Funding: Funded PhD Project (UK and EU students only)

Project code: COMP4520220

Department:  School of Computing

Start dates: October 2020

Closing date: 23 February 2020

Applications are invited for a 3-year PhD to commence in October 2020.

The Project

The PhD will be based in the Faculty of Technology, and will be supervised by Dr Fudong Li, Dr Stavros Shiaeles and Dr Nick Savage.

Candidates applying for this project may be eligible to compete for one of a small number of bursaries available; these cover tuition fees at the UK/EU rate for three years and a stipend in line with the UKRI rate (£15,009 for 2019/2020). Bursary recipients may be eligible for £1,500 for project costs/consumables.

The work on this project will:

  • Conduct a comprehensive literature view on the topic of user profiling through network activities
  • Collect a dataset which contains users’ network activities via both encrypted and non encrypted channels
  • Undertake an experimental study on the collected dataset with the aim of network profiling individual users by utilising deep learning techniques
  • Develop and evaluate a novel user identification framework via their network activities profiles that will utilise the Blockchain technology

Entry requirements

General admissions criteria

You’ll need an upper second class honours degree from an internationally recognised university or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications.  English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

You should have knowledge of programming (ideally python),  deep learning/machine learning, Blockchain, networking protocols such as TCP/IP or UDP, Linux OS and biometrics.

Find out more about the project, the Supervisors and how to apply

Funding Information

Funding applies to:

Funded PhD Project (UK and EU students only)

Application Deadline:

23 February 2020

Please see our website for how to apply:
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