Research Associate - Department of Computer Science and Electrical Engineering
Listed on 2026-05-23
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Research/Development
Data Scientist, Artificial Intelligence
Description
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 (Use the "Apply for this Job" box below)./~daadjeroh/projects/aihec/ .
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.
QualificationsThe successful candidate must have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, applied mathematics, physics or a related field. Familiarity with machine learning, deep learning and large language models is required and proficiency in scientific computing using one or more of the major programming languages or environments (python, PyTorch, Matlab, C/C++ or R) is essential.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.
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