Network Security in Software Defined Networks PhD

Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
3 years
Reference number:
Start date:
October 2018
UK/EU fees:
International fees:
Application deadline:
June 2018



in the UK for Research Quality

(REF 2014)


in the UK for Mechanical Engineering

The Complete University Guide 2018


of 2 Queen's Anniversary Prizes


Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. 

Project Detail

We invite applications for a 3-year PhD Studentship to work in computer networks and network security, in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University. The successful applicant will join the Signal Processing and Networks Research Group, under the supervision of Dr. Konstantinos Kyriakopoulos. 

The successful applicant will perform high-quality research in one or more of the topics related to computer networks and network security. Therefore, a strong background in computer network communications is essential. A core element of this project will be advanced network attacks and OpenFlow. Of particular research interest to this post is pattern recognition for advanced network attacks, machine learning and statistical algorithms for anomaly-based intrusion detection, network traffic measurements and intelligent data fusion, distributed algorithms, network architecture vulnerability exploration. Please, if you are interested, contact the primary supervisor (Dr. Kyriakopoulos) for more details and for raising your interest.


Primary supervisor:  Dr. Konstantinos Kyriakopoulos

Secondary supervisor:   Prof. Sangarapillai Lambotharan

Find out more

Entry requirements

Applicants should have, or expect to achieve:

  • at least a 2:1 Honours degree (or equivalent) in Telecommunications or a related subject
  • a relevant Master’s degree and/or experience in one or more of the following will be an advantage: Computer Networks, Network Security, Data Science, Signal Processing

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

Distance Learners pay for the modules they study each year, on a cost per credit basis, over the duration of their course. MSc study involves 180 credits of study and for 2018/19 the cost of each credit is set at £52.77 (UK/EU fee) £116.66 (International fee). For example a 15-credit module in 2018-19 will cost £791.55 and the for the 60 credit research dissertation will cost £3,166.20, for a UK/EU student.
Please note, tuition fees are subject to inflation and therefore, tuition fees can increase year-on-year which will alter the total cost of the MSc.

This is an open call for candidates who are sponsored or who have their own funding.

If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for funding opportunities which may become available in the School.  

How to apply

All applications should be made online. Under programme name, select Wolfson School of Mechanical, Electrical and Manufacturing Engineering

Please quote reference number: KK260917

Application details

Please quote reference number KK260917 

Application deadline: 01 October 2018
Reference number: KK260917
Preferred start date: April 2019