PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field• Strong interest in applying quantitative and computational methods to infectious disease epidemiology• Strong background in statistical/mathematical modeling, machine learning, or computational methods• Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable• Strong interest in interdisciplinary research• Proficiency in Python and R; experience with additional scientific computing frameworks is desirable• Strong research record and evidence of growing independence.• The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.