<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-family: Calibri, sans-serif;"><div><div><div><b style="font-family: 'Times New Roman'; font-size: 12pt;"><span style="font-size:14.0pt;font-family:Times-Bold;mso-bidi-font-family:Times-Bold">Post-Doc
and Project Scientist Openings – Research on Personalized Privacy Assistant for the
Internet of Things</span></b></div></div></div><span id="OLK_SRC_BODY_SECTION"><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-family: Calibri, sans-serif;"><span id="OLK_SRC_BODY_SECTION"><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-family: Calibri, sans-serif;"><p class="MsoNormal"><b><span style="font-size:14.0pt;font-family:Times-Bold;mso-bidi-font-family:Times-Bold"> </span></b></p><p class="MsoNormal"><b><span style="font-family:Times-Bold;mso-bidi-font-family:Times-Bold">School of
Computer Science, Carnegie Mellon University<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-family:Times-Bold;mso-bidi-font-family:Times-Bold"> </span></b></p><p class="MsoNormal"><span style="font-size:11.0pt;font-family:Times-Bold;mso-bidi-font-family:Times-Bold;
mso-bidi-font-weight:bold">November 2015<o:p></o:p></span></p><p class="MsoNormal"><b><span style="font-family:Times-Roman;
mso-bidi-font-family:Times-Roman"> </span></b></p><p class="MsoNormal"><span style="font-size:11.0pt">The <b>School of
Computer Science at Carnegie Mellon University</b> has two openings (one
project scientist position and one post-doc position) to work on a high-profile, interdisciplinary
project aimed at <b>developing Personalized
Privacy Assistants for the Internet of Things. Both positions are research positions that
require a PhD. </b>The project scientist position is a more senior position
that also includes <b>some managerial
responsibilities</b>. Both positions report directly to the lead Principal
Investigator of the project<b>.<o:p></o:p></b></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><span style="font-size:11.0pt;mso-fareast-language:EN-US">The Internet of Things
(IoT) and Big Data are making it impractical for people to keep up with the
many different ways in which their data can potentially be collected and
processed. What is needed is a new, more scalable paradigm that empowers users
to regain appropriate control over their data. <b>Personalized privacy assistants</b> are
intelligent agents capable of <b>learning
the privacy preferences of their users over time, semi-automatically
configuring many settings</b>, and making many privacy decisions on their
behalf. Through targeted interactions, privacy assistants will help their users
better appreciate the ramifications associated with the processing of their
data, and empower them to control such processing in an intuitive and effective
manner. This includes: (1) <b>selectively
alerting users</b> about practices they are not expecting and may not feel
comfortable with, (2) confirming with users <b>privacy settings</b> the assistants are not sure how to configure, (3)
refining <b>models of their user’s
preferences</b> over time, and (4) occasionally <b>nudging users</b> to carefully (re)consider the implications of some of
their privacy decisions. Ultimately, these assistants will learn our
preferences and help us more effectively manage our privacy settings across a
wide range of devices and environments without the need for frequent interruptions.</span><span style="font-size:11.0pt"><o:p></o:p></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><span style="font-size:11.0pt">This project involves five faculty members at Carnegie
Mellon University (<b>Prof. Norman Sadeh,
Alessandro Acquisti, Lujo Bauer, Lorrie Cranor </b>and<b> Anupam Datta</b>) along with a number of graduate and undergraduate
students and several other post-docs. As part of this research, we are building
on promising results we have obtained developing personalized privacy
assistants for mobile apps. This is a multi-disciplinary effort that combines <b>privacy, human computer interaction,
machine learning, artificial intelligence </b>and<b> behavioral science</b>. Work in the project will combine human subject
experiments and software development with deployment and piloting of our
technology in actual Internet of Things environments.<o:p></o:p></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><span style="font-size:11.0pt">Both openings are for individuals who are interested
in and capable of contributing to <b>research
in one or more of the following areas</b>: (1) Modeling user privacy
preferences, (2) Dialogs with users to selectively communicate important
privacy policy considerations and elicit preferences and decisions from users,
(3) machine learning techniques to incrementally refine user models, (4) develop
and refine machine readable privacy policy languages to capture relevant data
collection practices and privacy preferences, (5) protocols to communicate
privacy policies and configure privacy settings in IoT and mobile environments,
(6) design, development and evaluation of mobile clients implementing different
configurations of personalized privacy assistants.<o:p></o:p></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><b><span style="font-size:11.0pt">Successful candidates
