University of Leicester, England invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at University of Leicester, England.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Machine Learning–Driven Imaging of Cardiac Microstructure in Diabetes and Heart Failure with Preserved Ejection Fraction
Diabetes and cardiometabolic disorders are major contributors to heart failure, particularly heart failure with preserved ejection fraction (HFpEF), which remains poorly understood and challenging to diagnose early (Upadhya & Kitzman, 2020; Shah et al., 2016). Patients with type 2 diabetes (T2D) often develop early myocardial remodelling, including changes in fibre alignment, sheetlet orientation, and extracellular matrix composition, which precede overt structural or functional abnormalities detectable by conventional imaging. Early detection of these microstructural changes may be critical for risk stratification, timely intervention, and personalised management of cardiometabolic patients. Diffusion MRI (Basser & Pierpaoli, 2011) enables non-invasive characterisation of myocardial microstructure by capturing fibre orientation, sheetlet architecture, and tissue anisotropy (Sosnovik et al., 2009; Afzali et al., 2024, 2025), providing insights into early pathological processes associated with diabetes, obesity, and metabolic syndrome.
This project aims to leverage machine learning to detect and predict subtle myocardial microstructural alterations in individuals with T2D and other patient groups with Stage B and mild symptomatic HFpEF. The student will optimise diffusion MRI acquisition and post-processing pipelines to robustly quantify parameters including mean diffusivity (MD), fractional anisotropy (FA), helix angle (HA), and secondary eigenvector angle (E2A) (Nielles-Vallespin et al., 2017; Gotschy et al., 2021).
Machine learning approaches will be applied to extract latent patterns of microstructural organisation and predict trajectories of myocardial remodelling. In addition, emerging large language model (LLM) approaches will be investigated for integrating multimodal datasets, including imaging-derived features, clinical variables, and unstructured health records. These models have shown promise in automated extraction of cardiac imaging parameters and clinical data interpretation (Wahi et al., 2025), and may enable improved interpretability, automated reporting, and translation of complex imaging findings into clinically actionable insights. By integrating diffusion-derived metrics with functional imaging data such as strain, T1/T2 mapping, and conventional cardiac MRI markers, alongside clinical and biochemical parameters, the student will develop interpretable models linking microstructural changes to cardiac performance. These predictive frameworks aim to identify early disease signatures before clinical symptoms or overt imaging abnormalities appear, supporting proactive patient management and personalised therapeutic strategies.
The project will employ both cross-sectional and longitudinal study designs to capture disease trajectories, evaluating how microstructural alterations evolve over time in relation to glycaemic control, metabolic health, and cardiovascular function. Multimodal datasets will allow correlation of diffusion metrics with structural and functional imaging, blood biomarkers, and exercise physiology measures, providing a comprehensive understanding of early remodelling in diabetes and metabolic disease. By combining high-resolution imaging, AI-based analysis, and advanced statistical approaches, the student will generate robust, reproducible insights into the myocardial microstructure of cardiometabolic patients.
This interdisciplinary PhD provides training across cardiovascular imaging, computational modelling, machine learning, and clinical cardiology. The student will gain hands-on experience in advanced diffusion MRI acquisition and reconstruction, microstructural modelling, AI-driven data analysis, and multiparametric statistical evaluation. Training will include exposure to open-source computational tools, data harmonisation pipelines, and collaboration within Leicester’s cardiovascular imaging group and international research networks. Supervision will be provided by a multidisciplinary team with complementary expertise in imaging physics, AI, and clinical cardiology, ensuring a strong translational focus and alignment with ongoing multicentre initiatives.
Deadline : 28 June 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Examining the relevance and implementation of a core-outcome set for inpatient care for Children with Complex Care Needs in the NHS
Children with complex care needs (CCCN) represent a growing and increasingly visible population within paediatric healthcare, both in England and internationally1. Advances in medical care have improved survival, contributing to a sustained rise in the number of children living with complex care needs1. These children require frequent and prolonged hospital admissions, yet evidence suggests that outcomes and experiences for this group remain suboptimal1,2.
Research focused specifically on improving inpatient care for CMC remains limited. As attention to this area grows, it is important to ensure that appropriate and meaningful outcomes are identified to assess the impact of emerging interventions. Work to develop a core outcome set (COS) for this population is progressing internationally3; however, there is a need to establish the feasibility of collecting the required outcome data within routine NHS systems. Ensuring this will support consistent outcome measurement in future studies and enable meaningful comparison and synthesis of findings across research in this field4.
This PhD will examine the transferability and use of a new Core Outcome Set (COS), within the context of the English NHS. The research will explore the relevance and usability of this COS in the English NHS setting. The PhD will include:
1) Qualitative research with key stakeholders in England to explore the relevance of the COS across the range of paediatric NHS inpatient settings (including district general hospitals, tertiary centres, and hospitals with paediatric critical care facilities), incorporating perspectives from patients, families, and healthcare professionals.
2) Modification to the COS, if necessary, using a structured Nominal Group Technique.
3) Assessing the feasibility of collecting the COS data within NHS research studies, providing practical insight into implementation across diverse clinical settings.
