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:
It is estimated that over 2,000 exabytes of health data were created globally in 2020. Much of this data was generated to support care, in acute and primary care, in connected health and other contexts. It is well known that modern AI techniques often require large training data sets.
This immense and rich global eHealth information resource, when it is suitably organised and semantically linked, will enable AI to find new knowledge in health data. With the addition of AI, data quality assessed healthcare information has the potential to radically transform healthcare, through new clinical research discoveries and outcomes. As we move towards a learning healthcare system, one in which healthcare data flows to the research databases on which AI/ML techniques generate new knowledge, the proposed research considers what data quality issues arise in the eHealth domain and how can they be alleviated?
A possible focus for the work is requirements to enable clinical care data to automatically populate clinical registries. Currently, these are considered separate and registry data is considered ‘cleaner’. The second avenue of this PhD might look at whether and how ML techniques can take into account data quality metadata. as
Upon completion of the work the successful candidate will be in a position, as an expert on data quality for AI, to significantly improve the impact of AI and data analytics in the eHealth domain. They will also be in a position to work in this area in large data-centric ICT organisations in the health domain and elsewhere.
The successful candidate can avail of the opportunity to undertake their research as part of an interdisciplinary team of eHealth experts across the ADAPT institutions. The student will be co-supervised by Prof Gaye Stephens (TCD) and Prof Lucy Hederman (TCD) and Prof Damon Berry (TU Dublin).
As part of your application, you will be required to submit the following via https://forms.gle/4ZDc2DLRqbPj42VN6
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.