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Postdoc position -- Computer Vision in Digital Health



The West Virginia-Arkansas Center for Research and Education in Smart Health (WVAR-CRESH) is a key part of a recent large NSF funding to enhance collaboration between researchers in West Virginia and Arkansas on problems in healthcare in the two states. The long term goal of the collaboration is to improve health and well-being by accelerating decision making for smart health applications, through the development and application of advanced artificial intelligence (AI) techniques, exploiting the available massive heterogeneous biomedical datasets. Activities under this collaboration will lead to improved workforce development in leading-edge technology areas of data science, AI, and smart health. (See the website: https://urldefense.proofpoint.com/v2/url?u=http-3A__community.wvu.edu_-7Edaadjeroh_projects_cresh_&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=5lUcpcKAPNQ266toR61ZDdpa62-6H2FRvipdGfh7YiM&s=U13rNpuwz4nlMbBVrg92uzxUAG9nmNsD6BrXXRrhL1U&e= )



Applicants are invited for a postdoc position to work with researchers at the center. We are looking for a postdoc with a strong background in computer vision, deep learning, and biomedical image analysis, especially ultrasound images. The center is focused on developing new algorithms and techniques that use advances in AI and machine learning to analyze different types of biomedical data. Emphasis is on cardiovascular health (especially on the analysis of cardiac images, such as echocardiographs, MRI, CT images, etc), health disinformation, and privacy preserving health data analytics.



The postdoc will conduct research on one or more of the topics above. Together with the project team members, the postdoc will have the opportunity to determine the specific direction of their research project, depending on their interests.

The successful candidate should have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, physics or other related fields. Expertise in machine learning/deep learning is a requirement, and proficiency in scientific computing using one or more of the major programming languages/environments (python, PyTorch, Matlab, C/C++, or R) is essential.





For further information, please contact any of the following:

Don  Adjeroh, PhD

Lane Dept. Computer Science & Electrical Engineering,

West Virginia University,

Morgantown, WV 26506



Email: [log in to unmask]

https://urldefense.proofpoint.com/v2/url?u=http-3A__community.wvu.edu_-7Edaadjeroh_&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=5lUcpcKAPNQ266toR61ZDdpa62-6H2FRvipdGfh7YiM&s=9YwD2ngDotbvXycqmOMCZd0A_VX2JG8IVOmLXvgSJ_4&e= 

Gianfranco Doretto, PhD

Lane Dept. Computer Science & Electrical Engineering,

West Virginia University,

Morgantown, WV 26506



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Partho P Sengupta, MD, DM, FACC

Abnash C Jain Chair & Professor of Cardiology, Director of Cardiac Imaging, WVU Heart & Vascular Institute, West Virginia University School of Medicine



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