The World Agroforestry Centre, is an international institute headquartered in Nairobi, Kenya, and founded in 1978. The Centre specializes in the sustainable management, protection and regulation of tropical rainforest and natural reserves.
Job Description
Data science & remote sensing
- Train and deploy complex GNN models for continental weather forecasting.
- Perform scientifically robust validation of ML predictions.
- Develop pipelines to populate and update the STAC.
- Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
- General data analysis and report writing.
Dashboard development
- Develop interactive dashboards to display analyses using R, Python and/or Julia.
- Develop interactive tools to share and communicate spatial data sets through, for instance, earth engine app.
Various other tasks
- Contribute to scientific papers.
- Contribute to proposal development and writing.
Job Requirements
- BSc degree in remote sensing and spatial data science is required with proven ability to perform complex data science and remote sensing tasks and combine various (remotely sensed) datasets.
- Develop dashboards showing (remotely sensed) data.
- Advanced computer programming skills in R, Python, Javascript, database technologies, and data management.
Method of Application
Meet the Qualifications ? Apply now at World Agroforestry Centre (ICRAF) on www.cifor-icraf.org