Insight Centre for Data Analytics PhD Position in Data Modelling and Simulation

The healthcare and Life Sciences (HCLS) domains are developing into data driven sciences. In particular data produced in the public domain, e.g. data from population surveillance, requires large-scale processing, modelling and semantic annotation to provide sufficient support in the decision processes linked to the risk assessment for the population, e.g. in the case of epidemic and pandemic outbursts.  In addition, increasingly semantic Web technologies are being applied in these knowledge rich domains to achieve interoperability of data and the semantic normalisation of the data resources for subsequent interpretation.

The PhD position will focus on data modelling in the biomedical domain and on the simulation of biomedical and social diffusion processes. These processes are linked to the tracking of disease outburst in social media in correlation with or in contrast to other reporting data from public resources and statistical information from official sites.  It is the overall goal to determine predictive parameters for future outbreaks. Systematic comparisons between outbreaks of similar or different types from consecutive years will provide insights into the parameters relevant to the outbreaks.