Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows

Indiana University Bloomington invites applications for a postdoctoral position in intelligent systems engineering under the direction of Dr. James A. Glazier. The successful candidate will construct reproducible and testable sequential data-assimilating digital twin workflows for short-horizon forecasting and patient-specific rebasing. Responsibilities include designing anomaly-detection logic, managing complex model ensemble interfaces, and coordinating computational infrastructure with national consortium partners. The appointee will also engage in software engineering best practices, such as CI/CD and containerization, and contribute to technical publications.

• Develop Python workflows for short-horizon forecasting and patient-specific rebasing.
• Implement data-assimilation methods including Kalman and Bayesian updating.
• Design anomaly detection and missing-information inference logic.
• Build reproducible computational packages utilizing CI/CD, containers, and automated testing.
• Manage complex model ensemble interfaces and integrate workflows with external consortium platforms such as Vivarium and QSP.
• Coordinate computational infrastructure with national consortium collaborators and write technical publications.