Program Details

Acceptance into the program provides a 1 year designation as a DIRECT trainee, providing data science training in the area of clean energy research.

Objective & Focus

As a DIRECT trainee you will:

– Participate in a customized 2 course sequence during Winter quarter (ChemE 545/546, offered jointly with MSE and Chem) to gain comprehensive training in Python programming, statistics, data science methods, and practical application of data science to molecular and materials problems. No prior computational training is needed.

-Participate in DIRECT Capstone course (ChemE 547) during spring quarter, working with a team on a data-intensive capstone research project. Capstone projects are sponsored by UW students and faculty as well as external sponsors.

-Have the chance to participate in an internship.

-Participate in data science seminars, events, training, and professional development activities organized by the Clean Energy Institute, the eScience Institute, and the DIRECT program.

Financial Support

Limited funding available for Ph.D. students. All Ph.D. students who apply for DIRECT will be considered for financial support. Both Ph.D. and Master students are eligible to participate in traineeship.


To be eligible for Traineeship during the 2021-2022 academic year:

  • Ph.D. students should be in the second year of their program
  • Master students should be in their first year (applications for MS open in October).

Students who have received CEI (Clean Energy Institute) fellowships in the past may apply; however, previous CEI financial support will be considered when making funding decisions.

Evaluation & Announcement Date

Ph. D. Fellows: Final decisions will be announced June 1

Master students: Final decisions will be announced in early November

Selection Criteria

We will evaluate DIRECT applications based on the following criteria

  • Academic record in relevant coursework
  • Applicability of data science to current research
  • Applicability of data science to future career goals
  • Potential impact on UW labs, research, and other UW students by your participation


Please consult the FAQ or send questions to