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PhD Position in data modelling and simulation (for the biomedical domain), Ireland


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.

 The Insight Centre for Data Analytics at the National University of Ireland, Galway, invites applications for a PhD position in the area of data modelling, simulation, statistical models, development of prediction models. The PhD student will be hosted by the IT department of the National University of Ireland in Galway (NUIG) and the Insight Institute at NUIG. The selected candidate will be embedded in international collaborations and European research projects. The candidate will be enabled to publish in high impact international conferences and journals and to participate in world leading research.


  • Four Years Bachelor’s Degree or Master’s Degree in Computer Science, Statistics, Data Analytics, Operations Research, Information Technology, or Bioinformatics

  • Good knowledge of data modelling principles, for example machine learning, statistics for data analysis

  • Good background in Java, Python or R programming 

  • Strong interest in building mathematical models for simulation

  • Alternative skills: semantic web technologies, data analytics, machine learning


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



Dr. Jim Duggan

National University of Ireland, Galway


Insight Centre for Data Analytics (previously DERI is a leading research institute in Semantic Web/Linked Data technologies that offers a stimulating, dynamic and multi-cultural research environment, excellent ties to research-groups worldwide, close collaboration with industrial partners and up-to-date infrastructure and resources.


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. 

Further Information

Application Deadline : 30 November 2015

PhD Position in data modelling and simulation (for the biomedical domain) : PDF

Contact Email:

Posted on 2015-11-14 02:40:11

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