University of Texas at Austin
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Postdoctoral Fellow in Pandemic Decision Science, Infectious Disease Modeling and Forecasting The University of Texas at Austin in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
One-year postdoctoral position with opportunity for renewal based on funding and performance. Full-time benefits package included. Salary starts at $70,000+ depending on qualifications.
Country
United States
University
University of Texas at Austin
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About this position
CFA Postdoctoral Fellow – Center for Pandemic Decision Science at The University of Texas at Austin is an immediate postdoctoral opening in the Department of Integrative Biology and the Meyers Lab / epiENGAGE.
The project focuses on infectious disease modeling, especially the spread, surveillance, forecasting, and control of influenza and other infectious diseases. The work aims to improve outbreak preparedness and response across the United States by developing mathematical and computational tools for epidemiological decision science.
The fellow will work under the primary supervision of Professor Lauren Ancel Meyers. The post is suited to candidates with strong quantitative training in statistics, machine learning, AI, operations research, optimization, mathematical modeling, and/or infectious disease epidemiology.
Required qualifications include a completed PhD within the last 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related field. The role also requires the ability to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team. Preferred experience includes designing, validating, and applying outbreak dynamics and control models, plus collaboration with communities and public health professionals.
Funding details: this is a one-year position with possible renewal based on funding and performance, includes a full-time benefits package, and offers a salary of $70,000+ depending on qualifications.
Applications are accepted on a rolling basis and reviewed through an accelerated video interview and decision process. To apply, submit the required materials in Workday: CV, cover letter, three letters of reference, and PhD verification.
Funding details
One-year postdoctoral position with opportunity for renewal based on funding and performance. Full-time benefits package included. Salary starts at $70,000+ depending on qualifications.
What's required
Applicants must have completed a PhD within the last 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. Strong quantitative training in infectious disease dynamics, statistics, machine learning, AI, operations research, or optimization is required, with preference for knowledge of infectious disease epidemiology. Candidates should be able to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team. Preferred experience includes designing, validating, and applying mathematical models of outbreak dynamics and control, and collaborating with communities and public health professionals.
How to apply
Apply through the UT Austin Workday job posting. Submit a CV, cover letter, three letters of reference, and PhD verification. Current UT employees must apply through Workday and upload required materials in the application questions section.
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