Postdoc: Neurosymbolic Reasoning in Multimodal World Models

Two-year, full-time postdoctoral appointment investigating commonsense reasoning in multimodal world models. Research combines neural and symbolic methods to represent abstractions, causality, space and time, with the aim of improving human-centred AI. The project involves collaboration across AI, computer vision and reasoning, alongside limited teaching and student supervision. The preferred start is in the first quarter of 2027.

PhD in machine learning, computer vision, natural language processing, neurosymbolic AI or a closely related field. Candidates should demonstrate research publications, algorithm-development experience, Python and deep-learning skills, and effective English communication. Apply through the university recruitment page with a CV and motivation letter.