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| Application Deadline: | Not fixed | ||
| Location: | Bristol / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | Anytime |
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| Languages: | English | ||
Location of University of Bristol
The Department of Mathematics provides postgraduates with a vibrant and stimulating place to work. During your study programme, you will not only develop your mathematical skills and competencies, but will also have the opportunity to collaborate and interact with internationally leading researchers and to apply your results across a range of academic disciplines.
The Department of Mathematics is one of the largest departments in the Science Faculty with about 55 members of academic staff, 30 research assistants and 70 postgraduate students. It undertakes research in a wide range of areas in Applied Mathematics, Pure Mathematics and Statistics, and has an international reputation for excellence. In the 2008 Research Assessment Exercise, all of the research groups were highly ranked; the Applied Mathematics group was rated third in the UK, the Statistics group joint fourth and the Pure Mathematics group joint fifth.
The Department has collaborative research programmes with a number of other Departments, including Biological Sciences, Earth Sciences, Computer Science and Physics, as well as a range of projects in collaboration with the Medical School. It is involved with University Research Centres in Behavioural Biology and in Environmental and Geophysical Flows; and it has close links with a number of external research institutions such as Hewlett-Packard, QinetiQ, Unilever, Barclays Bank, the Government Communications Headquarters and National Air Traffic Services. Aditionally, there have been several new research initiatives, in which mathematics is playing a central role. These include number theory (Heilbronn Institute for Mathematical Research), complexity science (Bristol Centre for Complexity Science), Nanoscience (Centre for Nanoscience and Quantum Information), and high performance computing (Advanced Computing Research Centre).
We recruit postgraduate students to PhD projects in subject areas spanning mathematics and statistics - please see the staff list below and our departmental website for details of some of the subjects offered. It is also possible to study for a one-year M.Sc. by research in Applied Mathematics, Pure Mathematics or in an interdisciplinary programme on Natural Hazards. In addition we have two new initiatives for postgraduate training in mathematics, both of which feature a one-year, taught MRes degree, followed by a three-year PhD. These opportunities are in statistics as part of the SuSTAIn initiative (Statistics underpinning Science, Technology and Industry), which provides broad statistical training to address the challenges posed by modern science and technology, and in Complexity Sciences, which provides highly interdisciplinary training and research across science, engineering and mathematics.
Contents
Research GroupsThere is a wide range of research conducted in the Department, spanning many of the conventional boundaries between disciplines. Potential applicants are encouraged to consult the departmental website for detailed accounts of the research themes, but broadly there are three subject groups:
In Pure Mathematics research is formed around the general topics of number theory, analysis and partial differential equations, representation theory, noncommunicative geometry and topology, and logic and set theory.
In Applied Mathematics research is concentrated in the areas of nonlinear dynamics, quantum chaos, classical and semi-classical asymptotics, random matrix theory, quantum computation and quantum information theory, fluid mechanics, geophysical fluid dynamics, wave propagation and numerical analysis.
The main research areas within Statistics and Probability are applied probability, Bayesian modelling and analysis, behavioural biology, multiscale methods, Monte Carlo methods, nonparametric regression, optimisation under uncertainty, statistical bioinformatics, statistical signal processing and the analysis of time series.
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Entry requirements
Normally a good undergraduate degree in a relevant subject, at a level equivalent to a first or upper second class UK degree.
Language requirements
An IELTS score of 6.0. We also accept other language tests; please see our website for details.
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