Postdoctoral position available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking a highly motivated and dedicated post-doc to join our group in Toulouse, France in the Fall/Winter of 2026. The successful candidate will have a PhD and formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" (2023-2028) aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. Details on the ideas developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have access to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 1 year, renewable for a 2nd year and beyond. The beginning post-doc salary is about 2,500 Euros/month (net), and can reach 3,500 Euros/month (net) for more experienced post-docs. The application procedure and additional information can be found on the CNRS portal <https://emploi.cnrs.fr/Offres/CDD/UMR5549-LESMAR-017/Default.aspx?lang=EN>. Please direct any query to: rufin.vanrullen [at] cnrs.fr --