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EPSRC - Engineering and Physical Sciences Research Council

EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling

Oxford University’s Mathematical Institute has a long tradition of mathematical modelling and scientific computing

EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling

https://www.maths.ox.ac.uk/infomm

4 year doctoral course. If you are an outstanding student who wants to expand your mathematical knowledge and are excited by the prospect of learning how to apply your talents to Industry problems, then this is the course for you. You will be taught and supervised by research staff at the Mathematical Institute and work in close collaboration with our company partners.

  • You should have, or expect to have, a top degree in mathematics or other theoretical subject (an MSc, a first class undergraduate degree, or overseas equivalent).
  • You should be self-motivated with good interpersonal skills and want to work in an interdisciplinary and interactive environment.
  • Background and training structure

    Oxford University’s Mathematical Institute has a long tradition of mathematical modelling and scientific computing and these underpin the CDT training.

    This four-year doctoral degree builds on that tradition with an intensive first year of training with courses in mathematical modelling, scientific computing, continuum methods, and discrete methods alongside a range of short courses that provide insight into industrial challenges and methodologies.

    Two 10-week mini-projects will be undertaken focused on particular industrial problems with at least one involving an internship at one of our partners.

    A mathematical research project focused on, and motivated by, a company challenge will be undertaken for the final three years. Research topics will include: differential equations, asymptotic methods, numerical analysis and scientific computing, fluid and solid mechanics, discrete mathematics, applied mathematical finance, and data analytics.

Twelve fully funded doctoral studentships available for October 2017 start

Company partners

The CDT has a large portfolio of partner companies who are central to the design, delivery and support of all our activities. The current list of partners are:

Accelogress, Amazon, AMEC, Arup, ATDBio, BBOXX, Boston Scientific, BP, BT, Camlin, CD Adapco, Culham Centre for Fusion Energy, dunnhumby, DuPont, Elkem, Eramet, e-Therapeutics, GE Energy, Government Decontamination Service, HR Wallingford, HSBC, IBM, Infineum, Jacobs Douwe Egberts, Lein Applied Diagnostics, Lloyds Banking Group, London Computational Solutions, Mondelez, NAG, Nestlé, Nexeon, Nielsen, NPL, NVIDIA, Oxford Instruments, PA Consulting, Pall Corporation, PDS, Roxar, Saint Gobain, Schlumberger, Schott AG, Selex ES, SharkNinja, Sharp, Siemens, Siemens, Simula Research Laboratory, Smith Institute, STFC, TapTools, Teknova, Tesco, Tessella, Thales, Tokamak Energy, USACE, VerdErg, Vodafone and Worldremit.

Studentship nationality requirements

Four of our studentships can be awarded to successful applicants regardless of nationality. The remaining studentships are restricted to UK/EU nationals. Full details are given on our website.

How to apply for the course

Candidates should apply through the Oxford postgraduate admissions system. Deadlines are 12 noon UK time (midday) on:

  • Friday 18 November 2016
  • Friday 20 January 2017
  • Friday 10 March 2017

Applications will remain open until all spaces are filled.

For more information about the CDT and for a guide to the application process, please visit:

www.maths.ox.ac.uk/infomm

Email enquiries:[email protected]


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