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<td>[Ieee_vis_open_positions] Postdoc Position in
Visualization of Large Scale Geophysical Data Under
Uncertainties at KAUST</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
<td>Thu, 25 Feb 2016 16:40:21 +0100</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
<td>Thomas Höllt <a class="moz-txt-link-rfc2396E" href="mailto:thomas.hollt@kaust.edu.sa"><thomas.hollt@kaust.edu.sa></a></td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">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></td>
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<p class=""><span class="">Applications are sought for an open
postdoctoral position in visualization of large-scale random
data at King Abdullah University of Science and Technology
(KAUST). KAUST is a graduate research university located at
the Red Sea coast 80 km north of Jeddah, Saudi Arabia (<a
moz-do-not-send="true" href="http://kaust.edu.sa/"><span
class=""><a class="moz-txt-link-freetext" href="http://kaust.edu.sa">http://kaust.edu.sa</a></span></a>).</span></p>
<p class=""><span class=""></span><br>
</p>
<p class=""><span class="">The successful candidate will be
involved in a collaborative project between established
groups at KAUST with expertise in large-scale visualization
led by Professor Markus Hadwiger, ocean modeling and data
assimilation led by Professor Ibrahim Hoteit, and
uncertainty quantification led by Professor Omar Knio. The
aim of this project concerns the development and
demonstration of advanced visualization techniques that
would enable to systematically tackle some of key challenges
and open issues in uncertainty visualization. The project
focuses on various geophysical fluid applications, and
specifically aims to develop capabilities for preprocessing
statistical and information theoretic quantities, and
embedding uncertainty quantification capabilities into
interactive visualization tools.</span></p>
<p class=""><span class=""></span><br>
</p>
<p class=""><span class="">Qualified applicants should possess a
Ph.D. in computer science, applied mathematics, or a related
field, with research experience in visualization or other
areas of visual computing. Applicants should be able to work
on challenging research projects involving extensive
software development with a minimal amount of supervision.
Applicants should have experience in writing
high-performance, low-level code in C/C++ and developing GPU
code using OpenGL and CUDA or OpenCL. Extensive experience
with GPU shader and kernel development and debugging is a
must. Additional experience with programming languages such
as Python and JavaScript, libraries such as Qt, OpenCV, and
D3, as well as development environments such as Visual
Studio is beneficial.</span></p>
<p class=""><span class=""></span><br>
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<p class=""><span class="">The compensation package includes a
competitive tax-free salary ($65K-$75K); free fully
furnished housing; full health care; 4 weeks annual
vacation, free international schools, and family annual
travel allowance.</span></p>
<p class=""><span class=""></span><br>
</p>
<p class=""><span class="">To apply, please send curriculum
vitae and a letter of interest with the names and contact
information of at least two references to</span></p>
<p class=""><span class=""><a moz-do-not-send="true"
href="mailto:ibrahim.hoteit@kaust.edu.sa">ibrahim.hoteit@kaust.edu.sa</a></span></p>
<p class=""><span class=""></span><br>
</p>
<p class=""><span class="">KAUST believes that a commitment to
the principles of fairness and respect for all helps create
a climate that is favorable to the free and open exchange of
ideas, and the University seeks to reach out as widely as
possible in order to attract and retain the best faculty,
staff and students. For these reasons, decisions concerning
the admission and evaluation of students, the granting of
scholarships and research funding, as well as employment of
personnel in all University departments and offices, are
made on the basis of an individualâs qualifications and
contributions to the Universityâs educational objectives
and its institutional goals.</span></p>
<p class=""><span class="">For more information on the KAUST
vision visit <a moz-do-not-send="true"
href="http://www.kaust.edu.sa/vision.html">http://www.kaust.edu.sa/vision.html</a></span></p>
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