The EPSRC University Doctoral Landscape Award funded PhD projects in the Faculty of Medicine are listed below under each mini-cohort. PhD projects within each mini-cohort are aligned to a collaborative, cross-departmental, multi-disciplinary programme of research that integrate the medical and physical sciences.

Deep mapping of the myocardium at scale

Cohort lead: Dr Andrew Scott, National Heart and Lung Institute

Computational Simulation Driven In-Vivo Microvascular Characterisation

Primary supervisor: Dr Andrew Scott, National Lung and Heart Institute
Co-supervisor: Professor Denis Doorly, Department of Aeronautics

 
Note: Open to home and international candidates
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).
 
Project title: Computational simulation driven in-vivo microvascular characterisation
 
Project abstract: We are developing a unique MRI technique known as STEAM-IVIM to simultaneously examine the cellular and vascular structure and function of the heart on a microscopic scale. STEAM-IVIM is noninvasive and has been shown to work effectively in healthy subjects. However, the mathematical models currently used to interpret the data over-simplify the structure of blood vessels on a microscopic scale, the flow within the vessels and the transport of water across the blood vessel wall. Here we will develop computational models of blood flow and water diffusion on the microscopic scale. These computational models will inform our development of novel data acquisition and analysis techniques for in vivo simultaneous assessment of perfusion and microstructure which we will then validate during the PhD. The methods developed will be ready for testing in patient groups and will deliver new insights into the heart in health, disease and ageing and assist in diagnosing a number of prevalent heart conditions.
 
The project will involve computational simulation, MRI physics, experimental data acquisition and analysis and performing studies in human cohorts using state-of-the-art clinical MRI scanners (Siemens Cima.X, Royal Brompton Hospital).  The student will collaborate with a team of physicists, aeronautical engineers, computer scientists and cardiologists. The project would suit a candidate with a good background in engineering, physics, computer science, biomedical imaging, or similar; with strong coding and practical experimental skills; and an interest in MRI physics, signal processing, numerical simulations. Experience with cardiac MRI, the physiology of perfusion or Monte-Carlo simulations is a bonus.
*Investigating Cardiac Muscle Microstructural Changes as Early Marker of Cardiac Ageing and of Cardiac Disease Development

Primary supervisor: Dr Sonia Nielles-Vallespin, National Lung and Heart Institute
Co-supervisor: Professor Daniel Rueckert, Department of Computing
Co-supervisor: Dr Pedro Ferreira, National Lung and Heart Institute

Please note:

  • Open to home and international candidates. Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).
  • *This project is offered with a departmental studentship, and is not EPSRC funded. The successful candidate for this project will not be eligible for certain EPSRC-funded initiatives outside the PhD. Examples include UKRI Policy Internships and the Royal Institution Internships. However submission to the FoM Dean's PhD Professional Development Awards is permitted to fund other initiatives.

Project title: Investigating cardiac muscle microstructural changes as early marker of cardiac ageing and of cardiac disease development

Project abstract: The complex and unique microstructural arrangement of cells inside the heart muscle underlies cardiac contraction. Microstructural changes in the myocardium often precede macroscopic changes in heart disease and lead to poor outcomes in patients with identified cardiac pathologies.

 
We hypothesise that changes in heart muscle microstructure, micro-circulation, electrophysiology and omics are markers of ageing and precede overt macroscopic evidence of ageing, providing a unique opportunity for early intervention and sensitive monitoring of treatment efficacy.
 
