Publisher
source

Martin Jemo

4 months ago

Postdoctoral Fellowship in Modeling and Crop Yield Prediction in Africa Mohammed VI Polytechnic University in

Degree Level

Postdoc

Field of study

Data Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Mohammed VI Polytechnic University

University

Mohammed VI Polytechnic University

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Keywords

Data Science
Ecology
Environmental Science
Agriculture
Biostatistics
Predictive Modeling
Crop Science
Spatial Analysis
Python Programming
R Programming
Machine learning

About this position

The AgroBioSciences Program (AgBS) at Mohammed VI Polytechnic University (UM6P) in Morocco is seeking a highly motivated postdoctoral fellow to join a research initiative focused on modeling and crop yield prediction in Africa. UM6P is a leading institution dedicated to research and innovation, with a strong commitment to advancing economic and human development across the continent. The university is located in Benguerir, at the heart of Morocco's Green City, and is recognized for its unique partnership-based approach and emphasis on skills training relevant to Africa's future.

This postdoctoral position centers on developing and implementing advanced models for estimating and predicting the yields of targeted crops across Africa. The successful candidate will be responsible for collecting and analyzing production data, working collaboratively with a multidisciplinary project team, and valorizing data through review publications. Key responsibilities include developing simulation models using secondary data sources and on-farm trials, conducting spatial analyses to predict yields at various scales, and contributing to the overarching goals of the research project. The fellow will also supervise master’s and doctoral students and is expected to publish research findings in high-impact journals.

Applicants should possess a Ph.D. in agronomy, modeling, biostatistics, or a closely related field. Essential qualifications include documented expertise in geospatial analysis, machine learning, and predictive modeling, as well as proficiency in programming languages such as R and Python. A strong publication record, excellent communication and interpersonal skills, and a high level of motivation for scientific work are required.

To apply, candidates should prepare a cover letter outlining their research interests and the position applied for, a detailed CV, a brief research statement, and contact information for two references. Applications can be submitted via the provided application link. For further information, applicants may contact Professor Martin Jemo at [email protected].

This opportunity offers a dynamic research environment at a university committed to making a significant impact on agricultural science and sustainability in Africa. The position provides the chance to work with leading experts in the field and contribute to innovative solutions for crop yield prediction and food security on the continent.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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