Post-Doc Positions
None at the moment
================================================================

For formal application/guidance, please visit: http://www.mace.manchester.ac.uk/study/postgraduate-research/apply/

For available funding opportunities, please visit: http://www.mace.manchester.ac.uk/study/postgraduate-research/funding/

Funded PhD Projects
Development of a Heart Bypass Surgery Optimisation Tool [Fully-Funded]

Abstract: Coronary artery bypass grafting (CABG) represents the most common type of heart surgery in the world. One key issue which affects the long-term results of CABG and leads to repeat symptoms and re-interventions is graft failure which occurs in up to 20% of patients within 5 years of surgery and in approximately 50% of patients within 10 years. Despite all the advances in medical images and healthcare technologies, when performing CABG, surgeons currently have no information on the haemodynamic efficiency of different patient-specific ‘revascularisation scenarios’.

This PhD project aims to use the state-of-the-art CFD techniques combined with advanced medical image processing techniques to develop a ‘clinical-based optimisation criteria’ to be implemented in a software platform, developed by the supervisory team at the University of Manchester and their clinical collaborators. The successful applicant will join a newly-established spin-out from the University of Manchester (www.theCASP.com). This project will have both scientific and commercial potentials and the successful applicant will join the ManchesterCFD research team and will benefit from world-class research facilities at the University of Manchester. This project also benefits with direct collaboration with industrial partners.

Requirements: EU/UK nationals only. An undergraduate or Master’s degree in mathematics, physics or engineering background. Previous experience CFD and/or biomedical engineering are highly desirable.

Application: Apply via a link to www.findaPhD.com 

Deadline: 13 Sep 2019

---------------------------------------------------------------------------------------------------------------

Self-Funded PhD Projects
Computational and Experimental Study of A Novel Endovascular Treatment of Intracranial Aneurysms [Self-Funded]

Abstract: In this project, using advanced Computational Fluid Dynamics and experimental techniques, we propose to investigate the feasibility of a new endovascular treatment procedure based on applying an internal coating to the intracranial aneurysm using a polyurethane-based resin derived from natural resources. The proposed coating material will be delivered using a novel endovascular technique which uses an extra compliant flexible balloon microcatheter with coaxial lumens. Unlike any other aneurysm treatment techniques, this procedure will be based on sealing the orifice neck before applying the coating material. Sealing the orifice neck during the proposed procedure has two main advantages: 1) it stops the blood flow from the parent artery to the aneurysm, and 2) it reduces the risk of haemorrhage in an unlikely event of aneurysm rupture during the procedure. Given the mechanical and biochemical properties of the proposed coating material, following the application to the inner layer of the aneurysm, it will significantly strengthen the aneurysm wall (through reducing von Mises aneurysm wall stress) and consequently, would avoid its further growth and/or rupture.

Skills Required: Essential: Strong background in experimental or numerical fluid mechanics. Desirable: Experience in Biomedical Engineering or Computational Fluid Dynamics.

Development of A Novel Biomedical Engineering Kit to Fight Obesity [Self-Funded]

Abstract: The aim of this research project is for the first time to design, develop and test a novel engineering kit which would play an important tool in fighting obesity in the general public, particularly in children and adolescents. This portable experimental kit would replicate the pulsatile blood flow in an accurate human cardiovascular system, simulating one of the three underlying health issues associated with obesity namely high blood pressure, high blood sugar and lack of physical activity. The novelty and creative aspects of this project is the development of a method to visualise the above features in an in vitro setup. This requires original research in both measurement techniques and also fluid flow. Using the expertise available in the School of MACE at the University of Manchester, the Computed Tomography (CT) scan from the chest of a healthy individual (using an existing database available to the supervisory team) will be used to manufacture sets of state-of-the-art transparent, accurate and flexible silicon models. Some additional equipment used in  this project include: a pulsatile pump; a high definition camera; an iPad for monitoring the output; a set of accessory kit with extra tubing; and a fluid with properties similar to the blood. This is an exciting project with engineering design and innovation at the heart of research. It also has potential for significant impact on the lives of many people through raising awareness about the consequences of obesity and poor diet.

Skills Required: Essential: Strong background in Fluid Mechanics. Desirable: Background in Biomedical Engineering or Experimental Fluid Mechanics.

Biomechanical Investigation of Repaired Tetralogy of Fallot and Coarctation of Aorta [Self-Funded]

Abstract: Congenital Heart Disease (CHD) is a heart condition resulting from an abnormality in heart structure or function that is present at birth. In the UK alone, there are about 4,600 babies born with congenital heart disease each year. Computational Fluid Dynamics (CFD) has had a profound impact on cardiovascular medicine in the past decade and will be used in this PhD project to assess its potential as an assistive tool in diagnosis and treatment of two CHD conditions, namely Tetralogy of Fallot (ToF) and Coarctation of Aorta (CoA). This interdisciplinary project will also identify haemodynamic features that correlate with need for re-operation in the case of ToF and as a tool to predict hypertension in CoA.

