multivariate PhD Projects, Programs & Scholarships

Competition Funded PhD Project (European/UK Students Only)

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities.

A key feature of many modern datasets is the inherent network structure present in it. Examples include social networks, biological networks, spatial networks among others.

Multivariate flood risk analysis under uncertainty and nonstationarity

Brunel University London
Civil Engineering

Dr Y Fan

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Flood risk inference would generally be influenced by a number of factors (e.g. data availability, model selection), which lead to extensive uncertainty in risk inferences.

Robust analysis of multivariate extreme events

Cardiff University
Cardiff School of Mathematics

Dr K Strokorb, Prof A Zhigljavsky

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Being well-informed about the likely nature of future risks is of utmost importance to build a resilient infrastructure through adaptation.

Statistical post-processing of ensemble forecasts of compound weather risk. PhD in Mathematics (NERC GW4+ DTP)

University of Exeter
College of Engineering, Mathematics and Physical Sciences

Dr F Kwasniok

Application Deadline: 6 January 2020

Funding Type

PhD Type

Competition Funded PhD Project (European/UK Students Only)

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities.

Lead Supervisor. Dr Frank Kwasniok, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.

Machine learning for affective manipulation in music Brain Computer Interfaces

University of Reading
School of Biological Sciences

Prof S Nasuto, Prof F Hwang

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

"At the University of Reading we have created one of the first music Brain Computer Interfaces – a system that monitors the emotional states of the subject and as a result generates commands changing the nature of synthetically generated live music in order to drive the emotional state of the subject in the desired direction.

Linear Poisson Modelling Independent Component Analysis of DESI Mass Spectral Tissue Images

The University of Manchester
Faculty of Biology, Medicine and Health

Dr A McMahon, Dr N Thacker

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Desorption Electrospray Ionisation - Mass Spectrometry Imaging (DESI – IMS) allows mass spectra to be acquired from an. array of.

Low rank approximations of matrices with a focus on statistical applications

Cardiff University
Cardiff School of Mathematics

Dr JW Gillard, Prof A Zhigljavsky

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

This proposal will investigate the structured low-rank approximation (SLRA) problem. Broadly speaking, this work will involve a synergy of statistics, linear algebra and optimisation, and has relevance to problems in other disciplines.

PhD in Child Health - Volatile Organic Compounds (VOC) for diagnosis in ex-preterm children

Cardiff University
Cardiff School of Medicine

Dr W Watkins, Dr M Chakraborty, Prof S Kotecha

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

This is a self-funded/sponsored PhD opportunity. BACKGROUND. Bronchopulmonary dysplasia (BPD) is a major respiratory consequence of premature birth (Walsh et al., 2006).

Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data

Liverpool John Moores University
Faculty of Engineering & Technology

Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip

Applications accepted all year round

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.

Integrated deep learning and model structure detection strategy for physical laws development and photobioreactor design

The University of Manchester
Department of Chemical Engineering & Analytical Science

Dr D Zhang

Application Deadline: 30 August 2020

Funding Type

PhD Type

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Designing industrial scale reaction systems and unit operations takes a sophisticate procedure and involves a range of multiscale modelling and experimentation steps.