Assistant Professor in Data Assimilation and Satellite Remote Sensing

About the role

Mohammed VI Polytechnic University (UM6P), located in Benguerir, Morocco, is hiring an Assistant Professor in Data Assimilation and Satellite Remote Sensing for its African Research Center on Air Quality and Climate (ARC_AIR). The centre advances research in air quality, atmospheric chemistry and climate, and supports sustainable development in Africa through research, capacity building and technology transfer.

The successful candidate will carry out independent research integrating satellite observations, atmospheric models and ground-based measurements to study air quality, atmospheric composition, greenhouse gases and climate. The post also includes teaching PhD courses and supervising students.

Key responsibilities

• Develop and lead independent research in data assimilation and satellite remote sensing.
• Develop and teach PhD courses on remote sensing, atmospheric science, data assimilation or atmospheric modelling.
• Supervise master's and PhD students.
• Publish in leading peer-reviewed journals and present at international conferences.
• Develop national and international research collaborations and seek competitive research funding.
• Contribute to ARC_AIR and institutional academic activities.

Required profile

• Ph.D. in Atmospheric Science, Remote Sensing, Meteorology, Environmental Science, Earth System Science or a closely related field.
• Strong research record in data assimilation, satellite remote sensing, atmospheric modelling or related areas.
• Demonstrated record of peer-reviewed publications.
• Experience in university-level teaching and student supervision is preferred.

Required skills

• Satellite remote sensing of atmospheric composition, air quality or greenhouse gases.
• Data assimilation methods (variational, ensemble, Kalman filter or hybrid approaches).
• Atmospheric or chemical transport modelling and inverse modelling.
• Processing and analysis of satellite observations.
• Scientific programming in Python, R, Fortran, MATLAB or similar languages.