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

We have 32 Mathematics PhD Projects, Programmes & Scholarships in Reading

Discipline

Discipline

Mathematics

Location

Location

Reading  United Kingdom

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Mathematics PhD Projects, Programmes & Scholarships in Reading

We have 32 Mathematics PhD Projects, Programmes & Scholarships in Reading

EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation

Imperial College London, the University of Reading and the University of Southampton are thrilled to invite passionate and dedicated individuals to apply for our exciting new EPSRC CDT in the Mathematics for our Future Climate starting in October 2024. Read more

Nonlinear systems of PDE and vectorial Calculus of Variations in L∞ (L-infinity)

The calculus of variations is, roughly speaking, the mathematical theory of how to minimise or maximise magnitudes. Variational problems from science typically require minimisation of an average magnitude over a space-time region depending on unknown quantities. Read more

Scalable continuous Machine Learning for non-Stationary Systems

Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more

Next Generation of Low Power Wireless Communication for Internet of Things

Internet of Things greatly extends coverage area that human being is able to perceive, access, and even control. By connecting various “Things” to the Internet, the physical world is possible to be measured and managed as needed. Read more

Intrusion Detection for industrial Internet of Things

With the development of the Industrial Internet-of-Things (IIoT), an increasing number of industrial control systems (ICSs) are connected to the Internet and in danger of being attacked. Read more

Industrial Cyber-Physical Systems Safety and Security

Industrial cyber-physical systems (iCPS) may suffer security risk from cyber space and safety risk from physical space. iCPS develop strategies based on safety and security (S&S) requirements to reduce risks from cyber and physical spaces. Read more

Biomechanics and wearable sensors

Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more

Delivering Sustainable Energy Solutions to Ports

Ports are major sources of greenhouse gas emissions as they commonly move up to 10,000 containers a day from ship to road or rail transport and correspondingly in the reverse direction from land transport onto ships. Read more

Functional Data Analysis in Finance

In Functional data analysis (FDA), the variable of interest can be naturally viewed as a smooth curve or function, rather than scalars in univariate analysis or vectors in multivariate analysis. Read more

Identification of tree species based on UAV captured images

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species. Read more

Assessment of phototherapy with model organism Saccharomyces cerevisiae

Project Overview.  . Saccharomyces cerevisiae is extensively used as model organism and is well understood from a sequencing perspective so up-regulation or down-regulation of gene expression is tractable. Read more

Using nutrigenetic, nutrigenomic and machine learning approaches to investigate the risk of cardiometabolic disease-related traits in ethnically diverse populations.

This PhD project represents an exciting opportunity to develop and conduct research at the forefront of nutritional and genetic epidemiology, contributing to the prediction, prevention, and better understanding of the development of non-communicable diseases such as obesity and diabetes, using datasets from multiple ethnic groups. Read more

Filtering Results