Challenge

Sensing the ionosphere with AI: learning from satellite data

In 2024, the team of about 20 students, collaborating with researchers from the Bruno Kessler Foundation (FBK), the University of Trento (UniTN) and the National Institute for Nuclear Physics (INFN), will embark on an exciting project in Artificial Intelligence. This initiative will focus on the cutting-edge field of satellite data analysis. The project will leverage the potential of the CSES-01 satellite (China Seismo Electromagnetic Satellite) payloads, particularly the High Energy Particle Detector Limadou HEPD-01. Diverse applications will be explored, including analysis of time correlation with seismic and space weather events.

 

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Applications are opening!

How it works

The team accepts a challenge by a collaborating scientist from Ecology, Biology or Social Sciences and develops in three weeks a new web-based prototype for data analysis and management. The school strongly encourages the participation of all genders and various backgrounds.

Students are introduced to Open Source software solutions (scientific programming, web interfaces, database, GIS and data analysis); they discuss, design and develop the new system interacting with scientists. They learn to select tools, organize their own workplan, and respond with a new solution to a problem of ethical interest. A working prototype web solution and technical results are presented at the end of the three week period.

The project activities are developed mostly in teamwork as in a true research environment, that is informal and of high quality in resources, competence and organization. Each student can differently contribute to project with ideas, software code or data preparation, design of new web interfaces, project presentation.

Fellowships are sponsored by FBK and partner organizations, covering tuition and accommodation, as well as computing and scientific resources. Families can be asked for a contribution for sports and social activities organized on weekends.