Location: Trinity College Dublin
Level: PhD

We are recruiting for a PhD to work with us in the  Marie Curie Initial Training Network project called HELICAL. a

The post is for 1 x early stage researcher (ESR) who will undertake a three year PhD studentship as part of the H2020-MSCA-ITN-2018 HELICAL (Co-ordinator: Professor Mark Little, Trinity College Dublin, TCD).

HELICAL is an EU funded Marie Curie Innovative Training Network (ITN) with 17 Academic Partners and nine Non-Academic Partners.

This post is to be based in ADAPT at the School of Computer Science and Statistics, Trinity College Dublin and will be supervised by Professor Declan O'Sullivan .

The project is entitled Scalable semantic data architecture for study of chronic disease .

The successful applicant will adapt an existing geo-spatial semantic data architecture to support RDF-based data management mechanisms to promote research while protecting privacy. The existing infrastructure allows scalable incorporation of data streams deriving environmental archives (weather, pollution and infectious agents), near-patient app-derived information and RKD registry data. The applicant will set up RDF-based scalable infrastructure to uplift and integrate data, to export data to analytic tools, and support pre-processing for deeper patient set analysis using machine learning approaches, with a view to comparing app-derived data between patients suffering a vasculitis flare and those remaining in remission.

See https://euraxess.ec.europa.eu/jobs/377149 for more details.