The research strategy is underpinned by a £250m investment in research, our estate and facilities to enable our academics to apply fresh and original approaches to key research challenges, to inform their teaching and provide opportunities for postgraduate students to participate in major research projects.
In addition to self-funded opportunities across the majority of our subject areas, we continue to offer a significant number of fully-funded and part-funded PhD studentships to outstanding applicants, many of which are within areas of research undertaken by our new Research Centres and our industrial collaborations.
Find out more information about studentships at Coventry University before making your application to us.
Our Research Opportunities
Specialist conductive coating anode system for cathodic protection of steel in concrete structures
The application of this proposed novel alternative specialist conductive coating already developed at Coventry University combined with proposed carbon fibre composites system is an innovative concept. This approach is considered to have ‘low carbon foot-print’ together with structural enhancement and significant cost saving in providing effective cathodic protection to chloride contaminated reinforced concrete structures.
Paving elements using the novel Aer-Tech material
The research aims at investigating and the properties of paving elements, slabs and blocks, using a cementitious novel material called Aer-Tech. This is carried out through a series of tests consisting of standard cube tests to obtain the compressive strength of the material, in addition to a number of slab elements and “brick” blocks with different densities.
Ambient Intelligent Systems for Modelling Distributed Cognition in Dementia Care
The main Objective for this research is that the development of ambient information systems based on computational intelligence approaches can provide a methodology to model collaborative activities; cognition, information distribution and exchange among staff involved in dementia care tasks. These intelligent systems can then be used to automatically identify and mitigate issues related to poor information transference, interpretation (human to human and system to human), process management and cognitive capacity and patient related needs.
Robot Homing Deeply Reinforced by Another Robot
This project aims at exploring innovative techniques for Deep Realistic Reinforcement Learning applications that can take DRL to the next level. The project will establish dynamic learning techniques for interaction between two robots to teach each and learn from each other.
Analysis of the barriers to women in transport
Analysis of the barriers to women in transport leading to a set of recommendations for greater inclusion in design and decision making processes and set of recommendations on improvements for improved inclusivity of transport services.
Investigation of the current and future mobility requirements of older travellers
Coventry is seeking to become an age friendly city in accordance with WHO guidelines. A need has been found to make transport services in the city more age friendly. In order to achieve this, an audit needs to be undertaken of the type of journeys older people make, where they experience difficulties, what their mobility requirements are etc, in order to develop a set of recommendations which can be implemented by local and transport authorities and service providers.
Flight Performance & Handling Qualities Assessment of Frederick Lanchester’s 1897 Aeromachine
Better known for his achievements as an automobile designer and manufacturer, Dr Frederick William Lanchester (1868 – 1946) was also an accomplished aeronautical engineer. In 1897, six years before the Wright Brother’s first flight, he designed the ‘Aeromachine’ – an aircraft with conventional main wing, horizontal tailplane but also sporting such innovations as contra-rotating, shrouded propellers, and winglets.
Motion sickness in automated vehicles – Designing for non-driving tasks
Approximately 60% of all humans have experienced carsickness. The issue can be predicted to become significantly worse with automated vehicles where people not only are no longer in control of the vehicle, but may also engage in non-driving tasks such as browsing the web or watching a movie.
Task-Specific Recommender System for Retrieval and Reengineering of Code
The main objectives of this research are: to develop recommender systems for retrieval and reengineering of code based on implicit feedback; to develop the knowledge base for the recommendation systems through user studies during software development tasks; to analyse correlation between the retrieved source code, user query and user profile and to test and evaluate the approach using traditional IR metrics.
PhD in English Language and Applied Linguistics
Professors Hilary Nesi and Sheena Gardner welcome applications and research proposals from those wishing to follow a PhD programme of study in Academic English, corpus linguistics, English for Academic/Specific Purposes (EAP/ESP) and/or lexicography. Find out more about the BAWE and BASE projects.
Public attitude to unmanned systems
The overall aim of this research is to explore what the public attitude towards the use of UAVs are and what can be done by way of education and regulation to address negative perceptions and increase uptake of the technology.
High data accurate positioning and governing robots using hybrid data
The Faculty Research Centre (FRC) in Manufacturing and Materials Engineering, Coventry University will offer this great opportunity to an appropriate candidate for a three-year full time PhD study. The project will ultimately develop and validate a real time high accuracy positioning control system, through merging high accuracy, low rate data from Coordinate Metrology Systems and high rate lower accuracy data feedback from robots. The project will collaborate with NPL (National Physical Laboratory) and will be half funded by Coventry University (Tuition fee fully funded, stipend self-funded).
