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.
Stipend: PhD scholarship stipend of 18,000 per year, no tax. The duration of the contract will be 4 years as a fully funded PhD.
Application procedure
Informal enquiries about these positions may be made to:
Prof. Dr. Dietrich Rebholz-Schuhmann
Insight Centre for Data Analytics
NUI Galway, The DERI building
IDA Business Park, Lower Dangan
Galway, IRELAND
Email: rebholz@insight-centre.org
Dr. Jim Duggan
National University of Ireland, Galway
Email: james.duggan@nuigalway.ie
Application
When applying, please use the same email addresses above and put " PhD Position in data modelling and simulation" in the subject line of your email. Candidates are requested to submit (1) a cover letter explaining your intentions, and (2) a CV (in PDF format) giving details on your academic degrees, working experiences and IT skills (maximum 2 pages). It is difficult but still advantageous, if you can write a paragraph (e.g. in the cover letter, or extra), what ambitions in the PhD position appeal most to you.
Interviews will be carried out towards middle and end of October via skype conference call, and the position can be filled without much delay if required. We expect the successful candidate to start at the earliest possible date, ideally towards December 2015.
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