Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 72 Applied Statistics PhD Projects, Programmes & Scholarships

Discipline

Discipline

Mathematics

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Applied Statistics PhD Projects, Programmes & Scholarships

We have 72 Applied Statistics PhD Projects, Programmes & Scholarships

Empirical Modeling in Financial Engineering

This project explores the decvelopment and application of empirical techniques in Financial Engineering. If you are interested, then please complete an application to the PhD in Applied Mathematics. Read more

The automated construction of thermodynamic models for complex mixtures

Process design requires accurate and reliable thermodynamic data for multicomponent mixtures in the system over a wide range conditions (e.g., solvents, impurity concentrations, temperatures, pressures) which are often missing, especially for new compounds. Read more

Statistical inference for epidemics models

Mathematical models have been established as an important tool for capturing the features that drive the spread of a disease, predicting the progression of an epidemic and guiding the development of effective control strategies to prevent potential outbreaks. Read more

Ecological geometry: applying geometric and topological concepts and tools to model how animals interact with each other and their environment

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Bayesian Deep Learning for cosmology with Euclid

This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. Read more

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

Continual Learning and Its Applications

Continual learning (often termed as lifelong learning) is the process through which a learning system efficiently learns multiple tasks in succession, which is an essential requirement for Artificial General Intelligence (AGI). Read more

Filtering Results