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Uppsala University
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3 days ago
Fully Funded PhD in Meteorology, Statistics and Dynamics of Compound Climate Extremes Uppsala University in Sweden
Degree Level
PhD
Field of study
Environmental Science
Funding
Fully funded 48-month PhD position. No specific stipend or additional benefit details are provided.
Deadline
Nov 16, 2026
Country
Sweden
University
Uppsala University
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About this position
Uppsala University is offering a fully funded PhD project in meteorology, climate statistics, and the dynamics of compound climate extremes.
The research will quantitatively analyse mid-latitude compound climate extremes in recent and future climates. The doctoral researcher will investigate how atmospheric dynamics and circulation features contribute to the occurrence of different surface compound extremes, including the physical drivers that link large-scale atmospheric behaviour with multiple interacting climate hazards.
The project will also examine the predictability of compound extreme events and their long-term trends. This involves working with large climate datasets, applying statistical methods, and using programming-based data analysis to connect atmospheric processes with observed and projected extremes. The work sits at the intersection of meteorology, atmospheric physics, climate science, and statistical analysis.
The position is based at Uppsala University in Sweden and offers a research environment focused on understanding climate variability, extreme events, and future climate risks. Teaching or supervising duties of up to 20% may be undertaken on a voluntary basis.
Funding details
Fully funded 48-month PhD position. No specific stipend or additional benefit details are provided.
What's required
Applicants must hold a Master's (second-cycle) degree in climate science, meteorology, statistics, physics, or a related field, or have completed at least 240 higher-education credits including at least 60 credits at Master's level and an independent project worth at least 15 credits in the relevant subjects, or possess substantially equivalent knowledge. Strong self-drive, independence, initiative, programming skills for data analysis, and excellent spoken and written English are required. Knowledge of atmospheric dynamics, a strong statistical background, experience analysing large climate datasets, and experience working on physical drivers of climate extremes are merits.
How to apply
Review the full vacancy details at the advertised information link and submit the application through the application process specified there before 16 November 2026.
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