Deadline : 22 June 2026
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: BHF Research Centre
This interdisciplinary studentship is funded through the British Heart Foundation Leicester Centre of Research Excellence. The Centre aims to advance cardiovascular research through three interconnected themes: Discovery, which uses genetics and related technologies to identify disease causes and predict risk; Interventions, which develops and refines treatments by translating laboratory findings to clinical practice; and Populations, which explores links between cardiovascular and other common conditions to tailor interventions for diverse groups. Central to this mission is the ambition to nurture the next generation of cardiovascular researchers—studentship holders will be integral to this vision, benefiting from world-class mentorship, structured development, and opportunities to build lasting professional networks.
This interdisciplinary studentship offers exceptional opportunities to engage in cross-theme and cross-disciplinary research, drawing on expertise from fields such as engineering, mathematics, social science, law, and economics. You will join a vibrant and supportive research community designed to stimulate collaboration and innovation, connect with leading experts across disciplines, and participate in events that open doors to future collaborations and research partnerships.
Deadline : 2 July 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: GTA funded Mathematics PhD Studentship
PhD Projects available for the GTA Studentship are listed below. Applicants should select their project and then refer to the ‘how to apply’ section for advice on how to apply. The application link is at the bottom of the page.
Dr. Larissa Serdukova – Market Regime Switching and Metastability under Non-Gaussian Lévy Noise
Dr. Matias Ruiz – Numerical Methods for Non-Classical Lippmann-Schwinger Equations in Wave Scattering
Dr Marco Fasondini – A sparse spectral element method on the sphere for numerical weather prediction
Dr. Behnam Hashemi – Validated numerics for matrix functions
Professor Paul D. Ledger – Data driven inverse techniques for object identification
Dr Josh Cork – The geometry of nuclei: skyrmions, holography, and gravitational instantons
Dr Bogdan Grechuk – Systematic and AI-Assisted Solving of Polynomial Diophantine Equations
Dr. Francesco Ragone – Beyond Critical Slowing Down: development of Early Warning Signals of tipping points based on Extreme Value statistics and tail dependence.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Space Stories at the National Archives
This fully funded PhD placement will offer the successful applicant a unique opportunity to work collaboratively with The National Archives (TNA) and the University of Leicester’s Leverhulme Centre for Humanity and Space (LCHS). It invites submissions for research projects that will focus on the relationship between archival and fictional materials concerned with outer space. Projects should aim to engage in depth with TNA’s extensive holdings of space-related documents, which touch on various aspects of the history of astronomy and space science, in order to bring them into dialogue with the cultural imagination and its sense of worlds beyond our own. The researcher’s basis at the LCHS will allow the applicant to investigate the vexed and permeable boundary between ‘fiction’ and ‘fact’ through the records, and to think about the ways in which they draw from and have affected literary and popular cultural trends and paradigms, and to consider how artistic and archival materials might explain and enliven one another.
While applicants are free to suggest their own lines of research that fit with the LCHS research strand of Communication, Representation and Experience, and which draw on materials from TNA, example topics might include: envisioning the architecture of space; early conceptions of space and space technology; the work of specific writers or movements read in light of documentary sources; early Astronomers Royal and the place of astronomy in Enlightenment politics; UFO records and popular depictions of extraterrestrial life; linking archival files and space museum objects. Applicants are however welcome to address any area that will enable them to examine attitudes, conceptions or anxieties around outer space in both cultural and archival terms in any historical period.
We invite research proposals interested in engaging with TNA records along these lines. Interested parties should outline as fully as they can how they intend to employ and explore the records, what provisional questions will animate their research, how they will investigate the records’ connections with wider cultural influences, and how they will contribute to LCHS research culture.
Deadline : 22 June 2026
Polite Follow-Up Email to Professor : When and How You should Write
Click here to know “How to write a Postdoc Job Application or Email”
(06) PhD Degree – Fully Funded
PhD position summary/title: University of Leicester School of Business – PhD fee waivers
Our PhD programmes offer an exciting opportunity to develop research skills and projects under the supervision of globally recognized researchers and leaders in Economics, Finance, Management, and Marketing.
PhD Economics. Our students have the opportunity to undertake research across a broad spectrum of theoretical and applied areas, including:
macroeconomics, microeconomics, econometrics, game theory, behavioural and experimental economics, industrial economics, labour economics, development economics, international economics, financial economics, monetary policy and banking; public economics, political economy, economic history.
Deadline : 30 June 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Innovation, Geopolitics and the Future of Europe in Space
The global space sector is undergoing one of the most significant transformations in its history. Rapid technological change, the rise of New Space companies, increasing private investment, AI-enabled systems, dual-use technologies, and growing geopolitical competition are reshaping the future of space activities. Space is no longer only about exploration. It increasingly underpins communications, security, Earth observation, navigation, critical infrastructure, and economic competitiveness.
Against this backdrop, Europe faces a major strategic challenge: how can it build a globally competitive and innovative space ecosystem while maintaining technological sovereignty and strategic autonomy?
This interdisciplinary PhD project will explore the future of the European space economy and examine how innovation ecosystems, industrial strategies, policy frameworks, and emerging business models shape Europe’s position in an increasingly competitive and multipolar world.
Deadline : 22 June 2026
About The University of Leicester, England –Official Website
The University of Leicester is a public research university based in Leicester, England. The main campus is south of the city center, adjacent to Victoria Park. The university’s predecessor, University College, Leicester, gained university status in 1957. The university had an income of £384.6 million in 2023/24, of which £74.5 million was from research grants.
The university is known for the invention of genetic fingerprinting, and for partially funding the discovery and the DNA identification of the remains of King Richard III in Leicester.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
Related Posts
