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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Dr. Hanqi Guo’s group at the Department of Computer Science and Engineering at The Ohio State University is seeking multiple postdoc researchers and PhD students to work with us in cross-cutting
areas on scientific data. Our research spans diverse areas involving visualization, data management, and AI. Successful applicants will have opportunities to research cutting-edge problems, engage with a diverse range of real-world applications, and collaborate
with leaders in the research field.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Keywords: Scientific data, AI4Science, visualization, lossy compression, topology, data analysis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Requirements for postdoc positions:<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraph" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:Helvetica">PhD in Computer Science and related fields<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:Helvetica">Background in any related areas: visualization and visual analytics, AI, high-performance computing, computational topology, and
graphics<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:Helvetica">Demonstrated ability to conduct independent research<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Requirements for PhD positions:<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraph" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:Helvetica">Bachler’s or Master’s degree in computer science, mathematics, or related fields<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:Helvetica">Strong problem-solving skills and strong academic/research potential<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Highlights of our funded research projects are below.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">High-Dimensional Feature Tracking: Computational science, machine learning, and data analysis constantly advance and accelerate scientific discovery but usually depend on parameters that
require tuning. A key challenge in such tuning is understanding how a model's outcome changes with varying parameters and the sensitivity of each parameter. As a generalization of traditional spacetime feature tracking, we research parameter-space feature
tracking that associates essential features across multiple data instances to understand the impacts of different input parameters.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Topology-Aware Data Compression: This project focuses on developing topology-aware data compression techniques that preserve critical features in large-scale scientific simulations. The
research will enable efficient and effective compression for data-intensive applications in cosmology, climate science, and fusion energy.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Cyberinfrastructure for Lossy Compression Development: This project aims to create a framework for developing specialized lossy compressors for scientific data. By leveraging pre-developed,
high-performance data reduction modules and a visual user interface, we will streamline the creation and optimization of compressors tailored to specific use cases.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Visual Analytics of Ensembles with AI: This project addresses the challenges of visual analytics in ensemble simulations, focusing on Earth systems, energy systems, and cosmology. The
research will develop AI models, variation models, and actionable visualization techniques to enhance understanding and decision-making in ensemble simulations.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Interested candidates should prepare a curriculum vitae (CV), transcript, and sample publications (if any) and email them to
<a href="mailto:guo.2154@osu.edu">guo.2154@osu.edu</a>. Please feel free to email me if you have questions. We are excited to receive your applications.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica">Best,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
<div>
<p class="MsoNormal"><span style="font-size:7.5pt;font-family:Helvetica;mso-ligatures:none">-- <br>
Hanqi Guo<br>
<br>
Associate Professor | Computer Science and Engineering | The Ohio State University<br>
395 Dreese Laboratories, 2015 Neil Ave, Columbus, OH 43210-1210<br>
<br>
Computer Scientist (Joint Appointment) | Mathematics and Computer Science | Argonne National Laboratory<br>
Building 240, 9700 S Cass Ave, Lemont, IL 60439<br>
<br>
E-mail: </span><a href="mailto:guo.2154@osu.edu"><span style="font-size:7.5pt;font-family:Helvetica;color:#0563C1;mso-ligatures:none">guo.2154@osu.edu</span></a><span style="font-size:7.5pt;font-family:Helvetica;mso-ligatures:none"> |
</span><a href="mailto:hguo@anl.gov"><span style="font-size:7.5pt;font-family:Helvetica;color:#0563C1;mso-ligatures:none">hguo@anl.gov</span></a><span style="font-size:7.5pt;font-family:Helvetica;mso-ligatures:none">
<br>
Phone: 614-247-7848<br>
Web: </span><a href="https://hguo.github.io/" title="https://hguo.github.io/"><span style="font-size:7.5pt;font-family:Helvetica;color:#0563C1;mso-ligatures:none">https://hguo.github.io/</span></a><span style="font-size:11.0pt;font-family:Helvetica"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Helvetica"><o:p> </o:p></span></p>
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