We are offering a PhD topic that bridges large language models with neuroscience. **Deadline for application: no later than April 23rd** Location: Bordeaux NeuroCampus (France) Laboratories: Inria & Neurological Diseases Insitute This project aims to explore the adaptation of large language models (LLMs), such as ChatGPT, to study their potential in understanding human language and identifying associated pathologies. By focusing on advanced neurocomputational models and the use of functional MRI, this work aims to decipher linguistic representations and their individual variations, particularly in pathological contexts such as dyslexia. We are seeking a candidate with an interdisciplinary research mindset, combining a strong interest in cognitive neuroscience with a solid proficiency in machine learning. The candidate should have a good command of Python scientific libraries (numpy/scipy) and be comfortable with mathematical/statistical concepts, in addition to proficiency in technical English. The project will take place in a dynamic and collaborative research environment linked to the Inria Exploratory Action project "BrainGPT", with access to imaging methods such as MRI and intensive computing clusters. The expected results have the potential to transform our understanding of the neural bases of language and open new avenues for personalized education and language pathology treatment. Applications must be submitted as soon as possible and no later than *April 23rd*, with the thesis expected to begin on October 1st, 2024. To apply, please send your CV, a cover letter, your academic transcripts since high school, and letters of recommendation to these two email addresses: gael.jobard@u-bordeaux.fr & xavier.hinaut@inria.fr For more information (please disregard the deadline mentioned in the link): https://adum.fr/as/ed/voirproposition.pl?matricule_prop=55386 or informally via email: gael.jobard@u-bordeaux.fr & xavier.hinaut@inria.fr Best regards, Xavier Hinaut Inria Research Scientist — www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy