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Faculty of Science and Engineering

Mathematics research degrees

Postgraduate - Research

PhD

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About our programmes

Mathematics at Hull offers opportunities to study towards a Doctor of Philosophy (PhD) in a thriving research environment. We welcome research proposals in any of our specialisms. Our staff have a wide range of expertise in many different areas, from pure maths theories around low-dimensional topology and asymptotic geometric analysis, to fluid dynamics, superstring theory and astrophysics across other disciplines.

While studying towards a PhD at Hull, you’ll be fully supported by two supervisors who are able to offer expert supervision in your area. You'll also benefit from being part of a genuine community of mathematicians.

Details

Open for admission in 2018/19

Open for admission in 2019/20

Full time Part time
PhD 3 years* 5 years*

* plus writing-up time

Start in January, May or September

Research

Our key research interests can be broadly themed into the following:

Pure Mathematics

Asymptotic geometric analysis

Asymptotic Geometric Analysis studies the geometric and linear properties of finite dimensional objects, normed spaces, and convex bodies and the asymptotics of their various quantitative parameters as the dimension tends to infinity.

At Hull, our main interests are the local structure of the classical Lp spaces, in particular the finite-dimensional normed subspaces with a symmetric basis, the geometry of random polytopes in isotropic convex bodies, and the singular values of random matrices, especially when the random entries are not identically distributed.

 

Applied Mathematics

Environmental and Industrial Modelling

Environmental mathematical models have been developed to analyse river flows in estuaries and the impact on the growth of vegetation due to pollutants released further upstream. Work has also been done into the feasibility of underground repositories for storing materials with low and medium levels of radioactivity.

Additional interests are in numerical methods for solving large systems of linear algebraic equations underlying environmental models and investigating genetic algorithms for optimisation purposes.

Staff: Dr Tim Scott

Fluid Dynamics

Within the area of fluid mechanics, the main focus is on a combination of asymptotic analysis and numerical methods for the study of high Reynolds number viscous flows.

Staff: Dr John W Elliott 

 

Probability and Statistics

Processes on complex networks

Large complex networks can be found everywhere, for example as social, information, technological and biological networks. Many of these networks share the property that they are scale free, i.e., the number of links of nodes have a power law distribution. Hubs with a very high number of links play an important role in the behaviour of the network.

Processes on these networks one can think of are opinion formation in social networks, the spread of information via telecommunication and computer networks, and epidemics in society. In Hull, we use probability theory to investigate what the effect is of the scale-free nature of complex networks on processes on these networks, both in and out of equilibrium.

Potential projects include investigating:

  • Properties of complex networks and random graphs
  • Interacting particle systems on random graphs
  • Metastability in interacting particle systems

Staff: Dr Sander Dommers

Foundations of Statistics

We study the mathematical modelling and management of uncertainty, in which a central role is played by probability distributions. Questions of interest include: what and how can we learn from statistical data? How can we combine different sources of uncertain information? And how can we use such information in order to make optimal decisions in situations involving uncertainty?

 Potential projects include:

  • Regression with interval data
  • Learning from data with graphical models
  • An axiomatic approach to likelihood decision making

 Staff: Dr Marco Cattaneo

Statistics in Astrophysics

What is the mass of the most massive object in the Universe? What is the size of the biggest cosmic void we are most likely to observe? What is the magnitude of the most energetic solar flare that could occur?

We address these questions by studying the likelihood of rare, extreme events with extreme-value statistics, which has long been used in meteorology and engineering, and has recently found many applications in astrophysics.

 Potential projects include:

  • Superclusters and supervoids
  • Extreme-value in the inflationary landscape
  • Understanding extreme solar flares

 Staff: Dr Siri Chongchitnan

Fees and funding

  • Home/EU: £4,260 (full-time) 
  • Home/EU: £2,130 (part-time)
  • International: £15,300 (full-time)

Please note, the fees for 2019/20 have not yet been confirmed, and may increase.

These fees are for all research degree programmes on this page. For courses lasting more than one year, small annual increases may apply. For more information, please visit the fees and funding page.

The standard length of a full-time PhD programme is three years, or five years part-time, plus 'writing-up'.

For full-time students, writing up typically takes about three months but may be extended to one year without further paperwork. For part-time students, writing up typically takes one year, but may be extended to two years without further paperwork.

There is a small continuation fee to be paid for the writing-up period. The continuation fee is partly reimbursed, if you submit in less than one year (full-time) or less than two years (part-time).

Some postgraduate research students may be asked to pay a bench fee in addition to the tuition fee to cover additional costs of their research project. If such a fee is levied for additional project-specific costs, not included in the tuition fee, you will receive further information during the application process.

For information about bursaries and how to fund your studies see our money page, or take a look at our PhD scholarships page for specific funded PhD opportunities.

The University’s Postgraduate Training Scheme (PGTS) provides a range of generic and discipline-specific modules to support research students through their programme.

Find out more

The library has an exclusive lounge for postgraduate research students and a dedicated Skills Team to provide a wide range of study and research skills help.

Find out more

The Graduate School provides support to postgraduate research students. Offering skills development opportunities and dedicated facilities, the school is here to help you achieve your potential.

Find out more

Research at Hull tackles big challenges and makes an impact on lives globally, every day. Our current research portfolio spans everything from health to habitats, food to flooding and supply chain to slavery.

Find out more

Entry requirements

You should normally have, or expect to obtain, at least 2:1 Honours degree (or international equivalent) in mathematics or a related discipline appropriate to your intended research.

Please contact your prospective supervisor in the first instance. Once a member of staff has agreed to supervise your research project in principle, please make a formal application.

International students

If you require a Tier 4 student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level.

This course requires academic IELTS 6.0 overall, with no less than 5.5 in each skill. For other English language proficiency qualifications acceptable by this University, please click here.

If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses.

Visit your country page to find out more about our entry requirements.