Tenured​/Tenure-Track Faculty Position in AI-Enabled Experiments Scientific Discovery in Health

Open Rank, Tenured/Tenure-Track Faculty Position in AI-Enabled Experiments for Scientific Discovery in Health

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Title Open Rank, Tenured/Tenure-Track Faculty Position in AI-Enabled Experiments for Scientific Discovery in Health

Department IU Bloomington Vice Provost For Faculty Affairs

Location Bloomington

Position Summary

Indiana University Bloomington invites applications for a tenure-track assistant professor or tenured associate or full professor in the Department of Statistics, College of Arts and Sciences. We seek an outstanding researcher to develop a research program at the forefront of statistics, artificial intelligence, experimentation, and health.

AI systems now participate not only in analyzing data but in designing experiments, selecting interventions, and guiding scientific discovery. This shift calls for new statistical foundations, and this opening offers a well-resourced professorship to build a research program that develops these foundations.

We are especially interested in candidates developing statistical methodology for AI-enabled experimentation in health, aging, and related areas. Relevant settings include:

• autonomous and AI-guided experimentation
• adaptive and innovative clinical trials
• self-driving laboratories
• digital twins and in-silico experimentation
• AI-enabled drug discovery.

Regulatory frameworks are evolving alongside these developments, including recent FDA guidance on credible, validated applications of AI, model-informed approaches and new experimental methodologies in drug development. Exceptional candidates in other application areas will also be considered.

We welcome candidates whose research develops methodology and theory in a variety of subfields of statistics relevant to AI-enabled experimentation, including:

• experimental design, clinical trial design, and sequential experimentation
• Bayesian optimization and active learning
• contextual bandits, reinforcement learning and online experimentation
• causal inference and treatment-effect heterogeneity
• statistical learning and machine learning
• evaluation and monitoring of AI systems
• micro-randomized trials
• uncertainty quantification
• prediction-powered inference.

Indiana University Bloomington offers an unusually rich environment for this research. IU has established major academic-industry partnerships in health and biotechnology, including a five-year $40M partnership with Eli Lilly on AI-enabled clinical trials research, and a five-year master collaboration agreement with Cook Medical. These partnerships are coordinated through the IU Launch Accelerator for Biosciences and complement IU’s clinical and health-science ecosystem, including the IU Medical Center and IU School of Medicine, giving faculty the opportunity to work across the full span from statistical theory and methodology to applied industry collaborations and translation into practice.

Located approximately one hour from Indianapolis, Bloomington provides access to one of the nation’s major health and life-sciences hubs.

The successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and biostatistics, and will help shape its direction in AI-enabled and health-oriented statistics. The department is closely tied to the Indiana Statistical Consulting Center, which serves researchers across the university, and has natural collaborators in the Luddy School of Informatics, Computing, and Engineering, home to…