CFA Postdoctoral Fellow - Center for Pandemic Decision Science

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

Requirements

• Several years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with communities and public health professionals.
• Salary Range
• $70,000 + depending on qualifications
• Working Conditions
• Flexible work arrangement possible
• Occasional evenings and weekends required
• May work around standard office conditions
• Repetitive use of a keyboard at a workstation
• Work Shift
• Flexible: 40 hours/week is required, and most of this time should be during normal business hours (e.g., 9:00am-5:00pm), although numbers of hours/day and days/week can be negotiated and may change depending on what projects are being pursued.
• Required Materials
• Resume/CV
• Cover Letter
• Three (3) letters of reference
• ----
• Employment Eligibility:
• Please make sure

Benefits

Additional Information

Job Posting Title: CFA Postdoctoral Fellow - Center for Pandemic Decision Science ---- Hiring Department: Department of Integrative Biology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Oct 02, 2026 ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes This is a one-year position with opportunity for renewal based on funding and performance. The position will include a full-time benefits package. Security sensitive; criminal background check conducted on selected candidates. Hiring decision is contingent upon applicant clearing background requirement. Applicants will be accepted on a rolling basis and evaluated via an accelerated video interview and decision process. 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

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