PhD Monitor
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Environmental Science● OpenPreview

PhD position on AI-based Weather Prediction and Climate Change Attribution of Extreme Events

Join a pioneering project leveraging AI for climate science.

Best for:Best for candidates with a strong background in atmospheric sciences and programming skills in Python.

Consejo Superior de Investigaciones Científicas (CSIC) · Madrid, Spain · R1 · First-stage researcher
More professors at Consejo Superior de Investigaciones Científicas (CSIC)
AI-based weather predictionclimate change attributionextreme weather eventsatmospheric processes
Deadline
Until filled
rolling
Funding
Salaried
€1.7k/mo
Start date
Spring 2027 or as soon as possible thereafter
Full-time
Location
Madrid
Spain

Overview

The Physics of Climate and Climate Change group at the Instituto de Geociencias (IGEO-CSIC) in Madrid is seeking a PhD researcher to contribute to the ADAPT-X project. This four-year position focuses on utilizing AI-driven weather prediction models to enhance the forecasting and attribution of extreme weather events. The successful candidate will conduct experiments to assess the predictive capabilities of these models and their representation of atmospheric processes. This role offers access to advanced computing resources and opportunities for international collaboration.

PhDclimate sciencemachine learningPythonnumerical modelingenvironmental sciencedata scienceforecasting

What you'll do

  • Evaluate the predictive skill of AI weather models for extreme events.
  • Conduct factual and counterfactual forecast experiments.
  • Quantify the influence of anthropogenic climate change on individual weather events.
  • Assess the physical consistency of model responses using diagnostics.
  • Compare AI-based attribution with traditional numerical weather prediction simulations.

Requirements

Degree required: Master’s degree in atmospheric sciences, meteorology, climate science, physics, applied mathematics, environmental sciences, computer science, data science, or a related quantitative field

Degree offered: PhD

Language: English; Excellent proficiency required

Instruction: English

Required skills
  • Strong programming skills in Python
  • Experience with atmospheric dynamics
  • Knowledge of numerical modeling techniques
  • Familiarity with machine learning applications
Nice to have
Experience with large meteorological datasetsBackground in climate modelingUnderstanding of statistical analysis methods
Eligibility
  • Must hold or be close to completing a Master’s degree
  • Open to all nationalities

Funding & terms

Type
Salaried
Amount
€1.7k/mo
Duration
4 years
Programme
César Nombela Talent Attraction Programme
Comunidad de Madrid

How to apply

Deadline: 2026-12-31 (Europe/Madrid) · open until filled

Interested candidates should submit a single PDF containing their CV, a one-page motivation letter, academic transcripts, and contact details of two referees. Applications should be sent via email with the specified subject line.

Documents required
  • CV
  • Motivation letter
  • Academic transcripts
  • Contact details of two referees
✉Apply by email

Contact

Bernat Jiménez· Researcher

bernatji@ucm.es

https://igeo.ucm-csic.es/

BJ
Prof.
Bernat Jiménez
Instituto de Geociencias
Lab
Physics of Climate and Climate Change group
Consejo Superior de Investigaciones Científicas (CSIC)
César Nombela Talent Attraction ProgrammeSpain
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