Pre/PostDoc at University Medicine Greifswald

Key points:

Payment: TV-L E13, temporary full-time position
Total project duration: 12 months
Start of work: October 1st, 2021 (planned)
Place of work: Greifswald, Germany
Application deadline: July 18, 2021

As part of a Postdoc Start-up Grant on Advancing Digital Aspects from the German Center for Cardiovascular Research (DZHK), the following position is to be filled at the Institute of Bioinformatics at the University Medicine Greifswald from October 1st, 2021:

Full-time research assistant / doctoral student or postdoctoral fellow (100% TV-L E13)
limited for 1 year with the option for subsequent renewal

In this DZHK-funded project "Standardized ECG processing pipeline for AI/ML-based classification of cardiovascular diseases" you are working on the development of open source methods for the automated processing of ECGs as a necessary and quality-assuring step for future federated learning projects of the DZHK:

Short description: This project provides the basis for the automated and standardized processing and analysis of large quantities of digital ECGs using new and innovative methods from the field of artificial intelligence. This includes recognition of new ECG patterns and new prediction models for cardiovascular diseases including myocardial infarction, atrial fibrillation and heart failure. Standardized and expandable processing steps will be applied to data from large cohort studies such as the “Hamburg City Health Study”, “Gutenberg Health Study”, “Study of Health in Pomerania”, “Cooperative Health Research in the Augsburg Region” and “Translational Registry for Cardiomyopathies”. Our pipeline will assure that ECGs obtained in different studies within and outside the DZHK are comparable and cross-location AI/ML projects utilizing large ECG datasets can be carried out on uniformly processed ECGs.

Our requirements:
• Convincing university degree (diploma/master's) in a STEM program or a methodologically experienced medical professional
• Advanced programming knowledge in at least one programming language (R or Matlab or Python, preferably R)
• Basic knowledge of machine and statistical learning methods
• Experience in processing bio-signals is of advantage
• Creativity in finding new solutions
• You work reliably and proactively and have a high level of commitment
• Good written and spoken English knowledge

If you have any questions, please contact the project manager Dr. Marcus Vollmer (, 0049 3834-86-5444).

The full job announcement and the application procedure can be found at:

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