University Institute of Diagnostic and Interventional Neuroradiology
Start: entry immediately or upon agreement, limited for one year
The Quantitative MR Imaging Science (QIS) lab is an interdisciplinary team of experts in physics, medical engineering, mathematics and optimization theory. We specialize in MR image acquisition, including programming of MRI scanner software, and image reconstruction, using in-house developed software to process MRI raw data. This project focusses on deep learning image reconstruction and is part of the Center for Artificial Intelligence in Medicine (CAIM) institute. It is led by Dr. Eva Peper in collaboration with Prof. Dr. Christoph Gräni.

• Development of a neural network for cardiac image reconstruction
• Implementation and testing in an experimental setting and on a clinical MRI scanner in collaboration with our team
• Learn about MRI image reconstruction and data analysis
• Work on experimental designs, research protocols and preparation of reports, presentations and other deliverables

• M.Sc. or B.Sc. with a background in engineering, physics, mathematics or similar
• Experience in data analysis with MATLAB and/or Python is required
• Knowledge of deep learning and optimization theory is a plus
• Excellent analytical and problem-solving skills, effective communication skills, and the ability to work both independently and in a team

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