Prediction and Control of Connected Vehicle Network

Director of Studies: Dr Asiya Khan

Second Supervisor: Dr Sanjay Sharma

Additional supervisors: Dr Giovanni Masala

Applications are invited for a three year PhD studentship. The studentship will start on 1 October 2018.

Project description

Automobiles are currently undergoing a revolution just like mobile phones did ten years ago. Future automobile will be expected to communicate with other cars – vehicle-2-vehicle (V2V), with infrastructure/roadside sensors/pedestrians/cyclists/ anything else (V2x). The vision of smart cities includes connected vehicles amongst many other things. It is envisaged that 25 million ‘things’ will be connected by the year 2020. Connected vehicles offer a very promising solution to improve road safety and congestion.

The aim of this project will be to develop novel intelligent models for the connected vehicle network by combining Software Defined Networking (SDN) paradigm with the vehicular networks. Further, to develop control algorithms based on intelligent control to guarantee Quality of Service at an acceptable level for V2V and V2x communication type. In a vehicular network, each vehicle is regarded as a communication unit. The system will be simulated in network simulator 3 (ns3) and MATLAB. Sumo will be used to generate the traffic, the data files integrated with MATLAB for analysis and modelling. This studentship will suit someone with a background in programming.

The successful student will form part of a multidisciplinary team under the supervision of Dr Asiya Khan based in the Autonomous Marine Systems Research group in the School of Engineering.


Applicants should have (at least) a first or upper second class honours degree in an appropriate subject and preferably a relevant MSc or MRes qualification.

The studentship is supported for three years and includes full Home/EU tuition fees plus a stipend of £14,777 per annum. The studentship will only fully fund those applicants who are eligible for Home/EU fees with relevant qualifications. Applicants normally required to cover overseas fees will be required to cover the difference between the Home/EU and the overseas tuition fee rates (approximately £10,350 per annum).

If you wish to discuss this project further informally, please contact Dr Asiya Khan.  However, applications must be made in accordance with the details shown below.

General information about applying for a research degree at the University is available at:

Please apply via the online application form which can be found at: and select ‘Apply’.

Please mark it FAO Aimee McNeillie, clearly stating that you are applying for a PhD studentship within the School of Engineering. Please attach a covering letter detailing your suitability for the studentship, a CV and two academic references.

For more information on the admissions process, please contact Aimee McNeillie.

The closing date for applications is 12 noon, 9 April 2018. 

Shortlisted candidates will be invited for interview week beginning 30 April. We regret that we may not be able to respond to all applications. Applicants who have not received an offer by end of April should consider their application has been unsuccessful.