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
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.
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
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.
Several years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with communities and public health professionals.
$70,000 + depending on qualifications
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