PhD position(s) in an
ERC-funded project exploring deep-learning implementations of the
Global Workspace theory.
We are seeking highly motivated and dedicated students to join our
group in Toulouse, France. Successful candidates will have formal
training in AI, Computer Science or related fields (e.g.
computational neuroscience), and a keen interest in cognitive
neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration
from neuroscience and cognitive theories to build deep neural
network models of cognition, capable of integrating or "grounding"
information across sensory and linguistic modalities, and of
displaying flexible cognitive behavior. We will also use advanced AI
models to improve the decoding and understanding of brain activity.
Details on the ideas that are developed in the project can be found
in this Opinion paper. The project is headed by
Rufin VanRullen (CNRS, Toulouse, France), with external advisors
Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind,
London, UK).
Our lab
is part of the CerCo Institute as well as the Artificial
and Natural Intelligence Toulouse Institute (ANITI). Our team
has many opportunities to collaborate with neuroscientists, computer
scientists, linguists, roboticists etc. We have direct access to
fMRI recording facilities and to in-house (GPU) computing clusters
as well as research-dedicated supercomputers.
Typical appointments for PhD students are 3 years. The PhD stipend
is 2,000 Euros/month (net). We expect to hire at least one candidate
in the Fall of 2024, but will continue to recruit exceptional
applicants in the foreseeable future. There is no firm deadline, but
applications received before May 15, 2024 will receive full
consideration. To apply, please send
a CV and a letter explaining your research interests and
motivations to: rufin.vanrullen [at] cnrs.fr
Any questions should also be directed to the same address.
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