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Mohammed VI Polytechnic University

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Postdoctoral Research Position in Agricultural Emissions Monitoring Using Satellite Remote Sensing and Deep Learning Mohammed VI Polytechnic University in Morocco

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 4, 2026

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Country

Morocco

University

Mohammed VI Polytechnic University

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Keywords

Computer Science
Environmental Science
Agriculture
Deep Learning
Remote Sensing
Climate Science
Atmospheric Science
Air Quality Management
Earth Science
Greenhouse Gas

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About this position

Mohammed VI Polytechnic University invites applications for a postdoctoral research position at the African Research Center on Air Quality and Climate (ARC_AIR) in Benguerir, Morocco.

The project focuses on monitoring agricultural emissions across Africa, with particular attention to cropland emissions of ammonia (NH3), nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4). The researcher will combine satellite remote sensing, atmospheric chemistry models, and physics-informed deep learning to estimate emissions and improve understanding of agricultural impacts on air quality and climate.

The role involves conducting atmospheric chemistry simulations, developing deep learning models for emission prediction, and validating results through field campaigns across Africa. The researcher will also contribute to high-impact publications and data visualization platforms supporting the interpretation and communication of atmospheric emissions data.

ARC_AIR is a multidisciplinary research center within Mohammed VI Polytechnic University that brings together researchers, engineers, and students working on air quality, atmospheric chemistry, climate change, industrial emissions, urban pollution, and environmental challenges affecting Africa. The center collaborates with national and international partners on atmospheric science, capacity building, technology transfer, and evidence-based environmental policymaking.

Funding details

Available

What's required

Applicants must hold a Ph.D. in Atmospheric Science, Environmental Science, Remote Sensing, or a related field. Applicants should have experience in atmospheric modeling, satellite remote sensing, or machine learning; programming skills in Python or R; and a strong publication record.

How to apply

Apply through the online application form linked from the job advert. Submit your first name, last name, email address, CV, additional supporting documents if applicable, and a required cover message.

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