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Details of Grant 

EPSRC Reference: EP/L015803/1
Title: EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling
Principal Investigator: Breward, Professor C
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Amazon Web Services (Not UK) Amec Foster Wheeler UK BP
BT Camlin Ltd Computational Dynamics Limited
Culham Centre for Fusion Energy Dunnhumby Dupont
e-Therapeutics Plc Elkem GE (General Electric Company)
HSBC IBM UK Ltd Infineum UK Ltd
Lein Applied Diagnostics Ltd Leonardo UK ltd Lloyds TSB Scotland
Mondelez UK R and D Ltd Nestle Foundation Numerical Algorithms Group Ltd (NAG) UK
nVIDIA Oxford Instruments Plc PA Consulting Group
Pall Europe Ltd Saint-Gobain (International) Schlumberger
Sharp Laboratories of Europe Ltd Siemens Smith Institute
Solitonik Teknova AS Tessella
Thales Ltd VerdErg Renewable Energy Limited Vodafone
Department: Mathematical Institute
Organisation: University of Oxford
Scheme: Centre for Doctoral Training
Starts: 01 April 2014 Ends: 30 September 2023 Value (£): 4,301,830
EPSRC Research Topic Classifications:
Continuum Mechanics Numerical Analysis
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Chemicals
Electronics Financial Services
Healthcare Energy
Retail Information Technologies
Related Grants:
Panel History:
Panel DatePanel NameOutcome
23 Oct 2013 EPSRC CDT 2013 Interviews Panel D Announced
Summary on Grant Application Form
This Centre for Doctoral training in Industrially Focused Mathematical Modelling will train the next generation of applied mathematicians to fill critical roles in industry and academia. Complex industrial problems can often be addressed, understood, and mitigated by applying modern quantitative methods. To effectively and efficiently apply these techniques requires talented mathematicians with well-practised problem-solving skills. They need to have a very strong grasp of the mathematical approaches that might need to be brought to bear, have a breadth of understanding of how to convert complex practical problems into relevant abstract mathematical forms, have knowledge and skills to solve the resulting mathematical problems efficiently and accurately, and have a wide experience of how to communicate and interact in a multidisciplinary environment.

This CDT has been designed by academics in close collaboration with industrialists from many different sectors. Our 35 current CDT industrial partners cover the sectors of: consumer products (Sharp), defence (Selex, Thales), communications (BT, Vodafone), energy (Amec, BP, Camlin, Culham, DuPont, GE Energy, Infineum, Schlumberger x2, VerdErg), filtration (Pall Corp), finance (HSBC, Lloyds TSB), food and beverage (Nestle, Mondelez), healthcare (e-therapeutics, Lein Applied Diagnostics, Oxford Instruments, Siemens, Solitonik), manufacturing (Elkem, Saint Gobain), retail (dunnhumby), and software (Amazon, cd-adapco, IBM, NAG, NVIDIA), along with two consultancy companies (PA Consulting, Tessella) and we are in active discussion with other companies to grow our partner base. Our partners have five key roles: (i) they help guide and steer the centre by participating in an Industrial Engagement Committee, (ii) they deliver a substantial elements of the training and provide a broad exposure for the cohorts, (iii) they provide current challenges for our students to tackle for their doctoral research, iv) they give a very wide experience and perspective of possible applications and sectors thereby making the students highly flexible and extremely attractive to employers, and v) they provide significant funding for the CDT activities.

Each cohort will learn how to apply appropriate mathematical techniques to a wide range of industrial problems in a highly interactive environment. In year one, the students will be trained in mathematical skills spanning continuum and discrete modelling, and scientific computing, closely integrated with practical applications and problem solving. The experience of addressing industrial problems and understanding their context will be further enhanced by periods where our partners will deliver a broad range of relevant material. Students will undertake two industrially focused mini-projects, one from an academic perspective and the other immersed in a partner organisation. Each student will then embark on their doctoral research project which will allow them to hone their skills and techniques while tackling a practical industrial challenge.

The resulting doctoral students will be highly sought after; by industry for their flexible and quantitative abilities that will help them gain a competitive edge, and by universities to allow cutting-edge mathematical research to be motivated by practical problems and be readily exploitable.

Key Findings
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Potential use in non-academic contexts
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Date Materialised
Sectors submitted by the Researcher
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Further Information:  
Organisation Website: http://www.ox.ac.uk