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We have 8 Statistics PhD Projects, Programmes & Scholarships in Edinburgh

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Mathematics

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Edinburgh  United Kingdom

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Statistics PhD Projects, Programmes & Scholarships in Edinburgh

We have 8 Statistics PhD Projects, Programmes & Scholarships in Edinburgh

A PhD in Statistics focuses on mastering the mathematical framework behind data analysis. You will be researching processes that help understand data and assess risks. Even though Statistics contains a major component of theoretical maths, it has plenty of application in other fields like Physics, Biology or Finance.

What’s it like to do a PhD in Statistics?

On a PhD level, you’ll be using your existing knowledge of the models and methods in Statistics to work on a unique project that offers significant contribution to the field. Statistics is a vast area of study and you can look at one of some of these popular research topics in Statistics:

  • Bayesian statistics
  • High dimensional data
  • Computation techniques
  • Extreme value theory
  • Probability theory
  • Wavelets

Statistics also has applications in other areas like Biology, Medicine, Finance or Physics. You can, therefore, also decide to focus on a particular application of Statistics. For example, you can have a special focus on statistics within biomedical or social science.

Akin to many other STEM subjects, Statistics PhDs are usually advertised with a research objective. You can also propose your own research projects and they might be considered if they meet the over-arching objectives of the department.

In the UK, a PhD will end with submitting a thesis of around 80,000 words followed by an oral examination where you will defend your research in front of an academic panel. It is also likely that you’ll be asked to enroll as an MPhil student at the beginning of your programme. You can upgrade to a PhD, after a review at the end of the first year, if your supervisor feels your work meets certain standards

Since a PhD is a purely research-based degree, there are no compulsory teaching hours. You’ll work on a mutually decided schedule with your supervisor. However, because of the transdisciplinary nature of the field of Statistics, you might be encouraged to take on some taught modules, that cover certain transferable skills, in your first year.

Entry requirements

If you’re looking to do a PhD in Statistics, you’ll need to have completed a Masters (with Merit or Distinction) in a mathematical subject. Some research programmes may also accept degrees in subjects like Physics, Engineering or Computer Science, provided they have a major mathematical component.

Depending on where you choose to apply, you may also need to show that you have a level of language proficiency in your university’s language of instruction

PhD in Statistics funding options

In the UK, the Engineering and Physical Sciences Research Council (EPSRC) funds PhDs in Statistics. They offer fully funded studentships and a monthly stipend to UK students. PhDs are usually advertised with the funding attached and you’re automatically eligible for it if you’re successful in your application.

If you are an international student, you have the option of the EPSRC PhD Scholarships that contribute towards your tuition fee but do not include a monthly stipend.

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PhD in Statistics careers

A PhD prepares you for a career in academia and the industry. Agriculture, forensics, finance and law are some of the biggest employers of Statistics graduates outside of academia. You can also look at careers in Actuarial Sciences after a PhD in Statistics.

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University of Edinburgh School of Mathematics fully funded PhD studentships

The School of Mathematics has an outstanding reputation in undergraduate and postgraduate education, and offers a wide range of undergraduate, MSc and PhD programmes. Read more

PhD Scholarship in deep learning for image reconstruction and analysis in astronomy and medicine

The Biomedical and Astronomical Signal Processing group (BASP) at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux, jointly with Edinburgh's prestigious Centre for Doctoral Training on Mathematical Modelling, Analysis and Computation (MAC-MIGS), are recruiting a PhD student for research on optimisation and deep learning theory and algorithms for computational imaging. Read more

PhD studentship in Specifying Safety in Hybrid Artificial Intelligence Systems

One fully funded, full-time PhD position to work with Craig Innes in the Institute for Perception, Action, and Behaviour (IPAB) at the School of Informatics, University of Edinburgh. Read more

Development and exploitation of a high-resolution sea level product in the coastal ocean - SENSE CDT

Scientific background and motivation. Changes in sea level are a well-documented result of global climate change but how these changes impacts on communities requires detailed knowledge of sea level in coastal regions. Read more

High-dimensional probabilistic dynamic models for global vegetation change and weather forecasting - SENSE CDT

The Earth’s vegetation is changing as a result of both human activity and climate change. Large scale shifts in vegetation will fundamentally alter terrestrial ecosystems, with a range of potential consequences – from impacts on biodiversity to altered carbon and hydrological cycling. Read more

PhD studentship in Machine Learning

One fully funded PhD position to work with Dr Henry Gouk in the School of Informatics at the University of Edinburgh, on a projected titled “Machine Learning with Context”. Read more
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