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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">Subject:
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<td>[Ieee_vis_open_positions] PhD position in data
visualization and analytics for the Sagalassos archaeology
project</td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">Date: </th>
<td>Tue, 29 Aug 2017 21:43:03 +0000</td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">From: </th>
<td>Jan Aerts via ieee_vis_open_positions
<a class="moz-txt-link-rfc2396E" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">Reply-To:
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<td>Jan Aerts <a class="moz-txt-link-rfc2396E" href="mailto:jan.aerts@kuleuven.be"><jan.aerts@kuleuven.be></a></td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de">ieee_vis_open_positions@listserv.uni-tuebingen.de</a>
<a class="moz-txt-link-rfc2396E" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
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<div>The Visual Data Analysis Lab and Research[x]Design Lab at
the KU Leuven (Belgium) have a joint open
<b>PhD position in the field of data science and visualization
/ interaction design</b>. The candidate will be part of a
multidisciplinary team of researchers around the Sagalassos
Archaeological Research Project, covering the domains of
<b>archaeology, geography, ecology and spatial planning</b>.<br>
<br>
== The project ==<br>
We seek to unravel the interdisciplinary understanding of
change and its space/time dimensions within already existing
and future data sources of the Sagalassos project (running
since 1986), which investigates an archaeological site in
Turkey and studies its uninterrupted occupation over nearly
2,000 years in all its aspects, from daily life, diet,
religious beliefs, to architecture, production, trade and its
mechanisms, as well as natural resources and environmental
conditions of the past.<br>
<br>
This is a joint project between research groups of
archaeology, ecology, geography, architecture and data
analysis/visualization (STADIUS and RxD). The candidate will
be supervised by Profs Aerts and Vande Moere at STADIUS and
RxD, respectively, in close collaborations with the other
partners in the project.<br>
<br>
Links:<br>
* Research[x]Design: <a class="moz-txt-link-freetext" href="http://rxd.architectuur.kuleuven.be/">http://rxd.architectuur.kuleuven.be/</a><br>
* Visual Data Analysis Lab: <a class="moz-txt-link-freetext" href="http://vda-lab.be">http://vda-lab.be</a><br>
* Sagalassos Archaeological Research Project:
<a class="moz-txt-link-freetext" href="http://www.sagalassos.be">http://www.sagalassos.be</a><br>
<br>
== Profile ==<br>
Candidates must have a <b>Master's degree or equivalent in
computer science, computational design or a related field</b>,
and have
<b>very good knowledge of data visualization or data
analytics, and human-computer interaction</b>, or
demonstrate the ability to acquire sufficient skills in all of
these areas. Solid programming skills and fluency in spoken
and written English are required and could be evidenced by
examples of working visualisations. <br>
<br>
Tasks will include the <b>user-centered and iterative design
of visualisations that are able to meaningfully combine
inherently disparate data sources from different disciplines</b>
(i.e. archaeology; geography; ecology; spatial planning) that
are involved in the Sagalassos project, and the <b>evaluation
of these visualisations in terms of (synchronous)
cross-disciplinary and collaborative insight and hypothesis
generation</b>. <br>
<br>
As such, the candidate is expected to merge the expertise from
the field of <b>human-computer interaction</b> (i.e. user
studies, interaction design, prototyping, evaluation) with
that of
<b>visual analytics</b> (i.e. combining representation with
machine learning; incl. clustering and dimensionality
reduction). Depending on the potential interaction
requirements, explorations towards promising emerging
technologies such as augmented reality (AR) and/or
physicalisation are possible. <br>
<br>
Please note short-listed candidates might be asked to fulfil
concise assignments to test their proficiency. <br>
<br>
== Offer ==<br>
We offer:<br>
* Full-time employment starting January 1st 2018 for a period
of four years, with the aim of obtaining a PhD degree<br>
* A competitive salary<br>
* A stimulating scientific working environment, within one of
Europe's leading research universities<br>
<br>
== Contact ==<br>
For more information please contact Prof. dr. ir. Jan Aerts,
tel.: +32 16 32 10 53, mail: <a class="moz-txt-link-abbreviated" href="mailto:jan.aerts@kuleuven.be">jan.aerts@kuleuven.be</a> or Prof.
dr. Andrew Vande Moere, tel.: +32 16 32 13 62, mail:
<a class="moz-txt-link-abbreviated" href="mailto:andrew.vandemoere@kuleuven.be">andrew.vandemoere@kuleuven.be</a>.<br>
<br>
========================================<br>
Prof Jan Aerts<br>
* Visual Data Analysis Lab (vda-lab.be)<br>
* Data Visualization Lab (datavislab.org)<br>
* Bioinformatics - ESAT/STADIUS, Faculty of Engineering
(<a class="moz-txt-link-abbreviated" href="http://www.kuleuven.be/bioinformatics">www.kuleuven.be/bioinformatics</a>)<br>
* IMEC Smart Applications<br>
<br>
KU Leuven - University of Leuven<br>
Kasteelpark Arenberg 10 bus 2446<br>
3001 Leuven-Heverlee<br>
ORCID: <a class="moz-txt-link-freetext" href="http://orcid.org/0000-0002-6416-2717">http://orcid.org/0000-0002-6416-2717</a><br>
Tel: +32 16 321053<br>
Fax: +32 16 321970<br>
VAT BE 0419 052173<br>
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