Application deadline 30 August 2020
The PHD position will be in the Biomechanics research group at NTNU and supported by the ENTHRAL project for Non-invasive in-vivo assessment of local stiffness of human artery walls. The stiffness of the arterial wall is closely linked to cardiovascular health. Accurate knowledge of arterial wall stiffness can provide valuable diagnostic information for medical care and insights into the progression of cardiovascular diseases. The ambition of the project is to enable personalized treatment of cardiovascular diseases based on the integration of an individualā€™s characteristics and personal physical modelling.
State of the art methods do not provide localized information about the stiffness of the arterial walls. The goal of this project is to develop a non-invasive method for quantifying local arterial stiffness based on ultrasound imaging, fluid-structure interaction simulations, inverse problems. This method may provide valuable information for the study and treatment of diabetes, hypertension, coronary artery disease, kidney disease, heart failure and strokes.
The PhD candidate will collaborate with researchers at NTNU, Silesian University of Technology, and Gliwice Municipal Hospital No 4. The focus of this PhD project will be to conduct uncertainty quantification and sensitivity analysis of the fluid-structure interaction models (1D and 3D) to improve the design of the measurement method and inverse problem solution and to characterise its robustness.
Within the biomechanics group, the candidate will be connected to related projects that focus on applying modelling and computation to advance personalized medical care. Some examples are My Medical Digital Twin and Model based, noninvasive diagnosis of coronary artery disease with 3D ultrasound and CT. The group also collaborates with the Cardiac Exercise Research Group and TrollLABS at NTNU as well as St. Olavs University Hospital in Trondheim. The period of employment is 3 years.
Full information and instructions on how to apply can be found here
