Contract Type: Fixed-term for 12 months
Faculty: Faculty of Engineering
We are looking for a Research Associate to join the OAK Group in The University of Sheffield to undertake applied ontology development and (semi-) automated knowledge graph creation for healthcare applications.
You will need to have experience in ontology development and population at PhD level or have the equivalent experience. You will contribute to the aims and objectives of the Department by carrying out excellent research in ontology development and its application for a specific healthcare topic. You will disseminate the results of the research in International Journals and Conferences. The Research Associate will develop an ontology for the healthcare domain and analyse an existing dataset to (semi-) automatically generate knowledge graphs. Moreover, the Research Associate will create mechanisms for inserting new cases and reasoning on them.
You will need good programming skills in different languages and experience using semantic web tools and standards.
The Research Associate will work on a project funded by the Sheffield Children’s Hospital Charity, carried out in cooperation with the Sheffield Children’s Hospital and will be supported by the Project PI and Co-I.
You will join the Organisation, Information and Knowledge Group in the Computer Science Department at the University of Sheffield. The Organisation, Information and Knowledge Group conducts research and innovation in the area of large-scale data, information and knowledge acquisition, integration and sharing. The Group includes a senior academic, Professor Fabio Ciravegna, Professor of Pervasive Technologies, a Senior Lecturer in Medical Computing spending 50% of her time supporting innovation at Sheffield Teaching Hospitals, Dr. Vitaveska Lanfranchi, a Senior Lecturer in Large Scale Data Fusion (Dr. Po Yang), a Lecturer in Pervasive and Ubiquitous Computing (Dr. Valentin Radu) and a Lecturer and several senior research scientists, Research Associates, Research Assistants and PhD students.
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