Engineering MathematicsFind a programme
|Run by||Faculty of Engineering|
|Programme length||PhD: Three years full-time; six years part-time, then one further year to write up.|
|Location of programme||Clifton campus|
|Part-time study available||Yes|
|Open to international students||Yes|
|Number of places||Not fixed|
|Start date||Not fixed|
Members of the Department of Engineering Mathematics carry out cutting-edge research in areas where mathematics is being applied to future challenges in engineering, industry and the life sciences. The department also makes fundamental theoretical and computational advances. There is a strong tradition of interdisciplinary work, international collaboration and publication in leading research journals.
The research is supported by grants from public bodies, such as the Engineering and Physical Sciences Research Council, the Biotechnology and Biological Sciences Research Council, the Medical Research Council and the European Union, as well as from local government, national government and industry.
Fees for 2017/18
Fees quoted are provisional, per annum and subject to annual increase.
University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.
Funding for 2017/18
A number of funded studentships are available each year, supported by research council, industrial, University or other funds. Check the faculty website for a list of currently available funded projects or check www.jobs.ac.uk. Self-funded or sponsored students are also very welcome to apply.
Further information on funding for prospective UK, EU and international postgraduate students.
An upper second-class honours degree (or international equivalent) in a relevant discipline.
See international equivalent qualifications on the International Office website.
|Application method||Online application form|
|English language requirements||
Further information about English language requirements
|Admissions statement||Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.|
The Applied Nonlinear Mathematics Group is firmly rooted in a culture of solving real-world problems. Applications include traffic flow, optical devices, novel materials, aircraft dynamics, rotating machinery, epilepsy biomechanics and electrical networks. The group also undertakes fundamental research in areas such as local and global bifurcation theory, manifold computation, mathematical biology, non-smooth systems, delay differential equations, partial differential equations and control theory.
The University has a long tradition of excellence in artificial intelligence, with research groups in engineering dating back to the 1970s and 1980s. Now all these traditions have converged to form the Intelligent Systems Laboratory, a research unit with 16 members of staff (five professors) and about 40 PhD students and postdoctoral researchers.
Research activities include foundational work in machine learning (many of the unit's members work in this central area of research), and applications to web intelligence, machine translation, bioinformatics, semantic image analysis and robotics, uncertainty modelling and fuzzy systems, as well as natural intelligent systems.
In addition to these two main groups, there is new and emerging activity dedicated to robotics, including topics such as soft robotics, AI for robotics, tactile super-resolution and morphological computation.
A list of available projects can be found on the department website.
Students who graduate from the Department of Engineering Mathematics follow a wide range of careers, such as mathematical modelling and simulation in engineering consultancies, government scientific civil service, the Met Office and the intelligence services.
Many graduates go on to work in quantitative finance and financial services more broadly and several have recently become entrepreneurs in the data analytics industry. Others follow traditional academic career paths in university or in public and private sector research institutes.
Dr David Barton, (Lecturer), Dynamics of nonlinear systems; industrial mathematics; mathematical modelling; numerical methods.
Dr Colin Campbell, (Reader in Mathematics for Information Technology), Bioinformatics; cancer informatics; graphical models; kernel methods; machine learning; medical informatics.
Professor Alan Champneys, (Professor of Applied Non-linear Mathematics and Head of Queens School of Engineering), Global bifurcation; nonlinear dynamics; nonlinear optics; pattern formation; piecewise smooth systems; systems biology; systems engineering.
Professor Nello Cristianini, (Professor of Artificial Intelligence), Artificial intelligence; computational genomics and linguistics; pattern analysis; web analysis.
Professor Mario di Bernardo, (Professor of Nonlinear Systems and Control), Complex networks; control theory; industrial applications of mathematics; piecewise smooth systems; synthetic biology.
Dr Luca Giuggioli, (Senior Lecturer in Complexity Sciences), Animal foraging; animal territoriality; complex systems; movement ecology; spatial ecology of infectious diseases; stochastic delayed systems; stochastic dynamics.
Dr Thilo Gross, (Reader), Complex networks; complexity science; nonlinear dynamics.
Dr Sabine Hauert, (Lecturer in Robotics), Cancer; micro-nano swarm systems; nanomedicine; robotics; self-organised systems.
Professor John Hogan, (Professor in Mathematics in the Faculty of Engineering), Applied non-linear mathematics; complexity; fluid dynamics; piecewise smooth systems.
Dr Martin Homer, (Senior Lecturer), Biomechanics; complexity; mathematical biology; mathematical modelling; nonlinear dynamics; nonsmooth systems.
Dr Mike Jeffrey, (Senior Lecturer), Bifurcations and nonsmooth dynamics; geometry in physics and nature; singularities and singular limits.
Professor Jonathan Lawry, (Professor in Engineering Mathematics), Consensus modelling; imprecise probabilities in artificial intelligence; language games; representing vague concepts in intelligent systems.
Dr Nathan Lepora, (Lecturer in Robotics), Computational neuroscience; decision theory; robot perception inspired by animal perception; tactile robotics.
Professor Trevor Martin, (Professor of Artificial Intelligence), Applications in cyber- and physical security; flexible software specification; uncertain knowledge representation; x-mu fuzzy computing.
Dr Lucia Marucci, (Lecturer in Engineering Mathematics), Analysis of complex systems; bifurcation theory; non-linear dynamics; synthetic biology; systems biology.
Dr Naoki Masuda, (Senior Lecturer in Engineering Mathematics), Complex systems; computational neuroscience; evolutionary game theory; mathematical biology; network science.
Dr Jonathan Rossiter, (Reader in Robotics), Human-machine interaction; medical data analysis; smart materials; soft robotics.
Dr Raul Santos-Rodriguez, (Temporary Lecturer in Data Science/Intelligent Systems), Data sciences; machine learning; signal processing.
Dr Filippo Simini, (Lecturer in Transport and Mobility Modelling), Complex systems and complex networks; ecological modelling; human mobility; statistical physics.
Dr Robert Szalai, (Lecturer), Delay differential equations; invariant manifolds in piecewise-smooth systems; machine tool vibrations; mechanics of mammalian hearing; nonlinear dynamics.
Professor Eddie Wilson, (Chair of Intelligent Transport Systems), Complex systems; intelligent transport systems; mathematical modelling and simulation; traffic flow theory and characteristics.
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REF 2014 results
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Get in touch
Postgraduate Admissions Team Phone: +44 (0) 117 954 5130 Email: firstname.lastname@example.org
PhD in Engineering Mathematics
Postgraduate Admissions Team
University of Bristol
BS8 1TR, UK http://www.bris.ac.uk/engineering/graduate/pg-open/ http://www.bristol.ac.uk/engineering/departments/engineering-mathematics