The overall aim of this interdisciplinary PhD project is to explore the potential of novel Computational Fluid Dynamic (CFD) approaches in modelling two CHD lesions including Tetralogy of Fallot (ToF) and Coarctation of Aorta (CoA) and to accelerate the development of innovative nonsurgical (catheter/transcutaneous) solutions. This is achieved through the following main objectives: 1) Data collection from 8-10 child patients; 2) Conduct CFD simulations to evaluate key hemodynamic conditions for both ToF and CoA; 3) Perform morphological characterisation of the image sets and compare with CFD to identify post-repair evolution in the patient-specific models; 4) Incorporate additional data from the registry such as genetic characterisation and modifiable/non-modifiable risk factors into a data-mining framework.

Skills Required: Essential: Strong background in Fluid Mechanics. Desirable: Background in Biomedical Engineering or Experimental Fluid Mechanics.

Haemodynamic Performance of Spiral Grafts Using Eulerian and Lagrangian Frameworks [Self-Funded]

Abstract: The identification of the natural blood motion as a swirling flow in the whole arterial system has resulted in new promising lines of research of cardiovascular devices. This PhD project is focused on the design of a novel spiral-inducing prosthetic graft, the performance of which is based on the induction of the swirling flow by means of a helical ridge in the internal wall of the graft. Traditional haemodynamics tends to consider the blood as a continuous fluid, neglecting the physiological rheology of the blood. However, particle transport models, with support of the traditional approaches using Eulerian methods, allow the computational characterisation of particles motion and particle-wall interaction modelling that, together with experimental analyses, can potentially lead to bridge the gap between the pathology of vascular diseases and fluid dynamic metrics and the potential that particle tracking could provide to directly study regions of depositions without the need of intermediary hypothesis. The proposed PhD project therefore will investigate the above methods for biomedical applications including the bypass graft and will compare the Eulerian and Lagrangian haemodynamic metrics for different cardiovascular applications.

Skills Required: Essential: Strong background in Fluid Mechanics. Desirable: Background in Biomedical Engineering or Experimental Fluid Mechanics.

Development of a Novel Hybrid Image Processing Technique for Patient-Specific Coronary Arteries [Self-Funded]

Abstract: Endothelial erosion is responsible for nearly 31% of heart attacks and represents a massively understudied contributor to the 200,000 heart attacks that occur each year in the UK. It occurs when the inner lining of the artery (endothelium) detaches, triggering a blood clot that stops sufficient blood supplying the heart, causing a heart attack. Endothelial cell behaviour is fundamentally controlled by the blood flow pattern to which they are exposed, however, the flow environment that erosions occur in has not yet been determined. Optical Coherence Tomography (OCT) is a near infrared imaging technique that allows clinicians to view the artery from the inside and look deep into the artery wall. OCT allows endothelial erosion to be distinguished from plaque rupture and give high definition reconstruction of the luminal surface. In this project, we will combine OCT with angiography using a novel/semi-automated algorithm, which allows a very accurate 3D reconstruction of the artery to be created. In this project the student will be using state-of-the-art Computational Fluid Dynamics simulation codes and computational facilities to simulate the blood flow for patient-specific coronary arteries using the hybrid OCT/angiography images.

Skills Required: Essential: Strong background in Fluid Mechanics. Desirable: Background in Biomedical Engineering or Experimental Fluid Mechanics.

===============================================================================================================

Expired Jobs

PDRA in Cardiovascular Biomechanics

Description:  A Post-Doctoral Research Associate (PDRA) position is available for 12 months for an outstanding and ambitious research engineer in the area of biomedical engineering and cardiovascular biomechanics. The main focus of this post is to work on a research project funded by the Medical Research Council (MRC) to run Computational Fluid Dynamics (CFD) simulations on several patient-specific geometries with an aim of optimising the surgical configurations for patients who have undergone Coronary Artery Bypass Grafting (CABG) surgery.

You will work as part of a dynamic research team (www.ManchesterCFD.co.uk) in the School of Mechanical, Aerospace and Civil Engineering which has world-class research facilities.

You will be expected to have a PhD in CFD with experience in biomedical engineering. You will be working closely with engineers, biologists and clinicians; therefore excellent communication skills both written and oral are critical for the success of this research. You will also be expected to provide a leading role in writing technical reports and grant applications and providing supervision for the research students, if required. In addition you will be expected to arrange regular meetings/provide reports for the research/industrial partners.

Application: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=15837