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<div class="WordSection1">
<p class="MsoNormal"><b>Postdoctoral Researcher Positions in Visual Analytics, Data Science and Trustable AI<o:p></o:p></b></p>
<p class="MsoNormal">Data Institute for Societal Challenges<o:p></o:p></p>
<p class="MsoNormal">The University of Oklahoma, Norman, OK<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal" style="text-align:justify">We invite applications for two postdoctoral researchers <b><u>with Summer or Fall start dates</u></b> in visual analytics, data science, machine learning, trustable AI, social media analytics, and big data analytics
across a wide spectrum of application areas. <o:p></o:p></p>
<p class="MsoNormal">The successful candidate will perform duties including:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0 level1 lfo1">
Research in visual analytics in application domains including social media analysis, interactive and explainable AI, sustainable food-energy-water systems public safety, crisis management, functional soil mapping, precision agriculture. <o:p></o:p></li><li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo1">
<span style="font-family:"Verdana",sans-serif">Research in </span><span style="font-family:"Verdana",sans-serif;background:white">Foundational Data Science with a specific focus on trustable and scientific AI<o:p></o:p></span></li></ul>
<p class="MsoListParagraphCxSpLast" style="text-align:justify"><span style="font-family:"Verdana",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0 level1 lfo1">
Assist in drafting successful research grant proposals.<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0 level1 lfo1">
Lead research activities within the group, including project management and stakeholder engagement.<o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0 level1 lfo1">
Assist in supervising graduate and undergraduate students. <o:p></o:p></li><li class="MsoNormal" style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0 level1 lfo1">
Interface with renowned academic research groups at and beyond OU.<o:p></o:p></li></ul>
<p class="MsoNormal"><b>Requirements<o:p></o:p></b></p>
<p class="MsoNormal" style="text-align:justify">The candidate should hold a Ph.D. in Computer Science, Information Science, Industrial Engineering, Geography, Statistics, Data Science or a related field, with a strong research background and expertise in data
science, visual analytics, trustable, explainable AI, or some of these areas: <o:p>
</o:p></p>
</div>
<span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:auto">
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<li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Geospatial and temporal analysis<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Statistics <o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Machine learning/AI<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Human-guided AI<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Cognitive science <o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Human-computer interaction<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Big data <o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Human factors <o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Health and public health analytics
<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Digital Humanities<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Food-water-energy systems<o:p></o:p></span></li><li class="MsoListParagraphCxSpLast" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4 level1 lfo2">
<span style="font-family:"Verdana",sans-serif">Sustainable/precision agriculture <o:p>
</o:p></span></li></ul>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">OU has multiple joint research projects with Peruvian Universities. Therefore, professional proficiency in <u>Spanish</u> is a plus.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Both beginning and senior postdoctoral candidates are encouraged to apply. Excellent oral and written communication skills are mandatory.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="color:black">About Us<o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify">We are the OU Data Science Institute for Societal Challenges (DISC Center). The DISC Center is a new campus-wide institute in the Vice President for Research and Partnerships office. Our mission is to empower
transdisciplinary research and collaboration to drive convergent solutions to societal challenges in Oklahoma, the nation, and the world through data science research, tools and capabilities.
<span style="color:windowtext"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="text-align:justify"><span style="background:white">The Data Institute for Societal Challenges convenes diverse teams to collaborate to solve some of the world’s most pressing problems and achieve a lasting societal impact. These
communities are:<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3">
<span style="font-family:"Verdana",sans-serif;background:white">Foundational Data Science<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3">
<span style="font-family:"Verdana",sans-serif;background:white">Aerospace, Defense and Global Security<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3">
<span style="font-family:"Verdana",sans-serif">Community and Societal Transformation<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3">
<span style="font-family:"Verdana",sans-serif">The Future of Health<o:p></o:p></span></li><li class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1 level1 lfo3">
<span style="font-family:"Verdana",sans-serif;color:black;border:none windowtext 1.0pt;padding:0in">Environment, Energy, and Sustainability </span><span style="font-family:"Verdana",sans-serif"><o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify">DISC works closely with local and international collaborators, including social media experts, sustainability experts, agricultural producers, health and public safety departments, economists, first responders,
computational scientists, businesses, and researchers in science, engineering, and economics.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Some of the projects DISC is currently engaged with include:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraph" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif">Visual Analytics for Public Health Applications<o:p></o:p></span></i></li></ul>
<p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span style="font-size:10.0pt">The ongoing and evolving COVID-19 pandemic has resulted in tremendous negative effects on people’s daily lives. It is critical for decision makers such as health
care officials and governors to foresee potential impacts and make timely decisions. To aid in this process, we are developing PanViz 2.0, a visual analytics application that combines epidemic model and AI-driven analytics to infer the best-fit parameters
to enable the adaptation to ongoing pandemics at multiple spatial aggregations (national wide, state level, and county level).<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif">Data Analytics for Social Justice<o:p></o:p></span></i></li></ul>
<p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">DISC is currently engaged in a series of projects that fall under the broad label of data analytics for social justice.
