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<span style="color: #000000; font-family: arial, helvetica,
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display: inline !important; float: none; background-color:
#ffffff;">The GeoVISTA Center (</span><span class="Object"
id="OBJ_PREFIX_DWT6634_com_zimbra_url" style="color: #005a95;
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background-color: #ffffff;"><span class="Object"
id="OBJ_PREFIX_DWT6641_com_zimbra_url" style="color: #005a95;
text-decoration: none; cursor: pointer;"><a target="_blank"
href="http://www.geovista.psu.edu/" style="color: #005a95;
text-decoration: none; cursor: pointer;">www.geovista.psu.edu</a></span></span><span
style="color: #000000; font-family: arial, helvetica, sans-serif;
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!important; float: none; background-color: #ffffff;">) at The
Pennsylvania State University is seeking applicants for a
Postdoctoral Scholar position. The position will be a fixed-term
appointment of 12 months with the potential for renewal. The
successful applicant will join an interdisciplinary team that
brings together perspectives from GIScience, information science,
cognitive science, and computer science to achieve advances in
geo-Big Data methods and their application in contexts that range
from social and environmental science, through public health and
education; to support for risk assessment, disaster management and
humanitarian relief. Preference will be given to candidates with
research interests linked to space-time dynamics, spatial language
and text analytics, social data analytics, and/or choro-phronesis.
<br>
<br>
The position will involve participation in one or more ongoing
GIScience research projects as well as participation in proposals
for new projects. To meet existing project needs and to complement
current faculty, staff, and graduate assistant research efforts,
we are looking for an individual with substantive interests that
complement those of current faculty. The ideal candidate will have
expertise in at least two domains listed and the ability to
interact with an interdisciplinary research team that,
collectively, is focused on challenges within and across these
domains.<br>
</span>
<ul>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">(Geo)Visualization/Visual Analytics: Integration of
visual with statistical and computational methods for
exploration of large, high-dimensional, space-time data sets;
work with heterogeneous information sources (e.g., numerical
data, text, images); software engineering to support visual
analytics tool development (particularly for web-based
applications). </span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">(Geo)Text Analytics: Named-entity recognition and
geoparsing, place-time relevant text mining and topic
modeling, geographical information retrieval.</span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">Network Science: Geo-social networks; place-relevant
complexity science. </span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">Big Data and High Performance Computing: The use of
high performance computing to support interactive interfaces
for work with large volumes of heterogeneous and potentially
streaming spatial data.</span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">Knowledge Construction and Management: Semantic
search/mediation; spatio-temporal data representation;
connecting knowledge repositories with analytical tools. </span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">User-Centered Design/Cognitive Systems Engineering:
Usability engineering methods, human-computer interaction
(HCI), and laboratory studies to understand cognitive work
with visual information technologies. </span></li>
<li><span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing:
normal; line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">3D Modeling & Virtual Reality: of geographic
scale phenomenon, for applications in wayfinding, climate
change, ecology, and data visualization. </span></li>
</ul>
<span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
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display: inline !important; float: none; background-color:
#ffffff;"><br>
Additional desired qualifications include: ability to lead and
manage projects; software engineering expertise; strong written
and oral communication skills; experience in application of basic
research advances to relevant domains of science and practice; and
ability/willingness to participate (as an instructor or advisor)
in Penn State’s online geospatial education programs. <br>
<br>
The successful applicant must provide evidence of an ability to
work productively in an interdisciplinary collaborative research
setting. Expertise in geospatial information and technology is
desirable, but not essential. Ph.D. in hand at time of appointment
is required for postdoctoral appointment. <br>
<br>
Applicants should submit the following information (grouped as
needed into no more than 7 files for upload): a brief cover letter
indicating your interest in being considered; curriculum vitae /
resume and contact information for 3-5 references (name, office
address, and e-mail address); a one to two page statement of
experience as it relates to the research domains listed above; and
a maximum of five sample reprints/preprints (as PDFs). <br>
<br>
Review of applications will begin</span><span style="color:
#000000; font-family: arial, helvetica, sans-serif; font-size:
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-webkit-text-stroke-width: 0px; display: inline !important; float:
none; background-color: #ffffff;"> </span><span class="Object"
id="OBJ_PREFIX_DWT6635_com_zimbra_date" style="color: #005a95;
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helvetica, sans-serif; font-size: 13.3333px; font-style: normal;
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text-indent: 0px; text-transform: none; white-space: normal;
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background-color: #ffffff;"><span class="Object"
id="OBJ_PREFIX_DWT6642_com_zimbra_date" style="color: #005a95;
text-decoration: none; cursor: pointer;">March 11</span></span><span
style="color: #000000; font-family: arial, helvetica, sans-serif;
font-size: 13.3333px; font-style: normal; font-variant: normal;
font-weight: normal; letter-spacing: normal; line-height: normal;
orphans: auto; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 1;
word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline
!important; float: none; background-color: #ffffff;">, 2016, but
applications will be accepted until the position is filled. We
encourage applications from individuals of diverse backgrounds.
Questions about the position should be directed to Dr. Alan M.
