|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£14,777 maintenance grant per annum|
|Placed On:||11th January 2019|
|Closes:||31st January 2019|
Lead Supervisor name: Dr Simant Prakoonwit
Visualisation is an effective way of gaining insights into different types of data. In many cases, users still have to derive insights by interpreting the data visual clues presented by a visualisation system.
The interest in mutual distributed technology, such as Blockchain network, has been rapidly increasing. According to a European Parliament’s report, the technology has an immense potential and could change the lives of many. Such network generates a large amount of data with unique characteristics. This is an example of Big Data and normally a straightforward visualisation is not very effective.
With sequences of transactions and associations, graph visualisation is suitable for this type of data. However, due to the large size of the full transaction graphs, any visualisation effort has to compromise between which subset of data to visualise and how to suppress unnecessary details. Therefore, in this project we propose a new visualisation system to address those drawbacks.
At present, virtual reality has been widely used. Head mounted displays (HMDs) produce the feeling of actually being immersed in the virtual world. It allows users to effectively explore complicated blockchain network graphs, etc., without having to project them into 2D display. In summary, the aims and objectives of the project are:
The overall aim of the project is to develop a novel machine learning assisted immersive visualisation system for mutually distributed ledger network
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £14,777 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
The PhD Studentships are open to UK, EU and International students. Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
Additional Eligibility Criteria:
- The ideal candidate should have either a 1st class honours degree or a Master’s degree with distinction or equivalent in computer science, engineering or related disciplines.
- Essential: computer programming knowledge and skills.
- Desirable: willingness to learn new different software tools, digital marketing, PHP, Symfony, Codegnitor or any other PHP framework.
Closing date: The first call for applications will be 31 January 2019
For further information on how to apply click the ‘Apply’ button below or email firstname.lastname@example.org
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