PhD Studentship in Computer Science Visualization: Event-Based Visualization of Temporal Networks

Award summary

100% Home fees covered and a minimum tax-free annual living allowance of £17,668 (2022-23 UKRI rate)

Overview

Temporal networks, where each edge or node of the graph has its own individual timestamp, has become more prevalent from social media, contact tracing, and cybersecurity. In a social media setting, we would like to understand patterns in the posting behaviour across time and space. In a contact tracing scenario, we want to understand how a disease spreads in an epidemiological context and what policies are effective against it. In a cybersecurity scenario we may want to understand normal and abnormal connections patterns to a system. In all cases, understanding and visualizing temporal networks is critical.

Algorithms for drawing temporal networks within the space-time cube (2D + t) have recently been devised to allow dynamic graphs to be visualised in an event-based way. However, it is well known that three dimensional representations are difficult to navigate and visualisations such as animation are not as perceptually effective for many tasks. This PhD studentship will investigate novel ways of interacting with and visualizing layouts of temporal networks in the space-time cube. We will look at creating technical visualisation methods that are effective for visualising layouts in the space-time cube and methods for evaluating such approaches.

Number of awards: 1

Start date: September 2023 or January 2024

Award duration: 3.5 years

Sponsor

School of Computing, Newcastle University

Supervisors

Professor Daniel Archambault 

Eligibility criteria

You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project which is computer science.

Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills.

The studentship covers fees at Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome to apply but will be required to cover the difference between Home and International fees.

International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme.

How to apply

You must apply through the University’s Apply to Newcastle Portal

Once registered select ‘Create a Postgraduate Application’.

Use ‘Course Search’ to identify your programme of study:

• Search for the ‘Course Title’ using the programme code: 8050F
• Research Area: Computing Science
• Select PhD Computer Science as the programme of study

You will then need to provide the following information in the ‘Further Questions’ section:

• A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to the application form.
• The studentship code COMP2144 in the ‘Studentship/Partnership Reference’ field.
• When prompted regarding your research proposal - select ‘Write Proposal’. You should then type in the title of the research project from this advert. You do not need to upload a research proposal.

Contact details

For further details about the studentship, please contact the supervisor, Professor Daniel Archambault or Dr Sara Fernstad, Director of Postgraduate Research

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