Our group is leading development in cardiac diffusion tensor imaging (cDTI), the only method which can characterise cardiac muscle microstructure in vivo and non-invasively. By sensitising MRI contrast to the displacement of diffusing water molecules, cDTI delivers a diffusion tensor, reflecting the anisotropy and orientations of the structure on a microscopic scale. While diffusion-based MRI techniques are widely used clinically in less mobile organs such as the brain, cDTI is complicated by the orders of magnitude difference between cardiac motion and diffusion. As a result, cDTI is currently confined to clinical research due to its inefficiency, limited coverage and spatial resolution. A whole heart cDTI scan at modest spatial resolution currently requires ~4h. Artificial intelligence (AI) can speed up and improve cDTI data acquisition, reconstruction and post-processing. Our preliminary work has shown the utility of AI in denoising cDTI data, enabling simultaneous acquisition of multiple slices, enabling undersampled acquisitions and automated processing of the data. Here we propose physics and computer science based approaches to deliver substantial moves towards clinically useable cDTI via rapid whole heart high resolution cDTI and integration with the other physiologically grounded measures under development in our proposal.
 
We aim to develop a 30 min, AI enabled high resolution, whole heart cDTI acquisition, and merge cDTI data with IVIM, EP and spatial omics data to understand cardiac ageing.
Multimodal 3D Reconstruction of the Human Heart to Uncover Links Between Structure, Gene Expression, and Cellular Niches

Primary supervisor: Dr Michela Noseda, National Heart and Lung Institute
Co-supervisor: Dr Chris Cantwell, Department of Aeronautics
Co-supervisor: Dr Sonia Nielles-Vallespin, National Heart and Lung Institute

Note: Open to home and international candidates.
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).

Project title: Multimodal 3D Reconstruction of the Human Heart to Uncover Links Between Structure, Gene Expression, and Cellular Niches

Project abstract: Cardiovascular disease remains a leading cause of death worldwide, yet the mechanisms that drive its onset and progression are still incompletely understood. A central challenge is that cardiac function emerges from the precise three-dimensional (3D) organisation of cardiac cells cells and their local environment. When this architecture becomes disrupted, as in cardiomyopathy, contractile performance declines. However, how changes in tissue structure relate to shifts in cell identity and intercellular communication remains largely unresolved.

Single-cell transcriptomics and spatial profiling studies indicate that cardiac cells are organised in distinct patterns across different cardiac regions reflecting different function. Early observations in diseased tissue suggest that these patterns are altered, pointing to a close coupling between structure and cellular behaviour. Yet most existing approaches lack the ability to capture these relationships in 3D or to integrate structural and molecular information across scales. There is therefore a critical need to study intact human myocardium using approaches that preserve both architecture and cellular context.

In this project, we will develop an integrated multimodal framework to reconstruct the human heart in 3D, combining advanced imaging, spatial molecular profiling, and computational modelling. This approach will enable us to map how myocardial structure aligns with cell identity and local communication networks in both health and disease.

This work will provide pipeline and a foundation for understanding how complex tissue architecture governs function in the human heart tissue and beyond. We expect to define key principles linking 3D tissue organisation to cellular state and interaction, and to identify features of structural disruption associated with disease.

Acoustoelectric Imaging for Transmural Ventricular Activation Mapping and 4D Substrate Characterisation

Primary supervisor: Professor Fu Siong Ng, National Lung and Heart Institute
Co-supervisor: 
Dr Carlos Cueto, Department of Earth Science and Engineering
Co-supervisor: Professor Mengxing Tang,  Department of Bioengineering

Note: Open to home and international candidates.
Tuition fees will be covered at the EPSRC rate (currently £5,006) and international candidates will be required to cover the remaining fees. International tuition fees are currently £45,850 per annum (in the Faculty of Medicine).

Project title: Acoustoelectric Imaging for Transmural Ventricular Activation Mapping and 4D Substrate Characterisation

Project abstract: Ventricular tachycardias (VT) are life-threatening arrhythmias responsible for significant morbidity and mortality. Although catheter ablation offers the potential for cure, recurrence rates remain unacceptably high - partly because existing electroanatomical mapping technologies are confined to the endocardial or epicardial surface and cannot resolve mid-wall (intramural) electrical activity. Critical arrhythmogenic substrates deep within the myocardium are therefore routinely missed, undermining the precision of ablation therapy.

