The Computer Graphics and Visualization (CGV) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), TU Delft, invites applications for full-time doctoral candidates in Visualization and Visual Analytics to analyze 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 https://www.thomashollt.com/publications/2022_gch_andra/).
The successful candidate will continue this collaboration with several possible topics, such as the identification of layering structures in paintings, reasoning on the ageing 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 the design of visual representations, the project will provide different opportunities to work on methodological improvements to analyze this data.
An example is the adaptation of dimensionality reduction algorithms for information visualization or improving the acquisition process by (partially) predicting modalities using machine learning methods.
The CGV group investigates realistic, perceptual, and expressive rendering, visualization of scientific and medical data, interaction and game technologies, and modelling of 3D content. We aim 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 use 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.
Full details and the application procedure can be found here. For any questions, you can contact me directly at email@example.com.
Computer Graphics and Visualization
Department of Intelligent Systems
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology