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Karolinska Institutet

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PhD in Environmental Epidemiology and Climate-Related Maternal and Child Health Karolinska Institutet in Sweden

Degree Level

PhD

Field of study

Epidemiology

Funding

Doctoral studentship employed for up to 4 years full-time with a contractual salary under Karolinska Institutet's salary scale.

Deadline

Oct 6, 2026

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Country

Sweden

University

Karolinska Institutet

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Keywords

Epidemiology
Environmental Science
Biostatistics
Biology
Medical Science
Salud Pública
Maternal And Child Health
Air Pollution
Environmental Epidemiology
Statistics
Heat Stress
Cambio Climático

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About this position

Karolinska Institutet’s Institute of Environmental Medicine (IMM) is advertising a PhD position in environmental epidemiology focused on climate change, maternal health, child health, air pollution, temperature exposure, and green environments.

The project will investigate the independent and interacting effects of heat, cold, and air pollution during pregnancy on maternal complications and early child development. Outcomes include hypertensive disorders of pregnancy (such as preeclampsia), gestational diabetes, and fetal and infant growth trajectories. The work uses large-scale administrative and clinical register data from Sweden and Belgium together with high-resolution environmental exposure data.

The doctoral student will apply advanced methods in epidemiology and biostatistics, including time-to-event analyses, case-crossover designs, multilevel models for repeated measures, distributed lag non-linear models, and interaction analyses on additive and multiplicative scales. The role includes data management, statistical analysis, interpretation, manuscript writing, and dissemination in scientific journals and conferences.

Eligibility: a master’s degree or equivalent, or at least 240 credits with 60 advanced-level credits; strong English proficiency equivalent to English B/English 6; documented knowledge of epidemiology and biostatistics; experience with epidemiological data. A background in environmental health, public health, medicine, biomedical sciences, statistics, data science, or related quantitative fields is encouraged. Experience with R, large datasets, environmental epidemiology, air pollution, temperature exposure, and advanced statistical methods is a plus.

Funding: the position is a doctoral studentship with a contractual salary for up to 4 years full-time.

How to apply: submit your application via the Varbi recruitment system. Include a personal letter, CV, degree projects and publications if any, proof of general and specific eligibility, and any other documents demonstrating relevant skills. The deadline is 2026-10-06.

Funding details

Doctoral studentship employed for up to 4 years full-time with a contractual salary under Karolinska Institutet's salary scale.

What's required

Applicants must have a second-cycle/master qualification or equivalent, or at least 240 credits with at least 60 advanced-level credits. English proficiency equivalent to English B/English 6 is required. A background in environmental health or related disciplines is preferred, including environmental health, epidemiology, public health, biomedical sciences, medicine, statistics, data science, or related quantitative fields such as computer science. Documented knowledge in epidemiology and biostatistics and experience with epidemiological data are required. Experience in environmental epidemiology, air pollution or temperature exposure data, data management, statistical analyses, large datasets, R, and advanced statistical methods is advantageous. Strong analytical ability, endurance, structured work habits, teamwork, interpersonal skills, and very high proficiency in spoken and written English are important.

How to apply

Submit the application and supporting documents through the Varbi recruitment system using the apply button. Prepare the application in English or Swedish and include a personal letter, CV, degree projects/publications if any, proof of eligibility, and other documents showing relevant skills. Apply by 2026-10-06.

More information can be found here

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