
Solitonik
Solitonik
1 Projects, page 1 of 1
assignment_turned_in Project2014 - 2023Partners:AMEC NUCLEAR UK LIMITED, Dunnhumby, Smith Institute, Computational Dynamics Limited, CFD +96 partnersAMEC NUCLEAR UK LIMITED,Dunnhumby,Smith Institute,Computational Dynamics Limited,CFD,Amazon (United States),Vodafone (United Kingdom),NAG,IBM UNITED KINGDOM LIMITED,Thales (United Kingdom),Nestlé Foundation,Mondelez UK R and D Ltd,General Electric (United Kingdom),Solitonik,AMEC NUCLEAR UK LIMITED,Thales UK Ltd,Teknova,e-Therapeutics plc,Siemens plc (UK),Amazon Web Services, Inc.,IBM (United Kingdom),Lloyds TSB Scotland,DuPont (UK) Ltd,Schlumberger (France),Mondelez International Limited,University of Oxford,Numerical Algorithms Group (United Kingdom),Camlin Ltd,Saint-Gobain (International),Schlumberger Group,Culham Centre for Fusion Energy,HSBC BANK PLC,Sharp Laboratories of Europe (United Kingdom),PA Consulting Group,IBM (United Kingdom),CCFE,THALES UK,CCFE,GE (General Electric Company) UK,HSBC BANK PLC,Pall Corporation (United Kingdom),IBM (United Kingdom),Nestlé Foundation,Numerical Algorithms Group Ltd (NAG) UK,PEL,nVIDIA,BT Research,Amec Foster Wheeler UK,BP (United States),BP British Petroleum,CD-adapco (United Kingdom),e-Therapeutics plc,THALES UK,BP British Petroleum,ELKEM,Vodafone Group Services Ltd,Schlumberger Oilfield UK Plc,Infineum UK,Saint-Gobain (International),BT Laboratories,SIEMENS PLC,Selex-ES Ltd,Solitonik,Dunnhumby,PA Consulting Group,Leonardo (United Kingdom),Nvidia (United States),Tessella,Camlin Ltd,Teknova AS,Elkem (Norway),Selex ES Ltd,Oxford Instruments (United Kingdom),Saint-Gobain (France),Amazon Web Services, Inc.,VODAFONE,Lloyds TSB Scotland,HSBC Bank Plc,DuPont (UK) Ltd,Schlumberger Group,Infineum UK,VerdErg Renewable Energy Limited,HSBC Holdings,Infineum (United Kingdom),Schlumberger Oilfield UK Plc,Oxford Instruments (United Kingdom),DuPont (United Kingdom),Tessella,SIEMENS PLC,Lein Applied Diagnostics (United Kingdom),PEL,VerdErg Renewable Energy Limited,Oxford Instruments (United Kingdom),DuPont (UK) Ltd,NAG,Smith Institute,GE (General Electric Company) UK,e-Therapeutics (United Kingdom),Sharp Laboratories of Europe (United Kingdom),Lein Applied Diagnostics Ltd,VODAFONEFunder: UK Research and Innovation Project Code: EP/L015803/1Funder Contribution: 4,296,090 GBPThis 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.
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