PhD Positions in Data-Efficient Predictive Modeling, Generative Models, and Multimodal AI at University of Miami University of Miami in United States

ASTRO Lab at Virginia Tech is recruiting a PhD student for Spring 2027 in uncertainty quantification (UQ) and Bayesian inference for computational modeling . The opening is posted by Pınar Acar , Associate Professor at Virginia Tech, who is seeking a student for her group. The research focus is highly quantitative and computational, with emphasis on UQ, Bayesian methods, and scientific programming. Eligibility highlights: an MSc degree is strongly preferred; prior research experience in UQ and B...

The University of Michigan Department of Epidemiology is recruiting a postdoctoral research fellow for work on infectious disease transmission modeling , with a focus on influenza transmission in households. The project uses combined data from multiple prospective household cohort studies to examine demographic, behavioral, and environmental factors that facilitate or prevent transmission. The fellow will design and conduct household simulation models, analyze longitudinal cohort data, and contr...

Yale University’s Institute for Foundations of Data Science (FDS) is inviting applications for postdoctoral positions in Data Science , with a strong emphasis on the mathematical, algorithmic, and statistical foundations of data science and applications across disciplines. These are generously supported postdoctoral fellowships expected to last 2–3 years . FDS postdocs can work with multiple mentors from among institute members and may change mentors during the fellowship, making this a flexible...

Rice University’s Department of Statistics is hiring a Postdoctoral Associate in statistics for research in statistical learning , with emphasis on uncertainty quantification , conformal prediction , and reliable machine learning under distribution shift . The postdoctoral researcher will work with Dr. Judy Wang and contribute to independent and collaborative projects in statistical methodology, theory, computation, and related areas of machine learning and artificial intelligence. The role is d...

PhD position available at Princeton University in causality-aware path learning , with a strong emphasis on network science and machine learning . The position is within Prof. Dr. Jürgen Hackl’s Complex Infrastructure Systems Group in the Civil and Environmental Engineering environment. This is a research-oriented doctoral opening for candidates interested in computational methods, graph/network analysis, and data-driven learning approaches for infrastructure systems. Eligibility highlights: a M...