Robot behavioural learning using interaction with a caregiver
The aim of the project is to explore if it is possible to create a new form of robot learning based on caregiving interactions through basic feedback and imitation learning. This learning will build on basic learned behaviours through caregiver feedback and demonstration of increasingly more complex behaviour to be learned overtime. Such learning will be in a manner like language acquisition through interactions with the caregiver, self-practice and observations.
Non-Destructive Evaluation of Stress and Heterogeneity using Acoustic Methods
In this project we investigate the use of acoustic emission microphones to provide a diagnosis of high levels of residual stresses. A simple, non-destructive test of this kind may be indicative of a part that is likely to perform poorly during subsequent service. The novel aspects of this project are the use of advanced classifiers to interpret the complex and diverse range of signals, the potential for real-time, non-destructive monitoring of manufacturing processes.
Design optimisation of composite material for improving the energy management for hybrid vehicle application
A detail research is proposed for material characterisation under static and dynamic loading to understand the design limitations as well as developing a novel simulation technique under transient load conditions that reflects the vehicle excitations. The research will also focus on the choices of most cost-effective composite materials and suitable manufacturing process that could meet the automotive requirement on performance and production.
Autonomous vehicles and driver situation awareness
This project will take an experimental human factors approach to quantifying situation awareness (SA) using techniques (SART, SAGAT and others) developed in aviation but applied within the newly established Coventry University driving simulator. Different levels of automation will be simulated and driver behavioural and physiological response (for different age groups) will be analysed.
Methods and Tools for Designing Secure Telematics Applications
The successful candidate will contribute new knowledge to the design and development of vehicle systems in general, and to telematics systems in particular. They will evaluate the benefits of formal methods in this area, and will develop of a rigorous methodology combining SysML and formal methods, that provides for increased confidence in the security of telematics applications.
The Effects of Intelligent Mobility on Transient and Complex Journeys
Particular types of journeys are under researched by the community and transport stakeholders. For example, both the UK and the French census only collect data related to commuting trips. This means that there may be a shortfall in transport provision relating to essential and purposeful trips. The aim of this PhD will be to understand and characterise the needs and requirements of occasional users and review the extent to which new transport service provision will meet these needs (e.g. Uber, Demand Responsive Transport, in vehicle telematics).
The Effects of Haptic Feedback on Pilot Performance & Workload
It is likely that some optimum level of control force feedback exists in selected flight conditions for given flying tasks, aircraft types and designs of control inceptors and that this may lead to improved pilot situation awareness in upset conditions.
This PhD is part of a wider programme of LoC-I research and aims to investigate the effects of control inceptor design and haptic feedback on pilot workload and performance in order to suggest optimum levels of control force feedback to enhance flight safety.
Muscle fatigue in full body musculoskeletal models
A whole body musculoskeletal model has been developed to undertake biomechanical analysis in applications such as sports analysis and product development. It is now required to enhance the muscle modelling of the model to include fatigue characteristics.
Adaptive vehicle structure concepts for reduced crash pulse severity
Energy absorbers are structural members designed to absorb the collision energy during a vehicle impact. Advances in manufacturing now allow producing members with complex geometry and improved energy dissipation for a range of impacts. This project will design and optimize such members.
Planetary gearboxes Prognosis and Diagnosis
Condition monitoring, diagnosis, prognosis, and intelligent health management are effective means to reducing the downtime and maintenance cost and improving the reliability of machines.
Effect of microstructure and texture on crack propagation and residual stress stability in complex fatigue loading environments
In this project, a correlation for fatigue crack propagation and residual stress relaxation and redistribution of aerospace and marine alloys will be established. The information of grain characteristics, phases, crystallographic planes and their orientations will be used in finite element models. The effects of different slip systems in FCC and BCC crystals in materials with and without texture of the alloys will be investigated. A comprehensive model of residual stress relaxation and redistribution in different loading modes will be developed.
Thermal behaviour of Ultra High Performance Fibre Reinforced Concrete
This project aims at a clearer understanding of the thermo-mechanical behaviour (failure mechanisms, degradation of stiffness, strength and fracture resistance) of UHPFRC members under elevated temperature, by both lab experiments and advanced numerical modelling. Empirical curves relating the temperature, exposure time and strength/stiffness will be proposed and compared with thermos-mechanical finite element modelling.