Researcher in Computational Neurosscience and Artificial Intelligence M/F

CNRS; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research organization in France seeks a researcher in neuroscience focused on artificial neural networks. The successful candidate will utilize programming skills in Python and experience in convolutional neural networks to investigate invariant recognition of natural sounds. Responsibilities include data analysis, result presentation, and writing research reports. Finding collaborative and effective communication within a team is crucial for this interdisciplinary project.

Qualifications

• Expertise in Python/PyTorch programming for implementing AI networks.
• Prior experience in convolutional neural networks and data analysis.
• Fluency in English for clear and concise communication.

Responsabilités

• Use artificial neural networks for invariant recognition of natural sounds.
• Analyze multidimensional data and present research results.
• Write research articles and reports.

Connaissances

Python programming

Convolutional neural network programming

Numerical analysis

Mathematical analysis

Effective communication

Description du poste

Organisation/Company CNRS Department Institut de l'Audition Research Field Neurosciences Biological sciences Researcher Profile Recognised Researcher (R2) Country France Application Deadline 6 Jan 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Artificial neural networks capable of invariant recognition of sensory objects can encode sensory information in a way that is remarkably similar to the human or animal brain. Brice Bathellier's team is involved in a research program aimed at understanding this similarity and identifying the operations necessary for invariant recognition. Within this framework, the recruited researcher's mission will be to use an artificial neural network to identify the representational bases necessary for the invariant recognition of natural sounds and to propose experimental measures to test the extent to which these representational bases are present in the brain.

• Python/PyTorch programming for implementing AI networks
• Numerical analysis of multidimensional data
• Mathematical analysis
• Presentation of results and writing of research articles and reports

The successful candidate will report to Brice Bathellier and join the Dynamics and Neural Codes Team at the Pasteur Institute (Hearing Institute). This project also involves interaction with national partners.

• Expertise in convolutional neural network programming for artificial intelligence
• Expertise in mathematical network analysis
• Expertise in Python programming for data analysis

Prior experience in these areas is expected.

• Fluency in English for written and spoken communication. Clear and concise communication.

• Ability to work effectively in a team on interdisciplinary projects.