The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to work on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, and integrating diverse data sources to inform decision-making.

PREFERRED QUALIFICATIONS:
PhD in statistics, computer science, artificial intelligence, or a related quantitative field
Experience with mathematical/statistical modeling and/or machine learning/Al methods
Strong interest in infectious disease epidemiology
Proficiency in R and Python is required; experience with C/C++, or Java is desirable

Other Position Details:
Start date: As early as March 1, 2026
Initial term: 1 year, with the possibility of extension based on performance and funding
Location: Emory University, Atlanta, GA

Research Environment.
This position offers a highly collaborative and interdisciplinary environment, with close mentorship from Dr. Max Lau, and opportunities to work with leading experts, including:
Wei Jin (Computer Science)
Ben Lopman (Epidemiology)
Katia Koelle (Biology/Virology)
Postdocs will be supported in professional development, including conference travel, cross-disciplinary collaboration, and publishing in high-impact journals.

Application Instructions:
Interested applicants should include the following:
Curriculum vitae (CV)
Statement of interest
Contact information for two references (they will be contacted following interviews)