Fully-Funded PhD Studentship At University Of Sussex

Applications are invited for a fully-funded 3-year PhD studentship to develop new methods for tackling the computational complexity involved in dealing with very large dynamic networks. A particular domain of application for this studentship will be the monitoring and predicting of failures in large-scale dynamic networks (e.g., hundreds of thousands of nodes). The work will involve the design and implementation of optimised algorithms for the analysis of dynamic networks and the monitoring and prediction of important events. Drawing on real networks data, the research will seek to take into account the various timescales involved, i.e., events taking place on the network and changes in the network. It is expected that traditional network analysis techniques and probabilistic models on network will need to be used in tandem in order to achieve the desired results. Applications are invited from individuals with a very strong Bachelor’s or Master’s degree in Computer Science, Mathematics or Physics, and an interest in theoretical computer science (algorithms, complexity, optimisation), network theory and time series analysis. Preference will be given to applicants who can demonstrate expertise in algorithmic optimisation. Strong programming skills in at least one of C/C++/Java/Matlab/Python are essential.