Requirements

The traineeship is comprised of required components as well as a number of additional opportunities.

The requirements for PhD students are:

  • Involvement in an interdisciplinary research project, co-advised by two faculty: one from the domain discipline (Physics and Astronomy, Earth and Planetary Science) and one from a methods discipline (Electrical Engineering and Computer Science, Applied Mathematics, Statistics)
  • Coursework leading to a certificate in Integrated Data Science.
  • Participation in the Focus Summer School in visualization and programming
  • Completion of both of the Research Communication courses.
  • A summer Internship¬†with one of the IDEAS partnering research institutions or firms.
  • Participation in the Machine Learning Meetup
  • Involvement in the development of a Citizen Science project related to the research focus. (Only required for IDEAS Trainees who receive NSF funding.)

The requirements for Masters degree students are:

  • Involvement in an interdisciplinary research project, co-advised by two faculty: one from the domain discipline (Physics and Astronomy, Earth and Planetary Science) and one from a methods discipline (Electrical Engineering and Computer Science, Applied Mathematics, Statistics)
  • Coursework leading to a certificate in Integrated Data Science.
  • Participation in the Focus Summer School in visualization or programming
  • Participation in the Machine Learning Meetup
  • Completion of one of the Research Communication courses.

The additional opportunities available to IDEAS Trainees as well as other students are: