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Permanent position in computational neuromodulation of brain

networks and application to mental disorders

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The new research team NECTARINE at Inria in Strasbourg / France aims to create

a synergy between clinicians and computational researchers to develop new healthcare

technologies. The team works on stochastic microscopic network models to describe

macroscopic experimental data and computational techniques of neural feedback control

based on subject behavior and/or encephalographic data.  We collaborate closely with

clinicians and choose our research focus along the clinical applications.

Major scientific objectives are stochastic multi-scale simulations of neurostimulation and

corresponding mean-field descriptions of neural activity on the macroscopic scale. 

Moreover, we develop novel closed-loop techniques with real-time control merging

experimental data and numerical models by machine learning techniques. The team's

clinical research focuses on neuromodulation of patients suffering from deficits in attention

and temporal prediction.

The team offers the possibility to apply for a permanent position as Chargé de Recherche
(CR) or Directeur de Recherche (DR) in the research field of computational neuroscience
with a strong focus on stochastic dynamics linking brain network modelling with experimental

data. The new colleague should have a strong expertise in mathematical/computational

modelling with a focus on nonlinear dynamics and/or network dynamics, as well as strong

interest in clinical applications. Strong programming skills are mandatory.      

Inria is a French National Institute for Research in Digital Science and Technology
(https://www.inria.fr/en) with 9 research centres in France. The team is located in the centre

of Strasbourg on the hospital campus as part of the Research Centre at University of Lorraine

in Nancy. Applications are welcome from now on until end of January 2026, but it is strongly

recommended to contact us well in advance.

For more details or sending your application documents (motivation letter, CV including

publication list), please contact Dr. Axel Hutt (email: axel.hutt@inria.fr) .