The CCIMI invites applications for fully funded PhD studentships in Mathematics of Information. We will be holding an open afternoon on Thursday 15th November and prospective students are encouraged to come along to find out more about our Cambridge Mathematics of Information (CMI) PhD programme. For further information on the open afternoon, and to register please visit the website.
The advance of data science and the solution of big data questions heavily relies on fundamental mathematical techniques and in particular, their intra-disciplinary engagement. This is at the heart of the centre for the Mathematics of Information which involves mathematical expertise ranging from statistics, applied & computational analysis, to topology and discrete geometry – all with the common goal of advancing data science questions.
Alongside this, specific questions which feed into fundamental methodology development arise naturally in applications we focus on in interdisciplinary engagements with, for instance, economists and social scientists on questions about financial markets and the internet, with physicists and engineers on software and hardware development questions in the context of security, imaging and structured data processing, as well as biomedical scientists on data science in healthcare and biology.
Both this general advancement of data science, and its applications to specific questions is realised by key mathematical expertise represented in the institute including statistics, analysis, inverse problems, convex analysis, stochastic and sparse optimisation, stochastic analysis and probability, sparsity, compressed sensing, sampling theory, approximation theory, random matrices, harmonic analysis, partial differential equations, functional analysis, quantum computation, discrete geometry, topology and graph theory.
We welcome applications for studentships relating to projects and subject areas covering all aspects of the broad field of mathematics of information. Further information on some of the projects currently being investigated by students and faculty can be found on our website, linked here.
The academic requirements for entry to this PhD are a first-class honours degree, awarded after a four-year course in mathematics or related subject, or a three-year degree with a one-year postgradute course on advanced mathematics or related subject. For further details on how to apply for this programme see the relevant entry on the website.
Fully funded PhD Studentships do include University Composition Fees and maintenance for the duration of your course to match the RCUK minimum level. The scheme is open to applicants from all countries.
Route for application
Apply using the standard PhD application procedure via the University’s Graduate Admissions website.
It is very strongly encouraged that applications are received by 3rd January 2019.
Shortlisted candidates will be interviewed – the date for interviews will be communicated once shortlisting has taken place.
Please contact email@example.com in the first instance for any enquiries about the applications process, and for any enquiries regarding the PhD programme.