🎓 Grad school applications can be overwhelming, and we've noticed some questions from our students and trainees. At the ICON lab, we've gathered some helpful suggestions from our colleagues as we are planning to review applications for the upcoming cycle. We hope these tips benefit not only our applicants but also those pursuing other programs. Always feel free to reach out if more questions arise. See the link to these suggestions here

Prospective students

The lab is accepting applications in the 2024-25 cycle (due Dec, 2024). Prospective students can start with reviewing the lab’s research and recent publications to gauge the potential fit. Information on this page may also be helpful. Potential students interested in joining the lab may apply through UMD Graduate Admissions (Psychology or Neuroscience programs). Please indicate your interest in joining Professor Xie’s Lab in the appropriate locations of the application and in your personal statement. It is highly recommended that you send Professor Xie an email stating your interest as early as possible.

  • The lab is looking for students who are curious about the relationship between the human brain and cognition and, in particular, motivated to study this relationship through the lens of memory in healthy and aging/clinical populations. We study questions in this research domain using diverse methods, including computational modeling, machine learning, online/laboratory behavioral experiments, intracranial/scalp EEG, eye-tracking, neuroimaging, and brain stimulation. If your conceptual and methodological interests fit within this area, please apply!

    Also, we make no difference in considering international or domestic applicants in terms of research training and funding package. We strongly encourage students of different backgrounds to apply as long as your research interests align with ours. For international applicants, we support your visa process if an offer is given.

  • The goal of graduate training is to prepare one with a critical mind, sufficient content-area knowledge, a solid research program, and sophisticated analytical skills to pursue a future career in science, education, policy, or industry.

    To achieve this goal, the lab provides conceptual, methodological, and financial support for your graduate study. This includes regular meetings to develop research ideas, scientific and grant writing training, conference presentation and financial support, career development support, and hands-on training in advanced methods (e.g., computational modeling, statistics, programming, behavioral experiments, electrophysiology, neuroimaging, and brain stimulation). The lab also offers abundant opportunities for graduate research with partnership programs at the NIH and local hospitals. Furthermore, to hone your skills in academic or nonacademic settings, graduate students will be supported to mentor undergraduates and junior research staff.

  • There are many factors to consider when you pick a place for graduate school. If your interests align well with that of the ICON lab, we strongly encourage you to apply. We believe our training and resources in the DMV area may provide you with the necessary support for your academic success in Cognitive Psychology/Neuroscience.

    However, like most places, we find no magic in our recipe of science: it requires time and effort, and sometimes a little bit of luck. The progress of science depends on our collective time, effort, and luck. The ICON lab, therefore, believes that research is a community effort, and encourages students to consider multiple options along with the ICON lab.

  • It’s not easy to definite “fit,” as we believe everyone has abundant potentials. In general, we find students with the following characteristics tend to benefit most from graduate training (ranked by importance):

    • Intellectually curious, with a passion for learning and an enthusiasm for research (some describes it as “fire in the gut.”)

    • Enjoy writing and sharing your stories.

    • Prior research experience (in any field), demonstrated through either the completion of an independent research project during undergraduate (e.g., honor thesis) or via post-bac training with some contributions to a research outcome (e.g., conference poster or publication).

    • Experience with statistical analysis of behavioral and/or neural data, and some prior experiences in Matlab, R, or Python.