Wireless Network Security in Connected and Autonomous Vehicles

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 Graduate School, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Project Detail:
Communication technologies for Connected and Autonomous Vehicles (AV) are expected to become a transformative technology that offers Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2X) communication capabilities that will lead to significant improvements on road safety, traffic efficiency, driver assistance and comfort.

This project will build and expand on existing research activities on Intrusion Detection within the Signal Processing and Networks research group at Loughborough University and would aim to identify security risks in vehicular wireless networks and develop methods for their mitigation.

The ideal student would have an interest in Wireless communications protocols, Linux configuration, Machine Learning algorithms, Intrusion Detection.

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 may be considered for funding opportunities which may become available in the School.

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.

Contact details:
Name: Dr Konstantinos Kyriakopoulos
Email address: [Email Address Removed]
Telephone number: 01509227542

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Please quote the reference ‘KKSF022017’ on all correspondence and especially on the application form. Please ensure that you select ‘Electronic, Electrical and Systems Engineering’ under programme name on the application form.

Application details:
Reference number: KKSF022017

Supervisors:
Primary supervisor: Dr. Konstantinos Kyriakopoulos
Secondary supervisor: Prof. Lambotharan Sangarapillai