This project will develop and validate acoustoelectric imaging (AEI) as a transformative new modality for cardiac electrophysiology. AEI exploits the acoustoelectric effect, whereby a focused ultrasound pulse interacts with tissue resistivity to generate electrical signals that encode local current density. This enables volumetric mapping of cardiac electrical activity with high spatial and temporal resolution - extending far beyond the tissue surface and through the full ventricular wall.

Working across Imperial College London's National Heart and Lung Institute and Department of Bioengineering, the PhD student will:

  1. build and optimise a cardiac AEI hardware and software platform
  2. characterise system performance in tissue-mimicking phantoms
  3. validate transmural 4D activation mapping against established techniques in isolated perfused hearts
  4. assess the ability of AEI to detect ablation lesions and differentiate healthy from scarred myocardium

The project will conclude with a translational design roadmap for future in vivo studies. Success will deliver the first imaging modality capable of capturing full-thickness ventricular activation sequences in four dimensions, with direct implications for improving ablation outcomes and reducing VT recurrence.

Synthetic cells (SynCells) as a smart-responsive healthcare technology

Cohort lead: Dr Ravinash Krishna Kumar, Department of Infectious Disease

Engineering Synthetic Tissues for Targeted Antimicrobial Delivery Against Resistant Biofilms

Primary supervisor: Dr Ravinash Krishna Kumar, Department of Infectious Disease
Co-supervisor: Professor Doryen Bubeck, Department of Life Sciences

 
Note: This project is open to home fee status candidates only
 
Project title: Engineering Synthetic Tissues for Targeted Antimicrobial Delivery Against Resistant Biofilms
 
Project abstract: Antimicrobial resistance (AMR) represents one of the most pressing global health challenges, with biofilm-forming Gram-negative pathogens causing recurrent and difficult-to-treat urinary tract infections (UTIs). This interdisciplinary PhD project aims to develop a groundbreaking solution: synthetic tissues (SynTissues) capable of delivering antimicrobial payloads directly to infection sites while preserving the host microbiome. This project will engineer 3D-printed networks of synthetic cells organized into tissue-like architectures (100-500 µm) that enable precise, localized delivery of combination antimicrobials. By integrating large bacterial-derived membrane pores inspired by gut symbionts, these SynTissues will release both small molecule antibiotics and large antimicrobial peptides/bacteriocins directly onto biofilms, minimizing off-target effects and reducing dosage requirements. This research has the potential to transform AMR treatment strategies by enabling site-specific antimicrobial delivery, reducing systemic antibiotic use, and preserving microbial homeostasis. The SynTissues platform could extend beyond UTIs to other biofilm-associated infections, representing a paradigm shift in precision antimicrobial therapy.
 
This project is a collaboration between the Krishna Kumar and Bubeck laboratories, offering access to state-of-the-art facilities and expertise in synthetic cell engineering, membrane protein characterization, and antimicrobial research. The student will receive comprehensive training in advanced microscopy, protein purification, biofilm assays, and 3D printing technologies.
The Development of Synthetic Cell Technologies for Tackling Prostate Cancer

Primary supervisor: Professor Charlotte Bevan, Department of Surgery & Cancer 
Co-supervisor: Professor Oscar Ces, Department of Chemistry

 
Note: This project is open to home fee status candidates only
 
Project title: The development of synthetic cell technologies for tackling prostate cancer
 
Project abstract: Synthetic cells are minimal, cell-like systems built by bottom-up construction from biomolecules including lipids, proteins, and nucleic acids, functioning as programmable biological nanorobots. They are able to mimic selected cellular behaviours and their precisely defined architecture enables robust control, responsiveness to stimuli, and predictable safety profiles. Therapeutically, synthetic cells have the potential to target diseased tissues by sensing microenvironments, release drugs on cue and locally produce therapeutic agents.  This studentship will exploit the exciting therapeutic potential of synthetic cells to tackle advanced prostate cancer (PCa).
 
