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This study aims to develop accelerometry techniques in order to accurately measure the body's posture and movements and use signal processing and artificial intelligence methods to analyse and interpret the information.

The aim of this study is to develop a device that can assist blind or those with severely impaired vision to be able to have an improved ability to be able to walk safely in public places.

Ï㽶ÊÓƵ is offering this challenging and exciting PhD project in radioactive waste immobilisation and monitoring. This project is fully-funded by the UK's Nuclear Decommissioning Authority (NDA) and is supported by the National Nuclear Laboratory (NNL). The project is also supported by a consortium of leading UK Universities and nuclear industry partners, through the EPSRC TRANSCEND consortium, and the successful applicant will form part of a strong cohort at Ï㽶ÊÓƵ and also as part of TRANSCEND.

There are several research opportunities available surrounding Advanced functional materials for electronics and energy applications

The conduct of this project would help to gain deeper physical and theoretical insights into the granular processes involved with segregation, mixing, avalanching, shock surface and rheology etc., hence providing guidance to relevant application problems.

This research proposes the use of Artificial Intelligence techniques (including machine learning, intelligent signal processing, and advanced computer vision techniques) in analysing these large scale data sets to enable both remote condition monitoring of machinery and advanced process optimisation.

The use of additive manufacturing and 3D printing, which has been in development over the last 30 years, is steadily becoming the norm for many companies in order to produce complete and complex product prototypes, as well as undertake small batch production. Find out more about the research opportunities in this very innovative and rewarding field of manufacturing research.

There is a huge commercial opportunity for clean steam production systems. The aim of this project is to overcome sever challenges we currently face including: (i) develop understanding of chloride-related corrosion at higher temperatures, (ii) applying numerical modelling techniques to analyse the thermal and mechanical stresses in the steam equipment, (iii) optimise the design numerically and analytically, (iv) test a scaled-prototype to validate the numerical model, (v) validate the model with an industrial-scale clean steam generator available with the industrial partner.

This PhD project will focus on developing, improving and optimising advanced real-time control strategies in mixed fermentation.

The aim of this study is to work with clinicians to develop thermal imaging as a viable diagnostic and monitoring tool in paediatric healthcare.