hiring

Join the Princeton RL group!

Because students from overrepresented groups are statistically more likely to apply [1, 2, 3], I especially encourage prospective students/postdocs from historically underrepresented groups to reach out.

  • Pre-doctoral researcher, interns: I currently don’t have funding for these positions. For equity reasons, I don’t allow unfunded/volunteer positions.
  • Visiting students: If you are a PhD student at another University interested in visiting the RL group for some number of months, email me. In most cases, I will expect that the visit is funded by your home institution.
  • MS/PhD applicants: I do not plan to admit PhD students for the Fall 2025 application cycle. MS admissions is handled through the department. Useful resources:
  • Incoming Princeton PhD & MS students: If you’re an existing Princeton MS/PhD student interested in working together, send me an email.
  • Princeton Undergrads: If interested in independent research, email me after taking either my graduate RL seminar or the undergraduate RL course.
  • Postdocs: I am especially interested in working with a postdoc on (1) large-scale unsupervised RL, (2) connections between unsupervised RL (e.g., contrastive representations) and neuroscience (e.g., grid cells), and (3) applications of RL to synthesis problems in science/engineering. I do not currently have funding for a postdoc, so applicants are expected to secure a postdoc fellowship (e.g., Princeton Presidential Fellowship, the CSML Postdoc Fellowship, the PLI Postdoc Fellowship). Apply by emailing me, including a resume, a few paragraphs about what you’d like to work on, and what fellowship[s] you plan to apply to (I can usually write a letter of support for these).
  • High school students: I don’t work with high school students. Check out Princeton AI4All.

Tips:

  • I am especially interested in recruiting students/postdocs with experience in (1) neuroscience + RL, (2) applications of control/planning/RL to science/engineering, or (3) large-scale GPU training.
  • In your application, demonstrate that you understand the sorts of research that we’re doing (e.g., check our a recent talk or paper).