- Mscphd Studentships

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2013-12-13 02:00:29

Msc+PhD Studentships

Deadline

Value of Scholarship

Level of Study

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Renewable

Funded 1+3 PhD Opportunities for Graduates in the MathSys Centre at the University of Warwick

MathSys is dedicated to training how to tackle real-world problems of highly connected systems in industry, health and finance by developing new mathematics. We seek high calibre students with a mathematical and practical motivation, and should hold or expect to receive a first class degree in an analytical subject

For more information visit http://www.warwick.ac.uk/mathsys

Applicants are encouraged to submit an online application before the end of April 2014. Later applications may be considered.

MathSys is a new Centre for Doctoral Training funded byÂ the EPSRC and with support fromÂ the BBSRC external partners and the University of Warwick. It is dedicated to tackling real-world problems that require the development of novel mathematics. The Centre and its students will interact with a range of external partners from industry, finance and health, who represent some of the leading establishments in the UK. It is our belief that modern mathematics and statistics are a core building block for tackling many of the global challenges facing society and that there is a rapidly increasing demand for researchers with the mathematical skills needed.

MathSys unites Warwick mathematicians in three existing centres that have excellent records of world-leading research involving application of mathematics to real-world problems: theÂ Centre for Complexity Science, Warwick Systems Biology and Warwick Infectious Disease Epidemiology ResearchÂ (WIDER) centre.

Our aim is to develop the new generation of researchers needed to tackle key challenges facing science, business and society, particularly where these involve complex, nonlinear, uncertain and stochastic systems. These new researchers will be trained to think broadly and combine cutting-edge mathematical skills with the ability to understand and model real-world systems, analyse complex data sets, work well in multidisciplinary teams and be excellent communicators.

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