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Instituto de Economía y Geografía y Demografia, CSIC

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Fully Funded PhD in AI Weather Prediction and Climate Change Attribution of Extreme Events Instituto de Geociencias (CSIC–UCM) in Spain

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD with approximate net stipend of €1,655 per month for 4 years.

Deadline

Dec 31, 2026

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Country

Spain

University

Instituto de Economía y Geografía y Demografia, CSIC

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Keywords

Computer Science
Data Science
Environmental Science
Mathematics
Artificial Intelligence
Climatology
Climate Science
Atmospheric Science
Earth Science
Statistics
Physics
Applied Mathematic

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About this position

Fully funded PhD opportunity in Spain at the Instituto de Geociencias (CSIC–UCM) for research on AI weather prediction and climate change attribution of extreme events.

The project is well suited to candidates with backgrounds in climate science, meteorology, atmospheric and environmental sciences, physics, applied mathematics, computer science, data science, or other quantitative disciplines. The topic combines Earth system science with machine learning and computational methods, making it attractive for students interested in forecasting, climate analytics, and extreme-event attribution.

Funding: approximately €1,655 net per month for 4 years. The post is described as fully funded.

Deadline: 31 December 2026. Start: Spring 2027.

Institution: Instituto de Geociencias (CSIC–UCM).

Interested applicants should follow the application link in the post, review the eligibility/background expectations, and submit before the deadline.

Funding details

Fully funded PhD with approximate net stipend of €1,655 per month for 4 years.

What's required

Applicants should have a background in climate science, meteorology, atmospheric or environmental sciences, physics, applied mathematics, computer science, data science, or another related quantitative discipline. The post implies a strong quantitative profile suitable for AI-based weather prediction and climate change attribution research.

How to apply

Use the application link provided in the post to access the opportunity details and submit an application. Review the eligibility background areas before applying. Apply before 31 December 2026.

More information can be found here

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