Postdoctoral Fellowship in Agricultural Yield Modelling and Prediction in Africa Mohammed VI Polytechnic University in

Postdoctoral fellowship at Mohammed VI Polytechnic University (UM6P) in Morocco focused on modelling and prediction of agricultural yields in Africa.

The project sits at the intersection of Agriculture, Environmental Science, Geography, Statistics, and Computer Science, with an emphasis on data-driven and geospatial approaches to crop yield forecasting.

Research themes include crop yield modelling in Africa, spatial analysis and geospatial data, machine learning and predictive modelling, and the use of multi-source agricultural datasets to improve forecasting and support decision-making for more resilient and sustainable agriculture.

The role includes collecting and analysing agricultural data at different scales, developing simulation and prediction models, performing spatial analyses to estimate yields, publishing in high-impact scientific journals, and supervising Master's and PhD students.

Eligibility highlights: a PhD in agronomy, modelling, biostatistics, or a related field; experience with GIS, machine learning, modelling, and geospatial data analysis; and proficiency in Python, R, or similar scientific programming tools.

No deadline or funding details were stated in the post. Interested candidates should use the linked offer page to review the full call and application instructions.