Karolinska Institutet invites applications for a postdoctoral position in machine learning for cardiovascular imaging, based in the Department of Molecular Medicine and Surgery (MMK) and led by Assistant Professor David Marlevi. This opportunity is part of a clinically integrated, well-established network in cardiovascular imaging and a broad-reaching European research initiative (MultiPRESS project), offering a unique translational research environment with expertise spanning clinical science, biomedical engineering, and medical physics.

The research focuses on leveraging machine learning to improve hemodynamic risk prediction using advanced cardiovascular imaging modalities, particularly four-dimensional flow magnetic resonance imaging (4D Flow MRI). The team is pioneering the use of super-resolution networks and physics-informed image processing to expand the diagnostic capabilities of 4D Flow MRI, enabling novel quantitative imaging paradigms. The postdoctoral researcher will contribute to these efforts by developing and enhancing data-driven imaging networks and mathematical algorithms, streamlining analysis, and improving physiological insight. Work may involve expanding current approaches into advanced setups such as Diffusion, Transformer, or Foundation Model networks, and proposing new utilities for higher-dimensional data analysis. Evaluation will be conducted in patient-specific models, benchtop validation setups, MR-systems, and clinical patient cohorts.

Applicants should have a PhD or equivalent, ideally completed within the last three years, and a strong research background in scientific machine learning. Experience in medical applications, medical imaging, or phase-contrast imaging is preferred but not required. Essential skills include documented experience with neural network implementations (TensorFlow or PyTorch), terminal scripting, and high-performance computing for network training and testing. Experience translating neural networks into clinical studies and using machine learning for clinical predictions is advantageous. Excellent communication skills in English and the ability to work in an international, translational team are required. The position offers opportunities for grant writing, article co-authorship, student supervision, and career mentorship.

Karolinska Institutet is one of the world's leading medical universities, offering a creative and inspiring environment with access to state-of-the-art imaging equipment, diverse patient cohorts, and computational resources. The university provides benefits through its collective agreement and fosters collaborations across medicine and health sciences. The position is full-time, temporary, and located in Solna, Stockholm County, Sweden.

To apply, submit your application via the Varbi recruitment system, including a PhD certificate, complete resumé, list of publications, and a summary of current work (maximum one page) in English or Swedish. The application deadline is March 16, 2026. For further information, contact Assistant Professor David Marlevi at [email protected].