Available from 2020

Postdoctoral Researcher

I will start a lab in the International Research Center for Neurointelligence at the University of Tokyo in December, 2019. If you are interested in working with me as a postdoc starting some time in 2020 or later, please contact me at mcai@princeton.edu with a title "[Postdoc Application] + your name". Salary is competitive. Working language is English (no requirement of Japanese language skill).

The initial research directions of the lab will include (1) the computational mechanisms of human learning and decision making, especially the mechanism of learning latent causal structure and rules of unknown complex environment, and (2) development and application of novel algorithms for analyzing human imaging data (fMRI and others) based on Bayesian principles and deep learning, to understand neural representation of environment structure and/or develop novel biomarkers of psychiatric conditions. In the long run, the lab will gradually expand its research scope to computational psychiatry and brain-inspired AI. You are encouraged to pioneer research in these fields and shape the research program of the lab by bringing your unique insights.

To apply, please include in your email a CV, a research statement describing your past research and how your experience might be relevant for one or more of the research interests of the lab, and contact information for recommendation letters. It is possible to meet personally at RLDM, CCN, SfN and other conferences. If you are attending any of these conferences or major neuroscience/machine learning conferneces and are willing to meet, please indicate so. Informal inquiry is accepted.

Preferred candidate:

  • Ph.D. in neuroscience, cognitive science, psychology, machine learning, computer science, physics, biomedical/electrical engineering, mathematics, statistics, or other related quantitative fields.
  • Interest in at least one of the areas of (1) human learning and decision making, (2) advanced algorithm for neural imaging data, (3) brain-inspired AI, or other research interest related to these themes.
  • Good programming skills
  • Good English communication and writing skills
  • Comfortable working with equations
  • Likes being constructive
  • Self-motivated

A plus if you have:

  • Knowledge and/or experience in any of: active learning, causal inference, Bayesian data analysis, probabilistic programming, reinforcement learning, developmental psychology
  • Experience contributing to open-source software
  • Experience with one of deep learning frameworks (e.g., tensorflow, pytorch)

Part-time or Full-time Lab Research Assistant (pre-doctoral, non-degree granting)

If you are interested in learning how to study human brain with experiment and computational modeling, please feel free to send your CV, transcript, and (optionally) a brief description of interest to mcai@princeton.edu, with a title "[Research Assistant] + your name”. If possible, please also include contact information for recommendation letters. Some knowledge of Japanese is preferred but not required. Local students are more than welcome. This position is available from 2020.

Summer Intern

Ask me about possibilities!