Identifying the Physical Process of Planet Formation


Understanding planet formation is key to unlocking Earth’s and the Solar System’s history as well as the possibility and abundance of life in the universe. Using observational and simulational data, the student will train machine learning models that can detect the presence of a particular physical process in planet-forming environments. The student will apply their models to data from real observations with the hopes of finding previously overlooked phenomena in order to further inform the scientific community of relevant, observable phenomena involved in planet formation.


Total project length: 175/350 hours.

Task Ideas

Expected Results



Use this link for instructions on completing the test. The test is due by April 3rd, however please keep in mind that it takes about 1 week to craft a good proposal and proposals need to be submitted via GSoC portal by April 4


Please DO NOT contact mentors directly by email. Instead, please email with Project Title and include your CV. The mentors will then get in touch with you.

Corresponding Project

Participating Organizations