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Colin J. Carlson

1 month ago

Postdoctoral Associate in Climate Change, Pandemic Risk, and Policy Modeling Yale School of Public Health in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Yale School of Public Health

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Keywords

Computer Science
Epidemiology
Environmental Science
Biology
Health Policy
Medical Science
Salud Pública
Disease Ecology
Statistics
Statistical Modelling
Geospatial Information
Vector-borne Disease
Zoonotic Disease

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About this position

The Carlson Lab at Yale School of Public Health has an open 2-year postdoctoral associate position based in person in the United States. The project sits at the intersection of climate change, pandemic risk, policy choices, disease ecology, and infectious disease epidemiology, with a strong emphasis on statistical modeling, quantitative modeling, and geospatial data.

The lab is looking for a candidate with a PhD in disease ecology or infectious disease epidemiology. Strong skills in statistics and modeling are strongly preferred, and experience with epidemic modeling and global climate data would be valuable. The work includes developing statistical models linking ecological drivers to spillover risk, building end-to-end pandemic risk models over the 21st century, modeling climate drivers of zoonotic and vector-borne disease burdens, and creating epidemiological models for attribution of extreme epidemics to climate change.

Funding comes from a mix of federal and philanthropy sources. The lab notes that philanthropic support may come with specific deliverables, but the position also offers substantial collaboration, professional development, and support for an independent research program within the Public Health Modeling Unit and broader Yale community.

Applicants should contact the lab directly by email with a brief fit statement, a summary of research interests, and 1-2 favorite papers they have written. The lab also welcomes candidates with independent funding and may support fellowship applications. The post additionally mentions possible fit areas such as advanced species distribution modeling, genomics-based prediction of viral reservoirs and vectors, protein language models for microbial pathogenesis, and natural language processing for literature synthesis and data extraction.

This is a strong opportunity for researchers in public health, biology, statistics, environmental science, and related computational fields who want to work on climate-sensitive infectious disease research at Yale.

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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