We invite applications for PhD studentships at the Cantab Capital Institute for Mathematics of Information based at the Faculty of Mathematics of the University of Cambridge.
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 Cantab Mathematics of Information Institute 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. It is expected that students would be supervised (or in some cases co-supervised) by a member of our faculty, who can be found at www.ccimi.maths.cam.ac.uk/people. Prospective students are encouraged to look into the CCIMI faculty members and their work, and discuss areas of interest with potential supervisors to find or propose PhD projects related to the institute’s work.
Further information on the institute, our activities, events, and some of the projects currently being investigated by students or faculty can be found on our website, linked below.
CCIMI PhD students will belong to the Department of Applied Mathematics and Theoretical Physics (DAMTP) or the Department of Pure Mathematics and Mathematical Statistics (DPMMS), or can be members of the Cambridge Centre for Analysis Doctoral Training Scheme (CCA). Prospective students are again encouraged to discuss this with potential supervisors ahead of their application. The academic requirements are the same as for the relevant Department/Doctoral training scheme. For further details on how to apply for these programmes see the relevant entry in the University Graduate Admissions Course Directory:
- Fully funded PhD Studentships to include University Composition Fees and maintenance for the duration of your course to match the RCUK minimum level.
- The scheme is open to nationals from all countries.
- For selected PhD students there will be the possibility of spending some time of their studies at Cantab Capital Partners, www.cantabcapital.com
Route for application
- Apply using the standard PhD application procedure at either at DAMTP, DPMMS or with the CCA via the University’s Graduate Admissions website; and
- Send an expression of interest letter to email@example.com and firstname.lastname@example.org which explains why you are interested in being a member of the CCIMI.
- Students should apply in line with the deadlines for the relevant department and/or CCA.
- It is very strongly encouraged that DPMMS related applications are received by December 31st, and DAMTP and CCA related applications by 15th January.
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 firstname.lastname@example.org for any enquiries regarding the CCIMI and the PhD programme.