CFA Postdoctoral Fellow - Center Pandemic Decision Science

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

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

• 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

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

• Flexible work arrangement possible
• Occasional evenings and weekends required
• May work around standard office conditions
• Repetitive use of a keyboard at a workstation

• 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.

• Resume/CV
• Cover Letter
• Three (3) letters of reference
• PhD Verification (Examples of official documentation of the degree include:
  Copy of diploma (preferred) or official English translation of diploma, Copy of a letter of completion on letterhead from the office of the registrar or graduate office confirming completion of degree requirements, Copy of official transcript in English with "degree awarded" information.)