GET IN TOUCH

Want to get involved?

Office

CS 410 in the Computer Science Department

Email

fheide@cs.princeton.edu

Please reach out, I’d love to meet! I have listed some pointers that will make it efficient to get in touch.

Potential Postdoc, PhD, visiting students, and high-school students
  • We are hiring! If you’re interested in doing a postdoc in the Computational Imaging Lab, please email me with the usual CV, homepage, research objectives, etc.
  • If you’re applying to study at Princeton, and want to work with me, please reach out! We only accept a very small pool of excellent students with strong background in either Computer Vision, Imaging, Machine Learning, Optimization, Physics, or Optics. To ensure that I read your application, please:
      1. apply to the Princeton CS PhD program,
      2. declare a specialization in Vision, Graphics, or AIML  and
      3. mention my name in the application.
  • I look forward to meeting you once you’re admitted.
  • If you’re interested in a temporary research position in the Computational Imaging Lab, please reach out well ahead of the period in question. Unfortunately, I can only accommodate students with funding from their home institution/country.
  • If you’re a high school student interested in research in the NJ / NYC area, please reach out directly.
Princeton students
  • If you’re a Princeton graduate student interested in joining or collaborating with the Computational Imaging Lab, please email me including a brief description of your research interests and a link to your homepage. We’ll find a time to meet.
  • If you’re a Princeton undergraduate interested in an IW (incl. senior thesis), please email me (1) a CV or resume, (2) a recent transcript, and (3) a brief description of the kind of projects you want to work on. I’m open to advising students from all departments.
  • If you’re a Princeton undergraduate interested in research, please start by first doing an IW with me. Students doing research in the lab will be expected to commit significant time (10-20 hours/week) and to be working towards a publishable result.