We are currently advertising a number of fully-funded PhD studentships in the broader areas of computer network management and protocols with a focus on machine learning (e.g. automated network management by exploiting inferred functional and causal dependencies, machine-learned congestion control and routing policies with reinforcement learning) and information-theoretical approaches (e.g. RaptorQ coding for efficient data transport). See here for more details.