The CCIMI invites applications for fully funded PhD studentships in Mathematics of Information. We held an Open Day on Thursday 15th November where prospective students came along and discovered more about our Cambridge Mathematics of Information (CMI) PhD programme. Further information is available on our website.
CCIMI Fully Funded PhD Studentships in the Mathematics
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 center 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.
More info – CCIMI invitation on Funded PhD Studentships
Both this general advancement of data science, and its applications to specific questions is realised by key mathematical expertise represented in the institute including:
- inverse problems,
- convex analysis,
- sparse optimization
- stochastic analysis
- compressed sensing
- sampling theory
- approximation theory
- random matrices
- harmonic analysis
- partial differential equations
- functional analysis
- quantum computation
- discrete geometry
- 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.
- Applications Deadline: Jan three, 2019
- Course Level: Studentships area unit out there to pursue Doctor of Philosophy programme.
- Study Subject: Studentships area unit awarded in fields of arithmetic of data.
- Scholarship Award: office offers:
- Fully funded Doctor of Philosophy Studentships does embody University Composition Fees and maintenance for the length of your course to match the RCUK minimum level.
- The theme is hospitable candidates from all countries.
- Nationality: The theme is hospitable candidates from all countries.
- Number of Scholarships: ranges not given
- Scholarship may be taken within Britain
Route for application
Apply using the standard PhD application procedure via the University’s Graduate Admissions website.
It is very strongly encouraging that applications are receive(d) by 3rd January 2019.
Shortlisted candidates will be interview(ed) – the date for interviews will be communicated once shortlisting has taken place.
Please contact email@example.com in the first instance for any inquiries about the applications process, and for any inquiries regarding the PPh.D.programme.