The Meyers Lab and UT COVID-19 Consortium at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance and control of COVID-19, influenza, and other respiratory viruses, aimed at elucidating epidemiological characteristics and providing quantitative decision-support for public health control efforts at the local, state and national levels.

The researchers will work under the primary supervision and mentorship of Prof. 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, (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology, strong coding skills, and interdisciplinary research experience.

This is a two-year position with opportunity for renewal based on funding. The position will include a full-time benefits package.

Applications will be accepted on a rolling basis and evaluated via an accelerated video interview and decision process.

Responsibilities
Building mathematical models of influenza and COVID19 transmission
Analyzing mathematical models to support epidemic response efforts
Disseminating research findings to scientific and public health communities

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

Salary Range
$70,000

Required Materials
Resume/ CV
Cover Letter
PhD Verification
2 work references with contact information; at least one should be from a supervisor.