Applications are invited for a fully-funded PhD scholarship to undertake research in network science with relevance computer networks.
Network operators continuously collect log data from all devices and running processes that are deemed to be important. Ensuring network and service availability relies on the efficient and effective analysis of collected data so that outages can be quickly identified or predicted. before user experience gets disrupted. Identifying or even predicting network and service outages in modern, large-scale networks is crucial but very challenging. Networks are large, complex, heterogeneous and evolving. They support diverse services that are widely distributed, and also evolving. In the presence of elastic, distributed and migrate-able services, distributed network controllers and virtual network functions, it is extremely challenging to keep track of running services and their functional dependencies. Moreover, new services and network protocols that emit new types of events and logs are constantly added and existing ones are being updated. In addition, the vast majority of collected event data is noise and only a few of them may correlate with actionable incidents. This project is about developing novel mechanisms to identify and predict network incidents and service outages in the presence of change in large scale network deployments.
The research will take place under the umbrella of an active and well-funded collaboration between Prof Luc Berthouze (Complex Systems; AI research group) and Dr George Parisis (Computer Networks; FOSS group) within the Department of Informatics, at the University of Sussex, UK. Interested candidates will also have the opportunity to collaborate with academic and industry partners of the supervisors as well as others. Starting date is flexible.
Eligibility:
Depending on the chosen topic, you will preferably have a first-class honour degree and/or a high 2.1 or equivalent, or an MSc degree (preferably), in Computer Science, Mathematics or Physics (or relevant disciplines). You will have (and enjoy using) strong analytical skills as well as excellent programming skills in at least one of C++, Python, Matlab. You will have a good knowledge of English and be able to express yourself clearly in both written and spoken form.
You will have had a long-standing interest in pursuing doctoral studies, and be enthusiastic about delving into and contributing to the exciting and fast-moving research area that network science is. Ideally, you will have had some experience working across disciplines, perhaps, during a research internship, a final year project or an MSc dissertation. You will have shown the ability to work both as part of a team and independently.
Depending on the nature of your topic, you will have knowledge and experience in at least one of the following fields: graph theory, machine learning, probability theory / stochastic processes, big data analysis. Domains in which you will have applied this knowledge could include (but not be limited to): computer networks, neuroscience, epidemiology, analysis of social media.
Apply:
Apply online for a full time PhD in Informatics using our step by step guide (http://www.sussex.ac.uk/study/phd/apply). Here you will also find details of our entry requirements.
Please clearly state on your application form that you are applying for the 'Identifying network and service outages in the presence of change' Scholarship, to be supervised by Prof. Luc Berthouze and Dr George Parisis.
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