MacEachren, Director, GeoVISTA Center, Department of Geography,
email:</span><span style="color: #000000; font-family: arial,
helvetica, sans-serif; font-size: 13.3333px; font-style: normal;
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id="OBJ_PREFIX_DWT6643_ZmEmailObjectHandler" style="color:
#005a95; text-decoration: none; cursor: pointer;"><a class="moz-txt-link-abbreviated" href="mailto:maceachren@psu.edu">maceachren@psu.edu</a></span></span><span
style="color: #000000; font-family: arial, helvetica, sans-serif;
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!important; float: none; background-color: #ffffff;">; phone:</span><span
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!important; float: none; background-color: #ffffff;"> </span><span
class="Object" id="OBJ_PREFIX_DWT6637_com_zimbra_phone"
style="color: #005a95; text-decoration: none; cursor: pointer;
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-webkit-text-stroke-width: 0px; background-color: #ffffff;"><a
href="callto:%28814%29%20865-7491" style="color: #005a95;
text-decoration: none; cursor: pointer;" target="_blank">(814)
865-7491</a></span><span style="color: #000000; font-family:
arial, helvetica, sans-serif; font-size: 13.3333px; font-style:
normal; font-variant: normal; font-weight: normal; letter-spacing:
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display: inline !important; float: none; background-color:
#ffffff;">. <br>
<br>
Apply online at</span><span style="color: #000000; font-family:
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normal; font-variant: normal; font-weight: normal; letter-spacing:
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display: inline !important; float: none; background-color:
#ffffff;"> </span><span class="Object"
id="OBJ_PREFIX_DWT6638_com_zimbra_url" style="color: #005a95;
text-decoration: none; cursor: pointer; font-family: arial,
helvetica, sans-serif; font-size: 13.3333px; font-style: normal;
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text-indent: 0px; text-transform: none; white-space: normal;
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background-color: #ffffff;"><span class="Object"
id="OBJ_PREFIX_DWT6644_com_zimbra_url" style="color: #005a95;
text-decoration: none; cursor: pointer;"><a target="_blank"
href="https://psu.jobs/job/61997" style="color: #005a95;
text-decoration: none; cursor: pointer;">https://psu.jobs/job/61997</a></span></span><span
style="color: #000000; font-family: arial, helvetica, sans-serif;
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!important; float: none; background-color: #ffffff;"> </span><br
style="color: #000000; font-family: arial, helvetica, sans-serif;
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<br style="color: #000000; font-family: arial, helvetica,
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background-color: #ffffff;">
<span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
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display: inline !important; float: none; background-color:
#ffffff;">CAMPUS SECURITY CRIME STATISTICS: For more about safety
at Penn State, and to review the Annual Security Report which
contains information about crime statistics and other safety and
security matters, please go to</span><span style="color: #000000;
font-family: arial, helvetica, sans-serif; font-size: 13.3333px;
font-style: normal; font-variant: normal; font-weight: normal;
letter-spacing: normal; line-height: normal; orphans: auto;
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white-space: normal; widows: 1; word-spacing: 0px;
-webkit-text-stroke-width: 0px; display: inline !important; float:
none; background-color: #ffffff;"> </span><span class="Object"
id="OBJ_PREFIX_DWT6639_com_zimbra_url" style="color: #005a95;
text-decoration: none; cursor: pointer; font-family: arial,
helvetica, sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
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background-color: #ffffff;"><span class="Object"
id="OBJ_PREFIX_DWT6645_com_zimbra_url" style="color: #005a95;
text-decoration: none; cursor: pointer;"><a target="_blank"
href="http://www.police.psu.edu/clery/" style="color: #005a95;
text-decoration: none; cursor: pointer;">http://www.police.psu.edu/clery/</a></span></span><span
style="color: #000000; font-family: arial, helvetica, sans-serif;
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orphans: auto; text-align: start; text-indent: 0px;
text-transform: none; white-space: normal; widows: 1;
word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline
!important; float: none; background-color: #ffffff;">, which will
also provide you with detail on how to request a hard copy of the
Annual Security Report.</span><br style="color: #000000;
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font-style: normal; font-variant: normal; font-weight: normal;
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text-align: start; text-indent: 0px; text-transform: none;
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-webkit-text-stroke-width: 0px; background-color: #ffffff;">
<br style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: #ffffff;">
<span style="color: #000000; font-family: arial, helvetica,
sans-serif; font-size: 13.3333px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
text-indent: 0px; text-transform: none; white-space: normal;
widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px;
display: inline !important; float: none; background-color:
#ffffff;">Penn State is an equal opportunity, affirmative action
employer, and is committed to providing employment opportunities
to all qualified applicants without regard to race, color,
religion, age, sex, sexual orientation, gender identity, national
origin, disability or protected veteran status.<br>
<br>
<br>
</span>
<div class="moz-signature">-- <br>
Dr. Alan M. MacEachren, Director - GeoVISTA Center
Professor of Geography and Affiliate Professor of Information
Sciences & Technology
302 Walker, Penn State University, University Park, PA 16802
<a class="moz-txt-link-abbreviated" href="http://www.GeoVISTA.psu.edu">www.GeoVISTA.psu.edu</a>; <span class="Object"
id="OBJ_PREFIX_DWT6636_ZmEmailObjectHandler" style="color:
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class="Object" id="OBJ_PREFIX_DWT6643_ZmEmailObjectHandler"
style="color: #005a95; text-decoration: none; cursor:
pointer;"><a class="moz-txt-link-abbreviated" href="mailto:maceachren@psu.edu">maceachren@psu.edu</a></span></span><span style="color:
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