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Marc Lipsitch

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1 month ago

Postdoctoral Fellowship in Infectious Disease Modeling, Causal Inference, and COVID-19 Nonpharmaceutical Interventions at Stanford University Stanford University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Stanford University

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Keywords

Computer Science
Epidemiology
Biostatistics
Biology
Covid-19
Medical Science
Causal Inference
Salud Pública
Computational Modelling
Non-pharmacological Interventions
Statistics
Policy Analysi

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About this position

Stanford University is recruiting one or two postdoctoral scholars for a project on the impact of nonpharmaceutical interventions on COVID-19 outcomes. The work sits at the intersection of causal inference, infectious disease modeling, behavior change, and policy analysis.

The primary mentor is Prof. Marc Lipsitch in the Division of Infectious Diseases and Geographic Medicine, Stanford School of Medicine, with co-advising by Dr. Mathew Kiang, Assistant Professor of Epidemiology. The project includes developing a rigorous causal framework for population-level interventions, analyzing state- and county-level U.S. data, and building computational models to simulate COVID-19 transmission under different interventions.

The team is especially interested in candidates with experience in causal inference and/or modeling behavior change as a function of policy and external events. Fellows will work closely with experienced infectious disease modelers and cross-train across complementary fields.

Eligibility: a PhD in a relevant field is required, including epidemiology, statistics, biostatistics, machine learning, data science, or other quantitative disciplines.

Funding: the appointment is for 2 years and pays the Stanford University required minimum for postdoctoral scholars; the FY27 minimum base pay is $79,056.

How to apply: email Marc Lipsitch with a statement of research interests, CV, and contact information for three referees. The postdoctoral office listing provides the official opportunity page and application instructions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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