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
Country
Morocco
University
Mohammed VI Polytechnic University
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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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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.