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LATMOS-CNRS

PhD in Artificial Intelligence and Satellite Remote Sensing for Climate Trends in Precipitation LATMOS – Université Paris-Saclay/UVSQ in France

Degree Level

PhD

Field of study

Computer Science

Funding

A PhD opportunity is announced; funding details are not specified in the post.

Deadline

Sep 30, 2026

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Country

France

University

LATMOS-CNRS

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Keywords

Computer Science
Environmental Science
Remote Sensing
Artificial Intelligence
Climate Science
Earth Science
Uncertainty Analysis
Earth Observation
Generative Modeling
Statistics
Precipitation

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About this position

PhD opportunity in Artificial Intelligence, Satellite Remote Sensing, Earth Science, and Statistics at LATMOS – Université Paris-Saclay/UVSQ, in collaboration with the ARCHES team at INRIA Paris, France.

The project (AICAtS) focuses on quantifying uncertainties and confidence in climate trends in precipitation derived from heterogeneous satellite archives using probabilistic generative AI models. Research themes include estimating precipitation from satellite observations, harmonizing data from different sensors in the GPM constellation, assessing climate trends and extreme precipitation events, and building a global high-resolution precipitation database with uncertainty estimates.

This is a PhD opening with an expected start date in January 2027. The post does not specify stipend, tuition, or other funding details.

Applicants should send a CV and motivation letter to Dr. Cécile Mallet at [email protected]. The application deadline is 30 September 2026.

Funding details

A PhD opportunity is announced; funding details are not specified in the post.

What's required

Applicants should prepare a CV and motivation letter. The topic suggests strong interest or background in artificial intelligence, probabilistic generative models, satellite remote sensing, precipitation/climate analysis, and uncertainty quantification.

How to apply

Send a CV and motivation letter by email to Dr. Cécile Mallet at [email protected]. The position is expected to start in January 2027.

More information can be found here

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