We invite driven and enthusiastic PhD candidates to work in computer network operations and machine learning, 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.
You will perform high-quality research in one or more of the topics related to computer network management leveraging advances in machine learning techniques. Of particular interest to this post is monitoring activities on network traffic in order to identify and forecast network service availability, reliability and performance. Root cause analysis of performance degradation is an important element to drive cognitive capabilities in next generation network architectures, such as Software Defined Networks (SDNs). SDNs may dynamically apply and re-adjust network policies in real-time, incurring minimal impact in the rest of the environment. Other relevant aspects of this post can include capacity planning, resource utilization, and anomaly/ fault detection.
Please, if you are interested, contact the primary supervisor (Dr Kyriakopoulos) for more details and for raising your interest.
Supervisors
Primary supervisor: Dr Konstantinos Kyriakopoulos
Secondary supervisor: Dr Mahsa Derakhshani
Entry requirements for United Kingdom
The successful applicant should have a 1st class or high 2:1 honours (or equivalent) degree in electronic/electrical engineering, computer science or a closely related discipline. An MSc with Distinction is desirable. Strong research abilities with appropriate coding skills are required.
Knowledge of computer network protocols (TCP/IP), experience with machine learning techniques, experience with Python, C or MATLAB programming are desirable. The successful candidate is also expected to be an enthusiastic team player who can work both independently and communicate effectively with others.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Find out more about research degree 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. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
How to apply
All applications should be made online. Under school/department name, select 'Electronic and Electrical Engineering'. Please quote reference UF-KK-2022-2
Apply now
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