£16062 Fully funded computer ScienceEPSRC DTP PhD scholarship 2022-2023. Dynamic data sets where each element of the data has its own individual timestamp have 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.
Eligibility
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). See – Country-specific Information for European Applicants 2019 and Country-specific Information for International Applicants 2019.
English Language Requirements: If applicable – IELTS 6.5 overall (with no individual component below 6.0) or Swansea recognised equivalent. Details on the Swansea University English Language entry policy can be found here.
This scholarship is open to candidates of any nationality. Please note, that there is an International quota for all UKRI-funded scholarships. If the quota has been reached by the closing date, please note you may no longer be eligible for this scholarship.
NB: If you are holding a non-UK degree, please see Swansea University degree comparisons to find out if you meet the eligibility.
If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web link to the scholarship(s) you are interested in.
Funding
This scholarship covers the full cost of tuition fees and an annual stipend of £16,062.
Additional research expenses will also be available.
How to Apply for the £16062 Fully funded computer ScienceEPSRC DTP PhD scholarship 2022-2023
To apply, please complete your application online with the following information:
- Course choice – please select Computer Science / PhD / Full-time / 3 Year / January. In the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.
- Start year – please select 2023
- Funding (page 8) –
- ‘Are you funding your studies yourself?’ – please select No
- ‘Name of Individual or organisation providing funds for study’ – please enter ‘RS151 – PhD Comp Sci’‘
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University-led research scholarship award; applications cannot be considered listing multiple Swansea University-led research scholarship awards.
As part of your online application, you MUST upload the following documents (please do not send these via email):
- Equality, Diversity and Inclusion (EDI) Monitoring Form (online form)
- CV
- Degree certificates and transcripts (if you are currently studying for a degree, screenshots of your grades to date are sufficient)
- A cover letter including a ‘Supplementary Personal Statement’ to explain why the position particularly matches your skills and experience and how you choose to develop the project.
- Two references (academic or previous employer) on the headed paper or using the Swansea University reference form. Please note that we are not able to accept references received citing private email accounts, e.g. Hotmail. Referees should cite their employment email addresses for verification of reference.
- Evidence of meeting English Language requirements (if applicable).
- Copy of UK resident visa (if applicable)
Informal enquiries are welcome, please contact Dr Daniel Archambault (d.w.archambault@swansea.ac.uk).
*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co-funding of a scholarship project is applicable.
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