|Funding for:||UK Students|
|Funding amount:||£17,668 annual stipend|
|Placed On:||3rd March 2023|
|Closes:||2nd March 2023|
Funding providers: Engineering and Physical Sciences Research Council (EPSRC) DTP
Subject areas: Computer Science
Project start date: 1 July 2023
Aligned programme of study: PhD in Computer Science
Mode of study: Full-time
Dynamic data sets where each element of the data has its own individual timestamp has become more prevalent. Algorithms for drawing temporal networks within the space-time cube (2D + t) have been devised to allow dynamic graphs to be visualised in an event-based way. However, three-dimensional representations of non-spatial information are difficult to navigate. Therefore, interactive systems are necessary to fully understand the graph structure and how it evolves over time.
The student 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 normally 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).
English Language requirements: If applicable – IELTS 6.5 overall (with at least 6.0 in each individual component) or Swansea recognised equivalent.
Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations.
This scholarship covers the full cost of UK tuition fees and an annual stipend of £17,668.
Additional research expenses will also be available
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