"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 (NH3, N2O, CO2, CH4) 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

• Ph.D. in Atmospheric Science, Environmental Science, Remote Sensing, or related field
• Experience in atmospheric modeling, satellite remote sensing, or machine learning
• Programming skills (Python or R)
• Strong publication record