Publisher
source

Centre National de la Recherche Scientifique

Postdoc in Wet-Bulb Temperature Reporting and Analysis using Satellite Data and Deep Learning Centre National de la Recherche Scientifique in France

Degree Level

Postdoc

Field of study

Deep Learning

Funding

Temporary full-time postdoctoral contract (35 hours/week). The post is part of an ANR French National Research Agency project between LATMOS and INRIA. The post mentions access to LATMOS/ IPSL computing cluster and possible access to Jean Zay, but no stipend amount is stated.

Deadline

Sep 26, 2026

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Country

France

University

Centre National de la Recherche Scientifique

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Keywords

Deep Learning
Remote Sensing

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About this position

Postdoctoral position at CNRS / Laboratoire Atmosphères et Observations Spatiales (LATMOS) in France on wet-bulb temperature reporting and analysis using satellite data and deep learning.

The project is part of an ANR collaboration between LATMOS and INRIA. The research focuses on computing wet-bulb temperature as a habitability and thermal stress index from satellite observations, especially the IASI and IASI-NG missions operated by LATMOS.

Core tasks include understanding infrared data from the IASI mission, identifying channels needed for wet-bulb temperature retrieval, co-locating satellite data with ground-based HadISD stations, running neural networks to identify the best architecture for a case study on India, and contributing to conferences, meetings, and a paper.

The postdoc will be based at LATMOS in the Atmospheres department, with regular weekly visits to INRIA. LATMOS provides access to the IPSL computing cluster, and access to Jean Zay is also possible.

Eligibility highlights: PhD or equivalent; PhD in earth/environmental sciences or remote sensing with applications in AI; Linux and Python skills; good English; basic French.

Deadline: 26 September 2026, 23:59 UTC. The position starts on 1 January 2027.

Funding details

Temporary full-time postdoctoral contract (35 hours/week). The post is part of an ANR French National Research Agency project between LATMOS and INRIA. The post mentions access to LATMOS/ IPSL computing cluster and possible access to Jean Zay, but no stipend amount is stated.

What's required

PhD or equivalent is required, specifically a PhD in earth/environmental sciences or remote sensing with applications in AI. Applicants should have Linux and Python skills and a good command of English. Basic French is listed in the requirements. No prior research experience is specified.

How to apply

Apply through the CNRS job portal using the provided vacancy page. A Euraxess view/apply link is also listed for the same position. Review the job details and submit before the deadline.

More information can be found here

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