ARC_AIR - Postdoctoral Research Position in Agricultural Emissions

Job Title : ARC_AIR - Postdoctoral Research Position in Agricultural Emissions

Mohammed VI Polytechnic University (UM6P) is an institution dedicated to research and innovation in Africa, aiming to position itself among the world s leading universities in its fields. The University is committed to economic and human development and places research and innovation at the heart of Africa s progress. This approach enables UM6P to strengthen Morocco s leadership in these areas through a unique model based on partnerships and by fostering the development of skills essential for Africa s future.

Located in the municipality of Benguerir, at the heart of the Green City, Mohammed VI Polytechnic University aspires to make a lasting impact at the national, continental, and global levels.

About ARC_AIR African Research Center on Air Quality and Climate :

The African Research Center on Air Quality and Climate (ARC_AIR) is a research unit within UM6P dedicated to advancing scientific understanding and innovative solutions in the fields of air quality, atmospheric chemistry, and climate. ARC_AIR s mission is to support sustainable development in Africa through high-impact research, capacity building, and technology transfer. The center brings together a multidisciplinary team of researchers, engineers, and students working on addressing environmental challenges such as industrial emissions, urban pollution, and climate change impacts.

ARC_AIR also collaborates closely with national and international partners to strengthen Africa s contribution to global atmospheric science and to develop tools and strategies that guide evidence-based policymaking.

Monitoring

The African Research Center on Air Quality and Climate (ARC_Air) at Mohammed VI Polytechnic University invites applications for a Postdoctoral Research position monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning.

Research Focus

Estimate cropland emissions (NH

, N

O, CO

, CH

) using satellite observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns.

Key Responsibilities

• Conduct atmospheric chemistry simulations
• Develop deep learning models for emission predictions
• Participate in field campaigns across Africa
• Publish in high-impact journals
• Contribute to data visualization platforms

Required Qualifications