are expected to have a PhD in computer science or some equally relevant
discipline - or have some equivalent research
experience</span></b><span style="font-size:11.0pt">. They are expected to be
capable of working under limited supervision and should have <b>strong organizational and communication
skills</b>. They are also expected to have some development skills and have
experience collaborating with others in the context of large-scale research and
software projects. Both openings include opportunities to directly supervise
both undergraduate and graduate students working on the project. <b>Actual work is expected to involve a mix of
conceptual design, experimentation, software development, and empirical
evaluations (including human subject experiments). The project scientist
position also involves some managerial responsibilities to support the lead
Principal Investigator coordinate the project and interact with the project
sponsors</b>. The successful candidates are expected to publish papers in
top-tier conferences and journals along with other faculty and students. <o:p></o:p></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><span style="font-size:11.0pt">Initial appointments will be for one or two years with
option of renewal subject to performance and availability of funding. These
positions are available immediately. Preference will be given to candidates who
can start by March 2016. Carnegie Mellon offers competitive salaries and
benefits. To be considered for one or both positions, candidates should forward
their resume along with the names of 3 references to:<o:p></o:p></span></p><p class="MsoNormal"><span style="font-size:11.0pt"> </span></p><p class="MsoNormal"><b><span lang="IT" style="font-size:11.0pt;mso-ansi-language:IT">Ms. Linda Francona<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt">ISR – School of Computer Science<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt">5000 Forbes Avenue<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt">Pittsburgh, PA 15213-3891 - USA<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt">Tel: +1-412-268-9934<o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt">Email: </span></b><a href="mailto:laf20@cs.cmu.edu"><b><span style="font-size:11.0pt">laf20@cs.cmu.edu</span></b></a><b><span style="font-size:11.0pt"><o:p></o:p></span></b></p><p class="MsoNormal"><b><span style="font-size:11.0pt"> </span></b></p><!--EndFragment--><div><span style="font-family: Calibri; font-size: medium;">~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</span></div><div><div style="font-family: Calibri; font-size: medium; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;">Prof. Norman M. Sadeh – www.normsadeh.org<br>ISR - School of Computer Science<br>Carnegie Mellon University<br>5000 Forbes Avenue -- Pittsburgh, PA 15213<br><br>Lab Manager: Ms. Linda Moreci – <a href="mailto:laf20@cs.cmu.edu">laf20@cs.cmu.edu</a> - Tel: 412-268-9934</div><div style="font-family: Calibri; font-size: medium; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;">~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</div></div></div></span></div></span><link rel="File-List" href="file://localhost/Users/sadeh/Library/Caches/TemporaryItems/msoclip/0/clip_filelist.xml"><link rel="themeData" href="file://localhost/Users/sadeh/Library/Caches/TemporaryItems/msoclip/0/clip_themedata.xml"><style>
<!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;
mso-font-charset:0;
mso-generic-font-family:auto;
mso-font-pitch:variable;
mso-font-signature:-536870145 1107305727 0 0 415 0;}
@font-face
{font-family:Batang;
panose-1:0 0 0 0 0 0 0 0 0 0;
mso-font-alt:바탕;
mso-font-charset:129;
mso-generic-font-family:auto;
mso-font-format:other;
mso-font-pitch:fixed;
mso-font-signature:1 151388160 16 0 524288 0;}
@font-face
{font-family:Times-Roman;
panose-1:0 0 0 0 0 0 0 0 0 0;
mso-font-alt:Times;
mso-font-charset:0;
mso-generic-font-family:auto;
mso-font-format:other;
mso-font-pitch:auto;
mso-font-signature:3 0 0 0 1 0;}
@font-face
{font-family:Times-Bold;
panose-1:0 0 0 0 0 0 0 0 0 0;
mso-font-alt:Times;
mso-font-charset:0;
mso-generic-font-family:auto;
mso-font-format:other;
mso-font-pitch:auto;
mso-font-signature:3 0 0 0 1 0;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{mso-style-unhide:no;
mso-style-qformat:yes;
mso-style-parent:"";
margin:0in;
margin-bottom:.0001pt;
mso-pagination:widow-orphan;
font-size:12.0pt;
font-family:"Times New Roman";
mso-fareast-font-family:Batang;
mso-fareast-language:KO;}
a:link, span.MsoHyperlink
{mso-style-unhide:no;
color:blue;
text-decoration:underline;
text-underline:single;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-noshow:yes;
mso-style-priority:99;
color:purple;
mso-themecolor:followedhyperlink;
text-decoration:underline;
text-underline:single;}
.MsoChpDefault
{mso-style-type:export-only;
mso-default-props:yes;
font-size:10.0pt;
mso-ansi-font-size:10.0pt;
mso-bidi-font-size:10.0pt;
mso-fareast-font-family:Batang;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.25in 1.0in 1.25in;
mso-header-margin:.5in;
mso-footer-margin:.5in;
mso-paper-source:0;}
div.WordSection1
{page:WordSection1;}
-->
</style></body></html>