Mohammed VI Polytechnic University
2 weeks ago
Postdoctoral Position in Modeling and Crop Yield Prediction in Africa Mohammed VI Polytechnic University in Morocco
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Oct 31, 2026
Country
Morocco
University
Mohammed VI Polytechnic University

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About this position
Mohammed VI Polytechnic University (UM6P), through its AgroBioSciences Program (AgBS), is recruiting a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The project focuses on developing models to estimate and predict yields of targeted crops across Africa, combining agronomy, modeling, biostatistics, geospatial analysis, machine learning, and predictive modelling.
The selected researcher will collect crop production data, work with the project team, develop and implement simulation models using secondary data sources and established on-farm trials, conduct spatial analysis to predict yield at scale, contribute to the broader research goals, supervise master’s and doctoral students, and publish in high-impact journals.
Eligibility highlights: PhD in agronomy, modeling, biostatistics, or a related field; documented knowledge of geospatial analysis, machine learning, and predictive modelling; strong programming skills in R, Python, and other languages; publications in the field; excellent communication and interpersonal skills; and strong motivation for scientific work.
Application materials: cover letter stating the position and main research interests, detailed CV, brief research statement, and contact information for two references. Further inquiries may be addressed to Pr. Jemo Martin at [email protected].
Location: Benguerir, Morocco. Deadline: 31 October 2026.
Funding details
Available
What's required
PhD in agronomy, modeling, biostatistics, or a related field. Documented knowledge of geospatial analysis, machine learning, and predictive modelling. Good command of programming tools such as R packages, Python, and other programming languages. Publications in the field. Excellent communication and interpersonal skills, with high motivation and interest in scientific work.
How to apply
Prepare a cover letter stating the position and main research interests, a detailed CV, a brief research statement, and contact information for two references. Submit the application through the job application portal.
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