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      <br>
      -------- Forwarded Message --------
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            <th nowrap="nowrap" valign="BASELINE" align="RIGHT">Subject:
            </th>
            <td>[Ieee_vis_open_positions] 3-year PhD position at Aarhus
              University on Progressive Visual Analytics</td>
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            <th nowrap="nowrap" valign="BASELINE" align="RIGHT">Date: </th>
            <td>Thu, 30 Aug 2018 07:12:46 +0000</td>
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            <th nowrap="nowrap" valign="BASELINE" align="RIGHT">From: </th>
            <td>Hans-Jörg Schulz 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:
            </th>
            <td>Hans-Jörg Schulz <a class="moz-txt-link-rfc2396E" href="mailto:hjschulz@cs.au.dk"><hjschulz@cs.au.dk></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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        <p class="MsoNormal">Please distribute this call for a 3-year,
          fully funded PhD position at Aarhus University, Denmark
          starting February 2018 to prospective candidates.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><b>Focused-PVA: Progressive Visual
            Analytics for Focus+Context Techniques<o:p></o:p></b></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Progressive Visual Analytics (PVA) is
          currently revolutionizing big data analysis. Instead of
          crunching a whole dataset at once, PVA breaks a dataset down
          into smaller chunks and processes them in order of importance.
          This way, after each chunk, we can already output an
          in-progress result on which to base early analytical decisions
          long before the dataset is processed in its entirety. You
          probably know this concept from slowly transmitted images or
          maps online that are already shown while still being refined.
          PVA is like that, but for long-running data analysis and
          visualization operations.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">This PhD project sets out to apply PVA to
          visual analysis techniques that follow the focus+context
          principle – i.e., by interacting with a visualization, users
          specify a point or region of interest (the focus) and its
          periphery of lesser interest (the context). Following the
          focus+context principle yields a natural, user-driven starting
          point for data partitioning and ordering strategies for PVA
          that is expected to outperform sampling-based methods, which
          partition the data without taking the user into account. It
          will be your task to explore this new combination of
          “Focused-PVA” to merge the swiftness and responsiveness of PVA
          with the interactive, user-driven nature of the focus+context
          principle.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Research questions to pursue in this
          project are:<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoListParagraph"
          style="text-indent:-.25in;mso-list:l0 level1 lfo3"><!--[if !supportLists]--><span
            style="font-family:Symbol"><span style="mso-list:Ignore">·<span
                style="font:7.0pt "Times New Roman"">        
              </span></span></span><!--[endif]-->What can we imply from
          the focus/context information in terms of suitable data
          partitioning schemes and processing strategies for PVA? How
          does the kind of visualization in which the focus is specified
          influence these strategies?<o:p></o:p></p>
        <p class="MsoListParagraph"
          style="text-indent:-.25in;mso-list:l0 level1 lfo3"><!--[if !supportLists]--><span
            style="font-family:Symbol"><span style="mso-list:Ignore">·<span
                style="font:7.0pt "Times New Roman"">        
              </span></span></span><!--[endif]-->In which way can we
          leverage Focused-PVA to instantiate, for example, Progressive
          Lenses, Progressive Portals, or Progressive Probes on top of
          different visualizations?<o:p></o:p></p>
        <p class="MsoListParagraph"
          style="text-indent:-.25in;mso-list:l0 level1 lfo3"><!--[if !supportLists]--><span
            style="font-family:Symbol"><span style="mso-list:Ignore">·<span
                style="font:7.0pt "Times New Roman"">        
              </span></span></span><!--[endif]-->How to generalize the
          above ideas from a binary distinction between focus and
          context regions to a continuous distance-based concept of
          importance? How to extend this concept to two or more focal
          regions?<o:p></o:p></p>
        <p class="MsoListParagraph"><o:p> </o:p></p>
        <p class="MsoNormal">Work on this PhD topic will be conducted in
          close collaboration with the DABAI project (<a
            href="https://dabai.dk" moz-do-not-send="true">https://dabai.dk</a>),
          which provides the datasets and analysis scenarios on which
          the developed visualizations are tested. In addition, this
          research topic is embedded in a larger ongoing research effort
          to develop a visual analytics concept and system that will
          center on progressive visualizations using smart lenses or
          locally inserted “in situ visualizations”.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">For more information please refer to <a
href="http://talent.au.dk/phd/scienceandtechnology/opencalls/calls-on-specific-projects/november-2018/focused-pva-progressive-visual-analytics-for-focus-context-techniques/"
            moz-do-not-send="true">
http://talent.au.dk/phd/scienceandtechnology/opencalls/calls-on-specific-projects/november-2018/focused-pva-progressive-visual-analytics-for-focus-context-techniques/</a><o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Application deadline is 1 November 2018 at
          11.59 PM MET.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">---<o:p></o:p></p>
        <p class="MsoNormal">Assoc. Prof. Hans-Jörg Schulz<o:p></o:p></p>
        <p class="MsoNormal">Department of Computer Science<o:p></o:p></p>
        <p class="MsoNormal">Aarhus University<o:p></o:p></p>
        <p class="MsoNormal">Åbogade 34<o:p></o:p></p>
        <p class="MsoNormal">8200 Aarhus N, Denmark<o:p></o:p></p>
        <p class="MsoNormal">eMail: <a href="mailto:hjschulz@cs.au.dk"
            moz-do-not-send="true">hjschulz@cs.au.dk</a><o:p></o:p></p>
        <p class="MsoNormal">web: <a href="http://hjschulz.net"
            moz-do-not-send="true">http://hjschulz.net</a> <o:p>
          </o:p></p>
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