If you are interested in working with us, please contact rosa.yesil@meduniwien.ac.at.
Post Doc Position: Machine Learning
Please apply via the MedUni Wien website here: Post Doc Position 8406/23 until September 27th 2023
We are looking for a post doc in the area of machine learning and medical imaging. The position will be part of the CIR team in the EU funded AI-POD project, where we are leading the workpackage to develop an AI based risk score that will use cutting edge imaging data (photon counting CT) together with laboratory data, and continually acquired life style / activity data to provide a dynamic risk score for individuals. We are developing machine learning methods to quantify aspects of heart health and tissue composition, myocardial mapping, laboratory results and lifestyle parameters.
Methodological work includes domain transfer, coping with real world heterogeneity and biases, fairness, and continual machine learning. Ultimately, the risk scoring engine produced by WP3 will serve as a cornerstone for the development of the CDSS and the Citizen App.
As a post doc you will be part of an interdisciplinary team in the AI-POD project and within CIR, hosting PhD- and Master-Students, together with PostDocs in the areas of machine learning, medical imaging, linking of imaging data and other modalities such as genomics, laboratory, or clinical data.