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We have 107 Applied Statistics PhD Projects, Programmes & Scholarships for European Students (exc UK)






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Applied Statistics PhD Projects, Programmes & Scholarships for European Students (exc UK)

We have 107 Applied Statistics PhD Projects, Programmes & Scholarships for European Students (exc UK)

Applied Statistics is the use of statistical methods to solve real-life problems, particularly in fields like health, medicine and social sciences. A PhD in Applied Statistics involves a research project that intents to find solutions to problems identified in different field using the methodologies in the area of Statistics.

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

Using your existing knowledge of Statistics and Maths, you’ll be working on a unique research project that offers significant contribution to the field. As a PhD student in Applied Statistics, you’ll find that what sets it apart from traditional Statistics is the focus on collaboration with other STEM subjects.

Some popular research topics in Applied Statistics include:

  • Linear models
  • Data mining and analytics
  • Statistical process control
  • Spatial statistics
  • Statistical computing
  • Longitudinal analysis s

Your research will probably focus on a particular real-world application of Statistics like in disease mapping, survival analysis or predictive modelling, among others.

You’ll find that most PhD programmes in Applied Sciences are advertised with a research objective already attached. This is the case for most STEM subjects. Even though it is not that common, some universities do consider applicants who want to propose their own research projects provided it meets the overall research objective of the department.

A PhD in Applied Statistics will require you to produce a thesis, around 80,000 words long, to be defended in an oral viva examination.

Entry requirements

A PhD in Applied Statistics will require you to have a Masters with either Merit or Distinction in a subject like Mathematics or Statistics. Some programmes might accept a degree in other fields of study as long as it had a significant mathematical component like Physics or Engineering.

You might also have to prove that you are proficient in the language of instruction at your chosen university.

PhD in Applied Statistics funding options

A PhD in Applied Statistics in the UK is funded by the Engineering and Physical Sciences Research Council (EPSRC) which offers fully-funded studentships and a monthly stipend. PhDs which are advertised with it attached offer guaranteed funding if you are successful in your application. If you are proposing your own project, you’ll first need to be accepted by a university to be eligible for the funding.

PhD in Applied Statistics careers

The skills you’ll acquire while completing a PhD in Applied Statistics will definitely prepare you for a career in academia and research. If you don’t see yourself working as a research fellow or in academia, some of the largest employers of Applied Statistics doctoral graduates are firms in fields like finance, forensics and medicine.

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Quantifying and measuring the travel time reliability of public transport trips

Supervisory Team.   Dr Ioannis Kaparias. Project description.  Travel time in transport networks is not constant, but entails an element of variability that can be an important source of time losses. Read more

Machine learning for studying supernovae

Supernovae are the explosive deaths of certain types of star at the ends of their lives. They play an important role in the Universe, being the key distributors of heavy elements. Read more

Generative AI and Active Learning for Foundation Models Applied to Automated Segmentation of Multi-modal Images

This proposal focuses on automatically segmenting diverse medical imaging modalities such as MRI, CT, and pathology through the combined use of Foundation models, Active Learning and Generative AI (Artificial Intelligence). Read more

Advancing diabetes screening through data driven approaches

Additional supervisor. Dr Joie Ensor, University of Birmingham. This exciting project aims to update the Diabetes UK “Know your Risk” tool ( which is based on the Leicester Diabetes Risk Score. Read more

Sequential Bayesian inference in complex and realistic dynamical systems

This PhD position will be at the interesting overlap between computational statistics, Bayesian analysis, statistical signal processing, and machine learning, motivated by applications that aim to improve human life and environment. Read more

The University of Manchester - Department of Mathematics

The Department of Mathematics at Manchester is one of the largest Mathematics Departments in the UK and has been home to some of the brightest postgraduate and academic mathematicians. Read more

NIHR Exeter BRC Studentship - Precision medicine data science for type 2 diabetes

Project description. This fully-funded PhD studentship is a research-intensive programme providing training in cutting-edge data science and machine learning methods applied to large-scale clinical datasets. Read more

Importance Sampling for Computing Extremes

  Research Group: School of Mathematics
Extreme climate events such as prolonged heatwaves, heavy rainfall, and severe windstorms with return periods of hundreds of years or more have severe impacts when they occur. Read more

PhD in Computing Science - Extending self-calibrating interfaces to direct control tasks

This project will build on and combine previous work from the two supervisors under one applied demonstrator. In the process, you will learn, develop, and study new algorithmic technics worthy of publication in top international machine learning conferences such as NeurIPS or ICML. Read more

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