Connectionists: Postdoctoral position in "Higher-order interactions in brain networks" (Marseille, France)

[Andrea Brovelli]

    Postdoctoral position (1+1 years duration)
    Centre de Physique Théorique, Marseille <http://www.cpt.univ-mrs.fr/>
    and
    Institut des Neurosciences de la Timone, Marseille
    <https://www.int.univ-amu.fr/>



      Project Title: Higher-order interactions in human brain networks
      supporting causal learning

      Supervisors:Alain Barrat (CPT, Marseille)
      <http://www.cpt.univ-mrs.fr/~barrat>andAndrea Brovelli (INT,
      Marseille) <https://www.int.univ-amu.fr/member/brovelli.a>


*Project abstract*: Learning is a brain network phenomenon thought to 
arise from synergistic interactions between multiple brain regions. 
Although central, this hypothesis has never been fully tested, yet. 
Indeed, progress has been limited by the lack of approaches for studying 
brain interactions beyond pairwise relations, the so-called higher order 
interactions (HOIs). Our objective is to build a theoretical and data 
analysis framework to demonstrate the role of HOIs in human brain 
networks supporting causal learning. The Hinteract project will be 
composed of three scientific work packages (WPs). WP1 will develop a 
novel informational theoretical approach to infer task-related 
(functional) HOIs from neural time series and will characterise HOIs 
supporting causal learning using a multiscale dataset including 
magnetoencephalography (MEG) and intracranial 
stereo-electroencephalography (SEEG) data. WP2 will develop a network 
science formalism to analyse the structure and dynamics of functional 
HOIs patterns, and it will characterise the hierarchical organisation of 
learning-related HOIs inferred in WP1. WP3 will compile and share the 
neuroinformatics tools developed in the project and it will make it 
interoperable with the EBRAINS infrastructure. Overall, our project will 
reveal whether causal learning is supported by cerebral HOIs, and 
produce a theoretical and computational framework for the study of HOIs 
in brain networks that will be shared with the scientific community.
Workpackages:
WP1: Inference of learning-related high-order interactions in the brain
WP2: Analysis of learning-related high-order interactions in the brain 
using network science approaches
WP3: Integrated neuroinformatics tools for HOI analysis and sharing on 
EBRAINS infrastructure

The _hired postdoctoral researcher will mainly work on WP2_, i.e., on 
the development of new formalisms and methods to apply to higher order 
interaction patterns identified in the data analyzed in WP1. We are 
looking for a candidate with a strong background in statistical physics, 
complex networks, computational neuroscience and programming, and a 
strong interest in interdisciplinary work. Having already worked on 
higher order networks is a plus but not required.
The hired postdoctoral researcher will be based in the CPT on the Luminy 
Campus (south of Marseille) but will also devote a significant part of 
their time at the INT in the La Timone campus.

*Position starting date:*October 1st, 2024 (negotiable)
*Duration of the position:*1 year, renewable

*Deadline for applications: June 15th, 2024*


*TO APPLY*:

  * please send CV and motivation letter, and
  * have your supervisors send directly two letters of recommendation,

*within June 15th, 2024*to alain.barrat @ 
cpt.univ-mrs.fr*and*andrea.brovelli @ univ-amu.fr
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