Understanding the structure and function of networks is central to our understanding of complex systems. This project will work on the development of both models and inference techniques for the principled statistical analysis of large-scale complex networks.
Data may be drawn from a variety of domains, such as epidemiology, ecology, neuroscience, economics, and the social sciences. Likewise, methods will be drawn from across statistics, machine learning, physics, and applied mathematics. The goal will be to create algorithms to analyse disparate systems, along with an understanding of their theoretical limits.
Applicants should have (or expect to obtain by the start date) at least a high 2:1 honours degree in engineering, physics, computer science, mathematics, or a related subject.
Students with an interest in networks and complex systems and with training in any quantitative subject are encouraged to apply.
EPSRC DTP studentships are fully-funded (fees and maintenance) for eligible UK students. EU and international students may be considered for a small number of awards at the UK rate. Full eligibility criteria can be found via the following link; https: // www. postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status
Applications should be submitted via the University of Cambridge Applicant Portal https: // www. postgraduate.study.cam.ac.uk/courses/directory/egegpdpeg/finance, with Dr George Cantwell identified as the potential supervisor.
Interviews will be held in two rounds, with the first at the end of February.
Applications will close early if the position is filled before the advertised date.
For further details, contact Dr George Cantwell at [email protected]
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.Department/Location
Department of Engineering, CambridgeReference
24 January 2024Closing date
23 February 2024