As an ambitious and innovative University, we’re investing an initial £100m into our new research strategy, ‘Excellence with Impact’ and are awarding studentships to the most exceptional candidates across a range of research areas. As a research student you will be an integral part of Coventry’s lively and diverse research community and contribute to our reputation for excellence. With our exceptional facilities and superb support mechanisms you are afforded every opportunity for academic success.

Please click on the individual studentship links below for further information:

The Centre for Low Impact Buildings focuses on delivering research solutions to close the design versus as-built performance gap found in the built environment.

• Investigation of a novel light-weight sustainable cementitious material
• Development of connection systems for round bamboo structures
• Specialist conductive coating anode system for cathodic protection of steel in concrete structures
• Ultra High Performance Fibre Reinforced Concrete Beams against Torsion (LIB Full studentships available, self-funded candidates considered)
• Recycling and reuse of construction and building materials in the context of the circular economy (LIB Full studentships available, self-funded candidates considered)
• User centred design of domestic energy feedback (LIB Full studentships available, self-funded candidates considered)

The Centre Manufacturing and Materials Engineering’s expertise lies in the successful delivery of research into materials and manufacturing processes for enhanced product performance.

• Effect of microstructure and texture on crack propagation and residual stress stability in complex fatigue loading environments
• Plasticity Length-scale Effects Fundamentals: Investigate dislocation generation and mobility as a function of applied stress distribution and stacking fault energy
• Design optimisation of composite material for improving the energy management for hybrid vehicle application
• High data accurate positioning and governing robots using hybrid data

The Centre for Mobility & Transport focuses on inclusive, sustainable and safe transport integrating the strongest research elements in design and engineering.

• Flight Performance & Handling Qualities Assessment of Frederick Lanchester’s 1897 Aeromachine (Self-funded)
• Thermal comfort and its contribution to the user experience of transitional transport spaces (Self-funded)
• Adaptive vehicle structure concepts for reduced crash pulse severity
• Muscle fatigue in full body musculoskeletal models (Self-funded)
• The Effects of Haptic Feedback on Pilot Performance & Workload
• The Effects of Intelligent Mobility on Transient and Complex Journeys (Self-funded)
• Autonomous vehicles and driver situation awareness
• Methods and Tools for Designing Secure Telematics Applications
• Blended fuel droplets heating, evaporation and ignition (Self-funded)
• Analysis of the barriers to women in transport
• Investigation of the current and future mobility requirements of older travellers
• Comfort Experience in Automated Vehicles: Anticipation of motion
• Integrity of the bone-implant interface based on the evaluation using vibrational techniques
• A Model-Based Design Platform to Conjointly Optimise the Performance of the Powertrains and the Associated Energy Management Strategy of the Hybrid Electric Vehicles
• Public Attitude To Unmanned Systems

The School of Computing, Electronics and Maths

• Statistical physics of complex systems
• Hybrid Intelligent fusion for meeting feedback from affective state of participants
• Robot homing deeply reinforced by another robot
• Ambient Intelligent Systems for Modelling Distributed Cognition in Dementia Care
• Magnetohydrodynamic Turbulence in extreme magnetic fields
• Numerical magnetohydynamics on the stability analysis of liquid metal batteries
• A personalised healthy eating recommendation system based on ambient aware food selection modelling using computational intelligence approaches
• Real-Time User Sentiment Prediction for Ambient Aware Personalised Recommendation Systems using Deep Learning Spatial-Temporal Models
• Task-Specific Recommender System for Retrieval and Reengineering of Code
• Advanced Big Data Analytics Techniques for Real Time Prediction of Emerging Trends
• Developing novel soft computing methodologies to model and predict migration and refugee flows
• Stochastic log file analysis for network based intrusion detection
• Robot behavioural learning using interaction with a caregiver
• Intelligent Environmental Control Using Deep Neural Network and Reinforcement Learning

The School of Mechanical, Aerospace and Automotive Engineering

• Enhancing the sustainability of anaerobic digestion systems by using multi-objective optimisation algorithms
• Smart Factory: Developing cyber physical systems and intelligent networks for self-adaptive, flexible production environments

The Flow Measurement and Fluid Mechanics Faculty Research Centre

• Numerical and experimental analysis of CO2 leakage through well cements