Mohammed VI Polytechnic University
International Water Research Institute (IWRI)
Position Announcement:IoT DeveloperExpert
Job Title:Mobile App and Data Platform Developer
Area of specialization in IWRI:Machine Learning Applications in Climate Change Impacts on Agriculture
Job description:
We are in search for a one-year term research fellow to work on the above topic. The focus of this position will be to identify ways of closing yield and precipitation gaps through nutrient and water management options. Machine leaning approaches can be particularly useful here in predicting yields and precipitation gaps. Machine learning techniques (Artificial Neural Network-ANN and Support Vector Machines-SVM) go beyond yield and precipitation prediction based on historical data to incorporate computer vision technologies to provide data on weather economic conditions. In addition, machine learning can enhance other facets such as cultivar selection, soil and water management and disease detection. The candidate will use this information to design an App and a data platform that can be utilized by farmers and other stakeholders to close the yield gap.
Key duties:
The key deliverables will include:
- Using machine learning approaches to predict past, present, and future yield and precipitation gaps in Morocco.
- Identify thedrivers of yield and precipitation gaps
- Developing anAppand the data platform
- Piloting grassroot level sessions with smallholder farmers on the use of theAppand the data platform