Despite increases in overall survival afforded by the development of multiple new treatments PCa remains lethal due to eventual, inevitable treatment resistance. Current therapies are associated with undesirable side-effects and systemic toxicities which decrease compliance and adversely affect patients’ quality of life. Thus, there is an urgent unmet clinical need in inoperable, therapy resistant PCa for the  development of innovative treatment strategies with novel mechanisms of action that are effective and well-tolerated. We aim to address this pressing need by loading novel treatment strategies into “synthetic cells” that can respond specifically to the prostate tumour microenvironment to release their payload in a targeted, tumour cell-specific manner.
 
The project will exploit a variety of techniques to design and make the synthetic cells before going on to test their therapeutic potential.  This will include the use of microfluidics, microscopy, automation, AI and machine learning to undertake closed-loop development of synthetic cells including their manufacture and drug loading capabilities.
Extracellular Vesicle RNA signatures as Biomarkers for In Situ Activation of Synthetic Cell Therapeutics

Primary supervisor: Dr Beth Holder, Department of Metabolism, Digestion and Reproduction
Co-supervisor: Dr Yuval Elani, Department of Chemical Engineering 

Note: This project is open to home fee status candidates only

Project title: Extracellular vesicle RNA signatures as biomarkers for in situ activation of synthetic cell therapeutics   

Project abstract: We are building a new class of autonomous synthetic cell therapies: engineered systems that read the molecular language of disease and respond only when needed. This project will create synthetic cells capable of detecting RNA signatures carried within extracellular vesicles (EVs) and using them as triggers to produce and release therapeutic outputs in situ. These are treatments that switch on only in the presence of pathological signals, and will constitute a step-change toward precision, self-regulating therapeutics.

Our first application targets a major unmet medical challenge of human cytomegalovirus (HCMV). HCMV infection is a serious risk in transplantation, where viral reactivation leads to severe complications, and it remains a leading cause of congenital disability. Recent evidence shows that circulating EVs transport distinctive RNA fingerprints of viral activity. The long-term vision is a platform generalisable to any disease characterised by a unique EV RNA profile.

This interdisciplinary PhD brings together physical sciences innovation from the Elani Lab with expertise in EV biology from the Holder Lab. You will engineer a synthetic-cell sensing platform built upon the following core technologies: (i) cell-free gene expression for programmable biochemical computation; (ii) Membrane engineering to tune EV/Synthetic Cell interactions (iii)  Microfluidic technologies for high-throughput SynCell generation and screening (iv) EV isolation from HCMV-infected cells to provide disease signals for system validation.

We are keen to hear from creative scientists eager to work at the interface of molecular engineering, biomedicine, chemical biology, and synthetic biology. You will thrive here if you’re excited by building entirely new biological systems, and using them to solve biomedical challenges.

Engineering Synthetic Vesicle Platforms for Programmable Immune Training And Vaccine Delivery
Primary Supervisor: Professor John Tregoning , Department of Infectious Disease
Co-supervisor: Dr Claudia Contini, Department of Life Sciences
 
Note: This project is open to home fee status candidates only
 
Project title: Engineering synthetic vesicle platforms for programmable immune training and vaccine delivery 
 
Project abstract: Nanoparticle-based therapeutics face challenges in clinical translation due to unpredictable immune responses driven by protein corona formation. The protein corona, formed upon exposure to biological fluids, modulates immune recognition and determines therapeutic outcomes, yet remains poorly understood and difficult to control.
 
This project will develop synthetic vesicle platforms to establish quantitative relationships between vesicle physical properties and immune responses. By systematically varying membrane composition, mechanical properties, and surface chemistry, we will map how these parameters influence protein corona composition and subsequent immune cell activation. Proteomic analysis and immunological profiling will identify design rules linking material properties to biological function.
 
The outcomes will provide a predictive framework for rational nanotherapeutic design, enabling development of vesicle-based vaccines and immunotherapies with controlled immune outcomes.

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