Scholarships and funding

The goal of the PhD studentship is to develop novel text analytics methods based on modern Deep Neural Networks. The novel text analytics methods will be applied to better understand and analyse the complexity of real-world activities and dynamics in socio-economic systems such as stock markets, health care services, innovation processes and others.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the Department of Mathematical Sciences)

Closing date: 21 May 2019

This project aims to bringing together revenue management (demand scheduling) and vehicle routing models to minimize emission by means of giving incentives to encourage customers to choose least emission time windows. It will also provide resolutions on the efficient usage of electric fleets in grocery delivery.

Lead department: Department of Mathematical Sciences (in collaboration with the School of Computer Science and Electronic Engineering)

Closing date: 24 May 2019

This project is concerned with issues around data privacy in relation to the sharing of healthcare patient information/signal.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Health and Social Care).

Closing date: 31 May 2019

The main motivation of this project is the need for an effective post-stroke rehabilitation system that provides provide 24/7 assistance to stroke survivors as well as healthcare providers at home or in hospital environments.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Sport, Rehabilitation and Exercise Sciences).

Closing date: 31 May 2019

This funded PhD studentship will address the design and development of a novel, flexible and intelligent Edge/Cloud networking solutions for smart sport and health applications.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Sport, Rehabilitation and Exercise Sciences).

Closing date: 7 June 2019

This funded PhD studentship will develop a range of AI techniques, systems and models to improve mobile network coverage.

Department: School of Computer Science and Electronic Engineering 

Closing date: 14 June 2019

The PhD project aims to investigate the applications of digital twins to support BT business operating models, focusing on advanced simulation (e.g. smart building/assets simulation), operation and data analysis.

Department: School of Computer Science and Electronic Engineering 

Closing date: 14 June 2019