爱尔兰皇家外科医学院PhD position in Simulation-Based Imaging申请条件要求-申请方
主办方
爱尔兰皇家外科医学院
PhD直招介绍
About the Project
Imagine faster, clearer MRI scans that can accurately map blood flow in the heart and blood vessels. Simulation-Based Imaging (SBI) is a cutting-edge technology that combines medical imaging with advanced computer simulations to overcome the limitations of current 4D-Flow MRI scans, which can be slow, noisy, and low in resolution. By integrating blood-flow physics directly into the image reconstruction process, SBI aims to generate sharper and more detailed images while significantly reducing scan times.
This PhD project will develop and validate a novel SBI framework for cardiovascular imaging. The research will combine computational fluid dynamics (CFD), medical imaging, high-performance computing, and experimental validation to create next-generation imaging tools for cardiovascular disease. Ultimately, the project seeks to improve the diagnosis and treatment of conditions such as heart attacks, stroke, aneurysms, and congenital heart disease.
Main Aim:
To develop a new Simulation-Based Imaging framework that combines MRI data with advanced blood-flow simulations to produce faster, higher-resolution, and more clinically useful cardiovascular imaging.
Key Objectives:
Develop a novel SBI framework that integrates blood-flow physics with MRI reconstruction.
Create ultra-high-resolution cardiovascular flow images using computational simulations.
Validate the technology using synthetic data, laboratory experiments, and patient imaging datasets.
Demonstrate the potential of SBI to improve cardiovascular diagnosis and treatment planning.
This project sits at the intersection of engineering, medicine, artificial intelligence, and advanced imaging. It offers the opportunity to help create a technology that could revolutionise cardiovascular disease management by providing faster scans, clearer images, earlier diagnosis, and better treatment decisions for millions of patients worldwide.
爱尔兰皇家外科医学院Phd申请条件和要求都有哪些？PhD position in Simulation-Based Imaging项目是不是全奖？有没有奖学金？下面我们一起看一下爱尔兰皇家外科医学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Application Specifications:
Applicants must meet the entry requirements for admission to a Doctor of Philosophy (PhD) programme at RCSI University of Medicine and Health Sciences. Candidates should hold a First Class or Upper Second Class Honours degree (2.1) or international equivalent in Biomedical Engineering, Mechanical Engineering, Medical Physics, Computational Engineering, or a closely related discipline.
Applicants whose first language is not English must satisfy RCSI’s English language requirements for postgraduate study. Typically, this includes an IELTS score of 6.5–7.0 overall (or equivalent qualification accepted by RCSI). Further details are available in the RCSI Postgraduate Admissions Guidelines.
Essential Requirements
First or Upper Second Class Honours degree (2.1) or international equivalent in Biomedical Engineering, Mechanical Engineering, Medical Physics, Computational Engineering, or a closely related discipline.
Demonstrable knowledge of medical image processing and/or computational fluid dynamics (CFD).
Proficiency in at least one relevant software environment, such as MATLAB, Python, ANSYS, OpenFOAM, or equivalent.
Strong analytical, computational, and quantitative problem-solving skills.
Genuine interest in cardiovascular biomechanics, medical imaging, and computational medicine.
Willingness to undertake both computational and experimental research, including the design, construction, and testing of cardiovascular flow phantoms for MRI validation studies.
Ability to work with pumps, tubing systems, blood-mimicking fluids, and 3D-printed vascular models to recreate physiological blood flow conditions in a laboratory environment.
Excellent written and verbal communication skills in English.
Ability to work independently and as part of a multidisciplinary research team.
Desirable Requirements:
Familiarity with finite element, finite volume, or other numerical simulation methods.
Experience with cardiovascular flow experiments, flow-loop systems, Particle Image Velocimetry (PIV), or experimental fluid mechanics.
Experience in designing, manufacturing, or testing physical phantoms, including the use of 3D printing technologies.
Experience with laboratory instrumentation, pumps, sensors, and data acquisition systems.
Evidence of scientific writing, such as a thesis, dissertation, conference paper, journal publication, or technical report.
Interest in translational research and the development of technologies with clinical impact.
报名方式
招生人信息
Dr N Aristokleous, Dr CC Conway
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