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<td>[Ieee_vis_open_positions] 3-year Research Associate
Position on Visual Analytics at giCentre, City University
London</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
<td>Tue, 17 May 2016 16:33:29 +0000</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
<td>Turkay, Cagatay <a class="moz-txt-link-rfc2396E" href="mailto:Cagatay.Turkay.1@city.ac.uk"><Cagatay.Turkay.1@city.ac.uk></a></td>
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<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>3-year Research Associate Position on Interactive Visual
Analysis for Decision-Making within Cyber-Security Systems</div>
<div><br>
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<div>Dear colleagues, </div>
<div><br>
</div>
<div>The giCentre at City University London is seeking a
Research Associate in Visualisation to work on the EU funded
Project DiSIEM. The post is on researching Interactive
Visualisation methods for Supporting Decision-Making in
Diverse Cyber-Security Systems.</div>
<div><br>
</div>
<div>The position is within the EC H2020 funded “DiSIEM –
Diversity Enhancements for SIEMs” and is for a fixed term of
36 months and is available from 1 September 2016. The project
is coordinated by University of Lisbon and has 5 industrial
partners involved -- EDP, ATOS, Amadeus, Digital MR, and
Fraunhofer Institute . The project is an innovation action and
in addition to excellent research, we strive to deliver
deployable quality solutions.</div>
<div><br>
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<div>We expect you to have a PhD degree (either awarded or
thesis submitted) or equivalent research experience in a
relevant discipline possibly within Computer Science or
related fields. We will be looking for expertise and
publication record in visualisation, visual-analytics,
human-computer interaction, and human factors in visualisation
design. In addition, knowledge in machine-learning and/or data
mining approaches to data analysis is beneficial for the
project. </div>
<div><br>
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<div>The application deadline for the post is:</div>
<div><br>
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<div>*** 15 June 2016 ***</div>
<div><br>
</div>
<div>and further details and links to the application forms can
be found on the giCentre web pages on this link:
<a moz-do-not-send="true"
href="http://www.gicentre.net/news/2016/5/12/research-associate-position-in-interactive-visual-analysis-for-decision-making"
id="LPlnk569711"
title="http://www.gicentre.net/news/2016/5/12/research-associate-position-in-interactive-visual-analysis-for-decision-making
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or tap to follow the link">
http://www.gicentre.net/news/2016/5/12/research-associate-position-in-interactive-visual-analysis-for-decision-making</a></div>
<div><br>
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<div>and for information about giCentre, please check our
web-pages on <a moz-do-not-send="true"
href="http://www.gicentre.net/" id="LPlnk710394">http://www.gicentre.net/</a> </div>
<div><br>
</div>
<div>For questions and an informal discussion about the post,
feel free to contact Cagatay Turkay
(<a class="moz-txt-link-abbreviated" href="mailto:Cagatay.Turkay.1@city.ac.uk">Cagatay.Turkay.1@city.ac.uk</a>).</div>
<div><br>
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<div>Best,</div>
<div>Cagatay</div>
<br>
<p>--</p>
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Dr. Cagatay Turkay, <br>
Lecturer in Applied Data Science, <br>
giCentre, School of Informatics, <br>
City University, London, <br>
EC1V OHB<br>
Tel: +44 20 7040 8415<br>
Mail: <a class="moz-txt-link-abbreviated" href="mailto:Cagatay.Turkay.1@city.ac.uk">Cagatay.Turkay.1@city.ac.uk</a><br>
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