This 4-year position is situated at KULeuven Campus Kortrijk (KULAK) in the HeartKOR research group lead by Prof. Hans Dierckx. It involves close collaboration with the medical imaging group of Prof. Jan D’hooge and clinical cardiologist Prof. Joris Ector, both working at Leuven University Hospital (Gasthuisberg, Leuven). The HeartKOR research group, located close to the city of Kortrijk, is using applied mathematics and mathematical physics to establish a better comprehension of spatiotemporal excitation patterns in the heart during rhythm disorders, see link below. Other activities of the unit involve computational modelling, theoretical modelling using differential geometry methods and complex analysis and machine learning approaches to build predictive models from data.
Heart rhythm disorders are one of the major causes of death globally, claiming about 16 million lives annually. Although different rhythm disorders can be classified based on the electrocardiogram, the precise temporal organisation of the electrical activity in the heart during arrhythmias remains incompletely understood.
To reconstruct the precise spatiotemporal patterns in patients from non-invasive recordings is currently an unsolved challenge. In this project, 3D volumetric deformation data of the cardiac wall will be collected from arrhythmia patients with ultrasound technology developed by former ERC-grantee Prof. Jan D’hooge. The selected candidate will build forward and inverse models to recover the spatiotemporal activation sequence of the myocardial wall from these images, taking into account the physical laws of non-linear wave propagation in the heart. As such, the output of this project is expected to provide three-dimensional renderings of the cardiac excitation sequence with unprecedented detail.
Candidates must hold a recent Master’s degree in Mathematics or Physics, or a Master’s degree in Engineering obtained at university level in a relevant subdiscipline (e.g. applied physics engineering, biomedical engineering, mathematical techniques in engineering, …). Candidates that have already obtained a PhD cannot be selected.
No specific prior knowledge on the medical side or cardiac excitation sequences is required as this can be learnt during the project. However, the candidate should have excellent programming and analytical thinking skills.
Candidates should be motivated, independent, critically thinking and should have a strong team-player mentality. Proficiency in Dutch or English is required, as well as good communication skills, both oral and written. They can also be asked to contribute to the teaching activities at Kortrijk, to Bachelor students in Mathematics, Physics and Engineering.
Motivation letters are free in format but should clearly mention why you are interested in this particular position and demonstrate that you satisfy the listed requirements.
or more information, please contact Prof. Hans Dierckx (KU Leuven) via email@example.com
You can apply for this job until August 2, 2021 via the online application tool of KU Leuven, which requires uploading a CV (with obtained grades) and motivation letter. Interviews can take place via video-conferencing. Candidates on the shortlist will be given an example programming problem to demonstrate their skills. The expected starting date for the position is between October 2021 and January 2022.
You can apply for this job no later than August 02, 2021 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.Continue reading
|Title||PhD Student: Reconstruction of Excitation Patterns Inside the Cardiac Wall From 3D Ultrasound Imaging|
|Job location||Oude Markt 13, 3000 Leuven|
|Published||June 24, 2021|
|Application deadline||August 2, 2021|
|Job types||PhD  |
|Fields||Biomedical Engineering,   Biomedicine,   Medical Imaging,   Cardiology,   Applied Mathematics,   Mathematical Physics,   Applied Physics,   Computational Mathematics,   Image Processing,   |