[PET] Two Post-Doc Positions in Usable Privacy at Carnegie Mellon University

Norman Sadeh sadeh at cs.cmu.edu
Mon Nov 20 22:50:42 GMT 2017


We have two openings for post-docs in the School of Computer Science at
Carnegie Mellon University. One opening is primarily for someone with an
interest in Usable Privacy and user modeling, and the other for someone
interested in Machine Learning and Natural Language Processing. Both
openings are to work on novel technologies for usable privacy.

See below for details.

Norman Sadeh

*OPENING # 1*


*Post-Doc Opening in Usable Privacy - Personalized Privacy Assistant
ProjectSchool of Computer Science, Carnegie Mellon University*


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 (https://privacyassistant.org) . 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, prototyping, and empirical evaluation
with a particular focus on 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://privacyassistant.org


*OPENING # 2*


*Post-Doc Opening in the area of Usable Privacy and ML/NLPSchool of
Computer Science, Carnegie Mellon University*


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 www.usableprivacy.org and
explore.usableprivacy.org See also the NSF press release announcing the
selection of our project.

--

Prof. Norman M. Sadeh – www.normsadeh.org

ISR -  School of Computer Science

Carnegie Mellon University

5000 Forbes Avenue -- Pittsburgh, PA 15213--

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 - Tel: 412-268-9934
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