Postdoc in Climate Extremes & Population Health

Climate AI Nordics

Uppsala kommun

On-site

SEK 491,427 - 600,633

Full time

14 days+
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Job summary

Climate AI Nordics is seeking a postdoctoral researcher in climate extremes and population health to join Uppsala University’s Centre for Impacts of Climate Extremes (CLIMES). The successful candidate will focus on how extreme weather events affect human health, especially among vulnerable groups like pregnant women.

Key responsibilities include integrating extensive climate and health datasets, applying advanced statistics and machine learning, and collaborating internationally on projects aimed at enhancing climate resilience. A PhD in a related field is required.

Qualifications

  • Strong quantitative skills for data analysis and modeling.
  • Experience in working with large datasets and high-performance computing.
  • A solid publication record in relevant fields.

Responsibilities

  • Integrate large-scale climate and health datasets.
  • Apply advanced statistics and machine learning techniques.
  • Collaborate with international teams on health and climate resilience.

Skills

Strong quantitative skills
Experience with large datasets
Machine learning

Education

PhD in epidemiology, climate science, data science, or related field

Job description

Uppsala University’s Centre for Impacts of Climate Extremes (CLIMES) is hiring a postdoctoral researcher in climate extremes & population health. The position focuses on understanding how extreme weather events (heatwaves, floods, droughts) impact human health, particularly in vulnerable groups such as pregnant women.

Key tasks include:

  • Integrating large‑scale climate and health datasets
  • Applying advanced statistics and machine learning (including non‑linear and spatial models)
  • Working with international collaborators on global health and climate resilience

Applicants should hold a PhD in epidemiology, climate science, data science, or a related field, with strong quantitative skills, experience with large datasets/HPC, and a strong publication record.

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