Missions

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.

Activités

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

Compétences

- 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.

Contexte de travail

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.