Coventry University is a diverse and exciting place to work and we share the enthusiasm of our staff and students to be the best at whatever they choose to do. As one of the City’s biggest employers, we offer some impressive benefits for our staff and are committed to delivering the very best opportunities. We have a comprehensive training, personal and professional development programme that provides our employees with the skills to enhance their performance in the workplace and grow in their careers. There are pension schemes, a generous holiday allowance and flexible working opportunities as well as lifestyle benefits including childcare vouchers, discounted membership to the £4 million sports and recreation centre and schemes such as Cycle to Work and the CU Car Share initiative.
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Apple, Android and PC chip problem – Why your smartphone and laptop are so at risk.
Creating safe and sustainable transport solutions fit for the cities of the futures.
As an ambitious and innovative university, our research makes a tangible difference to the way we live. Coventry University is already known for delivering research that makes a significant contribution to a number of global challenges.
Our Research Centres focus on a range of real-world issues under five key themes.
This project will make inroads to achieve a better understanding of the wetting nature of laser surface engineered materials exhibiting a mixed-state wetting regime and will add to the current work being conducted in the field of wetting regimes and wetting transitions.
The aim of this project is to develop efficient machine learning methods, simulation and modelling environments, particularly suitable for the creation of intelligent automated vehicle embedded systems, and the development and deployment of connected and autonomous vehicles.
The aim of this project is to develop a novel and effective solution for automatic road defect detection, and road network predictive maintenance. This project is focused on the development of novel hybrid computational intelligence techniques which are able to tackle the challenges of processing Big Data such as large image datasets, while at the same being able to incorporate into the decision process of an intelligent system diverse data sources, in order to provide accurate predictive maintenance forecasting.
This PhD project will deal with the evaluation of different electromagnetic variables as to their generalised diagnostic ability in traction motors. Moreover, the ability to estimate the fault level severity will be an important parameter of this work.
Contact for advanced measurement systems, Wireless sensor networks, Fault detection, Fault management, Intelligent Sensors, MEMS Sensors, Sensor Fusion, Gas turbine engines, Engine efficiency, Pervasive technology, Advanced sensing, User centred design, Body Sensor Networks, Cogent computing | Email: firstname.lastname@example.org | Phone: +44 (0) 24 7765 9185