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<p class="MsoNormal"><b><span lang="EN-US">Applications are invited for a PhD fellowship/scholarship at Graduate School of Natural Sciences, Aarhus University, Denmark, within the Computer Science programme. The position is available from February 2025 or later.<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Title:</span></b><span lang="EN-US"> Ensemble Visualization for Progressive Analytics<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Application Deadline:</span></b><span lang="EN-US"> November 01, 2024<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Call & Application Information:</span></b><span lang="EN-US">
<a href="https://phd.nat.au.dk/for-applicants/open-calls/november-2024/ensemble-visualization-for-progressive-analytics">
https://phd.nat.au.dk/for-applicants/open-calls/november-2024/ensemble-visualization-for-progressive-analytics</a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Research area and project description:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">Progressive Analytics is a stepwise data analysis paradigm that yields in-progress results which refine over time. It is still a rather young research direction that promises to deliver swift visual feedback even for
long-running analyses on large datasets – like Machine Learning, Artificial Intelligence, Simulation Models, Data Mining, or any mix thereof. How to interact with such ongoing computations to gauge their outputs and to steer their stream of generated analysis
results towards data subspaces of interest remains an open research question.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The idea behind this PhD project is to explore Ensemble Visualizations to answer that research question. Ensemble Visualizations do not just show one analysis result, but multiple, so as to provide an overview of the
diversity of possible results in the spirit of What-If analyses or Multiverse analyses. To that end, this PhD project will look into how to generate, visualize, interactively manage, and gain insight from dozens, potentially hundreds of progressively refining
parallel streams of analysis results.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">This groundbreaking new approach will open-up Progressive Analytics to completely new software architectures for realizing such analyses on one side, and to completely new application scenarios making use of these analyses
on the other side. Research on this project is carried out at the intersection of Data Visualization, Human-Computer Interaction, and Concurrent Programming. It will be carried out in close collaboration with colleagues from the University of Pittsburg (concurrent
software architectures) and from Aarhus University’s Department of Engineering (artifact detection in timeseries data).<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">This PhD project is fully funded as part “ArtiPlex”, a project granted by the Independent Research Fund Denmark (Danmarks Frie Forskningsfond).<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Please upload a project description (½-4 pages). This document should describe your ideas and research plans for this specific project. If you wish to, you can indicate an URL where further information can be found.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Qualifications and specific competences:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">To apply for the position, you must have a relevant Master’s degree (or equivalent) and excellent computer programming skills. Prior experience in at least one of the following areas is of advantage: data visualization,
data science, computer graphics, human-computer interaction, or concurrent programming. You are expected to bring or develop the necessary soft skills for working in teams, as well as for managing and communicating your research progress. The same holds for
the necessary hard skills in software development and scientific writing.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Place of employment and place of work:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">The place of employment is Aarhus University, and the place of work is Department of Computer Science, Åbogade 34, 8200 Aarhus N, Denmark.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Contacts:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">Applicants seeking further information for this project are invited to contact: Associate Professor Hans-Jörg Schulz,
<a href="mailto:hjschulz@cs.au.dk">hjschulz@cs.au.dk</a><o:p></o:p></span></p>
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