AgBS - Post-Doctoral in Modeling and Crop Yield Prediction in Africa
MOHAMMED VI POLYTECHNIC UNIVERSITY, Morocco
- Institution
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Country
- Morocco
- Position type
- PhD
- Subject area
- Agriculture & Food Science
- Hours
- Full Time
- Location
- MA
- Funding
- Fully funded position
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About this position
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields
The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa.
Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
Position Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS)
Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa
Area of specialization: Agronomy, Modeling, biostatistics,
Job/Project description:
The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops in Africa.
Main responsibilities:
The selected candidate will be expected to:
- Collect the data regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications.
- Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa.
- Conduct spatial analysis to predict yield at scales.
- Contribute to the overarching goals of the research project team.
- Supervise master and doctoral student.
- Publish results in high impact factor journals.
Education, qualifications, and experience
- Ph.D. in, Agronomy, modeling, biostatistics, or related field
- The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling,
- Have a good command of programming tools such as R packages, Phyton, and other programming languages
- Publications in the field
- Excellent communication and interpersonal skills. High motivation and interest in scientific work
- Applications and selection procedure:
Application folder must contain:
- Cover letter indicating the position applied for and the main research interests. Detailed CV.
- Brief research statement.
- Contact information of 2 references
Further inquiries should be addressed to Pr. Jemo Martin (martin.Jemo@um6p.ma) UM6P.
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