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Signal analysis and computer modelling of atrial fibrillation.

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

The successful candidate will develop an adaptive multi-scale 3D computer model of atrial fibrillation. The model will be built starting from an already existing 3D computer model developed in collaboration with other academic partners. This patient-specific model will allow to simulate individual pathophysiological mechanisms and to predict antiarrhythmic treatment outcome, thereby improving personalized non-invasive diagnosis of atrial fibrillation. The project is part of the European Innovative Training Network ‘Personalize AF’ in which top scientists from 6 European countries will collaborate.

Requirements:

We are seeking a highly motivated PhD-student to perform a multidisciplinary research programme. The PhD-student will use a combined electrophysiological and signal processing/modelling/data analysis approach and will be trained in both research areas jointly by the Depts. of Physiology and Data Science & Knowledge Engineering, with planned secondments to Personalize AF network partners.
The candidate holds a master in one of the following disciplines (or comparable): biomedical engineering, technical medicine, knowledge engineering, applied mathematics, physics (with interest in biomedical sciences). Solid knowledge of signal processing and programming experience in MATLAB or Python are also expected. Excellent English skills are a prerequisite for this position. At the time of recruitment, researchers must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the reference date.

Contract type:

Temporarily: 36 months.

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website https://www.maastrichtuniversity.nl/support/um-employees

Additional information:

Prof. U Schotten
Dept. of Physiology
Tel 0031 43 3881077
Email:

Application:
Please send your application to the following email address:

Please mention the vacancy number AT2020.26

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