The Shakeri Lab at the University of Virginia is recruiting PhD students to join a dynamic research group focused on building mathematically principled AI for diabetes technology. The lab operates at the intersection of the UVA School of Data Science and the Center for Diabetes Technology, offering a unique environment that bridges rigorous mathematical theory, machine learning, and real-world clinical applications.

Research areas include adapting foundation models and large language models (LLMs) for time-series forecasting, developing safety-critical learning-based control systems for artificial pancreas technology, and leveraging generative AI to model complex biological and epidemiological processes. The lab emphasizes operator-theoretic machine learning, dynamical systems, and control theory, with a strong focus on clinical translation and impact in diabetes care.

Applicants should have a strong quantitative background, with required coursework in multivariable calculus, linear or matrix algebra, and statistics. Programming experience in languages such as Python, R, Matlab, C++, or Java is essential. The program welcomes candidates from diverse academic backgrounds who are passionate about data science, AI, and biomedical applications. English proficiency is required for non-native speakers.

PhD students receive comprehensive financial support, including full tuition and fee remission, health insurance, and an annual stipend of approximately $40,000 through research or teaching assistantships. The lab is well-funded, with recent grants and fellowships supporting innovative research in AI-driven diabetes management and related fields.

To apply, prospective students should submit their application through the UVA School of Data Science PhD admissions portal, ensuring all prerequisite coursework is completed by matriculation. The application requires a CV, three letters of recommendation, responses to research interest questions, and proof of English proficiency if applicable. Applicants are encouraged to review faculty profiles and research labs to align their interests with ongoing projects in the lab.

This opportunity is ideal for students eager to pair rigorous mathematical theory with impactful clinical research, particularly in the areas of artificial intelligence, machine learning, control systems, and biomedical engineering. The Shakeri Lab offers a collaborative and intellectually stimulating environment for the next generation of data science researchers.