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Instituto Español de Oceanografía (IEO-CSIC)

PhD in AI-based Weather Prediction and Climate Change Attribution of Extreme Events Instituto de Geociencias (IGEO, CSIC-UCM) in Spain

Degree Level

PhD

Field of study

Computer Science

Funding

The position is a 4-year PhD researcher appointment. Salary is approximately €1,655 net per month depending on personal tax circumstances, with full Spanish Social Security coverage and standard employee benefits. The project is funded by the Comunidad de Madrid through the César Nombela Talent Attraction Programme.

Deadline

Dec 31, 2026

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Country

Spain

University

Instituto Español de Oceanografía (IEO-CSIC)

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Keywords

Computer Science
Environmental Science
Mathematics
Climatology
Climate Science
Atmospheric Science
Earth Science
Python Programming
Extreme Events
Numerical Weather Prediction
Statistics
Physics
ML

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About this position

PhD opening at the Instituto de Geociencias (IGEO, CSIC–UCM) in Madrid, Spain, within the Physics of Climate and Climate Change group and the STREAM research group at Universidad Complutense de Madrid.

The project, ADAPT-X – AI-Driven AnticiPated aTtribution of eXtreme events, focuses on AI-based weather prediction, climate change attribution, extreme events, and the evaluation of machine-learning weather models for heatwaves, heavy precipitation, droughts, and severe storms. The PhD researcher will study predictive skill, atmospheric processes, factual and counterfactual forecast experiments, and compare AI-based attribution with physics-based numerical weather prediction.

This is a 4-year full-time PhD position starting in Spring 2027 or as soon as possible thereafter. The salary is approximately €1,655 net per month, with full Spanish Social Security coverage and standard employee benefits. The project also offers access to GPU and high-performance computing resources and opportunities for international collaboration and research stays.

Eligibility highlights: a Master’s degree (or near completion) in atmospheric sciences, meteorology, climate science, physics, applied mathematics, environmental sciences, computer science, data science, or a related quantitative field; strong Python/scientific programming skills; good English; and a strong quantitative background. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets is advantageous.

Apply by email with a single PDF including CV, motivation letter, transcripts, and two referees’ contact details. Deadline: 31 December 2026 (applications may be considered after this date until filled).

Funding details

The position is a 4-year PhD researcher appointment. Salary is approximately €1,655 net per month depending on personal tax circumstances, with full Spanish Social Security coverage and standard employee benefits. The project is funded by the Comunidad de Madrid through the César Nombela Talent Attraction Programme.

What's required

Applicants should hold, or be close to completing, a Master’s degree giving access to a PhD programme in atmospheric sciences, meteorology, climate science, physics, applied mathematics, environmental sciences, computer science, data science, or a related quantitative field. Good scientific programming skills, particularly in Python, are required. A strong quantitative background and interest in atmospheric and climate science are expected. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would be advantageous. Good written and spoken English and the ability to work independently and collaboratively are required.

How to apply

Send a single PDF containing your CV, one-page motivation letter, academic transcripts, and contact details of two potential referees by email to [email protected]. Use the subject line “ADAPT-X PhD application – [Candidate name]”. Applications may still be considered after the deadline until the position is filled.

More information can be found here

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