PhD in Medical Image Analysis

Position as PhD Research Fellow in Deep learning for medical image analysis available at Department of Informatics./nStarting date as soon as possible. The fellowship period is three years./nPlace of work is Department of informatics at Blindern, Oslo./nYou are keen on contributing to new advances in deep learning methodology for cardiac ultrasound imaging. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in collaboration with GE Healthcare and their re-search center in Oslo./nYour interests are in neural networks research. You have a big motivation to both contribute to new methods in neural networks, and develop models suited to the particular application in ultrasound imaging./nYou will focus on challenges related to self-supervised learning, foundation models, multimodal data, and combine this with either modelling knowledge, incorporate reliability/uncertainty, and/or explainable models./nThe position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group.