Duties and responsibilities

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.

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.