Connectionists: Postdoc and RA positions at International Research Center of Neurointelligence, U Tokyo

[Mingbo Cai]

Hello,

A new lab lead by Dr. Mingbo Cai will start in the International Research
Center of Neurointelligence (IRCN), University of Tokyo (https://ircn.jp/en/)
in December 2019. A postdoctoral researcher position will be available
starting in 2020 or later. Working language is English (no requirement of
Japanese language skill). You will work in a highly interdisciplinary
research center at the boundary between human and machine intelligence.
There will be plenty of opportunity for collaboration within the center and
globally. Salary is competitive. Starting time is negotiable. The position
is for one year initially and renewable for up to three years based on
performance. For more information about the position and the lab, please
visit https://www.mingbocai.net
There are also research assistant positions available in the lab.

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 will be able
to shape the research program of the lab by bringing your unique insights.

To apply for the postdoc position, please contact Mingbo Cai at
mcai at princeton.edu with a title "[Job Application]" + your name. Please
include a CV, brief statement of research interest, and contact information
for recommendation letters in your email. Unofficial inquiry with only a CV
is OK as well. It is possible to meet personally at RLDM, CCN, and other
conferences. If you are attending any of these conferences and are willing
to meet, please indicate so.

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)


If you are interested in an RA position, please send your CV, transcript,
and (optionally) a brief description of interest to mcai at princeton.edu,
with a title "[Research Assistant]” + your name.

Mingbo Cai, Ph.D.
Princeton Neuroscience Institute
Princeton University
https://www.mingbocai.net/
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