Non-Funded Studentships
We welcome applications from suitably-qualified candidates with their own funding.
You can use our search listing to find the right project for your skills, passion and expertise.
You may also be interested in our PhD by Publication.
16 items found
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Design and analysis of an algorithm-free quantum computing model
In this project, a completely different model of computing will be investigated to replace the sequential paradigm of algorithms with inherent parallelism of physical processes that enforce a system
Chemical analysis and bioaccumulation of ‘forever chemicals’ in aquatic organisms
Perfluoroalkyl substances, or PFAS are a group of man-made chemicals that are manufactured and used in a variety of industries around the world (e.g. textiles, household products, food processing,
Understanding the effects of model structure in modelling HIV interventions
This research will use some of the current HIV biomedical interventions to explore the effects of different modelling frameworks on the model’s mathematical properties and prediction capabilities.
Measuring, Understanding and Improving Engagement in Programming Teaching
The Centre for Data Science is offering a project applying Data Science Technology to better understand and improve the teaching of programming.
Novel wireless Medium Access Control (MAC) protocol design using a machine learning approach
This project will investigate and seek to innovate a novel collaborative cognitive radio approach between a multi-learning intelligent agent system.
Machine Learning to Improve Groebner Basis Construction
CDS is offering a new project applying Machine Learning Technology to improve a key algorithm of Computer Algebra Systems.
Investigation into Selective Catalyst Reduction spray formulation and use of various liquid reductants
Studies assume that all the reductant is evaporated at the entry of the SCR domain because of the long mixing length, but this may not be the case in the close-coupled system with a much shorter
Index Modulation using Reversed Source Coding Techniques
The Research Centre for Data Science (CDS) is offering a self-funded PhD opportunity titled 'Index Modulation using Reversed Source Coding Techniques'.
Genetic determinants of tumorigenesis and therapeutic response in Non-Small Cell Lung Cancer
Coventry University (CU) is inviting applications from suitably-qualified graduates for a self-funded PhD studentship
Effectiveness of the Maximum Satisfiability formulation of the set covering problem and its variants
The Maximum Satisfiability (MaxSAT) problem is to determine the maximum number of clauses from a given Boolean formula in conjunctive normal form that can be made true by an assignment to the
Statistical Physics of Geometrically Frustrated Lattice Walks
The thesis consists of studying lattice models for polymers in solution. These models consist of self-avoiding random walks with constraints and interactions which mimic the behaviour of the monomer
Object Detecting and Tracking in Medical X-ray Images
The proposer has developed a new concept of embedding machine learning methods into image filter algorithms, which could dramatically improve the accuracy and efficiency of real-time detection and
Novel Hybrid Wind and Wave Energy System and Its Structural Dynamic Responses Subjected to Combined Wind and Wave Loads
This project aims to combine the benefits of both offshore wind and wave technologies and propose solutions for their further development through developing a novel multifunctional platform.
Exploring Mixed-State Wetting of Laser Surface Engineered Polymeric Materials
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
Fast simulation for translocating polymers through nanoscopic pores
The Research Centre for Data Science (CDS) provides a hub to develop cutting edge research in the areas of Artificial Intelligence, Data Science, Future Computing Technologies and Statistical and
Intelligent Solar Controller
The main focus of this PhD work will be to propose novel techniques for maximum power point tracking in harsh conditions that are theoretically elegant while at the same time practically useful.