These projects include the extension of the SMART system to analyze changes in public perceptions and opinions around policing in communities of color (Social Media and the Visual Politics of Policing Communities of Color). We are working alongside the OU
Carceral Studies Consortium to apply data science and data analytics to study the long-term effects of incarceration while developing policy solutions centered on reducing juvenile incarceration.
<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif">Detecting and Countering Online Misinformation<o:p></o:p></span></i></li></ul>
<p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Recent events have highlighted the pernicious and deleterious impact that misinformation and disinformation have on
public discourse and policy making. DISC is directly involved in several projects seeking to identify, label, and counter the spread of misinformation and disinformation
</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#444444;background:#FAFAFA">through integrated social science theory, risk communication, data science, cognitive psychology, and communication theories and techniques.</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">
One of these projects, conducted in conjunction with researchers from the Gaylord College of Journalism, focuses on identifying and countering misinformation around cancer treatments.
<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;mso-list:l3 level1 lfo5">
<i><span style="font-family:"Verdana",sans-serif;color:black;background:white">AI Institute Planning grant: A Gap-Based Approach to Frame and Develop Robust AI for Sustainable, Climate-Adapted Agriculture</span></i><i><span style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li></ul>
<p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span style="font-size:10.0pt">This NSF/USDA project aims to build stakeholder trust in the power of artificial intelligence to create congruency and efficiency in predicting Climate, Food, and
Water processes by leveraging the foundation of the physical and biological processes underlying the data and their model representations.
<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraph" style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif">UNSA/OU Alianza Institute: Public Health Monitoring and Decision Making in Peru<o:p></o:p></span></i></li></ul>
<p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span style="font-size:10.0pt">This pilot project will evaluate the feasibility of a real-time, electronic, syndromic surveillance and decision-making system to provide (i) base data needed for
accurate situational surveillance, virus spread status, and measurement of mitigation actions, and (ii) support for timely, data-, model-, and expertise-driven problem solving<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif;color:windowtext">Social Media Analytics and Reporting Toolkit (SMART)</span></i><i><span style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li></ul>
<p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif">The Social Media Analytics and Reporting Toolkit (SMART) provides interactive exploration and analysis of real-time, publicly available
Twitter and Instagram data through scalable integrated topic modeling algorithms, spatial cluster visualizations, exclusion and inclusion of semantic keyword filters, and temporal views. SMART is powered by advanced analytics and human-guided, interactive
machine learning for applications in misinformation and disinformation, social justice, and public safety.<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo4">
<i><span style="font-family:"Verdana",sans-serif;color:windowtext">NATO- netwoRk for alErting And managing publiC safeTy and resilience – REACT</span></i><i><span style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li></ul>
<p class="MsoListParagraphCxSpLast" style="text-align:justify"><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">This project will develop
</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif"> an innovative pilot platform (REACT) for the rapid and effective response and management of natural or man-made crisis scenarios, integrating real-time social media analysis and real-time
chemical and biological sensing.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span style="font-size:10.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-left:.5in"><o:p> </o:p></p>
<p class="MsoNormal"><b>To apply<o:p></o:p></b></p>
<p class="MsoNormal">Please send your CV and a one-page research statement to Dr. David Ebert (<a href="mailto:ebert@ou.edu">ebert@ou.edu</a>) and Dr. Audrey Reinert (<a href="mailto:areinert@ou.edu">areinert@ou.edu</a>). Applications will be reviewed on a
rolling basis until the positions are filled. <o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">Sincerely,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">David<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Associate Vice President of Research and Partnerships<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Director, Data Institute for Societal Challenges (DISC)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">University of Oklahoma
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">5 Partners Place<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">201 Stephenson Pkwy, Ste 4600<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Norman, OK 73019<o:p></o:p></span></p>
<p class="MsoNormal"><a href="mailto:ebert@ou.edu"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">ebert@ou.edu</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D"> </span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Associate Vice President of Research and Partnerships<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Director, Data Institute for Societal Challenges (DISC)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">University of Oklahoma
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">5 Partners Place<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">201 Stephenson Pkwy, Ste 4600<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Norman, OK 73019<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D"><a href="mailto:ebert@ou.edu"><span style="color:blue">ebert@ou.edu</span></a> </span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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