Research Associate - Department of Computer Science and Electrical Engineering

West Virginia University Research Corporation Human Resources • Morgantown, WV

325d

About The Position

The Lane Department of Computer Science and Electrical Engineering of the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for a Research Associate to work with researchers at the AI Health Engineering Center (AI HEC). AI HEC is a cross-cutting collaborative research center involving researchers from different colleges and departments at West Virginia University. The long-term goal of the collaboration is to improve health and well-being by accelerating decision making for intelligent 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 digital health. For more information about AI HEC, please visit https://community.wvu.edu/~daadjeroh/projects/aihec/. We are searching for candidates with a strong background in computer vision, deep learning, large language models, generative AI, applied mathematics, bioinformatics, and biomedical image analysis, especially high-resolution histopathology images and cardiac images. The center is focused on developing new algorithms and techniques that use advances in AI, machine learning and large language models to analyze different types of biomedical data. Emphasis is on biomedical images (especially on the analysis of high-resolution pathology images and cardiac images, such as echocardiographs, MRI, CT images, etc.), and on secured and privacy preserving health data analytics. The Research Associate will conduct research on one or more of the topics above. Together with other researchers at the center, the Research Associate will have the opportunity to determine the specific direction of their research project, depending on their interests, and within the scope of the collaborative projects at the center.

Requirements

• PhD in computer science, electrical engineering, computer engineering, biomedical engineering, applied mathematics, physics or a related field.
• Familiarity with machine learning, deep learning, data analytics, and large language models.
• Proficiency in scientific computing using programming languages/environments such as Python, PyTorch, Matlab, C/C++, or R.

Responsibilities

• Conduct research on computer vision, deep learning, large language models, generative AI, applied mathematics, bioinformatics, and biomedical image analysis.
• Develop new algorithms and techniques for analyzing biomedical data.
• Focus on the analysis of high-resolution pathology images and cardiac images.
• Collaborate with other researchers to determine the direction of research projects.

Benefits

• Opportunity to work in a collaborative research environment.
• Access to advanced technology areas of data science, AI, and digital health.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree