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The use of dynamic data sets, where each component of the data has a unique timestamp, has increased. It is now possible to visualize dynamic graphs in an event-based manner by using algorithms for sketching temporal networks inside the space-time cube (2D + t). The navigation of three-dimensional images of non-spatial data is challenging. In order to completely comprehend the graph structure and how it changes over time, interactive systems are required.
On this program, students will investigate perceptually effective ways for dividing and visualising the space-time cube. The project will start by visualising the contents of this space-time cube with an embedded network drawn with an event-based dynamic graph drawing algorithm. The visualisation methods in this case will focus on visualising the already present structure within the drawing which takes into account both spatial position and time simultaneously. Then, we will explore methods that are able to draw the dynamic graph on demand in the space time cube steered by the user.
- Candidates must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University).
- If applicable – IELTS 6.5 overall (with no individual component below 6.0) or Swansea recognised equivalent.
This scholarship covers the full cost of UK tuition fees and an annual stipend of £17,668.
Additional research expenses will also be available.
How to Apply for Computer Science: Fully Funded EPSRC DTP PHD Scholarship at Swansea University
The application process is provided in full in the link below.
You can apply for using this link: Computer Science: Fully Funded EPSRC DTP PHD Scholarship at Swansea University
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