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<b>Fully-Funded PhD Position for Visual Analytics Applied to Fine-Arts Analysis</b><br>
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</font>The<a href="http://graphics.tudelft.nl/"> Computer Graphics and Visualization (CGV)</a> group at the <a href="https://www.tudelft.nl/en/eemcs/the-faculty/">Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)</a>, TU Delft invites
applications for full-time doctoral candidates in the area of Visualization and Visual Analytics applied to analysis of Fine-Art. Together with the Rijksmuseum Amsterdam and the department of Material Science and Engineering at TU Delft, we are already working
on Visual Analytics methods for identifying pigments in historical paintings (e.g., see <a href="https://www.thomashollt.com/publications/2022_gch_andra/">https://www.thomashollt.com/publications/2022_gch_andra/</a>).
<div>The successful candidate will continue this collaboration with several possible topics such as the identification of layering structures in paintings, reasoning on the aging process of identified pigments, or the simulation of different lighting conditions.
For this, we work with hyperspectral and other high-dimensional imaging data modalities. Besides workflows and design of visual representations, the project will provide different opportunities to work on methodological improvements for the analysis of this
data. An example is the adaptation of dimensionality reduction algorithms for information visualization or the improvement of the acquisition process by (partially) predicting modalities using machine learning methods.</div>
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<div>The CGV group investigates realistic, perceptual, and expressive rendering, visualization of scientific and medical data, interaction and game technologies, and modelling of 3D content. Our goal is to develop methods to produce virtual worlds and provide
high-quality display solutions efficiently and effectively. We aim for solutions to produce instructive illustrations with real-world applications (e.g., medical visualization, or flooding simulations) and make use of perceptual findings to increase the effectiveness
of the displayed information. Our work is often multi-disciplinary and combines aspects of various fields, such as physics, parallel programming, algorithms, perception, or numerical methods.</div>
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Full details and the application procedure can be found <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=11060&jobTitle=PhD%20position%20Visual%20Analytics%20for%20Fine%20Arts%20Analysis%20and%20Simulation">here</a>.
For any questions you can contact me directly at <a href="mailto:t.hollt-1@tudelft.nl">t.hollt-1@tudelft.nl</a><br>
<font color="#5856d6"><br>
</font>--<br>
Thomas Höllt,<br>
<font color="#5856d6"><br>
</font>Assistant Professor<br>
Computer Graphics and Visualization<br>
<a href="https://graphics.tudelft.nl/">https://graphics.tudelft.nl</a><br>
Department of Intelligent Systems<br>
Faculty of Electrical Engineering, Mathematics and Computer Science<br>
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<div>Delft University of Technology</div>
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