679&org=NSF&from=news> announcing the selection of our project.

Opening 2:

Post-Doc Opening in Usable Privacy
School of Computer Science, Carnegie Mellon University

January 2017

The School of Computer Science at Carnegie Mellon University has a post-doctoral opening to work on an interdisciplinary project focused on the development and evaluation of Personalized Privacy Assistants for IoT and Big Data. The PIs are on this project are Profs. Norman Sadeh (lead PI), Alessandro Acquisti, Lujo Bauer, Lorrie Cranor, and Anupam Datta.

The successful candidate will have a PhD in computer science or a related discipline and have a background in user modeling and user-centered design. Preference will be given to candidates who have done research in usable privacy and security. Prior experience in machine learning, 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 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-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 2017. 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<mailto:laf20 at cs.cmu.edu>

For more information about the project, see http://privacyassistant.org

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Prof. Norman M. Sadeh – www.normsadeh.org
ISR -  School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue -- Pittsburgh, PA 15213

Lab Manager: Ms. Linda Moreci – laf20 at cs.cmu.edu<mailto:laf20 at cs.cmu.edu> - Tel: 412-268-9934
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