| Job Location | Doha, Qatar |
| Education | Bachelor's degree / higher diploma |
| Salary | Not Mentioned |
| Industry | Primary, Prep, & Secondary School |
| Functional Area | Not Mentioned |
ResponsibilitiesYour CommitmentThe successful candidate will help in developing smart agriculture practices and technologies to detect plant diseases using machine vision technologies. He/she will design, develop, test, and implement a machine vision-assisted artificial intelligence (AI) based prototype variable rate sprayers for targeted applications of fungicides in tomatoes and eggplants in greenhouse and field environments. He/she will be involved in developing variable rate sprayers for targeted applications in young date palm trees, utilizing ultrasonic and other sensors for accurate tree volume calculations and disease management.The successful candidate will also monitor water, nutrient, and plant characteristics in real time for agriculture systems comprising greenhouse vegetable and date palm production in Qatar. In particular, the potential candidate will support the research toward the development of intelligent technologies to study aspects of food security and natural resource sustainability in the context of Qatar food security and sustainability needs. The incumbent will perform tests using a variety of modern field and laboratory equipment; assess target detection and spraying accuracy, mitigation strategies for climate change, computational and GIS analysis, calibrating and maintaining instrumentation; participating in the collection of the field as well as greenhouse production samples throughout Qatar, assisting in data analysis, manuscript writing, and preparing project reports. The successful candidates will interact with researchers and stakeholders (local and international collaborators and institutions) with respect to the related projects
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