Scholarships and funding

This project will leverage deep neurophysiological insights from the living world to develop new neuroscience-inspired methods capable of achieving advanced perception and navigation for future robots.

Lead department: School of Computer Science and Electronic Engineering

Closing date: 15 January 2020

This project aims to apply deep learning techniques to understand major cost/emission factors of vehicle routing subject to customer choices, so as to proactively adjust pricing to schedule customer demands.

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

Closing date: 27 January 2020

The development of wireless technology and data-driven apps has led to an influx in tools that can help track behaviour patterns, particularly in the health and wellbeing sector.

However any disclosure of personal health-related data to legitimate entities (such as healthcare providers) to receive some utility in return (e.g., in the form of better health monitoring services) comes at the expense of a possible loss of privacy, which may have unintended and potentially adverse effects to the patients/users.

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: 30 January 2020