Research Fellow in Spatial Reasoning University of Leeds Do you have an interest in interdisciplinary research involving developing and applying AI techniques, in particular those involving qualitative spatial reasoning, to datasets from the humanities? Would you like to collaborate with a range of partners from other Universities in the UK (Lancaster, Bristol, Manchester) and the USA (Stanford, IUPUI) across a range of disciplines (History, English, Digital Humanities) to help gain an understanding of spatial information in textual corpora such as The Corpus of Lake District Writing, and Holocaust survivor testimonies? You will be involved in designing the semantic representations for the project as part of Work Package 2 (WP2). Work Package 1 (WP1) will develop methods to analyse the texts and annotate the constituent elements with named entities, spatial and temporal relations and PoS tags. WP2 will use the annotation from WP1 to analyse meanings of spatio-temporal relationships in the corpora. You will investigate the overlap between these relationships and existing spatio-temporal calculi (sets of relationships encoding spatial and temporal semantics with associated inference mechanisms). You will help design calculi that extend current AI-focussed work in qualitative spatio-temporal representation to narratives. These representations will not only allow the expression of qualitative relationships, but also those which are vague and imprecise. You will have a strong background and hold a PhD (or have submitted your thesis before taking up the role) in the area of knowledge representation and reasoning or a closely allied area. This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Further details of the post and the application procedure can be found here: https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSCP1106
Prof A G Cohn, FREng, CEng, CITP, FAAAI, FEurAI, FAISB, FIET, FBCS School of Computing, University of Leeds, Leeds, LS2 9JT Turing Fellow, Alan Turing Institute T: 0113 3435482 https://tinyurl.com/A-G-Cohn E: a.g.cohn@leeds.ac.ukmailto:a.g.cohn@leeds.ac.uk