Postdoctoral Researcher in Multimodal Crop Analysis & Fertilizer Optimization

About the role

Mohammed VI Polytechnic University (UM6P), a research-and-innovation university in Morocco, is recruiting a postdoctoral researcher in its College of Computing (Benguerir campus). The project develops farmer-centric systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. The appointment is fixed-term (24 months).

Required profile

• PhD awarded or defended before the start in Computer Science, Remote Sensing/Geoinformatics, Agricultural Data Science or a related field.
• Strong track record in remote-sensing imagery and/or time-series analysis and machine learning/deep learning for spatio-temporal data.
• Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL).
• Ability to work independently and produce reproducible research outputs.
• Good written and spoken English and willingness to collaborate with agronomists and partners.
• Preferred: postdoc or at least 2 years of research experience after the PhD, first-author publications, experience with multimodal data fusion (optical/SAR/soil/phenology), satellite platforms (Sentinel/Landsat/GEE), reproducible pipelines, field or ground-truth experience, agronomic knowledge or fertilizer-recommendation systems, and French/Arabic.

Application materials

• Cover letter matching the project and stating the available start date.
• CV with links (ORCID, GitHub).
• Research statement (1-2 pages) with a 12-18 month plan.
• Up to 3 representative papers and links to code/datasets if available.
• 2-3 referee contacts.

Selection is based on research fit, technical skills and interdisciplinarity; top candidates are invited to a technical interview. The position is based in Benguerir.