PhD Studentship at the Intersection of Optimisation, Machine Learning and Network Science

This fully-funded PhD studentship is offered by Imperial College London's Department of Electrical and Electronic Engineering. The position focuses on developing algorithms that enable provable and efficient learning across various challenging environments. Research areas include distributed, federated, or decentralised learning for multi-agent systems; optimisation for machine learning; robust, privacy- or communication-constrained learning; multi-task and meta-learning; and statistical or information-theoretic concepts for distributed learning. The studentship covers full tuition fees at either Home or Overseas level, plus a tax-free annual stipend. Students will receive additional support for research expenses including attendance at international conferences. The position offers flexible start dates no later than Autumn 2023, with applications considered on a rolling basis.