Université Grenoble Alpes
Saint-Martin-d’Hères, France

Postdoctoral Researcher in Computational Neuroscience and Artificial Intelligence Université Grenoble Alpes, France

Job Type
Postdoc
Field
Computer Science, Neuroscience
Location
Saint-Martin-d’Hères, France
Published
Oct 2, 2026
Deadline
October 22, 2026

Summary

The University Grenoble Alpes seeks a full-time postdoctoral researcher for a one‑year fixed‑term position at the Laboratory of Psychology and NeuroCognition (LPNC) in Gières. The researcher will join the Vision and Emotion team within the BRAINSYNC project, developing and validating AI models to decode brain activity from multimodal neuroimaging and electrophysiological data. Responsibilities include building deep‑learning models for fMRI and ECoG, applying explainable AI to study brain lesions and recovery, analyzing neural signals, collaborating with partners such as CEA and Clinatec, publishing results, and supervising interns. The role requires strong machine‑learning expertise, neuroimaging knowledge, Python programming, and good English. Salary starts at €2,900 gross per month, and the application deadline is 22 October 2026.

Key Facts

DepartmentLaboratory of Psychology and NeuroCognition (LPNC)
Position TypeFull-time postdoctoral researcher
DisciplineComputational Neuroscience and Artificial Intelligence
Research AreaArtificial intelligence models for decoding brain activity and supporting post-stroke neurorehabilitation
Experience2-5 years professional experience (preferred)
Salary€2,900 gross per month (starting)
FundingSalary
Contract Duration1 year (fixed-term)
LanguageEnglish
Deadline2026-10-22

About the Project

The BRAINSYNC project aims to create frugal, interpretable artificial‑intelligence models that decode brain activity, initially in healthy participants and later using patient data, to support post‑stroke neurorehabilitation and motor‑recovery research. The project integrates multimodal neuroimaging and electrophysiological data, focusing on vision and emotion processing, and emphasizes open‑science dissemination of predictive models and findings.

Key Responsibilities

  • Develop deep‑learning models (CNNs, Transformers, RNNs) for fMRI and ECoG data
  • Apply explainable and predictive AI to study brain lesions, functional disabilities, and recovery
  • Analyze brain signals and link neural activity with cognitive and motor functions
  • Collaborate with project partners (CEA, Grenoble University Hospital, APHP, Clinatec)
  • Publish research, contribute to project deliverables and open‑science dissemination
  • Supervise interns

Required Skills

  • Strong machine‑learning and deep‑learning skills
  • Knowledge of neuroimaging methods (fMRI, ECoG, MEG)
  • Scientific programming in Python
  • Experience with PyTorch or TensorFlow
  • Familiarity with Git
  • Experience with fMRI processing tools (FSL, SPM, Nilearn)
  • Research autonomy and interdisciplinary collaboration
  • Good written and spoken English

Who Should Apply

Postdoctoral candidates with two to five years of professional experience, strong machine‑learning and deep‑learning expertise, knowledge of neuroimaging techniques (fMRI, ECoG, MEG), proficiency in Python and frameworks like PyTorch or TensorFlow, familiarity with Git and fMRI processing tools, research autonomy, interdisciplinary collaboration skills, and good written and spoken English should apply.

About the Employer

Université Grenoble Alpes is recruiting a full-time postdoctoral researcher for a one‑year fixed‑term position at the Laboratory of Psychology and NeuroCognition (LPNC).

Frequently Asked Questions

What is the contract length?

The position is a one‑year fixed‑term contract.

What is the salary?

Salary starts at €2,900 gross per month, depending on experience.

When is the application deadline?

The deadline is 22 October 2026.

Where is the position located?

The position is based at LPNC in Gières.

What language proficiency is required?

Good written and spoken English is required.

This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.