PhD Studentship: Computational Simulation of Nanomedicine for Coronary Microvascular Disease

🏥 Join the Frontier of Cardiovascular Healthcare

Cardiovascular diseases can cause severe clinical events and have consisted a leading cause mortality globally. The coronary artery disease (CAD) and coronary microvascular dysfunction (CMVD) are two major mechanisms of myocardial ischemia. Currently, the accurate diagnosis of CMVD depends on invasive measurement. Early detection and efficient treatment of CMVD are still challenging in clinical practice.

🌐 Innovative Solutions: Computational Simulation of Nanomedicine

To meet the clinical need, patient-specific dynamic computational fluid dynamics (CFD) simulation has been developed for hemodynamic evaluation of CAD and CMVD. On the other hand, nanomedicines based on different nanoparticles have been developed for the detection and treatment of CAD and CMVD, where the personalized optimization of the treatment plan deserves further investigation. This approach not only streamlines the data-driven personalized cardiovascular medicine but also mitigates the burden on medical resources.

💡 PhD Opportunity: A Step Towards Precise Cardiovascular Medicine for CMVD

In this PhD project, we aim to develop a novel computational method to achieve non-invasive, personalized optimization of nanomedicine for CMVD. Multimodal hemodynamic parameters will be derived from CFD simulation of the coronary circulation based on patient-specific radiological imaging data and physiological parameters. A multiphysics simulation model will be developed to investigate the features of nanomedicine distribution on microvascular level. Finally, the model will be validated on new clinical datasets to achieve reliable evaluation on the treatment efficacy of nanomedicine in patients with different severities of CAD and CMVD.

👉 Requirements and Expectations

We are looking for highly motivated candidates who have a strong interest in developing innovative healthcare technologies and has a broad understanding of cardiac physiology. The PhD project requires working with clinicians and computer scientists at different stages along the development pathway – and will lead to high-quality publications. It will involve clinical data analysis, and a variety of computing work (including computational modelling, nanotechnology, and cardiology).

🚀 Why Choose Us?

• Cutting-edge Research: Engage in pioneering research for cardiovascular healthcare, nanomedicine, and computational simulation.
• Collaborative Environment: Join a dynamic and collaborative research community dedicated to pushing the boundaries of knowledge.
• Real-world Impact: Your research will have tangible implications for healthcare, reshaping the ecosystem of cardiovascular medicine.
• Expert Guidance: Benefit from the mentorship of seasoned researchers, clinicians, and technical experts committed to your academic and professional growth. 

Entry criteria for applicants to PhD 

• A bachelor’s (honours) degree in a relevant discipline/subject area with a minimum classification of 2:1 and a minimum mark of 60% in the project element (or equivalent), or an equivalent award from an overseas institution.
  PLUS 
• the potential to engage in innovative research and to complete the PhD within 3.5 years
• An adequate proficiency in English must be demonstrated by applicants whose first language is not English. The general requirement is a minimum overall IELTS Academic score of 7.0 with a minimum of 6.5 in each of the four sections, or the TOEFL iBT test with a minimum overall score of 95 with a minimum of 21 in each of the four sections.

For further details please visit: https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/research-entry-criteria/

https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/  

To find out more about the project, please contact Haipeng Liu.

All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.