Mainly PhD students affiliated to institutions from the European Union (but early-stage researchers are also welcome). Successful applicants will: • be in the process of completing a PhD in a field relevant to the summer school, or be young researchers; • have a project related to the field of -using- Earth Observation and machine learning, or related fields; • meet the requirement for successful completion of the application; • have an adequate background (types and contents of courses attended and results obtained by the applicant) with respect to the Earth Observation, Machine Learning; • show capacity for openness and curiosity contributing to the school program; • be able to put the summer school training in perspective with their future career; The following criteria will be evaluated by the selection committee: • age • domain of study • year of study • country of study • country of origin, • data user knowledge • motivation to follow the course