Open positions

Funded Post-Doctoral Position: Fluid Dynamics of Cerebrospinal Fluid Along the Optic Nerve

The Project in a Nutshell:
Altered cerebrospinal fluid (CSF) pressure and impaired CSF dynamics are hypothesized to be involved in the pathophysiology of elevated intraocular pressure, which is a risk factor for glaucoma, one of the most common causes of blindness worldwide. There is currently no non-invasive method to measure CSF pressure dynamics in the subarachnoid space of the optic nerve. In this project, we aim to derive a computational fluid dynamics model based on high-resolution image data to explore the link between intraocular pressure and CSF dynamics.

The Research Team:
Our team consists of the neuroradiology unit of the Cantonal Hospital Aarau (KSA), and The Interface Group at the University of Zurich. The KSA has a highly specialized neuro-research center with excellent medical-technical infrastructure for research. The Interface Group provides a creative, cross-disciplinary international work environment with outstanding infrastructure for computational research in biomedicine, physiology and biophysics.

The Applicant:
You are an expert in computational fluid dynamics with strong background in image processing. You have a PhD in biomedical engineering, biophysics or a related field. Ideally, you have experience with finite-volume CFD frameworks such as OpenFOAM and have developed flow and mass transport models based on medical image data. 

 

Funded PhD Student Position: Stroke diagnosis and risk stratification

The Project in a Nutshell:
Stroke is one of the leading causes of death and disability. In imaging studies, 5 to 10% of patients show carotid artery stenoses with degrees over 50%. This correlates with a 15% increase in the 5-year risk of stroke. Today, measurements of blood flow velocity and simple morphological metrics are used to asses which patients with carotid artery stenosis should be treated. However, this approach leads to over-treatment: one case of stroke is prevented for each 15 to 20 invasive interventions. In this project, we aim to combine imaging with computational modeling to establish narrower margins for treatment of carotid artery stenoses, thereby reducing unnecessary interventions and therewith associated complications.

The Research Team:
Our team consists of the Institute of Diagnostic and Interventional Radiology at the University Hospital Zurich (http://www.radiologie.usz.ch/) and The Interface Group at the University of Zurich. The Institute of Radiology is a leading entity in clinical imaging and image analysis, using both conventional and machine learning approaches. The Interface Group provides a creative, cross-disciplinary international work environment with outstanding infrastructure for computational research in biomedicine, physiology and biophysics. This unique constellation of clinical and basic sciences enables fast translation of research findings to benefit patients.

The Applicant:
Your goal is to have an impact on the lives of patients. You are intrigued by the potential of combining clinical and experimental data with computational modeling and data analysis. You are comfortable with working alongside medical doctors, as well as writing code and analyzing data on the computer.

 

Research Fellow, Post-Doctoral and PhD Student Positions

If you would like to pursue a topic within our research area and are willing to acquire funding for that work, please contact Prof. Kurtcuoglu to explore options.

Semester, Bachelor and Master Projects

We are looking for talented students to join our team. You can find an overview of currently open projects here.