As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
Knowledge graphs provide repositories of explainable descriptions of real world situations. They represent the key features of data collections, and can be used in tasks such as classification, recommendation, analysis or question answering. They are now increasingly being used in AI systems to tackle data sparsity and cold start problems. The scale and scope of knowledge graphs continues to increase with graphs themselves becoming rich multimodal knowledge stores, containing text, images and other media alongside formalised facts. These rich repositories are creating new opportunities for using knowledge in novel ways in a wide variety of applications. However, to realize the potential of this new generation of knowledge graphs, new techniques drawing on information retrieval, natural language processing and data science are needed to help users or agents to effectively query the graphs to identify key knowledge patterns, to rank or to compare entities.
This PhD aims to devise new techniques to help users to identify significant patterns in longitudinal knowledge graphs describing healthcare settings. For example repeating events representing key institutional capabilities or vital institutional knowledge for safety management applications. New methods and tools will be developed for multimodal graph comparison, dialog-based user support for mining insights from knowledge graphs and automated query extraction. This research will be aligned with the EU guidelines on trustworthy AI and leverage a mix of information retrieval, natural language processing, knowledge graphs and user-centric systems research techniques. This work will push the boundaries of querying for multi-modal knowledge graphs, knowledge entity ranking and recommendation, graph comparison to unstructured open knowledge and documents. This PhD will feature collaboration with our industry partners in health information systems, aviation, and risk management and so equip the successful candidate for career paths in both industry and academia.
The successful candidate will work within a large group of academics, postdoctoral researchers and PhD students and will be part of both the Transparent Digital Governance and the Digitally Enhanced Engagement research strands of the ADAPT Centre under the supervision of Dr Rob Brennan in University College Dublin and Prof Gareth Jones in Dublin City University.
Informal Inquiries can be sent to Dr Rob Brennan (email@example.com) or Prof Gareth Jones (firstname.lastname@example.org)
ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.