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Colin J. Carlson

3 weeks ago

Postdoctoral Associate in Climate Change, Disease Ecology, and Epidemiological 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
Medical Science
Salud Pública
Disease Ecology
Statistics
Statistical Modelling
Cambio Climático
Geospatial Information
Vector-borne Disease
Zoonotic Disease

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About this position

The Carlson Lab at Yale School of Public Health is advertising a two-year postdoctoral associate position in climate change, disease ecology, infectious disease epidemiology, and epidemiological modeling. The role is based in person at Yale and is aimed at a researcher who can make focused contributions to the lab’s work on spillover risk, climate-driven disease burdens, and end-to-end attribution of extreme epidemics to climate change.

Preferred background includes a PhD in disease ecology or infectious disease epidemiology, with strong skills in statistics, quantitative modeling, and geospatial data. Experience with epidemic modeling is optional, and experience working with global climate data is also relevant. The lab highlights three main research directions: statistical models linking ecological drivers to spillover risk; statistical models linking climate drivers to understudied zoonotic and vector-borne disease burdens, especially parasitic diseases; and epidemiological models for attributing specific epidemics to climate change.

Funding is described as a mix of federal and philanthropy sources. The lab notes that the project may include specific deliverables tied to philanthropic support, but also emphasizes substantial support for the postdoc’s own independent research program. The lab is highly collaborative and interdisciplinary, with connections to the Public Health Modeling Unit and broader Yale community.

Applicants should contact the lab by email with a brief fit statement, a short summary of research interests, and 1–2 favorite papers they have written, including why those papers matter to them. The post also notes that the lab is open to candidates with independent funding and may support fellowship applications. For PhD students, the lab is not likely taking new students for the 2026–27 cycle unless they have independent funding.

Relevant study areas include public health, biology, medical science, environmental science, statistics, and computer science, especially where they intersect with climate-sensitive infectious disease research, modeling, and data science.

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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