Opportunities

Graduate Students

Graduate Research Assistant(s): (2021-2022)

  • Single-photon imaging

  • Imaging through turbulence

Please email Prof Chan if you are interested. See instructions below.

In your Purdue graduate school application, please put Prof. Chan as your preferred faculty, and please choose CNSIP as your area.

We are interested in students who meet these criteria:

  • Good attitute.

  • Interested in imaging + learning:

  • Adequate programming skills: PyTorch, TensorFlow.

  • Independence: Can solve problems by yourself.

  • Good English. Speaks well. Writes well.

If you are interested, please send Prof. Chan an email with the following items:

  • Your resume / CV;

  • Transcript;

  • One representative paper. That could be a journal article, a conference paper or a project report.

  • Tips: Read carefully about what we do in i2Lab, and convince us that you can contribute.

Advice on Deep Learning: We are generally open to students with different background, e.g., physics major or mathematics major. However, we are NOT interested in applicants who only want to pursue deep learning applications. We like to recruit students who can analyze the network, develop theory, and have insights. Applicants who have demonstrated how to apply deep networks (e.g., LSTM, recurrent network, Mask-RCNN) to specific applications (e.g., recognizing pedestrians) are NOT our priority.


Undergraduate Research

Undergraduate volunteers: (Academic Year 2021-2022)

Please email Prof Chan if you are interested.

  • Good GPA: Our most recent undergraduates typically have GPA of 3.9 or above.

  • Self-Motivated: Projects at i2Lab are open problems. We expect that you can learn things by yourself, and work independently.

If you are interested, please send Prof. Chan an email with the following items:

  • Your resume / CV;

  • Undergraduate transcript;