Purpose
The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting, and control of influenza and other infectious diseases. The research aims to elucidate epidemiological dynamics and provide robust insights and tools to support outbreak preparedness and response efforts across the United States.

The postdoctoral scholars will work under the primary supervision and mentorship of Professor Lauren Ancel Meyers.

We seek candidates with strong quantitative training in one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology

Responsibilities
-Lead the development and analysis of mathematical models to support the early detection, forecasting, and mitigation of emerging infectious disease outbreaks, including seasonal and pandemic influenza

• Contribute to the development of outbreak modeling tools and training resources for public health professionals
• Disseminate this work through direct engagement with scientists and public health professionals, as well as peer-reviewed publications

Required Qualifications
Candidates must have completed a PhD within the last 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team.

Preferred Qualifications
Several years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with communities and public health professionals.