Dear all, I'm looking to hire a post-doctoral researcher in human computation and/or knowledge representation for my upcoming ERC-funded project that starts in May 2024: https://www.helsinki.fi/en/researchgroups/multimodality/a-foundation-for-emp... This position is for a fixed term of 36 months and based at the newly founded Multimodality Research Group in the Department of Languages at the University of Helsinki, Finland: https://www.helsinki.fi/en/researchgroups/multimodality/ PROJECT: The project develops novel methods for studying the phenomenon of multimodality, that is, how communication and interaction rely on intentional combinations of multiple 'modes' of expression. The project will use crowdsourcing for gathering human insights at scale, which are then processed and searched for patterns using neuro-symbolic artificial intelligence, such as graph neural networks. The methods and resources developed in the project will enable developing empirically founded theories about multimodal communication in the domain of everyday cultural artefacts. The data studied in the project includes, for example, school textbooks, user-generated explanation videos on social media, news broadcasts, instruction manuals and online newspapers. RESPONSIBILITIES: The post-doctoral researcher will be responsible for developing graph-based representations of multimodal discourse, that is, how different modes of expression – such as written and spoken language, photographs, diagrams, embodied communication, etc. – are combined in page-based and audiovisual media studied in the project. Insights about multimodal discourse are collected at scale using crowdsourcing and compiled into graph-based representations, which is why the appointee is also expected to participate in designing crowdsourcing pipelines and computational methods for quality control and knowledge representation. QUALIFICATIONS: The appointee must hold a doctoral degree in computer science, digital humanities or a related field. A deep understanding of modern approaches to knowledge representation (especially knowledge graphs) and/or human computation (crowdsourcing or citizen science) is considered essential for the planned research. A successful candidate should also have a solid understanding of programming languages such as Python and libraries used for processing and managing data (e.g. pandas, PyTorch, NetworkX). Experience in collaborative development of research software is considered an advantage. For the full announcement with additional details, please see https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-in-human-comp... Please share the announcement widely – for additional information about the position, please e-mail tuomo.hiippala@helsinki.fi. Best, Tuomo Hiippala --- Tuomo Hiippala Associate Professor in English Language and Digital Humanities (tenure track) Department of Languages University of Helsinki Finland +358 50 377 33 66 http://www.helsinki.fi/~thiippal/