Work alongside leading experts at the Computational Imaging Research Lab (CIR) and the Department of Cardiology at the Medical University of Vienna and Visualization and Data Analysis Research Group (VDA) at University of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and visualization techniques. As part of our vibrant and interdisciplinary team, together with the also newly created positions of Ph.D. Machine Learning and Data Manager you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment response.
The duration for this prae doc position is 3 years starting in the beginning of July.
Applications including your scientific curriculum vitae, letter of motivation, including ideas for a prospective doctoral project proposal, abstract of master thesis, you Master Degree / Diploma, list of publications and evidence of teaching experience (if available) should be submitted no later than April 20th, 2025.
The detailed job call and application procedure can be found at: https://jobs.univie.ac.at/job/University-assistant-predoctoral-Visual-Data-Analysis/1191108101/
