Faculty in Statistics and Data Science- Open Rank

We invite applications from candidates with expertise and interest in statistics and data science broadly defined. We are especially interested in candidates whose research advances one or more of the four thematic areas of WashUs AI initiative:

• AI for Science and Engineering: Modeling the Physical World. Fundamental AI and computational methodology that advances modeling simulating and reasoning about physical systems. This includes physical AI coupled with domain knowledge (climate materials digital twins) and AI-accelerated scientific discovery (structural biology astrophysics quantum systems). We particularly welcome scholars who can leverage AI to bridge information across temporal and spatial scales.

• AI-Driven Imaging Science: Imaging from Molecules to the Universe. Advancement of foundation models generative modeling and inverse problem methods across scales from the biomedical to the geophysical with applications spanning biomedical sensing biodiversity and environmental monitoring the built environment and population health and food security.

• Agentic AI: Governance Society and Institutions. Modeling how AI agents behave at scale in complex social and economic systems including multi-agent dynamics organizational adaptation to agentic systems and the reshaping of labor decision-making and accountability in complex institutions. We welcome applications that engage high-stakes contexts leveraging existing WashU strengths such as population health democracy or biotechnology.

• Human Values Creative Practice and AI. Statistical and computational foundations of generative AI systems and quantitative approaches to studying human interaction with AI including questions of authorship creativity and the human implications of generative systems.

Candidates selected under the AI initiative will be invited to participate in a university-wide workshop in one of these four identified areas and to be an active member of the intellectual community forming around that topic.

Duties will include teaching and student mentoring at the undergraduate and the graduate levels conducting and maintaining a strong research program and participating in department and university service.