PhD Studentship: A Takagi-Sugeno Fuzzy Deep Convolutional Neural Network Using a Nature-Inspired Optimal Tuning Method for Traceablility Chain Decision in Mutually Distributed Ledger System

Bournemouth University - Faculty of Science & Technology

Lead Supervisor name: Simant Prakoonwit.

The interest in mutual distributed ledgers, decentralised transaction and data management technology, such as Blockchain, has been rapidly increasing since the concept was invented in 2008 due to its salient attributes which are delivering data integrity, anonymity and security without any third party in control of the transactions. According to a European Parliament’s report, the technology has an immense potential and could change the lives of many. Apart from financial tasks, Blockchain technology can be used in many other government and business applications, e.g. casting votes in elections, proving that a document/transaction existed at a specific time, supply chain management, self-executing/smart contracts.

The technology consists of an ever-growing set of data blocks. Each block records a collection of transactions. When a new transaction is declared, it is broadcast to all nodes in the chain. The process of establish a block into Blockchain, so it cannot be altered or tampered with, is called mining. However, the mining process still has drawbacks. It is computational intensive requiring huge resources and computational time. Many consensus algorithms have been applied in the process. It has been demonstrated that using traceability chain is a more effective method. In traceability chain, since the mechanism has to trace related information among participant’s nodes across the entire chain, the extraction and recognition of the data features plays a crucial role in improving the efficiency of the process.

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.

Eligibility criteria

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:

  • Outstanding academic potential as measured by either a 1st class honours degree or a Master’s degree with distinction or equivalent Grade Point Average (GPA);
  • IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component) for candidates for whom English is not their first language.

Additional eligibility criteria:

  • a 1st class honour degree or a Master's degree with distinction or equivalent in computer science, engineering or related disciplines;
  • computer programming knowledge and skill: data structures, MVC MVVM PUb-Sub, OOP / PHP Symfony 4(Must), Angular J.

Closing date: The first call for applications will be 1 July 2018.

For further information on how to apply click the ‘Apply’ button below, or email

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