Find out more information about studentships at Coventry University before making your application to us.
Our Research Opportunities
Coventry University's research strategy is underpinned by a £250m investment in research, our estate and facilities. It also:
- enables our academics to apply fresh and original approaches to key research challenges
- informs their teaching
- provides opportunities for postgraduate students to participate in major research projects.
We offer fully-funded, self-funded and part-funded PhD studentships to outstanding applicants, many of which are within areas of research undertaken by our Research Centres and our industrial collaborations.
To find a PhD for you, search by topic/subject in the bar below or filter by research area/centre on the available drop-down box.
Time sensitive networking for Industrial Internet of Things
This project seeks to implement future industrial Time Sensitive Networking (TSN) network to incorporate Software Defined Networking (SDN) approach to provide innovative Quality of Service (QoS) algorithms and simplify the deployment of new forwarding strategies for specific applications.
Psychobiology of Religion and the Social Brain
The aim of this PhD project is to apply Robin Dunbar’s Social Brain Hypothesis to religious rituals and beliefs. The PhD candidate will investigate a variety of religious rituals, their relationship to social bonding, and the psychological and biological mechanisms that mediate this relationship.
Developing an autonomous cobot system for shared assembly task
The project seeks to develop an autonomous cobot system for shared assembly task completion and optimisation. The will involve extensive research within the field of AI with focus on reinforcement learning for developing “Learning from Demonstration” (LfD) capability and autonomy.
Innovation for Dementia Care: Evaluation of Digital Health and Wellbeing Apps in ‘Real-Life’ Living Labs
The project will explore the potential for digital innovations to improve health and wellbeing for a frail elderly population, including people living with dementia. Interventions will be evaluated in high-tech ‘living lab’ environments to assess whether they produce improvements in residents’ quality of life and enable better support provision by carers. Secondary outcomes measured will include positive impact on activities of daily living, improved cognition, and reduced health & care resource use.
Development of wearable technology to detect dehydration in older adults
This research will explore the feasibility and design of body worn devices to detect hydration levels and feed back information to care staff. The interdisciplinary project will involve working with older people and their carers to co-design, develop and evaluate suitable technology that is informative and acceptable to the end users.
Empathic approaches to the design of new service models for elders’ access to health care provision
Elders’ access to health care provision in the UK (and globally, e.g. in US) is problematic. The distributed nature of health care, complexity of illnesses associated with old age, and cutbacks in transport provision. Although the precise direction of the PhD will be based on the background and interests of the candidate, the overall aim will be to propose and test realistic and transferable transport solutions to improve the accessibility and health care experience of older patients.
Communities within communities - an eco-system to support ageing in place
This research will investigate a social-relational approach of providing residential care for the elderly. The research will be undertaken in collaboration with two strategic sector partners- who are leaders in their fields of housing, and specialist care home provision, to develop a model of community engagement which improves the social and emotional wellbeing of older people living in their residential facilities in the local region.
Magnetohydrodynamic Turbulence in extreme magnetic fields
Applications are invited for a PhD in experimental fluid mechanics at the Grenoble High Magnetic Field Laboratory, on turbulence in liquid metals in a very high magnetic field. Turbulence is one of the major challenges of classical physics. Here, focus on the role played by the propagation of waves in the statistical and dissipative properties of turbulence and in its transition between two- and three-dimensional states. This research is of crucial importance for several issues pertaining to future nuclear energy and geophysics, from heat extraction form Nucelar reactors to understanding the dynamics of the magnetic field of the Earth.
A deposition process to integrate energy harvesting with structural strength
This project will develop novel, next-generation additive manufacturing to integrate thermoelectric generators and heat management systems into a single-piece structural part to optimise energy harvesting from hot fluid manifolds; vastly improving structural integrity, heat-exchanger leak-tightness, and component compactness and efficiency.
Stronger, lighter, safer, materials by length scale engineering
This project will design stronger, lighter, safer, ‘length-scale engineered’ materials using a next-generation additive manufacturing route. Computer modelling will provide better materials physics understanding leading to novel material architectures/designs that will be made, structurally characterised and mechanically tested.
An Empathic Robot Companion to Improve User Mood and Well-Being
The PhD involves developing an empathic robot able to recognise a user’s emotional state then chose the appropriate communication approach to improve the user’s mood and well-being. The project will include the development of a novel deep learning neural architecture to improve robot-human interaction. This robot could be used to improve the well-being of sensor citizens and so assist them in living independently.
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
Computational framework for intelligent activity and decision modelling in collaborative healthcare settings. Develop computational intelligence models provide insight into cognitive distribution and information transference pathways between users, smart devices and the environment to improve efficiency and quality of care delivery.
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.
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.