Two postdoctoral research positions and three PhD positions are available at the Sussex Centre for Consciousness Science (SCCS). The postdoc positions are funded for 2 years with a possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded for 3.5 years, starting in September 2024, with an earlier start being negotiable. The ERC-funded positions will focus on computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will specifically focus on perceptual diversity, analyzing and extending the Perception Census project. The SCCS PhD position is flexible regarding project focus and supervisor, inviting proposals with a computational/informatics element.

Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS). The postdoc positions are funded for 2 years with a possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending the Perception Census project. The SCCS PhD is flexible in terms of project focus and supervisor, inviting PhD proposals that have a computational/informatics element.

Exciting opportunity for early-stage researchers to join the TUAI (Towards an Understanding of Artificial Intelligence) project, a Marie Skłodowska-Curie Doctoral Network funded by the European Union’s Horizon Europe program. We are currently offering PhD positions aimed at fostering transparent, open, and explainable AI through innovative research. The TUAI project aims to bridge technical advancements in AI with societal needs, promoting ethical, responsible, and inclusive AI systems.