Connectionists: PhD Position in computational neuroscience - Max Planck Toronto (J. Griffiths) / Saarbrucken (M. Toneva)

[John Griffiths]

We are looking for a PhD candidate to undertake novel research at the
intersection of cognitive neuroscience, computational neuroscience, and
artificial intelligence.
*Topic*

The PhD research topic will focus on understanding key mechanisms that
enable specific cognitive functions in the brain, such as language
comprehension, using a combination of computational neuroscience, machine
learning, and experimental cognitive neuroscience techniques. The student
will develop novel integrations of mechanistic physiological and generative
AI-based theories of brain organization, and test these by designing,
conducting, and analyzing experiments using advanced neuroimaging and
neurostimulation technologies (EEG, fNIRS, TMS, MEG, fMRI, including mobile
w/ VR/AR integration).
*Location*

The student will be jointly supervised by:
Dr. John D Griffiths <https://www.grifflab.com/>, CAMH KCNI & University of
Toronto, Canada
Dr. Mariya Toneva <https://mtoneva.com/>, Max Planck Institute for Software
Systems, Saarbrücken, Germany

This position is jointly hosted by the University of Toronto Max Planck
Centre for Neural Science and Technology and the Max Planck Institute for
Software Systems in Saarbruecken, Germany. The PhD student will spend time
in both locations, deriving full benefit from the two co-supervisors’
complementary scientific expertise, academic environments, and local
infrastructure. The PhD degree will be officially granted by the University
of Toronto (Institute of Biomedical Engineering). All research will be
conducted in English, and proficiency in German is not expected or required.
*Background*

Candidates must have a strong computational and quantitative background,
and must have experience with programming in Python. Experience with
designing, conducting, and analyzing data from neuroimaging (EEG, fNIRS,
MEG, fMRI, TMS) experiments is preferred, but not necessary if a strong
aptitude and motivation to learn can be shown. Proficiency in spoken and
written English and scientific writing is required. Demonstrable knowledge
of and interest in the fields of cognitive and computational neuroscience
is essential. Applicants should familiarize themselves with the two
supervisors’ respective research programs and main recent publications, and
indicate what from this work is particularly in line with their academic
interests *(see website links above and contents therein)*.
*Apply*

To apply, please send an email to both of the prospective supervisors (
john.griffiths at camh.ca and mtoneva at mpi-sws.org) by January 31, 2024 with
the following:
- updated CV
- description of your relevant background and motivation for applying for
this position

Communicating initial expressions of interest sooner rather than later may
be advantageous.

Additionally, candidates will be required to submit an official application
for a graduate position at the University of Toronto Biomedical Engineering
department by February 29, 2024.

To learn more, visit
https://bme.utoronto.ca/prospective-student/admission-to-graduate-studies/.


-- 

Dr. John D. Griffiths

Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto

Assistant Professor @ Department of Psychiatry & Institute of Medical
Sciences, University of Toronto

www.grifflab.com
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