The Cardiac Vision Laboratory at the University of California San Francisco (UCSF) is offering multiple postdoctoral research positions. We seek researchers with a background in either computational modelling, medical physics, imaging, (biomedical) engineering, deep learning and/or mathematical biology, who have a strong interest in conducting research in the life-sciences and in developing diagnostic imaging technology.
The Cardiac Vision Laboratory performs cross-disciplinary research at the interface between cardiology, bioengineering, the physics of complex biological systems, computer vision and artificial intelligence. We study heart rhythm disorders, the interactions between cardiac electrophysiology and soft-tissue mechanics, and develop novel diagnostic imaging for a better, more effective diagnosis of heart rhythm disorders. Our focus is to generate and use measurement data to reconstruct and predict the heart’s dynamics. We analyze data generated in computer simulations as well as with imaging modalities such as ultrasound, fluorescence imaging, magnetic resonance imaging and electrical imaging. While the research is largely computational, it also involves the generation of experimental data in our laboratory and in collaboration with clinicians at UCSF. Our laboratory is part of the Cardiovascular Research Institute on UCSF’s Mission Bay campus, which hosts various basic science institutes, including those conducting computational research (e.g. Center for Intelligent Imaging, Bakar Computational Health Sciences Institute). We closely collaborate with cardiologists and radiologists, as well as with cardiac biomechanics modeling and computer vision experts at UCSF. Overall, the research includes aspects from fields such as mathematical biology, mechano-biology, physiology, biophysics, nonlinear physics, bioengineering, machine learning, and computer vision, and spans from basic to applied research. Depending on the qualifications and interests of the applicant, the work may focus on the development of deep learning models, computer simulations and/or numerical techniques for data processing, the development of imaging techniques in the wetlab, or the study of arrhythmia mechanisms.
Applicants must have a PhD in either physics, applied mathematics, engineering, quantitative biology, computer science, or a related field, have first-author publications in peer-reviewed journals, be passionate about research and about developing and applying quantitative methods such as computational modelling, image processing or deep learning to problems in biology and physiology. Applicants should be highly motivated, reliable, curiosity-driven, goal-oriented and driven to publish, be able to work with and supervise undergraduate students, and be able to identify and take initiative to investigate and solve scientific problems. Ideal candidates have previous experience with machine learning and/or computer vision. Fluency in several programming languages (e.g. Python / C++) is a must. A background in computational cardiology and/or computer modelling of the heart is beneficial but not strictly necessary.
The research positions will be well suited to prepare for either a career in academia or in the medical device industry. The positions will be available from September 2022 (earlier start date possible) and applications will be reviewed until filled. Remote work (full or part-time) is negotiable.
Please reach out to Dr. Jan Christoph (email@example.com) and include a CV with a list of publications.
Related website: http://cardiacvision.ucsf.edu
Tagged as: Computer Science, Engineering, Life Sciences, Physics
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